El propósito de este notebook es el de ajustar, utilizando un modelo logístico, los datos disponibles de casos confirmados y muertes del coronavirus COVID-19.
Actualización de gráficos, ajustes y registros: 31.08.2020
# Módulos necesarios
import csv # manejo de archivos csv
import datetime
from datetime import date, timedelta
import matplotlib.pyplot as plt # gráficos
import matplotlib.cm as cm # paletas de colores
from matplotlib.lines import Line2D # markers
import math
import requests # accede a datos online
import numpy as np # numpy!
from scipy.optimize import curve_fit # ajuste de datos
import warnings
from scipy.optimize import OptimizeWarning
url_cases = 'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv'
url_deadths = 'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv'
r_cases = requests.get(url_cases)
r_deadths = requests.get(url_deadths)
Los diccionarios siguientes agrupan los países que serán analizados según si son "cercanos" o "lejanos". Los datos en los archivos originales tienen la región en la primer columna y el país en la segunda. Por eso el diccionario está compuesto por una lista con dos elementos: región y país. La clave del diccionario es como se identifica al país en los datos originales, el segundo elemento de la lista es su nombre en español.
Los datos quedan agrupados en dos diccionarios, con las claves con el nombre del país, y los valores son array de datos.
paises_lat = {'Argentina': ['','Argentina'], 'Brazil': ['','Brasil'], 'Chile': ['','Chile'],
'Ecuador': ['','Ecuador'], 'Perú': ['','Perú'], 'Colombia': ['','Colombia']}
paises_no_lat = {'Spain': ['','España'], 'Italy': ['','Italia'], 'United Kingdom': ['','Reino Unido'],
'US': ['','Estados Unidos'], 'Germany': ['','Alemania'],
'China':['Hubei','China-Hubei'], 'France': ['', 'Francia']}
paises_escandinavos = {'Denmark': ['','Dinamarca'], 'Norway': ['', 'Noruega'], 'Sweden': ['', 'Suecia'],
'Finland': ['', 'Finlandia'], 'Iceland': ['', 'Islandia']}
cases_csv = csv.reader(r_cases.text.strip().split('\n'))
deadths_csv = csv.reader(r_deadths.text.strip().split('\n'))
cases_lat = {}
cases_no_lat = {}
cases_scand = {}
fmt_date = '%m/%d/%y'
for record in cases_csv:
if record[0] == 'Province/State':
fechas = [datetime.datetime.strptime(d, fmt_date) for d in record[4:]]
if record[1] in paises_lat.keys() and record[0] == paises_lat[record[1]][0]:
cases = np.array([int(c) for c in record[4:]])
cases_lat[paises_lat[record[1]][1]] = cases
if record[1] in paises_no_lat.keys() and record[0] == paises_no_lat[record[1]][0]:
cases = np.array([int(c) for c in record[4:]])
cases_no_lat[paises_no_lat[record[1]][1]] = cases
if record[1] in paises_escandinavos.keys() and record[0] == paises_escandinavos[record[1]][0]:
cases = np.array([int(c) for c in record[4:]])
cases_scand[paises_escandinavos[record[1]][1]] = cases
deadths_lat = {}
deadths_no_lat = {}
deadths_scand = {}
for record in deadths_csv:
if record[1] in paises_lat.keys() and record[0] == paises_lat[record[1]][0]:
cases = np.array([int(c) for c in record[4:]])
deadths_lat[paises_lat[record[1]][1]] = cases
if record[1] in paises_no_lat.keys() and record[0] == paises_no_lat[record[1]][0]:
cases = np.array([int(c) for c in record[4:]])
deadths_no_lat[paises_no_lat[record[1]][1]] = cases
if record[1] in paises_escandinavos.keys() and record[0] == paises_escandinavos[record[1]][0]:
cases = np.array([int(c) for c in record[4:]])
deadths_scand[paises_escandinavos[record[1]][1]] = cases
El modelo de ajuste es el logístico. Este modelo representa la dinámica de una población que presenta un límite en el crecimiento, debido a disponibilidad limitada de recursos o, como en el caso de una población que sufre una epidemia, el aumento en la cantidad de personas contagiadas disminuye a medida que hay menos personas susceptibles de contraer el virus.
Puede verse una descripción detallada del modelo en el trabajo de Gábor Vattay: "Predicting the ultimate outcome of the COVID-19 outbreak in Italy" del 17 de marzo de 2020.
El modelo consiste en representar la dinámica de una población a través de la ecuación logística: \begin{align} \frac{dN(t)}{dt} = \lambda_0 \, N(t) \, \left(1 - \frac{N(t)}{N_{\infty}} \right) \end{align} donde $\lambda_0$ es un coeficiente relacionado con la tasa de crecimiento que depende de la cantidad de individuos de la población (ver ecuaciones 2 y 3 del paper citado), $N$ es la cantidad de individuos, $t$ es el tiempo, y $N_{\infty}$ en el valor límite que puede alcanzar la población.
La solución de la ecuación logística es:
\begin{align} N(t) = \frac{N_{\infty}}{1 + \left( \frac{N_{\infty}}{N_0} - 1 \right) \, e^{- \lambda_0 \, t}} \end{align}donde $N_0$ es el número de individuos de la población cuando $t=0$. En este notebook, $N$ puede representar tanto el número de casos confirmados como el número de personas fallecidas.
Con esta expresión, se puede definir el tiempo final $t_f$ de la epidemia cuando el número de casos alcanza la fracción $(1-p)$ de los casos totales: \begin{align} (1-p) N_{\infty} = \frac{N_{\infty}}{1 + \left( \frac{N_{\infty}}{N_0} - 1 \right) \, e^{- \lambda_0 \, t_f}} \end{align} Cuando $ p \ll 1 $ es una fracción muy pequeña, la solución de la ecuación anterior es: \begin{align} t_f = \frac{1}{\lambda_0} \log \left( \frac{N_{\infty}}{N_0} - 1 \right) - \frac{1}{\lambda_0} \log p \end{align}
def logistic(t, Ninf, N0, lamb):
return Ninf / (1.0 + (Ninf/N0 - 1.0) * np.exp(-lamb * t))
plot_fit
es la función que visualiza los datos y realiza el ajuste del modelo logístico.
Recibe como argumentos el diccionario con los datos a ajustar, el umbral de valores a partir del cual se realiza el ajuste, una string que será la etiqueta del eje vertical, un argumento lógico (True
o False
) para seleccionar el eje vertical en escala logarítmica, y el valor de $p_f$ para realizar la estimación de la fecha final de la epidemia.
Esta función se aplicará a los casos confirmados y muertes, para el conjunto de países latinoamericanos y no LATAM.
markers = Line2D.filled_markers
cmap = cm.get_cmap('brg')
def plot_fit(data, umbral, ylabel, logscale=True, p_fin=0.01):
''' Función que genera un gráfico de los datos recibidos en data, y ajusta el
modelo logístico a partir de un umbral de valores. ylabel es una string para
identificar el eje vertical. Si logscale es False, se usa una escala lineal
en el eje vertical. (1 - p_fin) es la proporción de casos totales utilzada para
estimar la finalización de la epidemia.
El ajuste se muestra como línea en la visualización, y se presentan los valores
obtenidos de N_inf y lambda, con la correspondiente desviación estándar.'''
markers = Line2D.filled_markers
colors = cmap(np.linspace(0, 1, len(data.keys())))
fig, ax = plt.subplots(1,1, figsize=(12,10))
iter = 0
thres = umbral # Valor de casos a partir de los que hago el ajuste
for pais, valores in data.items():
print(80 * '-')
mask_t1 = (valores >= 1) # para plotear solo desde que hay casos registrados
time_1 = np.arange(valores[mask_t1].size)
t1 = np.where(mask_t1 == True)[0][0] # índice a partir de los cuales tengo datos >= 1
mask_fit = (valores >= thres) # para seleccionar para el ajuste solo los valores >= thres
time_fit = np.arange(valores[mask_fit].size) # índice a partir de los cuales tengo datos >= 1
tThres = np.where(mask_fit == True)[0][0] # índice a partir de los cuales tengo datos >= thres
ax.plot(time_1, valores[mask_t1], marker=markers[iter], color=colors[iter], lw=0, label=pais, alpha=0.7)
popt, pcov = -1, -1
warnings.simplefilter("error", OptimizeWarning)
try:
popt, pcov = curve_fit(logistic, time_fit, valores[mask_fit], method='lm')
except OptimizeWarning:
print(f'No se pueden calcular las varianzas para {pais}')
iter += 1
continue
except:
print(f'No hay convergencia para {pais}')
iter += 1
continue
stde = np.sqrt(np.diag(pcov))
print(pais)
print('N_inf:', int(popt[0]), '+/-', int(stde[0]), '(1 sigma)')
print('lambda_0: {:.3f} +/- {:.3f} (1 sigma)'.format(popt[2], stde[2]))
ax.plot(time_fit + tThres - t1, logistic(time_fit, *popt), '-', color=colors[iter], lw=2)
Ni, N0, l0 = popt
try:
t_fin = math.ceil(math.log(Ni/N0 - 1) / l0 - math.log(p_fin)/l0)
except:
print('Error en el cálculo de t_fin')
date_fin = (fechas[tThres] + timedelta(t_fin)).date()
print(f't_fin({p_fin}): {t_fin} días desde el primer caso de ajuste (día {tThres}) -> {date_fin}')
iter += 1
if logscale:
plt.semilogy()
plt.xlabel('Días desde el primer caso')
plt.ylabel(ylabel)
plt.legend()
plt.show()
El número de casos confirmados se obtiene a partir de los test que se le realizan a las personas. Cada país tiene políticas diferentes para aplicar estos tests. Tal vez el país que masivamente ha evaluado a su población sea Corea del Sur. Dado que no se evalúa a toda la población, este número está subestimado.
plot_fit(cases_no_lat, 7000, 'Casos confirmados', p_fin=0.01)
-------------------------------------------------------------------------------- China-Hubei N_inf: 68040 +/- 77 (1 sigma) lambda_0: 0.229 +/- 0.004 (1 sigma) t_fin(0.01): 29 días desde el primer caso de ajuste (día 10) -> 2020-03-01 -------------------------------------------------------------------------------- Francia N_inf: 210612 +/- 2433 (1 sigma) lambda_0: 0.070 +/- 0.005 (1 sigma) t_fin(0.01): 93 días desde el primer caso de ajuste (día 55) -> 2020-06-18 -------------------------------------------------------------------------------- Alemania N_inf: 205240 +/- 1628 (1 sigma) lambda_0: 0.064 +/- 0.003 (1 sigma) t_fin(0.01): 97 días desde el primer caso de ajuste (día 54) -> 2020-06-21 -------------------------------------------------------------------------------- Italia N_inf: 243946 +/- 852 (1 sigma) lambda_0: 0.075 +/- 0.002 (1 sigma) t_fin(0.01): 91 días desde el primer caso de ajuste (día 46) -> 2020-06-07 -------------------------------------------------------------------------------- España N_inf: 421082 +/- 37320 (1 sigma) lambda_0: 0.017 +/- 0.002 (1 sigma) t_fin(0.01): 348 días desde el primer caso de ajuste (día 53) -> 2021-02-26 -------------------------------------------------------------------------------- Estados Unidos N_inf: 10016168 +/- 496821 (1 sigma) lambda_0: 0.023 +/- 0.001 (1 sigma) t_fin(0.01): 349 días desde el primer caso de ajuste (día 56) -> 2021-03-02 -------------------------------------------------------------------------------- Reino Unido N_inf: 302791 +/- 1608 (1 sigma) lambda_0: 0.057 +/- 0.002 (1 sigma) t_fin(0.01): 119 días desde el primer caso de ajuste (día 58) -> 2020-07-17
<ipython-input-4-211a050ac965>:2: RuntimeWarning: overflow encountered in exp return Ninf / (1.0 + (Ninf/N0 - 1.0) * np.exp(-lamb * t)) <ipython-input-4-211a050ac965>:2: RuntimeWarning: overflow encountered in multiply return Ninf / (1.0 + (Ninf/N0 - 1.0) * np.exp(-lamb * t))
plot_fit(cases_lat, 5000, 'Casos confirmados', logscale=True, p_fin=0.01)
-------------------------------------------------------------------------------- Argentina N_inf: 691042 +/- 10862 (1 sigma) lambda_0: 0.043 +/- 0.000 (1 sigma) t_fin(0.01): 217 días desde el primer caso de ajuste (día 104) -> 2020-12-08 -------------------------------------------------------------------------------- No hay convergencia para Brasil -------------------------------------------------------------------------------- Chile N_inf: 389003 +/- 2121 (1 sigma) lambda_0: 0.059 +/- 0.001 (1 sigma) t_fin(0.01): 148 días desde el primer caso de ajuste (día 75) -> 2020-09-01 -------------------------------------------------------------------------------- Colombia N_inf: 996959 +/- 9528 (1 sigma) lambda_0: 0.045 +/- 0.000 (1 sigma) t_fin(0.01): 220 días desde el primer caso de ajuste (día 94) -> 2020-12-01 -------------------------------------------------------------------------------- Ecuador N_inf: 187367 +/- 11978 (1 sigma) lambda_0: 0.020 +/- 0.001 (1 sigma) t_fin(0.01): 352 días desde el primer caso de ajuste (día 79) -> 2021-03-28
plot_fit(cases_scand, 300, 'Casos confirmados', p_fin=0.01)
-------------------------------------------------------------------------------- Dinamarca N_inf: 14164 +/- 138 (1 sigma) lambda_0: 0.047 +/- 0.002 (1 sigma) t_fin(0.01): 140 días desde el primer caso de ajuste (día 49) -> 2020-07-29 -------------------------------------------------------------------------------- Finlandia N_inf: 7448 +/- 24 (1 sigma) lambda_0: 0.066 +/- 0.001 (1 sigma) t_fin(0.01): 104 días desde el primer caso de ajuste (día 55) -> 2020-06-29 -------------------------------------------------------------------------------- Islandia N_inf: 1860 +/- 6 (1 sigma) lambda_0: 0.156 +/- 0.007 (1 sigma) t_fin(0.01): 39 días desde el primer caso de ajuste (día 57) -> 2020-04-27 -------------------------------------------------------------------------------- Noruega N_inf: 9098 +/- 56 (1 sigma) lambda_0: 0.074 +/- 0.003 (1 sigma) t_fin(0.01): 86 días desde el primer caso de ajuste (día 48) -> 2020-06-04 -------------------------------------------------------------------------------- Suecia N_inf: 85714 +/- 490 (1 sigma) lambda_0: 0.040 +/- 0.001 (1 sigma) t_fin(0.01): 200 días desde el primer caso de ajuste (día 47) -> 2020-09-25
El número de personas fallecidas por el COVID-19 se registra con mayor precisión, por lo que sus números son mas confiables que el de los casos confirmados. A continuación hacemos el ajuste del modelo logístico sobre estos datos.
plot_fit(deadths_no_lat, 500, 'Muertes', logscale=True, p_fin=0.01)
-------------------------------------------------------------------------------- China-Hubei N_inf: 4560 +/- 29 (1 sigma) lambda_0: 0.041 +/- 0.002 (1 sigma) t_fin(0.01): 136 días desde el primer caso de ajuste (día 14) -> 2020-06-20 -------------------------------------------------------------------------------- Francia N_inf: 29618 +/- 84 (1 sigma) lambda_0: 0.107 +/- 0.002 (1 sigma) t_fin(0.01): 68 días desde el primer caso de ajuste (día 59) -> 2020-05-28 -------------------------------------------------------------------------------- Alemania N_inf: 9023 +/- 23 (1 sigma) lambda_0: 0.089 +/- 0.002 (1 sigma) t_fin(0.01): 74 días desde el primer caso de ajuste (día 67) -> 2020-06-11 -------------------------------------------------------------------------------- Italia N_inf: 34729 +/- 93 (1 sigma) lambda_0: 0.077 +/- 0.001 (1 sigma) t_fin(0.01): 91 días desde el primer caso de ajuste (día 48) -> 2020-06-09 -------------------------------------------------------------------------------- España N_inf: 28110 +/- 76 (1 sigma) lambda_0: 0.104 +/- 0.002 (1 sigma) t_fin(0.01): 68 días desde el primer caso de ajuste (día 55) -> 2020-05-24 -------------------------------------------------------------------------------- Estados Unidos N_inf: 167578 +/- 2482 (1 sigma) lambda_0: 0.036 +/- 0.002 (1 sigma) t_fin(0.01): 184 días desde el primer caso de ajuste (día 60) -> 2020-09-22 -------------------------------------------------------------------------------- Reino Unido N_inf: 40613 +/- 129 (1 sigma) lambda_0: 0.080 +/- 0.002 (1 sigma) t_fin(0.01): 88 días desde el primer caso de ajuste (día 62) -> 2020-06-20
plot_fit(deadths_lat, 500, 'Muertes', logscale=True, p_fin=0.01)
-------------------------------------------------------------------------------- Argentina N_inf: 86638 +/- 19799 (1 sigma) lambda_0: 0.032 +/- 0.000 (1 sigma) t_fin(0.01): 305 días desde el primer caso de ajuste (día 126) -> 2021-03-28 -------------------------------------------------------------------------------- Brasil N_inf: 129606 +/- 1647 (1 sigma) lambda_0: 0.038 +/- 0.001 (1 sigma) t_fin(0.01): 211 días desde el primer caso de ajuste (día 75) -> 2020-11-03 -------------------------------------------------------------------------------- Chile N_inf: 11119 +/- 90 (1 sigma) lambda_0: 0.061 +/- 0.001 (1 sigma) t_fin(0.01): 119 días desde el primer caso de ajuste (día 118) -> 2020-09-15 -------------------------------------------------------------------------------- Colombia N_inf: 28163 +/- 183 (1 sigma) lambda_0: 0.046 +/- 0.000 (1 sigma) t_fin(0.01): 193 días desde el primer caso de ajuste (día 112) -> 2020-11-22 -------------------------------------------------------------------------------- Ecuador N_inf: 6390 +/- 87 (1 sigma) lambda_0: 0.037 +/- 0.001 (1 sigma) t_fin(0.01): 167 días desde el primer caso de ajuste (día 89) -> 2020-10-04
plot_fit(deadths_scand, 10, 'Muertes', logscale=True, p_fin=0.01)
-------------------------------------------------------------------------------- Dinamarca N_inf: 606 +/- 1 (1 sigma) lambda_0: 0.086 +/- 0.002 (1 sigma) t_fin(0.01): 81 días desde el primer caso de ajuste (día 59) -> 2020-06-10 -------------------------------------------------------------------------------- Finlandia N_inf: 328 +/- 0 (1 sigma) lambda_0: 0.112 +/- 0.002 (1 sigma) t_fin(0.01): 69 días desde el primer caso de ajuste (día 67) -> 2020-06-06 -------------------------------------------------------------------------------- No se pueden calcular las varianzas para Islandia -------------------------------------------------------------------------------- Noruega N_inf: 249 +/- 0 (1 sigma) lambda_0: 0.107 +/- 0.003 (1 sigma) t_fin(0.01): 64 días desde el primer caso de ajuste (día 61) -> 2020-05-26 -------------------------------------------------------------------------------- No hay convergencia para Suecia
Aquí hago una tabla ragistrando las predicciones diarias del modelo para ver cómo va cambiando a medida que se introducen más datos.
Nota: cuando el proceso de ajuste no converge a una solución, o la desviación estándar es de mayor magnitud que el valor ajustado, se denota NC.
Fecha | Casos totales | Desv. Estándar | Muertes totales | Desv. Estándar | Fecha de finalización - casos | Fecha de finalización - muertes |
---|---|---|---|---|---|---|
30.3.2020 | 1165 | 143 | NC | NC | 2020-04-13 | NC |
31.3.2020 | 1154 | 94 | 48 | 22 | 2020-04-12 | 2020-04-15 |
1.4.2020 | 1846 | 381 | 49 | 13 | 2020-04-19 | 2020-04-15 |
2.4.2020 | 1633 | 199 | 42 | 6 | 2020-04-18 | 2020-04-14 |
3.4.2020 | 1569 | 129 | 78 | 24 | 2020-04-17 | 2020-04-23 |
4.4.2020 | 1667 | 16 | 76 | 14 | 2020-04-18 | 2020-04-23 |
6.4.2020 | 1915 | 118 | 62 | 4 | 2020-04-21 | 2020-04-20 |
7.4.2020 | 1943 | 95 | 61 | 3 | 2020-04-21 | 2020-04-19 |
8.4.2020 | 1965 | 78 | 70 | 4 | 2020-04-21 | 2020-04-22 |
9.4.2020 | 2005 | 67 | 86 | 7 | 2020-04-22 | 2020-04-26 |
10.4.2020 | 2049 | 59 | 113 | 19 | 2020-04-22 | 2020-05-02 |
11.4.2020 | 2188 | 74 | 168 | 45 | 2020-04-24 | 2020-05-09 |
12.4.2020 | 2230 | 65 | 147 | 17 | 2020-04-25 | 2020-05-07 |
13.4.2020 | 2347 | 73 | 147 | 14 | 2020-04-27 | 2020-05-06 |
14.4.2020 | 2435 | 74 | 161 | 20 | 2020-04-28 | 2020-05-09 |
15.4.2020 | 2506 | 71 | 157 | 14 | 2020-04-29 | 2020-05-09 |
16.4.2020 | 2634 | 81 | 156 | 9 | 2020-05-01 | 2020-05-08 |
17.4.2020 | 2781 | 94 | 157 | 7 | 2020-05-03 | 2020-05-08 |
18.4.2020 | 2918 | 102 | 164 | 8 | 2020-05-05 | 2020-05-09 |
19.4.2020 | 3040 | 106 | 174 | 8 | 2020-05-06 | 2020-05-12 |
20.4.2020 | 3143 | 107 | 168 | 5 | 2020-05-08 | 2020-05-10 |
21.4.2020 | 3246 | 107 | 167 | 4 | 2020-05-09 | 2020-05-10 |
22.4.2020 | 3320 | 98 | 173 | 4 | 2020-05-10 | 2020-05-11 |
23.4.2020 | 3423 | 99 | 178 | 4 | 2020-05-11 | 2020-05-12 |
24.4.2020 | 3672 | 136 | 189 | 5 | 2020-05-15 | 2020-05-14 |
25.4.2020 | 3935 | 169 | 204 | 6 | 2020-05-18 | 2020-05-17 |
26.4.2020 | 4233 | 207 | 219 | 8 | 2020-05-22 | 2020-05-20 |
27.4.2020 | 4506 | 235 | 236 | 11 | 2020-05-25 | 2020-05-23 |
28.4.2020 | 4745 | 252 | 245 | 10 | 2020-05-27 | 2020-05-24 |
29.4.2020 | 4959 | 262 | 256 | 11 | 2020-05-30 | 2020-05-26 |
30.4.2020 | 5183 | 272 | 266 | 11 | 2020-06-01 | 2020-05-27 |
1.5.2020 | 5399 | 280 | 271 | 10 | 2020-06-03 | 2020-05-28 |
2.5.2020 | 5570 | 278 | 275 | 9 | 2020-06-05 | 2020-05-29 |
3.5.2020 | 5745 | 277 | 281 | 8 | 2020-06-06 | 2020-05-30 |
4.5.2020 | 5792 | 247 | 294 | 9 | 2020-06-06 | 2020-06-01 |
5.5.2020 | 5905 | 238 | 327 | 12 | 2020-06-07 | 2020-06-08 |
6.5.2020 | 6434 | 281 | 341 | 13 | 2020-06-14 | 2020-06-10 |
7.5.2020 | 6584 | 274 | 351 | 12 | 2020-06-16 | 2020-06-12 |
8.5.2020 | 6754 | 272 | 361 | 12 | 2020-06-17 | 2020-06-13 |
9.5.2020 | 7007 | 286 | 386 | 14 | 2020-06-20 | 2020-06-18 |
10.5.2020 | 7263 | 299 | 396 | 14 | 2020-06-22 | 2020-06-19 |
11.5.2020 | 7608 | 330 | 411 | 14 | 2020-06-25 | 2020-06-22 |
12.5.2020 | 8023 | 375 | 416 | 13 | 2020-06-28 | 2020-06-23 |
13.5.2020 | 8554 | 443 | 406 | 11 | 2020-07-02 | 2020-06-20 |
14.5.2020 | 9795 | 616 | 383 | 9 | 2020-07-13 | 2020-06-14 |
15.5.2020 | 10019 | 671 | 399 | 10 | 2020-07-12 | 2020-06-17 |
16.5.2020 | 11585 | 948 | 429 | 13 | 2020-07-23 | 2020-06-22 |
17.5.2020 | 12984 | 1247 | 439 | 13 | 2020-07-30 | 2020-06-24 |
18.5.2020 | 14466 | 1568 | 450 | 13 | 2020-08-05 | 2020-06-26 |
19.5.2020 | 15515 | 1793 | 458 | 13 | 2020-08-08 | 2020-06-27 |
20.5.2020 | 17084 | 2197 | 491 | 14 | 2020-08-13 | 2020-07-03 |
21.5.2020 | 20128 | 3139 | 503 | 14 | 2020-08-22 | 2020-07-04 |
22.5.2020 | 26097 | 5681 | 506 | 14 | 2020-09-04 | 2020-07-04 |
23.5.2020 | 40712 | 15362 | 521 | 16 | 2020-09-23 | 2020-07-06 |
24.5.2020 | 101045 | 104532 | 550 | 18 | 2020-10-26 | 2020-07-10 |
25.5.2020 | 70520 | 46082 | 567 | 18 | 2020-10-07 | 2020-07-13 |
26.5.2020 | NC | NC | 573 | 19 | NC | 2020-07-12 |
27.5.2020 | NC | NC | 582 | 20 | NC | 2020-07-13 |
28.5.2020 | NC | NC | 590 | 19 | NC | 2020-07-13 |
29.5.2020 | NC | NC | 614 | 21 | NC | 2020-07-16 |
30.5.2020 | NC | NC | 678 | 27 | NC | 2020-07-26 |
31.5.2020 | NC | NC | 651 | 22 | NC | 2020-07-20 |
01.6.2020 | NC | NC | 712 | 27 | NC | 2020-07-29 |
02.6.2020 | NC | NC | 720 | 27 | NC | 2020-07-30 |
03.6.2020 | NC | NC | 740 | 28 | NC | 2020-08-01 |
04.6.2020 | NC | NC | 743 | 27 | NC | 2020-07-31 |
05.6.2020 | NC | NC | 786 | 30 | NC | 2020-08-05 |
06.6.2020 | NC | NC | 825 | 35 | NC | 2020-08-09 |
07.6.2020 | NC | NC | 865 | 38 | NC | 2020-08-13 |
08.6.2020 | NC | NC | 905 | 42 | NC | 2020-08-16 |
09.6.2020 | NC | NC | 990 | 52 | NC | 2020-08-24 |
10.6.2020 | NC | NC | 1058 | 62 | NC | 2020-08-30 |
11.6.2020 | NC | NC | 1178 | 78 | NC | 2020-09-08 |
12.6.2020 | NC | NC | 1568 | 146 | NC | 2020-10-04 |
13.6.2020 | NC | NC | 1311 | 100 | NC | 2020-09-15 |
14.6.2020 | NC | NC | 1513 | 137 | NC | 2020-09-26 |
15.6.2020 | NC | NC | 1883 | 215 | NC | 2020-10-15 |
17.6.2020 | NC | NC | 3954 | 922 | NC | 2020-12-07 |
18.6.2020 | NC | NC | 2808 | 439 | NC | 2020-11-12 |
19.6.2020 | NC | NC | 3231 | 577 | NC | 2020-11-20 |
20.6.2020 | NC | NC | 3757 | 770 | NC | 2020-11-29 |
21.6.2020 | NC | NC | 4025 | 834 | NC | 2020-12-03 |
22.6.2020 | 613781 | 292776 | 4111 | 810 | 2020-11-20 | 2020-12-04 |
23.6.2020 | 633848 | 279596 | 5332 | 1243 | 2020-11-21 | 2020-12-20 |
24.6.2020 | 1224130 | 1010724 | 5653 | 1310 | 2020-12-08 | 2020-12-23 |
25.6.2020 | 1159916 | 794496 | 6219 | 1502 | 2020-12-06 | 2020-12-28 |
26.6.2020 | 2980604 | 4959663 | 6865 | 1733 | 2020-12-29 | 2021-01-02 |
27.6.2020 | NC | NC | 7551 | 1981 | NC | 2021-01-07 |
29.6.2020 | NC | NC | 87903 | 204591 | NC | 2021-04-26 |
30.6.2020 | NC | NC | 10811 | 3131 | NC | 2021-01-26 |
01.7.2020 | NC | NC | 10429 | 2693 | NC | 2021-01-25 |
02.7.2020 | NC | NC | 10697 | 2638 | NC | 2021-01-26 |
03.7.2020 | 2007122 | 1308992 | 10663 | 2431 | 2020-12-21 | 2021-01-26 |
04.7.2020 | 1189706 | 426647 | 11584 | 2704 | 2020-12-07 | 2021-01-30 |
06.7.2020 | 615314 | 102645 | 12467 | 2745 | 2020-11-19 | 2021-02-02 |
07.7.2020 | 496534 | 63906 | 15157 | 3959 | 2020-11-12 | 2021-02-11 |
08.7.2020 | 430634 | 45155 | 21199 | 7777 | 2020-11-08 | 2021-02-26 |
10.7.2020 | 390031 | 30804 | 34579 | 19025 | 2020-11-04 | 2021-03-18 |
11.7.2020 | 380519 | 26658 | 39260 | 22969 | 2020-11-03 | 2021-03-23 |
13.7.2020 | 355662 | 19539 | 27603 | 9870 | 2020-11-01 | 2021-03-09 |
14.7.2020 | 335197 | 16055 | 71543 | 55714 | 2020-10-29 | 2021-04-18 |
16.7.2020 | 324102 | 12571 | 96301 | 89360 | 2020-10-28 | 2021-04-29 |
20.7.2020 | 310488 | 7166 | 37620 | 12163 | 2020-10-25 | 2021-03-21 |
22.7.2020 | 322472 | 7037 | 131459 | 150532 | 2020-10-27 | 2021-05-08 |
24.7.2020 | 369869 | 11112 | 25677 | 8956 | 2020-11-03 | 2021-02-25 |
27.7.2020 | 418813 | 15345 | NC | NC | 2020-11-09 | NC |
30.7.2020 | 464923 | 13410 | NC | NC | 2020-11-14 | NC |
05.8.2020 | 515695 | 11453 | NC | NC | 2020-11-19 | NC |
31.8.2020 | 691042 | 10862 | 86638 | 19799 | 2020-12-08 | 2021-03-28 |
Fecha | Casos totales | Desv. Estándar | Muertes totales | Desv. Estándar | Fecha de finalización - casos | Fecha de finalización - muertes |
---|---|---|---|---|---|---|
31.3.2020 | 5526 | 178 | 254 | 22 | 2020-04-09 | 2020-04-12 |
1.4.2020 | 7322 | 650 | 421 | 90 | 2020-04-14 | 2020-04-17 |
2.4.2020 | 11675 | 223 | 551 | 116 | 2020-04-21 | 2020-04-19 |
3.4.2020 | 20827 | 7241 | 26120 | 395617 | 2020-04-29 | 2020-05-13 |
4.4.2020 | 26334 | 8901 | 1544 | 886 | 2020-05-01 | 2020-04-28 |
5.4.2020 | 31033 | 9301 | 1837 | 795 | 2020-05-03 | 2020-04-29 |
6.4.2020 | 25592 | 4454 | 1062 | 165 | 2020-05-01 | 2020-04-24 |
7.4.2020 | 23358 | 2682 | 1075 | 115 | 2020-04-30 | 2020-04-24 |
8.4.2020 | 26723 | 2914 | 1509 | 230 | 2020-05-02 | 2020-04-28 |
9.4.2020 | 34583 | 4675 | 2336 | 514 | 2020-05-06 | 2020-05-03 |
10.4.2020 | 42517 | 6091 | 3096 | 711 | 2020-05-09 | 2020-05-06 |
11.4.2020 | 43763 | 4941 | 2685 | 363 | 2020-05-09 | 2020-05-04 |
12.4.2020 | 39541 | 3084 | 2075 | 166 | 2020-05-08 | 2020-05-01 |
13.4.2020 | 37486 | 2142 | 1923 | 106 | 2020-05-07 | 2020-04-30 |
14.4.2020 | 35930 | 1550 | 1901 | 78 | 2020-05-06 | 2020-04-30 |
15.4.2020 | 36306 | 1269 | 2178 | 116 | 2020-05-06 | 2020-05-02 |
16.4.2020 | 40235 | 1699 | 2649 | 199 | 2020-05-08 | 2020-05-06 |
17.4.2020 | 44088 | 2000 | 3177 | 281 | 2020-05-11 | 2020-05-09 |
18.4.2020 | 50884 | 2968 | 3816 | 387 | 2020-05-14 | 2020-05-13 |
19.4.2020 | 59028 | 4114 | 4401 | 455 | 2020-05-18 | 2020-05-15 |
20.4.2020 | 63648 | 4202 | 4258 | 321 | 2020-05-20 | 2020-05-15 |
21.4.2020 | 65854 | 3788 | 4058 | 224 | 2020-05-20 | 2020-05-14 |
22.4.2020 | 67400 | 3262 | 3984 | 170 | 2020-05-21 | 2020-05-13 |
23.4.2020 | 69584 | 2983 | 3994 | 138 | 2020-05-22 | 2020-05-13 |
24.4.2020 | 75994 | 3588 | 4531 | 220 | 2020-05-24 | 2020-05-17 |
25.4.2020 | 84694 | 4647 | 5443 | 394 | 2020-05-27 | 2020-05-21 |
26.4.2020 | 99236 | 7083 | 6672 | 643 | 2020-06-01 | 2020-05-26 |
27.4.2020 | 112796 | 8899 | 7497 | 738 | 2020-06-04 | 2020-05-29 |
28.4.2020 | 126387 | 10470 | 8222 | 780 | 2020-06-07 | 2020-05-31 |
29.4.2020 | 146358 | 13637 | 9618 | 1014 | 2020-06-11 | 2020-06-04 |
30.4.2020 | 175813 | 19506 | 11204 | 1277 | 2020-06-16 | 2020-06-07 |
1.5.2020 | 224159 | 2078 | 13215 | 1648 | 2020-06-22 | 2020-06-11 |
2.5.2020 | 257129 | 37852 | 14586 | 1747 | 2020-06-25 | 2020-06-13 |
3.5.2020 | 266966 | 34879 | 14805 | 1484 | 2020-06-26 | 2020-06-14 |
4.5.2020 | 257989 | 26495 | 14263 | 1148 | 2020-06-25 | 2020-06-13 |
5.5.2020 | 261136 | 23167 | 13695 | 898 | 2020-06-25 | 2020-06-12 |
6.5.2020 | 271524 | 22733 | 14028 | 809 | 2020-06-26 | 2020-06-12 |
7.5.2020 | 310050 | 28406 | 15045 | 857 | 2020-06-30 | 2020-06-14 |
8.5.2020 | 356391 | 35650 | 16328 | 952 | 2020-07-03 | 2020-06-17 |
9.5.2020 | 428322 | 50371 | 18764 | 1329 | 2020-07-08 | 2020-06-21 |
10.5.2020 | 489268 | 60071 | 21112 | 1629 | 2020-07-11 | 2020-06-24 |
11.5.2020 | 490952 | 51815 | 22314 | 1614 | 2020-07-11 | 2020-06-26 |
12.5.2020 | 464303 | 39644 | 22783 | 1449 | 2020-07-10 | 2020-06-26 |
13.5.2020 | 444910 | 31254 | 23970 | 1430 | 2020-07-09 | 2020-06-28 |
14.5.2020 | 456698 | 28995 | 25240 | 1401 | 2020-07-09 | 2020-06-29 |
15.5.2020 | 477021 | 28122 | 26757 | 1436 | 2020-07-10 | 2020-07-01 |
16.5.2020 | 546045 | 38057 | 29183 | 1660 | 2020-07-14 | 2020-07-03 |
17.5.2020 | 612494 | 46194 | 30697 | 1660 | 2020-07-18 | 2020-07-05 |
18.5.2020 | 617838 | 40861 | 30594 | 1424 | 2020-07-18 | 2020-07-05 |
19.5.2020 | 633782 | 37598 | 30590 | 1229 | 2020-07-19 | 2020-07-05 |
20.5.2020 | 673418 | 38808 | 32053 | 1258 | 2020-07-20 | 2020-07-06 |
21.5.2020 | 749652 | 47328 | 33350 | 1253 | 2020-07-23 | 2020-07-08 |
22.5.2020 | 841721 | 58514 | 35425 | 1382 | 2020-07-27 | 2020-07-10 |
23.5.2020 | NC | NC | 37590 | 1504 | NC | 2020-07-12 |
24.5.2020 | 1050930 | 83168 | 39634 | 1588 | 2020-08-02 | 2020-07-14 |
25.5.2020 | NC | NC | 40312 | 1463 | NC | 2020-07-15 |
26.5.2020 | NC | NC | 40528 | 1299 | NC | 2020-07-15 |
27.5.2020 | 1008180 | 53270 | 41167 | 1200 | 2020-08-01 | 2020-07-15 |
28.5.2020 | NC | NC | NC | NC | NC | NC |
29.5.2020 | NC | NC | 43418 | 1143 | NC | 2020-07-17 |
30.5.2020 | NC | NC | NC | NC | NC | NC |
31.5.2020 | NC | NC | 45965 | 1130 | NC | 2020-07-20 |
01.6.2020 | NC | NC | 46079 | 1023 | NC | 2020-07-20 |
02.6.2020 | 1283480 | 58676 | NC | NC | 2020-08-09 | NC |
03.6.2020 | 1294537 | 52504 | 46057 | 826 | 2020-08-09 | 2020-07-20 |
04.6.2020 | 1344433 | 52718 | 46991 | 817 | 2020-08-10 | 2020-07-21 |
05.6.2020 | 1395161 | 52038 | 48515 | 891 | 2020-08-12 | 2020-07-23 |
06.6.2020 | NC | NC | 48600 | 807 | NC | 2020-07-23 |
07.6.2020 | NC | NC | 50906 | 924 | NC | 2020-07-25 |
08.6.2020 | NC | NC | 51302 | 859 | NC | 2020-07-25 |
09.6.2020 | 1482790 | 41572 | 51471 | 791 | 2020-08-14 | 2020-07-26 |
10.6.2020 | NC | NC | 52016 | 752 | NC | 2020-07-26 |
11.6.2020 | 1497852 | 35166 | 52880 | 750 | 2020-08-14 | 2020-07-27 |
12.6.2020 | 1523899 | 33571 | 53987 | 777 | 2020-08-15 | 2020-07-28 |
13.6.2020 | 1537899 | 31001 | NC | NC | 2020-08-15 | NC |
14.6.2020 | 1534549 | 27552 | 55570 | 760 | 2020-08-15 | 2020-07-30 |
15.6.2020 | NC | NC | 56080 | 727 | NC | 2020-07-31 |
17.6.2020 | NC | NC | 57021 | 665 | NC | 2020-08-01 |
18.6.2020 | 1500841 | 18835 | 57729 | 669 | 2020-08-14 | 2020-08-02 |
19.6.2020 | NC | NC | 58675 | 696 | NC | 2020-08-03 |
20.6.2020 | 1555170 | 20846 | 59725 | 734 | 2020-08-16 | 2020-08-04 |
21.6.2020 | 1557467 | 19061 | NC | NC | 2020-08-16 | NC |
22.6.2020 | 1596534 | 20967 | NC | NC | 2020-08-18 | NC |
23.6.2020 | 1651550 | 23290 | 62200 | 753 | 2020-08-19 | 2020-08-07 |
24.6.2020 | 1680508 | 23447 | 63050 | 764 | 2020-08-20 | 2020-08-08 |
25.6.2020 | 1724954 | 25646 | 63994 | 786 | 2020-08-22 | 2020-08-09 |
26.6.2020 | NC | NC | 64995 | 814 | NC | 2020-08-10 |
27.6.2020 | 1838525 | 32814 | 65972 | 837 | 2020-08-26 | 2020-08-11 |
29.6.2020 | 1963265 | 39820 | 67871 | 871 | 2020-08-30 | 2020-08-14 |
30.6.2020 | 2000139 | 39057 | NC | NC | 2020-08-31 | NC |
01.7.2020 | NC | NC | 69289 | 858 | NC | 2020-08-16 |
02.7.2020 | 2087900 | 40155 | 70132 | 866 | 2020-09-03 | 2020-08-17 |
03.7.2020 | NC | NC | NC | NC | NC | NC |
04.7.2020 | NC | NC | NC | NC | NC | NC |
06.7.2020 | NC | NC | NC | NC | NC | NC |
07.7.2020 | NC | NC | 74875 | 958 | NC | 2020-08-23 |
08.7.2020 | NC | NC | NC | NC | NC | NC |
10.7.2020 | NC | NC | NC | NC | NC | NC |
11.7.2020 | NC | NC | 78802 | 1040 | NC | 2020-08-28 |
13.7.2020 | 2591278 | 45369 | NC | NC | 2020-09-17 | NC |
14.7.2020 | 2610717 | 43537 | 81783 | 1095 | 2020-09-18 | 2020-08-31 |
16.7.2020 | 2661985 | 40979 | NC | NC | 2020-09-19 | NC |
20.7.2020 | 2771700 | 37980 | NC | NC | 2020-09-23 | NC |
22.7.2020 | NC | NC | 89921 | 1241 | NC | 2020-09-11 |
24.7.2020 | NC | NC | 91812 | 1234 | NC | 2020-09-13 |
27.7.2020 | NC | NC | 95233 | 1323 | NC | 2020-09-18 |
30.7.2020 | 3160304 | 44106 | 98988 | 1440 | 2020-10-04 | 2020-09-23 |
05.8.2020 | NC | NC | NC | NC | NC | NC |
31.8.2020 | NC | NC | 129606 | 1647 | NC | 2020-11-03 |
Fecha | Casos totales | Desv. Estándar | Muertes totales | Desv. Estándar | Fecha de finalización - casos | Fecha de finalización - muertes |
---|---|---|---|---|---|---|
31.3.2020 | 4364 | 359 | 12 | $<$1 | 2020-04-12 | 2020-04-11 |
1.4.2020 | 4491 | 266 | NC | NC | 2020-04-17 | NC |
2.4.2020 | 4627 | 204 | NC | NC | 2020-04-17 | NC |
3.4.2020 | 5039 | 214 | 517 | 4987 | 2020-04-19 | 2020-05-06 |
4.4.2020 | 5392 | 208 | 84 | 58 | 2020-04-20 | 2020-04-25 |
5.4.2020 | 5962 | 254 | 61 | 29 | 2020-04-22 | 2020-04-21 |
6.4.2020 | 6272 | 233 | 191 | 136 | 2020-04-23 | 2020-05-01 |
7.4.2020 | 6545 | 211 | 84 | 18 | 2020-04-23 | 2020-04-25 |
8.4.2020 | 6722 | 181 | 80 | 10 | 2020-04-24 | 2020-04-24 |
9.4.2020 | 7094 | 194 | 78 | 6 | 2020-04-25 | 2020-04-24 |
10.4.2020 | 7554 | 233 | 96 | 11 | 2020-04-27 | 2020-04-27 |
11.4.2020 | 8231 | 298 | 117 | 14 | 2020-04-29 | 2020-04-29 |
12.4.2020 | 8860 | 342 | 128 | 10 | 2020-05-01 | 2020-05-01 |
13.4.2020 | 9203 | 322 | 132 | 8 | 2020-05-02 | 2020-05-01 |
14.4.2020 | 9428 | 289 | 118 | 7 | 2020-05-02 | 2020-04-29 |
15.4.2020 | 9699 | 269 | 123 | 6 | 2020-05-03 | 2020-04-30 |
16.4.2020 | 9961 | 253 | 120 | 3 | 2020-05-04 | 2020-04-29 |
17.4.2020 | 10403 | 272 | 127 | 4 | 2020-05-06 | 2020-05-01 |
18.4.2020 | 10875 | 295 | 142 | 6 | 2020-05-07 | 2020-05-03 |
19.4.2020 | 11399 | 324 | 164 | 11 | 2020-05-09 | 2020-05-07 |
20.4.2020 | 11839 | 334 | 171 | 9 | 2020-05-10 | 2020-05-08 |
21.4.2020 | 12274 | 341 | 177 | 8 | 2020-05-11 | 2020-05-09 |
22.4.2020 | 12608 | 331 | 184 | 7 | 2020-05-12 | 2020-05-10 |
23.4.2020 | 13010 | 335 | 198 | 9 | 2020-05-14 | 2020-05-12 |
24.4.2020 | 13507 | 357 | 208 | 8 | 2020-05-15 | 2020-05-13 |
25.4.2020 | 14080 | 390 | 215 | 8 | 2020-05-17 | 2020-05-14 |
26.4.2020 | 14683 | 426 | 220 | 7 | 2020-05-19 | 2020-05-15 |
27.4.2020 | 15283 | 458 | 228 | 7 | 2020-05-21 | 2020-05-16 |
28.4.2020 | 15884 | 486 | 235 | 7 | 2020-05-23 | 2020-05-18 |
29.4.2020 | 16535 | 521 | 243 | 7 | 2020-05-25 | 2020-05-19 |
30.4.2020 | 17199 | 554 | 251 | 7 | 2020-05-26 | 2020-05-20 |
1.5.2020 | 18370 | 695 | 262 | 7 | 2020-05-30 | 2020-05-22 |
2.5.2020 | 19928 | 913 | 271 | 7 | 2020-06-03 | 2020-05-23 |
3.5.2020 | 22443 | 1376 | 281 | 8 | 2020-06-09 | 2020-05-24 |
4.5.2020 | 25544 | 1969 | 298 | 10 | 2020-06-14 | 2020-05-27 |
5.5.2020 | 29562 | 2832 | 327 | 12 | 2020-06-21 | 2020-06-01 |
6.5.2020 | 37980 | 5483 | 341 | 12 | 2020-07-03 | 2020-06-04 |
7.5.2020 | 45580 | 7953 | 347 | 11 | 2020-07-10 | 2020-06-05 |
8.5.2020 | 56868 | 12460 | 349 | 10 | 2020-07-19 | 2020-06-05 |
9.5.2020 | 71595 | 19341 | 364 | 9 | 2020-07-27 | 2020-06-08 |
10.5.2020 | 87114 | 27028 | 370 | 9 | 2020-08-02 | 2020-06-09 |
11.5.2020 | 108740 | 39614 | 379 | 8 | 2020-08-09 | 2020-06-11 |
12.5.2020 | 123976 | 46826 | 387 | 8 | 2020-08-13 | 2020-06-12 |
13.5.2020 | 141842 | 55617 | 390 | 9 | 2020-08-17 | 2020-06-12 |
14.5.2020 | 331602 | 298755 | 379 | 9 | 2020-09-10 | 2020-06-08 |
15.5.2020 | 420416 | 451378 | 397 | 11 | 2020-09-14 | 2020-06-11 |
16.5.2020 | NC | NC | 437 | 16 | NC | 2020-06-17 |
17.5.2020 | NC | NC | 482 | 25 | NC | 2020-06-23 |
18.5.2020 | NC | NC | 550 | 40 | NC | 2020-07-01 |
19.5.2020 | NC | NC | 630 | 59 | NC | 2020-07-08 |
20.5.2020 | NC | NC | 1017 | 226 | NC | 2020-08-06 |
21.5.2020 | NC | NC | 1629 | 673 | NC | 2020-08-26 |
22.5.2020 | NC | NC | 2381 | 1475 | NC | 2020-09-07 |
23.5.2020 | NC | NC | 18087 | 94290 | NC | 2020-11-01 |
24.5.2020 | NC | NC | NC | NC | NC | NC |
25.5.2020 | NC | NC | NC | NC | NC | NC |
26.5.2020 | NC | NC | NC | NC | NC | NC |
27.5.2020 | NC | NC | NC | NC | NC | NC |
28.5.2020 | NC | NC | NC | NC | NC | NC |
29.5.2020 | NC | NC | NC | NC | NC | NC |
30.5.2020 | NC | NC | NC | NC | NC | NC |
31.5.2020 | NC | NC | NC | NC | NC | NC |
01.6.2020 | NC | NC | NC | NC | NC | NC |
02.6.2020 | 3879344 | 5972494 | NC | NC | 2020-10-18 | NC |
03.6.2020 | 1155955 | 484863 | NC | NC | 2020-09-24 | NC |
04.6.2020 | 832557 | 241194 | NC | NC | 2020-09-17 | NC |
05.6.2020 | 578958 | 99777 | NC | NC | 2020-09-07 | NC |
06.6.2020 | 474583 | 60992 | NC | NC | 2020-09-01 | NC |
07.6.2020 | 419959 | 42938 | NC | NC | 2020-08-29 | NC |
08.6.2020 | 397483 | 34170 | NC | NC | 2020-08-27 | NC |
09.6.2020 | 374214 | 26589 | NC | NC | 2020-08-25 | NC |
10.6.2020 | 351376 | 21500 | NC | NC | 2020-08-23 | NC |
11.6.2020 | 338042 | 17929 | NC | NC | 2020-08-21 | NC |
12.6.2020 | 330654 | 15610 | NC | NC | 2020-08-20 | NC |
13.6.2020 | 329851 | 13924 | NC | NC | 2020-08-20 | NC |
14.6.2020 | 332478 | 12763 | NC | NC | 2020-08-21 | NC |
15.6.2020 | 338650 | 12147 | NC | NC | 2020-08-21 | NC |
17.6.2020 | 341358 | 10314 | NC | NC | 2020-08-22 | NC |
18.6.2020 | NC | NC | NC | NC | NC | NC |
19.6.2020 | 562808 | 67803 | NC | NC | 2020-09-12 | NC |
20.6.2020 | 666501 | 90364 | 144316 | 554185 | 2020-09-18 | 2020-10-15 |
21.6.2020 | NC | NC | 36110 | 29047 | NC | 2020-09-21 |
22.6.2020 | 725274 | 97450 | 21863 | 8966 | 2020-09-22 | 2020-09-10 |
23.6.2020 | 683717 | 77428 | 14132 | 3242 | 2020-09-19 | 2020-08-29 |
24.6.2020 | 627274 | 58229 | 10517 | 1551 | 2020-09-16 | 2020-08-20 |
25.6.2020 | 573476 | 44680 | 9267 | 1034 | 2020-09-12 | 2020-08-16 |
26.6.2020 | 531523 | 35142 | 8607 | 770 | 2020-09-09 | 2020-08-13 |
27.6.2020 | 498498 | 27847 | 8221 | 611 | 2020-09-05 | 2020-08-11 |
29.6.2020 | 451658 | 19720 | 8066 | 477 | 2020-08-31 | 2020-08-10 |
30.6.2020 | 435228 | 16418 | 8005 | 409 | 2020-08-29 | 2020-08-10 |
01.7.2020 | 421179 | 14264 | 7881 | 351 | 2020-08-27 | 2020-08-09 |
02.7.2020 | 408826 | 12518 | 7729 | 301 | 2020-08-25 | 2020-08-08 |
03.7.2020 | 398093 | 11089 | 7665 | 265 | 2020-08-24 | 2020-08-08 |
04.7.2020 | 389590 | 9908 | 7632 | 236 | 2020-08-22 | 2020-08-07 |
06.7.2020 | NC | NC | 7634 | 195 | NC | 2020-08-07 |
07.7.2020 | 373401 | 7364 | 7624 | 177 | 2020-08-19 | 2020-08-07 |
08.7.2020 | 369567 | 6740 | 7596 | 160 | 2020-08-18 | 2020-08-07 |
10.7.2020 | NC | NC | 7614 | 136 | NC | 2020-08-07 |
11.7.2020 | 361233 | 5297 | 7635 | 126 | 2020-08-17 | 2020-08-07 |
13.7.2020 | NC | NC | 7691 | 111 | NC | 2020-08-08 |
14.7.2020 | NC | NC | 7700 | 105 | NC | 2020-08-08 |
16.7.2020 | NC | NC | 7736 | 92 | NC | 2020-08-08 |
20.7.2020 | NC | NC | 8579 | 164 | NC | 2020-08-17 |
22.7.2020 | 353921 | 2847 | 8987 | 183 | 2020-08-15 | 2020-08-22 |
24.7.2020 | 354651 | 2543 | 9359 | 173 | 2020-08-15 | 2020-08-25 |
27.7.2020 | 348494 | 1331 | 9740 | 177 | 2020-08-14 | 2020-08-29 |
30.7.2020 | NC | NC | 9988 | 226 | NC | 2020-09-01 |
05.8.2020 | 358520 | 1423 | 10295 | 145 | 2020-08-18 | 2020-09-04 |
31.8.2020 | 389003 | 2121 | 11119 | 90 | 2020-09-01 | 2020-09-15 |
Fecha | Casos totales | Desv. Estándar | Muertes totales | Desv. Estándar | Fecha de finalización - casos | Fecha de finalización - muertes |
---|---|---|---|---|---|---|
31.3.2020 | 1042 | 92 | NC | NC | 2020-04-12 | 2020-07-06 |
1.4.2020 | 1263 | 132 | NC | NC | 2020-04-15 | NC |
2.4.2020 | 1744 | 284 | 74 | 134 | 2020-04-21 | 2020-04-25 |
3.4.2020 | 1983 | 291 | 36 | 13 | 2020-04-23 | 2020-04-18 |
4.4.2020 | 2082 | 240 | 76 | 58 | 2020-04-24 | 2020-04-26 |
5.4.2020 | 2260 | 225 | NC | NC | 2020-04-25 | NC |
6.4.2020 | 2237 | 163 | 139 | 102 | 2020-04-25 | 2020-05-01 |
7.4.2020 | 6545 | 211 | NC | NC | 2020-04-23 | NC |
8.4.2020 | 2452 | 143 | 180 | 88 | 2020-04-27 | 2020-05-03 |
9.4.2020 | 3086 | 304 | 107 | 20 | 2020-05-02 | 2020-04-27 |
10.4.2020 | 3678 | 415 | 178 | 66 | 2020-05-05 | 2020-05-03 |
11.4.2020 | 4532 | 610 | 262 | 111 | 2020-05-10 | 2020-05-08 |
12.4.2020 | 5407 | 783 | NC | NC | 2020-05-13 | NC |
13.4.2020 | 5078 | 534 | 468 | 201 | 2020-05-12 | 2020-05-13 |
14.4.2020 | 4608 | 351 | 228 | 43 | 2020-05-10 | 2020-05-05 |
15.4.2020 | 4368 | 254 | 216 | 27 | 2020-05-08 | 2020-05-04 |
16.4.2020 | 4243 | 195 | 192 | 14 | 2020-05-08 | 2020-05-02 |
17.4.2020 | 4189 | 156 | 193 | 10 | 2020-05-07 | 2020-05-02 |
18.4.2020 | 4263 | 139 | 195 | 9 | 2020-05-08 | 2020-05-02 |
19.4.2020 | 4206 | 114 | 186 | 7 | 2020-05-07 | 2020-05-01 |
20.4.2020 | 4391 | 124 | 205 | 9 | 2020-05-09 | 2020-05-04 |
21.4.2020 | 4595 | 136 | 221 | 9 | 2020-05-11 | 2020-05-06 |
22.4.2020 | 4792 | 144 | 231 | 9 | 2020-05-12 | 2020-05-07 |
23.4.2020 | 5028 | 159 | 240 | 9 | 2020-05-14 | 2020-05-08 |
24.4.2020 | 5295 | 178 | 248 | 8 | 2020-05-16 | 2020-05-09 |
25.4.2020 | 5697 | 226 | 256 | 7 | 2020-05-19 | 2020-05-10 |
26.4.2020 | 6141 | 277 | 263 | 7 | 2020-05-22 | 2020-05-11 |
27.4.2020 | 6598 | 325 | 271 | 7 | 2020-05-25 | 2020-05-12 |
28.4.2020 | 7029 | 361 | 279 | 7 | 2020-05-28 | 2020-05-13 |
29.4.2020 | 7605 | 428 | 292 | 8 | 2020-05-31 | 2020-05-15 |
30.4.2020 | 8171 | 485 | 303 | 8 | 2020-06-04 | 2020-05-16 |
1.5.2020 | 8774 | 545 | 317 | 9 | 2020-06-07 | 2020-05-18 |
2.5.2020 | 9746 | 699 | 339 | 11 | 2020-06-11 | 2020-05-21 |
3.5.2020 | 10647 | 819 | 357 | 13 | 2020-06-15 | 2020-05-23 |
4.5.2020 | 11489 | 910 | 379 | 15 | 2020-06-18 | 2020-05-26 |
5.5.2020 | 12360 | 999 | 415 | 21 | 2020-06-21 | 2020-05-30 |
6.5.2020 | 14979 | 1590 | 458 | 28 | 2020-06-30 | 2020-06-04 |
7.5.2020 | 16607 | 1874 | 498 | 33 | 2020-07-04 | 2020-06-08 |
8.5.2020 | 18553 | 2245 | 528 | 36 | 2020-07-08 | 2020-06-11 |
9.5.2020 | 21265 | 2875 | 601 | 48 | 2020-07-13 | 2020-06-18 |
10.5.2020 | 23725 | 3369 | 639 | 51 | 2020-07-17 | 2020-06-21 |
11.5.2020 | 26574 | 3971 | 697 | 58 | 2020-07-21 | 2020-06-26 |
12.5.2020 | 29464 | 4536 | 728 | 59 | 2020-07-25 | 2020-06-28 |
13.5.2020 | 33150 | 5370 | 729 | 52 | 2020-07-29 | 2020-06-28 |
14.5.2020 | 46006 | 9564 | 660 | 34 | 2020-08-11 | 2020-06-20 |
15.5.2020 | 42047 | 7468 | 679 | 34 | 2020-08-06 | 2020-06-21 |
16.5.2020 | 48998 | 9142 | 732 | 39 | 2020-08-12 | 2020-06-26 |
17.5.2020 | 53027 | 6707 | 753 | 38 | 2020-08-14 | 2020-06-28 |
18.5.2020 | 55179 | 9403 | 767 | 36 | 2020-08-16 | 2020-06-29 |
19.5.2020 | 56937 | 8947 | 767 | 33 | 2020-08-17 | 2020-06-28 |
20.5.2020 | 54043 | 7311 | 847 | 37 | 2020-08-14 | 2020-07-06 |
21.5.2020 | 54495 | 6627 | 865 | 35 | 2020-08-15 | 2020-07-07 |
22.5.2020 | 53739 | 5721 | 844 | 33 | 2020-08-14 | 2020-07-04 |
23.5.2020 | 53645 | 5082 | 877 | 35 | 2020-08-14 | 2020-07-06 |
24.5.2020 | 55791 | 4996 | 929 | 38 | 2020-08-15 | 2020-07-10 |
25.5.2020 | 55482 | 4710 | 967 | 40 | 2020-08-15 | 2020-07-13 |
26.5.2020 | 62534 | 5068 | 988 | 41 | 2020-08-20 | 2020-07-13 |
27.5.2020 | 71644 | 5389 | 1005 | 42 | 2020-08-26 | 2020-07-14 |
28.5.2020 | NC | NC | 1037 | 43 | NC | 2020-07-15 |
29.5.2020 | 68690 | 402 | 1087 | 47 | 2020-08-24 | 2020-07-18 |
30.5.2020 | 67481 | 3715 | 1191 | 57 | 2020-08-24 | 2020-07-25 |
31.5.2020 | 69301 | 3583 | 1192 | 55 | 2020-08-25 | 2020-07-24 |
01.6.2020 | 67467 | 3065 | 1316 | 68 | 2020-08-24 | 2020-08-01 |
02.6.2020 | 70313 | 3697 | 1393 | 77 | 2020-08-25 | 2020-08-04 |
03.6.2020 | 74116 | 4214 | 1518 | 97 | 2020-08-27 | 2020-08-09 |
04.6.2020 | 90611 | 5409 | 1603 | 111 | 2020-09-05 | 2020-08-12 |
05.6.2020 | 87347 | 5689 | 1780 | 142 | 2020-09-02 | 2020-08-18 |
06.6.2020 | 113197 | 12477 | 2148 | 239 | 2020-09-12 | 2020-08-29 |
07.6.2020 | 121962 | 13489 | 2422 | 304 | 2020-09-15 | 2020-09-04 |
08.6.2020 | 128261 | 13720 | 2802 | 410 | 2020-09-17 | 2020-09-12 |
09.6.2020 | 145057 | 17386 | 4253 | 1067 | 2020-09-21 | 2020-10-03 |
10.6.2020 | 144430 | 1550 | 4996 | 1410 | 2020-09-21 | 2020-10-10 |
11.6.2020 | 141793 | 13467 | 8510 | 4035 | 2020-09-21 | 2020-11-03 |
12.6.2020 | 139872 | 11792 | 37398 | 75270 | 2020-09-21 | 2020-12-24 |
13.6.2020 | 136260 | 10121 | 8860 | 3851 | 2020-09-20 | 2020-11-01 |
14.6.2020 | NC | NC | 21224 | 20967 | NC | 2020-12-03 |
15.6.2020 | 136703 | 8375 | 88211 | 327045 | 2020-09-20 | 2021-01-16 |
17.6.2020 | 164302 | 12202 | NC | NC | 2020-09-28 | NC |
18.6.2020 | 159635 | 10405 | NC | NC | 2020-09-26 | NC |
19.6.2020 | 161940 | 9797 | NC | NC | 2020-09-27 | NC |
20.6.2020 | 175096 | 11045 | NC | NC | 2020-09-30 | NC |
21.6.2020 | 193404 | 13582 | NC | NC | 2020-10-05 | NC |
22.6.2020 | 305191 | 55590 | NC | NC | 2020-10-24 | NC |
23.6.2020 | 432949 | 117744 | NC | NC | 2020-11-06 | NC |
24.6.2020 | 538382 | 169195 | NC | NC | 2020-11-13 | NC |
25.6.2020 | 467154 | 118688 | NC | NC | 2020-11-08 | NC |
26.6.2020 | 446885 | 97850 | NC | NC | 2020-11-07 | NC |
27.6.2020 | 415602 | 89005 | NC | NC | 2020-11-04 | NC |
29.6.2020 | 784693 | 271631 | NC | NC | 2020-11-25 | NC |
30.6.2020 | 655000 | 151944 | NC | NC | 2020-11-19 | NC |
01.7.2020 | 636789 | 130504 | NC | NC | 2020-11-18 | NC |
02.7.2020 | 585904 | 100467 | NC | NC | 2020-11-15 | NC |
03.7.2020 | 570164 | 86567 | NC | NC | 2020-11-14 | NC |
04.7.2020 | 568140 | 78383 | NC | NC | 2020-11-14 | NC |
06.7.2020 | 534647 | 57651 | NC | NC | 2020-11-12 | NC |
07.7.2020 | 516021 | 49033 | NC | NC | 2020-11-10 | NC |
08.7.2020 | 481868 | 39501 | NC | NC | 2020-11-08 | NC |
10.7.2020 | 446245 | 28559 | NC | NC | 2020-11-05 | NC |
11.7.2020 | 446912 | 26263 | NC | NC | 2020-11-05 | NC |
13.7.2020 | 490935 | 28433 | NC | NC | 2020-11-09 | NC |
14.7.2020 | 511710 | 29520 | NC | NC | 2020-11-11 | NC |
16.7.2020 | 522145 | 26108 | 105637 | 51864 | 2020-11-11 | 2021-01-08 |
20.7.2020 | 840405 | 67752 | 41565 | 5660 | 2020-11-30 | 2020-12-11 |
22.7.2020 | 1003785 | 90207 | 35358 | 3491 | 2020-12-07 | 2020-12-05 |
24.7.2020 | NC | NC | 30783 | 2157 | NC | 2020-11-29 |
27.7.2020 | 1012498 | 70729 | 29038 | 1609 | 2020-12-07 | 2020-11-27 |
30.7.2020 | 1091072 | 61934 | 29096 | 1493 | 2020-12-10 | 2020-11-26 |
05.8.2020 | NC | NC | 35243 | 1179 | NC | 2020-12-06 |
31.8.2020 | 996959 | 9528 | 28163 | 183 | 2020-12-01 | 2020-11-22 |
Nota: cuando el proceso de ajuste no converge a una solución, o la desviación estándar es de mayor magnitud que el valor ajustado, se denota NC
Fecha | Casos totales | Desv. Estándar | Muertes totales | Desv. Estándar | Fecha de finalización - casos | Fecha de finalización - muertes |
---|---|---|---|---|---|---|
31.3.2020 | 138677 | 5737 | 11712 | 278 | 2020-04-17 | 2020-04-13 |
1.4.2020 | 140095 | 4353 | 11878 | 201 | 2020-04-17 | 2020-04-13 |
2.4.2020 | 144116 | 3647 | 12516 | 227 | 2020-04-18 | 2020-04-14 |
3.4.2020 | 148905 | 3250 | 13398 | 300 | 2020-04-18 | 2020-04-15 |
4.4.2020 | 152846 | 2868 | 14141 | 319 | 2020-04-19 | 2020-04-16 |
5.4.2020 | 156572 | 2581 | 14668 | 298 | 2020-04-19 | 2020-04-17 |
6.4.2020 | 158690 | 2205 | 15069 | 269 | 2020-04-20 | 2020-04-17 |
7.4.2020 | 160114 | 1869 | 15467 | 250 | 2020-04-20 | 2020-04-18 |
8.4.2020 | 161873 | 1692 | 15897 | 246 | 2020-04-20 | 2020-04-19 |
9.4.2020 | 164748 | 1682 | 16402 | 260 | 2020-04-21 | 2020-04-20 |
10.4.2020 | 168001 | 1768 | 16887 | 271 | 2020-04-22 | 2020-04-20 |
11.4.2020 | 170883 | 1815 | 17358 | 279 | 2020-04-22 | 2020-04-21 |
12.4.2020 | 173769 | 1871 | 17760 | 277 | 2020-04-23 | 2020-04-22 |
13.4.2020 | 176271 | 1866 | 18175 | 280 | 2020-04-23 | 2020-04-23 |
14.4.2020 | 178369 | 1815 | 18576 | 283 | 2020-04-24 | 2020-04-24 |
15.4.2020 | 179955 | 1716 | 18859 | 270 | 2020-04-24 | 2020-04-24 |
16.4.2020 | 182206 | 1748 | 19223 | 274 | 2020-04-25 | 2020-04-25 |
17.4.2020 | 185670 | 2032 | 19626 | 286 | 2020-04-26 | 2020-04-26 |
18.4.2020 | 189626 | 2368 | 20092 | 309 | 2020-04-27 | 2020-04-27 |
19.4.2020 | 192462 | 2426 | 20380 | 301 | 2020-04-27 | 2020-04-27 |
20.4.2020 | 196180 | 2652 | 20663 | 295 | 2020-04-28 | 2020-04-28 |
21.4.2020 | 199128 | 2711 | 20940 | 290 | 2020-04-29 | 2020-04-29 |
22.4.2020 | 202109 | 2778 | 21224 | 289 | 2020-04-30 | 2020-04-29 |
23.4.2020 | 205186 | 2863 | 21525 | 293 | 2020-05-01 | 2020-04-30 |
24.4.2020 | 208452 | 2979 | 21854 | 303 | 2020-05-02 | 2020-05-01 |
25.4.2020 | 212371 | 3206 | 22148 | 307 | 2020-05-03 | 2020-05-02 |
26.4.2020 | 216242 | 3400 | 22439 | 310 | 2020-05-04 | 2020-05-02 |
27.4.2020 | 219624 | 3487 | 22709 | 311 | 2020-05-05 | 2020-05-03 |
28.4.2020 | 223153 | 3607 | 22973 | 312 | 2020-05-06 | 2020-05-04 |
29.4.2020 | 225835 | 3570 | 23226 | 312 | 2020-05-07 | 2020-05-05 |
30.4.2020 | 229309 | 3687 | 23499 | 316 | 2020-05-08 | 2020-05-05 |
1.5.2020 | 212484 | 1966 | 23756 | 319 | 2020-05-03 | 2020-05-06 |
2.5.2020 | 212596 | 1824 | 23958 | 314 | 2020-05-03 | 2020-05-07 |
3.5.2020 | 213622 | 1804 | 24200 | 315 | 2020-05-04 | 2020-05-08 |
4.5.2020 | 214266 | 1742 | 24419 | 315 | 2020-05-04 | 2020-05-08 |
5.5.2020 | 214840 | 1682 | 24640 | 314 | 2020-05-04 | 2020-05-09 |
6.5.2020 | 215434 | 1631 | 24825 | 310 | 2020-05-04 | 2020-05-10 |
7.5.2020 | 216016 | 1585 | 25007 | 307 | 2020-05-05 | 2020-05-10 |
8.5.2020 | 216855 | 1543 | 25183 | 304 | 2020-05-05 | 2020-05-11 |
9.5.2020 | 217126 | 1508 | 25356 | 301 | 2020-05-05 | 2020-05-11 |
10.5.2020 | 217711 | 1478 | 25521 | 298 | 2020-05-05 | 2020-05-12 |
11.5.2020 | 218385 | 1452 | 25675 | 294 | 2020-05-05 | 2020-05-12 |
12.5.2020 | 219089 | 1443 | 25817 | 290 | 2020-05-06 | 2020-05-13 |
13.5.2020 | 219833 | 1436 | 25956 | 286 | 2020-05-06 | 2020-05-13 |
14.5.2020 | 220692 | 1421 | 26091 | 282 | 2020-05-07 | 2020-05-14 |
15.5.2020 | 221305 | 1410 | 26228 | 279 | 2020-05-07 | 2020-05-14 |
16.5.2020 | 221894 | 1399 | 26359 | 276 | 2020-05-07 | 2020-05-15 |
17.5.2020 | 222452 | 1387 | 26482 | 273 | 2020-05-07 | 2020-05-15 |
18.5.2020 | 222956 | 1371 | 26589 | 268 | 2020-05-08 | 2020-05-16 |
19.5.2020 | 223460 | 1358 | 26694 | 264 | 2020-05-08 | 2020-05-16 |
20.5.2020 | 223731 | 1349 | 26791 | 260 | 2020-05-08 | 2020-05-17 |
21.5.2020 | 224405 | 1330 | 26885 | 256 | 2020-05-08 | 2020-05-17 |
22.5.2020 | 224853 | 1317 | 26972 | 251 | 2020-05-09 | 2020-05-17 |
23.5.2020 | 225348 | 1311 | 27096 | 251 | 2020-05-09 | 2020-05-18 |
24.5.2020 | 225553 | 1308 | 27212 | 250 | 2020-05-09 | 2020-05-18 |
25.5.2020 | 226017 | 1301 | 27321 | 249 | 2020-05-09 | 2020-05-19 |
26.5.2020 | 226502 | 1291 | 27299 | 241 | 2020-05-09 | 2020-05-19 |
27.5.2020 | 227116 | 1277 | 27294 | 233 | 2020-05-10 | 2020-05-19 |
28.5.2020 | 227502 | 1266 | 27290 | 225 | 2020-05-10 | 2020-05-19 |
29.5.2020 | 227927 | 1261 | 27269 | 218 | 2020-05-10 | 2020-05-18 |
30.5.2020 | 228090 | 1261 | 27266 | 212 | 2020-05-10 | 2020-05-18 |
31.5.2020 | 228510 | 1257 | 27262 | 206 | 2020-05-10 | 2020-05-18 |
01.6.2020 | 228914 | 1252 | 27273 | 200 | 2020-05-10 | 2020-05-19 |
02.6.2020 | 229298 | 1247 | 27255 | 195 | 2020-05-10 | 2020-05-18 |
03.6.2020 | 229669 | 1240 | 27252 | 190 | 2020-05-11 | 2020-05-18 |
04.6.2020 | 230031 | 1234 | 27248 | 185 | 2020-05-11 | 2020-05-18 |
05.6.2020 | 230383 | 1228 | 27245 | 180 | 2020-05-11 | 2020-05-18 |
06.6.2020 | 230726 | 1221 | 27267 | 175 | 2020-05-11 | 2020-05-19 |
07.6.2020 | 231060 | 1215 | 27263 | 171 | 2020-05-11 | 2020-05-19 |
08.6.2020 | 231383 | 1208 | 27259 | 167 | 2020-05-12 | 2020-05-19 |
09.6.2020 | 231693 | 1201 | 27256 | 163 | 2020-05-12 | 2020-05-19 |
10.6.2020 | 231995 | 1194 | 27253 | 160 | 2020-05-12 | 2020-05-19 |
11.6.2020 | 232291 | 1186 | 27249 | 156 | 2020-05-12 | 2020-05-19 |
12.6.2020 | 232583 | 1180 | 27246 | 153 | 2020-05-12 | 2020-05-19 |
13.6.2020 | 233114 | 1168 | 27243 | 150 | 2020-05-13 | 2020-05-19 |
14.6.2020 | 233401 | 1162 | 27240 | 147 | 2020-05-13 | 2020-05-19 |
15.6.2020 | 233683 | 1156 | 27238 | 144 | 2020-05-13 | 2020-05-19 |
17.6.2020 | 234224 | 1144 | 27233 | 139 | 2020-05-14 | 2020-05-19 |
18.6.2020 | 234488 | 1138 | 27230 | 136 | 2020-05-14 | 2020-05-19 |
19.6.2020 | 234754 | 1133 | 27228 | 134 | 2020-05-14 | 2020-05-19 |
20.6.2020 | 235016 | 1128 | 27279 | 131 | 2020-05-14 | 2020-05-19 |
21.6.2020 | 235276 | 1124 | 27306 | 130 | 2020-05-14 | 2020-05-19 |
22.6.2020 | 235533 | 1119 | 27331 | 129 | 2020-05-14 | 2020-05-19 |
23.6.2020 | 235785 | 1115 | 27356 | 127 | 2020-05-14 | 2020-05-20 |
24.6.2020 | 236032 | 1110 | 27379 | 126 | 2020-05-15 | 2020-05-20 |
25.6.2020 | 236276 | 1106 | 27402 | 125 | 2020-05-15 | 2020-05-20 |
26.6.2020 | 236520 | 1102 | 27423 | 124 | 2020-05-15 | 2020-05-20 |
27.6.2020 | 236764 | 1099 | 27444 | 123 | 2020-05-15 | 2020-05-20 |
29.6.2020 | 237253 | 1093 | 27483 | 121 | 2020-05-15 | 2020-05-20 |
30.6.2020 | 237491 | 1090 | 27502 | 120 | 2020-05-16 | 2020-05-20 |
01.7.2020 | 237727 | 1087 | 27520 | 119 | 2020-05-16 | 2020-05-20 |
02.7.2020 | 237962 | 1084 | 27537 | 117 | 2020-05-16 | 2020-05-20 |
03.7.2020 | 238198 | 1082 | 27554 | 116 | 2020-05-16 | 2020-05-21 |
04.7.2020 | 238434 | 1080 | 27571 | 115 | 2020-05-16 | 2020-05-21 |
06.7.2020 | 238882 | 1074 | 27602 | 113 | 2020-05-16 | 2020-05-21 |
07.7.2020 | 239118 | 1073 | 27617 | 112 | 2020-05-17 | 2020-05-21 |
08.7.2020 | 239353 | 1072 | 27631 | 111 | 2020-05-17 | 2020-05-21 |
10.7.2020 | 239823 | 1071 | 27659 | 109 | 2020-05-17 | 2020-05-21 |
11.7.2020 | 240066 | 1071 | 27672 | 108 | 2020-05-17 | 2020-05-21 |
13.7.2020 | 240532 | 1071 | 27697 | 106 | 2020-05-18 | 2020-05-21 |
14.7.2020 | 240788 | 1074 | 27709 | 105 | 2020-05-18 | 2020-05-21 |
16.7.2020 | 241315 | 1081 | 27732 | 103 | 2020-05-18 | 2020-05-21 |
20.7.2020 | 242460 | 1106 | 27774 | 100 | 2020-05-19 | 2020-05-22 |
22.7.2020 | 243159 | 1137 | 27794 | 98 | 2020-05-19 | 2020-05-22 |
24.7.2020 | 243924 | 1175 | 27812 | 96 | 2020-05-20 | 2020-05-22 |
27.7.2020 | 245160 | 1242 | 27838 | 94 | 2020-05-21 | 2020-05-22 |
30.7.2020 | 246669 | 1348 | 27863 | 92 | 2020-05-22 | 2020-05-22 |
05.8.2020 | 250356 | 1634 | 27907 | 88 | 2020-05-25 | 2020-05-22 |
31.8.2020 | 421082 | 37320 | 28110 | 76 | 2021-02-26 | 2020-05-24 |
Fecha | Casos totales | Desv. Estándar | Muertes totales | Desv. Estándar | Fecha de finalización - casos | Fecha de finalización - muertes |
---|---|---|---|---|---|---|
31.3.2020 | 128861 | 2046 | 16047 | 448 | 2020-04-17 | 2020-04-18 |
1.4.2020 | 129861 | 1731 | 16743 | 432 | 2020-04-18 | 2020-04-19 |
2.4.2020 | 131674 | 1564 | 17247 | 393 | 2020-04-18 | 2020-04-20 |
3.4.2020 | 133964 | 1503 | 17739 | 364 | 2020-04-18 | 2020-04-20 |
4.4.2020 | 136568 | 1516 | 18253 | 347 | 2020-04-19 | 2020-04-21 |
5.4.2020 | 139602 | 1609 | 18690 | 326 | 2020-04-20 | 2020-04-22 |
6.4.2020 | 142634 | 1694 | 18946 | 288 | 2020-04-21 | 2020-04-22 |
7.4.2020 | 145280 | 1713 | 19241 | 265 | 2020-04-21 | 2020-04-23 |
8.4.2020 | 147451 | 1688 | 19550 | 249 | 2020-04-22 | 2020-04-23 |
9.4.2020 | 149731 | 1683 | 19840 | 237 | 2020-04-23 | 2020-04-24 |
10.4.2020 | 152573 | 1827 | 20175 | 234 | 2020-04-24 | 2020-04-24 |
11.4.2020 | 155289 | 1906 | 20524 | 237 | 2020-04-24 | 2020-04-25 |
12.4.2020 | 158430 | 2058 | 20915 | 247 | 2020-04-25 | 2020-04-26 |
13.4.2020 | 161670 | 2209 | 21248 | 248 | 2020-04-26 | 2020-04-26 |
14.4.2020 | 164649 | 2299 | 21609 | 255 | 2020-04-27 | 2020-04-27 |
15.4.2020 | 167376 | 2344 | 22007 | 268 | 2020-04-28 | 2020-04-28 |
16.4.2020 | 169825 | 2349 | 22426 | 284 | 2020-04-29 | 2020-04-29 |
17.4.2020 | 172427 | 2386 | 22843 | 298 | 2020-04-30 | 2020-04-30 |
18.4.2020 | 175071 | 2434 | 23280 | 315 | 2020-05-01 | 2020-05-01 |
19.4.2020 | 177758 | 2490 | 23701 | 328 | 2020-05-02 | 2020-05-02 |
20.4.2020 | 180367 | 2535 | 24096 | 336 | 2020-05-03 | 2020-05-03 |
21.4.2020 | 182717 | 2544 | 24479 | 342 | 2020-05-03 | 2020-05-03 |
22.4.2020 | 184983 | 2547 | 24876 | 351 | 2020-05-04 | 2020-05-04 |
23.4.2020 | 187338 | 2570 | 25271 | 361 | 2020-05-05 | 2020-05-05 |
24.4.2020 | 189751 | 2608 | 25684 | 375 | 2020-05-06 | 2020-05-06 |
25.4.2020 | 192045 | 2629 | 26054 | 308 | 2020-05-07 | 2020-05-07 |
26.4.2020 | 194223 | 2639 | 26412 | 384 | 2020-05-08 | 2020-05-08 |
27.4.2020 | 196155 | 2617 | 26727 | 383 | 2020-05-08 | 2020-05-09 |
28.4.2020 | 198189 | 2620 | 27023 | 380 | 2020-05-09 | 2020-05-10 |
29.4.2020 | 199615 | 2536 | 27315 | 377 | 2020-05-10 | 2020-05-11 |
30.4.2020 | 201571 | 2553 | 27592 | 374 | 2020-05-11 | 2020-05-11 |
1.5.2020 | 203521 | 2562 | 27852 | 370 | 2020-05-12 | 2020-05-12 |
2.5.2020 | 204566 | 2459 | 28094 | 364 | 2020-05-12 | 2020-05-13 |
3.5.2020 | 206629 | 2501 | 28358 | 363 | 2020-05-13 | 2020-05-14 |
4.5.2020 | 208038 | 2464 | 28591 | 359 | 2020-05-13 | 2020-05-14 |
5.5.2020 | 209326 | 2420 | 28850 | 357 | 2020-05-14 | 2020-05-15 |
6.5.2020 | 210496 | 2370 | 29049 | 351 | 2020-05-15 | 2020-05-16 |
7.5.2020 | 211616 | 2321 | 29258 | 346 | 2020-05-15 | 2020-05-16 |
8.5.2020 | 212872 | 2286 | 29463 | 342 | 2020-05-16 | 2020-05-17 |
9.5.2020 | 213575 | 2218 | 29661 | 339 | 2020-05-16 | 2020-05-18 |
10.5.2020 | 214546 | 2173 | 29847 | 334 | 2020-05-16 | 2020-05-18 |
11.5.2020 | 215435 | 2126 | 30018 | 329 | 2020-05-17 | 2020-05-19 |
12.5.2020 | 216250 | 2078 | 30180 | 323 | 2020-05-17 | 2020-05-19 |
13.5.2020 | 217205 | 2043 | 30332 | 318 | 2020-05-18 | 2020-05-20 |
14.5.2020 | 218133 | 2006 | 30480 | 312 | 2020-05-18 | 2020-05-20 |
15.5.2020 | 219051 | 1967 | 30631 | 308 | 2020-05-19 | 2020-05-21 |
16.5.2020 | 219744 | 1925 | 30784 | 304 | 2020-05-19 | 020-05-21 |
17.5.2020 | 220410 | 1885 | 30928 | 300 | 2020-05-20 | 2020-05-22 |
18.5.2020 | 221038 | 1845 | 31065 | 296 | 2020-05-20 | 2020-05-22 |
19.5.2020 | 221615 | 1805 | 31192 | 292 | 2020-05-20 | 2020-05-23 |
20.5.2020 | 221876 | 1765 | 31315 | 288 | 2020-05-20 | 2020-05-23 |
21.5.2020 | 222712 | 1731 | 31435 | 283 | 2020-05-21 | 2020-05-24 |
22.5.2020 | 223285 | 1681 | 31556 | 279 | 2020-05-21 | 2020-05-24 |
23.5.2020 | 223780 | 1648 | 31669 | 275 | 2020-05-22 | 2020-05-25 |
24.5.2020 | 223872 | 1617 | 31777 | 271 | 2020-05-21 | 2020-05-25 |
25.5.2020 | 224340 | 1588 | 31875 | 267 | 2020-05-22 | 2020-05-25 |
26.5.2020 | 224882 | 1560 | 31969 | 262 | 2020-05-22 | 2020-05-26 |
27.5.2020 | 225553 | 1526 | 32057 | 258 | 2020-05-23 | 2020-05-26 |
28.5.2020 | 225950 | 1498 | 32143 | 254 | 2020-05-23 | 2020-05-26 |
29.5.2020 | 226339 | 1472 | 32189 | 250 | 2020-05-23 | 2020-05-26 |
30.5.2020 | 226374 | 1452 | 32267 | 246 | 2020-05-23 | 2020-05-27 |
31.5.2020 | 226745 | 1428 | 32345 | 242 | 2020-05-23 | 2020-05-27 |
01.6.2020 | 227100 | 1405 | 32452 | 239 | 2020-05-23 | 2020-05-28 |
02.6.2020 | 227433 | 1382 | 32488 | 235 | 2020-05-23 | 2020-05-28 |
03.6.2020 | 227752 | 1360 | 32555 | 231 | 2020-05-24 | 2020-05-28 |
04.6.2020 | 228060 | 1338 | 32619 | 228 | 2020-05-24 | 2020-05-28 |
05.6.2020 | 228350 | 1317 | 32682 | 224 | 2020-05-24 | 2020-05-28 |
06.6.2020 | 228640 | 1296 | 32794 | 221 | 2020-05-24 | 2020-05-29 |
07.6.2020 | 228918 | 1277 | 32853 | 217 | 2020-05-24 | 2020-05-30 |
08.6.2020 | 229184 | 1258 | 32910 | 214 | 2020-05-24 | 2020-05-30 |
09.6.2020 | 229442 | 1239 | 32965 | 211 | 2020-05-25 | 2020-05-30 |
10.6.2020 | 229692 | 1221 | 33019 | 208 | 2020-05-25 | 2020-05-30 |
11.6.2020 | 229932 | 1294 | 33072 | 206 | 2020-05-25 | 2020-05-31 |
12.6.2020 | 230170 | 1187 | 33124 | 203 | 2020-05-25 | 2020-05-31 |
13.6.2020 | 230905 | 1141 | 33174 | 201 | 2020-05-26 | 2020-05-31 |
14.6.2020 | 231122 | 1125 | 33223 | 198 | 2020-05-26 | 2020-05-31 |
15.6.2020 | 231336 | 1110 | 33271 | 196 | 2020-05-27 | 2020-05-31 |
17.6.2020 | 231752 | 1081 | 33361 | 191 | 2020-05-27 | 2020-06-01 |
18.6.2020 | 231956 | 1068 | 33403 | 189 | 2020-05-27 | 2020-06-01 |
19.6.2020 | 232158 | 1055 | 33445 | 186 | 2020-05-27 | 2020-06-01 |
20.6.2020 | 232343 | 1042 | 33524 | 182 | 2020-05-27 | 2020-06-02 |
21.6.2020 | 232527 | 1030 | 33564 | 180 | 2020-05-27 | 2020-06-02 |
22.6.2020 | 232707 | 1017 | 33602 | 178 | 2020-05-28 | 2020-06-02 |
23.6.2020 | 232883 | 1006 | 33639 | 176 | 2020-05-28 | 2020-06-03 |
24.6.2020 | 233054 | 994 | 33674 | 174 | 2020-05-28 | 2020-06-03 |
25.6.2020 | 233232 | 984 | 33706 | 172 | 2020-05-28 | 2020-06-03 |
26.6.2020 | 233408 | 974 | 33738 | 170 | 2020-05-28 | 2020-06-03 |
27.6.2020 | 233583 | 964 | 33768 | 168 | 2020-05-28 | 2020-06-03 |
29.6.2020 | 233921 | 945 | 33826 | 164 | 2020-05-29 | 2020-06-04 |
30.6.2020 | 234084 | 936 | 33853 | 162 | 2020-05-29 | 2020-06-04 |
01.7.2020 | 234243 | 928 | 33879 | 160 | 2020-05-29 | 2020-06-04 |
02.7.2020 | 234399 | 919 | 33904 | 158 | 2020-05-29 | 2020-06-04 |
03.7.2020 | 234553 | 911 | 33929 | 156 | 2020-05-29 | 2020-06-04 |
04.7.2020 | 234705 | 903 | 33954 | 155 | 2020-05-29 | 2020-06-04 |
06.7.2020 | 235006 | 888 | 34000 | 151 | 2020-05-29 | 2020-06-05 |
07.7.2020 | 235154 | 880 | 34022 | 150 | 2020-05-29 | 2020-06-05 |
08.7.2020 | 235299 | 873 | 34043 | 148 | 2020-05-30 | 2020-06-05 |
10.7.2020 | 235585 | 860 | 34084 | 145 | 2020-05-30 | 2020-06-05 |
11.7.2020 | 235728 | 854 | 34104 | 143 | 2020-05-30 | 2020-06-05 |
13.7.2020 | 236009 | 842 | 34141 | 140 | 2020-05-30 | 2020-06-05 |
14.7.2020 | 236148 | 836 | 34159 | 139 | 2020-05-30 | 2020-06-05 |
16.7.2020 | 236418 | 825 | 34194 | 136 | 2020-05-30 | 2020-06-06 |
20.7.2020 | 236953 | 805 | 34260 | 131 | 2020-05-31 | 2020-06-06 |
22.7.2020 | 237215 | 796 | 34290 | 129 | 2020-05-31 | 2020-06-06 |
24.7.2020 | 237477 | 788 | 34319 | 126 | 2020-05-31 | 2020-06-06 |
27.7.2020 | 237874 | 778 | 34360 | 123 | 2020-06-01 | 2020-06-07 |
30.7.2020 | 238267 | 769 | 34398 | 120 | 2020-06-01 | 2020-06-07 |
05.8.2020 | 239075 | 757 | 34466 | 114 | 2020-06-02 | 2020-06-07 |
31.8.2020 | 243946 | 852 | 34729 | 93 | 2020-06-07 | 2020-06-09 |
Fecha | Casos totales | Desv. Estándar | Muertes totales | Desv. Estándar | Fecha de finalización - casos | Fecha de finalización - muertes |
---|---|---|---|---|---|---|
31.3.2020 | 55008 | 5806 | 6277 | 3996 | 2020-04-22 | 2020-04-23 |
1.4.2020 | 52688 | 3652 | 10343 | 7375 | 2020-04-21 | 2020-04-27 |
2.4.2020 | 62753 | 4632 | NC | NC | 2020-04-23 | NC |
3.4.2020 | 73543 | 5432 | NC | NC | 2020-04-25 | NC |
4.4.2020 | 82318 | 5449 | NC | NC | 2020-04-27 | NC |
5.4.2020 | 81481 | 3853 | 36040 | 19925 | 2020-04-27 | 2020-05-03 |
6.4.2020 | 91894 | 4521 | 14628 | 2492 | 2020-04-28 | 2020-04-27 |
7.4.2020 | 91561 | 3324 | 9869 | 915 | 2020-04-28 | 2020-04-22 |
8.4.2020 | 88592 | 2466 | 9838 | 612 | 2020-04-28 | 2020-04-22 |
9.4.2020 | 91856 | 2205 | 11086 | 655 | 2020-04-29 | 2020-04-24 |
10.4.2020 | 94575 | 2130 | 12378 | 688 | 2020-04-29 | 2020-04-26 |
11.4.2020 | 108098 | 4703 | 13884 | 758 | 2020-05-02 | 2020-04-28 |
12.4.2020 | 117744 | 5313 | 15019 | 727 | 2020-05-04 | 2020-04-29 |
13.4.2020 | 124201 | 5115 | 15335 | 572 | 2020-05-05 | 2020-04-29 |
14.4.2020 | 126461 | 4309 | 15443 | 440 | 2020-05-06 | 2020-04-29 |
15.4.2020 | 129079 | 3726 | 15707 | 359 | 2020-05-06 | 2020-04-30 |
16.4.2020 | 130927 | 3184 | 16060 | 311 | 2020-05-06 | 2020-04-30 |
17.4.2020 | 132720 | 2755 | 16622 | 308 | 2020-05-07 | 2020-05-01 |
18.4.2020 | 135951 | 2603 | 17283 | 237 | 2020-05-07 | 2020-05-02 |
19.4.2020 | 139948 | 2618 | 18052 | 364 | 2020-05-08 | 2020-05-03 |
20.4.2020 | 144791 | 2796 | 18583 | 354 | 2020-05-10 | 2020-05-04 |
21.4.2020 | 148978 | 2834 | 18869 | 316 | 2020-05-11 | 2020-05-04 |
22.4.2020 | 152444 | 2764 | 19342 | 314 | 2020-05-11 | 2020-05-05 |
23.4.2020 | 155994 | 2740 | 19887 | 326 | 2020-05-12 | 2020-05-06 |
24.4.2020 | 159196 | 2682 | 20423 | 348 | 2020-05-13 | 2020-05-07 |
25.4.2020 | 163035 | 2750 | 21005 | 368 | 2020-05-14 | 2020-05-08 |
26.4.2020 | 167009 | 2842 | 21663 | 401 | 2020-05-15 | 2020-05-09 |
27.4.2020 | 170468 | 2845 | 22156 | 401 | 2020-05-16 | 2020-05-10 |
28.4.2020 | 174433 | 2934 | 22513 | 383 | 2020-05-17 | 2020-05-11 |
29.4.2020 | 177292 | 2846 | 22889 | 373 | 2020-05-18 | 2020-05-12 |
30.4.2020 | 180628 | 2864 | 25188 | 885 | 2020-05-19 | 2020-05-16 |
1.5.2020 | 185600 | 3115 | 28048 | 466 | 2020-05-20 | 2020-05-15 |
2.5.2020 | 189445 | 3240 | 28611 | 475 | 2020-05-21 | 2020-05-16 |
3.5.2020 | 195437 | 3646 | 29150 | 482 | 2020-05-23 | 2020-05-17 |
4.5.2020 | 200104 | 3821 | 29563 | 471 | 2020-05-24 | 2020-05-18 |
5.5.2020 | 204417 | 3922 | 29898 | 455 | 2020-05-25 | 2020-05-18 |
6.5.2020 | 208637 | 4005 | 30270 | 445 | 2020-05-27 | 2020-05-19 |
7.5.2020 | 213516 | 4196 | 30675 | 443 | 2020-05-28 | 2020-05-20 |
8.5.2020 | 218738 | 4431 | 31076 | 441 | 2020-05-30 | 2020-05-20 |
9.5.2020 | 223086 | 4530 | 31500 | 445 | 2020-05-31 | 2020-05-21 |
10.5.2020 | 227776 | 4646 | 31873 | 442 | 2020-06-01 | 2020-05-22 |
11.5.2020 | 232526 | 4757 | 32189 | 433 | 2020-06-03 | 2020-05-23 |
12.5.2020 | 236634 | 4781 | 32448 | 419 | 2020-06-04 | 2020-05-23 |
13.5.2020 | 240351 | 4756 | 32752 | 413 | 2020-06-05 | 2020-05-24 |
14.5.2020 | 244141 | 4733 | 33066 | 410 | 2020-06-06 | 2020-05-25 |
15.5.2020 | 248359 | 4724 | 33377 | 408 | 2020-06-08 | 2020-05-25 |
16.5.2020 | 251341 | 4632 | 33678 | 406 | 2020-06-08 | 2020-05-26 |
17.5.2020 | 254195 | 4538 | 33987 | 405 | 2020-06-09 | 2020-05-27 |
18.5.2020 | 256983 | 4450 | 34253 | 401 | 2020-06-10 | 2020-05-27 |
19.5.2020 | 259494 | 4341 | 34484 | 393 | 2020-06-11 | 2020-05-28 |
20.5.2020 | 260735 | 4175 | 34743 | 390 | 2020-06-11 | 2020-05-29 |
21.5.2020 | 262970 | 4010 | 35000 | 387 | 2020-06-12 | 2020-05-29 |
22.5.2020 | 264233 | 3826 | 35253 | 385 | 2020-06-13 | 2020-05-30 |
23.5.2020 | 265664 | 3675 | 35504 | 384 | 2020-06-13 | 2020-05-30 |
24.5.2020 | 265740 | 3509 | 35746 | 382 | 2020-06-13 | 2020-05-31 |
25.5.2020 | 267252 | 3398 | 35959 | 377 | 2020-06-13 | 2020-06-01 |
26.5.2020 | 269169 | 3300 | 36150 | 371 | 2020-06-14 | 2020-06-01 |
27.5.2020 | 271515 | 3222 | 36322 | 364 | 2020-06-15 | 2020-06-02 |
28.5.2020 | 273014 | 3140 | 36509 | 360 | 2020-06-16 | 2020-06-02 |
29.5.2020 | 274420 | 3058 | 36687 | 355 | 2020-06-16 | 2020-06-03 |
30.5.2020 | 274590 | 2979 | 36886 | 353 | 2020-06-16 | 2020-06-03 |
31.5.2020 | 275887 | 2905 | 37078 | 351 | 2020-06-16 | 2020-06-04 |
01.6.2020 | 277148 | 2836 | 37272 | 350 | 2020-06-17 | 2020-06-04 |
02.6.2020 | 278335 | 2767 | 37455 | 348 | 2020-06-17 | 2020-06-05 |
03.6.2020 | 279474 | 2701 | 37660 | 349 | 2020-06-18 | 2020-06-05 |
04.6.2020 | 280600 | 2641 | 37871 | 351 | 2020-06-18 | 2020-06-06 |
05.6.2020 | 281712 | 2585 | 38072 | 352 | 2020-06-19 | 2020-06-07 |
06.6.2020 | 282797 | 2532 | 38346 | 358 | 2020-06-19 | 2020-06-08 |
07.6.2020 | 283850 | 2483 | 38547 | 360 | 2020-06-19 | 2020-06-08 |
08.6.2020 | 284855 | 2434 | 38732 | 359 | 2020-06-20 | 2020-06-09 |
09.6.2020 | 285808 | 2385 | 38902 | 358 | 2020-06-20 | 2020-06-09 |
10.6.2020 | 286768 | 2342 | 39074 | 357 | 2020-06-21 | 2020-06-10 |
11.6.2020 | 287669 | 2298 | 39246 | 356 | 2020-06-21 | 2020-06-11 |
12.6.2020 | 288543 | 2256 | 39412 | 355 | 2020-06-21 | 2020-06-11 |
13.6.2020 | 290545 | 2177 | 39575 | 354 | 2020-06-23 | 2020-06-12 |
14.6.2020 | 291392 | 2141 | 39734 | 353 | 2020-06-23 | 2020-06-12 |
15.6.2020 | 292243 | 2109 | 39881 | 351 | 2020-06-24 | 2020-06-13 |
17.6.2020 | 293856 | 2047 | 40153 | 346 | 2020-06-24 | 2020-06-14 |
18.6.2020 | 294639 | 2019 | 40288 | 343 | 2020-06-25 | 2020-06-14 |
19.6.2020 | 295412 | 1992 | 40420 | 341 | 2020-06-25 | 2020-06-15 |
20.6.2020 | 296187 | 1968 | 40655 | 339 | 2020-06-26 | 2020-06-16 |
21.6.2020 | 296960 | 1947 | 40781 | 337 | 2020-06-26 | 2020-06-16 |
22.6.2020 | 297729 | 1927 | 40898 | 334 | 2020-06-26 | 2020-06-17 |
23.6.2020 | 298477 | 1908 | 41007 | 331 | 2020-06-27 | 2020-06-17 |
24.6.2020 | 299203 | 1889 | 41121 | 328 | 2020-06-27 | 2020-06-18 |
25.6.2020 | 299895 | 1869 | 41234 | 326 | 2020-06-27 | 2020-06-18 |
26.6.2020 | 300583 | 1850 | 41346 | 324 | 2020-06-28 | 2020-06-19 |
27.6.2020 | 301284 | 1835 | 41458 | 322 | 2020-06-28 | 2020-06-19 |
29.6.2020 | 302642 | 1805 | 41670 | 317 | 2020-06-29 | 2020-06-20 |
30.6.2020 | 303298 | 1791 | 41766 | 315 | 2020-06-29 | 2020-06-20 |
01.7.2020 | 303932 | 1776 | 41863 | 312 | 2020-06-30 | 2020-06-21 |
02.7.2020 | 304555 | 1762 | 41961 | 310 | 2020-06-30 | 2020-06-21 |
03.7.2020 | 303655 | 1751 | 42056 | 308 | 2020-06-29 | 2020-06-22 |
04.7.2020 | 277528 | 1338 | 42150 | 306 | 2020-06-26 | 2020-06-22 |
06.7.2020 | 278251 | 1310 | 42327 | 301 | 2020-06-26 | 2020-06-23 |
07.7.2020 | 278597 | 1297 | 42408 | 299 | 2020-06-27 | 2020-06-23 |
08.7.2020 | 278943 | 1284 | 42491 | 297 | 2020-06-27 | 2020-06-23 |
10.7.2020 | 279635 | 1261 | 42653 | 292 | 2020-06-27 | 2020-06-24 |
11.7.2020 | 279977 | 1251 | 42730 | 290 | 2020-06-28 | 2020-06-25 |
13.7.2020 | 280679 | 1234 | 42882 | 286 | 2020-06-28 | 2020-06-25 |
14.7.2020 | 281027 | 1226 | 43021 | 275 | 2020-06-28 | 2020-06-25 |
16.7.2020 | 281762 | 1216 | 43156 | 271 | 2020-06-29 | 2020-06-26 |
20.7.2020 | 283247 | 1204 | 43413 | 264 | 2020-06-30 | 2020-06-27 |
22.7.2020 | 283992 | 1201 | 43531 | 260 | 2020-06-30 | 2020-06-28 |
24.7.2020 | 284732 | 1199 | 43646 | 256 | 2020-07-01 | 2020-06-28 |
27.7.2020 | 285871 | 1202 | 43816 | 251 | 2020-07-02 | 2020-06-29 |
30.7.2020 | 287024 | 1208 | 43975 | 246 | 2020-07-03 | 2020-06-30 |
05.8.2020 | 289420 | 1236 | 44277 | 238 | 2020-07-05 | 2020-07-01 |
31.8.2020 | 302791 | 1608 | 40613 | 129 | 2020-07-17 | 2020-06-20 |
Fecha | Casos totales | Desv. Estándar | Muertes totales | Desv. Estándar | Fecha de finalización - casos | Fecha de finalización - muertes |
---|---|---|---|---|---|---|
31.3.2020 | 264595 | 8153 | 7708 | 566 | 2020-04-13 | 2020-04-16 |
1.4.2020 | 300786 | 10745 | 15340 | 3363 | 2020-04-15 | 2020-04-22 |
2.4.2020 | 332232 | 11464 | 19882 | 3735 | 2020-04-16 | 2020-04-23 |
3.4.2020 | 376764 | 14659 | 28246 | 5339 | 2020-04-18 | 2020-04-26 |
4.4.2020 | 427980 | 18269 | 24774 | 2547 | 2020-04-20 | 2020-04-25 |
5.4.2020 | 478635 | 20696 | 23157 | 1409 | 2020-04-21 | 2020-04-24 |
6.4.2020 | 503809 | 18013 | 20340 | 811 | 2020-04-22 | 2020-04-23 |
7.4.2020 | 523267 | 15330 | 18725 | 522 | 2020-04-23 | 2020-04-22 |
8.4.2020 | 541860 | 13669 | 21826 | 889 | 2020-04-24 | 2020-04-24 |
9.4.2020 | 567368 | 13259 | 26091 | 1384 | 2020-04-24 | 2020-04-26 |
10.4.2020 | 595894 | 14831 | 28606 | 1330 | 2020-04-25 | 2020-04-28 |
11.4.2020 | 629386 | 16177 | 31567 | 1374 | 2020-04-27 | 2020-04-29 |
12.4.2020 | 657205 | 16221 | 33072 | 1162 | 2020-04-28 | 2020-04-30 |
13.4.2020 | 680887 | 15682 | 32974 | 849 | 2020-04-29 | 2020-04-30 |
14.4.2020 | 698535 | 14468 | 32733 | 627 | 2020-04-29 | 2020-04-30 |
15.4.2020 | 715794 | 13564 | 34346 | 663 | 2020-04-30 | 2020-04-30 |
16.4.2020 | 735038 | 13254 | 37104 | 920 | 2020-05-01 | 2020-05-02 |
17.4.2020 | 758225 | 13779 | 45566 | 2648 | 2020-05-02 | 2020-05-06 |
18.4.2020 | 784451 | 14843 | 57764 | 5047 | 2020-05-03 | 2020-05-11 |
19.4.2020 | 812466 | 16152 | 62572 | 4991 | 2020-05-04 | 2020-05-13 |
20.4.2020 | 838999 | 16984 | 63090 | 4031 | 2020-05-05 | 2020-05-13 |
21.4.2020 | 863037 | 17315 | 61051 | 2992 | 2020-05-06 | 2020-05-12 |
22.4.2020 | 894553 | 19019 | 61303 | 2447 | 2020-05-08 | 2020-05-13 |
23.4.2020 | 911635 | 18236 | 60635 | 2021 | 2020-05-09 | 2020-05-12 |
24.4.2020 | 937041 | 18875 | 62745 | 1984 | 2020-05-10 | 2020-05-13 |
25.4.2020 | 966748 | 20262 | 64152 | 1794 | 2020-05-11 | 2020-05-14 |
26.4.2020 | 998272 | 21828 | 65104 | 1588 | 2020-05-13 | 2020-05-14 |
27.4.2020 | 1027820 | 22713 | 65289 | 1354 | 2020-05-14 | 2020-05-14 |
28.4.2020 | 1055069 | 23439 | 65393 | 1161 | 2020-05-15 | 2020-05-14 |
29.4.2020 | 1077934 | 22815 | 63978 | 1187 | 2020-05-16 | 2020-05-15 |
30.4.2020 | 1103629 | 23537 | 65766 | 1251 | 2020-05-18 | 2020-05-16 |
1.5.2020 | 1131032 | 24470 | 67606 | 1318 | 2020-05-19 | 2020-05-18 |
2.5.2020 | 1159472 | 25325 | 69448 | 1379 | 2020-05-20 | 2020-05-19 |
3.5.2020 | 1188128 | 26168 | 71035 | 1395 | 2020-05-22 | 2020-05-20 |
4.5.2020 | 1215521 | 26764 | 72385 | 1377 | 2020-05-23 | 2020-05-21 |
5.5.2020 | 1240648 | 26997 | 73587 | 1353 | 2020-05-24 | 2020-05-22 |
6.5.2020 | 1264582 | 27079 | 74968 | 1355 | 2020-05-25 | 2020-05-23 |
7.5.2020 | 1287696 | 27084 | 76620 | 1405 | 2020-05-26 | 2020-05-24 |
8.5.2020 | 1313202 | 27531 | 78443 | 1480 | 2020-05-28 | 2020-05-25 |
9.5.2020 | 1334483 | 27222 | 80142 | 1527 | 2020-05-29 | 2020-05-26 |
10.5.2020 | 1358582 | 27465 | 81780 | 1563 | 2020-05-30 | 2020-05-28 |
11.5.2020 | 1380479 | 27428 | 83052 | 1545 | 2020-05-31 | 2020-05-29 |
12.5.2020 | 1400437 | 27178 | 84184 | 1514 | 2020-06-01 | 2020-05-29 |
13.5.2020 | 1421068 | 27135 | 85371 | 1496 | 2020-06-02 | 2020-05-30 |
14.5.2020 | 1441293 | 27047 | 86633 | 1494 | 2020-06-03 | 2020-05-31 |
15.5.2020 | 1463048 | 27154 | 87964 | 1503 | 2020-06-05 | 2020-06-01 |
16.5.2020 | 1483281 | 27147 | 89314 | 1518 | 2020-06-06 | 2020-06-02 |
17.5.2020 | 1503914 | 27230 | 90574 | 1521 | 2020-06-07 | 2020-06-04 |
18.5.2020 | 1523409 | 27187 | 91655 | 1504 | 2020-06-08 | 2020-06-04 |
19.5.2020 | 1542593 | 27138 | 92588 | 1472 | 2020-06-09 | 2020-06-05 |
20.5.2020 | 1557445 | 26676 | 93585 | 1453 | 2020-06-09 | 2020-06-06 |
21.5.2020 | 1578114 | 26883 | 94628 | 1445 | 2020-06-11 | 2020-06-07 |
22.5.2020 | 1597699 | 26992 | 95653 | 1436 | 2020-06-12 | 2020-06-08 |
23.5.2020 | 1619715 | 27339 | 96670 | 1429 | 2020-06-13 | 2020-06-09 |
24.5.2020 | 1633885 | 26946 | 97649 | 1420 | 2020-06-14 | 2020-06-09 |
25.5.2020 | 1653237 | 27082 | 98506 | 1400 | 2020-06-15 | 2020-06-10 |
26.5.2020 | NC | NC | 99239 | 1369 | NC | 2020-06-11 |
27.5.2020 | 1696015 | 27726 | 99781 | 1319 | 2020-06-18 | 2020-06-11 |
28.5.2020 | 1713714 | 27700 | 100650 | 1314 | 2020-06-19 | 2020-06-12 |
29.5.2020 | 1731739 | 27738 | 101295 | 1283 | 2020-06-20 | 2020-06-13 |
30.5.2020 | 1742923 | 27181 | 102080 | 1272 | 2020-06-20 | 2020-06-13 |
31.5.2020 | 1761974 | 27396 | 102849 | 1262 | 2020-06-21 | 2020-06-14 |
01.6.2020 | 1780813 | 27591 | 103675 | 1261 | 2020-06-22 | 2020-06-15 |
02.6.2020 | 1799667 | 27796 | NC | NC | 2020-06-23 | NC |
03.6.2020 | 1818378 | 27991 | 104907 | 1218 | 2020-06-24 | 2020-06-16 |
04.6.2020 | 1836952 | 28176 | 105591 | 1207 | 2020-06-26 | 2020-06-17 |
05.6.2020 | 1855588 | 28376 | 106285 | 1200 | 2020-06-27 | 2020-06-18 |
06.6.2020 | 1874844 | 28657 | 107166 | 1210 | 2020-06-28 | 2020-06-19 |
07.6.2020 | 1894361 | 28970 | 107822 | 1201 | 2020-06-29 | 2020-06-19 |
08.6.2020 | 1914079 | 29306 | 108453 | 1191 | 2020-06-30 | 2020-06-20 |
09.6.2020 | 1933622 | 29617 | 109032 | 1178 | 2020-07-02 | 2020-06-21 |
10.6.2020 | 1953235 | 29909 | 109656 | 1170 | 2020-07-03 | 2020-06-21 |
11.6.2020 | 1972283 | 30160 | 110294 | 1165 | 2020-07-04 | 2020-06-22 |
12.6.2020 | 1992481 | 30536 | 110906 | 1159 | 2020-07-05 | 2020-06-23 |
13.6.2020 | 2029188 | 31488 | 111546 | 1142 | 2020-07-08 | 2020-06-23 |
14.6.2020 | 2050797 | 31450 | 112191 | 1125 | 2020-07-09 | 2020-06-24 |
15.6.2020 | 2070815 | 31821 | 112726 | 1117 | 2020-07-11 | 2020-06-24 |
17.6.2020 | 2111112 | 32581 | 113736 | 1097 | 2020-07-13 | 2020-06-25 |
18.6.2020 | 2132164 | 33061 | 114246 | 1090 | 2020-07-15 | 2020-06-26 |
19.6.2020 | 2154172 | 33649 | NC | NC | 2020-07-16 | NC |
20.6.2020 | 2177391 | 34373 | 115428 | 1081 | 2020-07-18 | 2020-06-28 |
21.6.2020 | 2202576 | 35325 | 115923 | 1075 | 2020-07-20 | 2020-06-28 |
22.6.2020 | 2227929 | 36262 | 116382 | 1067 | 2020-07-21 | 2020-06-29 |
23.6.2020 | 2254908 | 37377 | 116823 | 1058 | 2020-07-23 | 2020-06-29 |
24.6.2020 | 2283420 | 38654 | 117275 | 1051 | 2020-07-25 | 2020-06-30 |
25.6.2020 | 2313666 | 40112 | 117735 | 1046 | 2020-07-27 | 2020-07-01 |
26.6.2020 | 2346572 | 41879 | 118319 | 1054 | 2020-07-29 | 2020-07-01 |
27.6.2020 | 2382502 | 44003 | 118893 | 1062 | 2020-08-01 | 2020-07-02 |
29.6.2020 | 2462376 | 49125 | 119978 | 1071 | 2020-08-06 | 2020-07-04 |
30.6.2020 | 2506251 | 52102 | 120480 | 1071 | 2020-08-09 | 2020-07-04 |
01.7.2020 | 2553438 | 55454 | 121353 | 1069 | 2020-08-12 | 2020-07-04 |
02.7.2020 | 2605290 | 59380 | 121886 | 1074 | 2020-08-15 | 2020-07-05 |
03.7.2020 | 2662705 | 64043 | 122397 | 1077 | 2020-08-19 | 2020-07-06 |
04.7.2020 | 2725675 | 69440 | 122901 | 1079 | 2020-08-23 | 2020-07-06 |
06.7.2020 | 2864217 | 81761 | 123829 | 1078 | 2020-08-31 | 2020-07-08 |
07.7.2020 | 2942095 | 89086 | 124267 | 1076 | 2020-09-05 | 2020-07-08 |
08.7.2020 | 3026892 | 97435 | 124737 | 1078 | 2020-09-10 | 2020-07-09 |
10.7.2020 | 3223243 | 118403 | 125715 | 1085 | 2020-09-20 | 2020-07-10 |
11.7.2020 | 3338567 | 131831 | 126222 | 1091 | 2020-09-26 | 2020-07-11 |
13.7.2020 | 3603264 | 164974 | 127228 | 1102 | 2020-10-09 | 2020-07-13 |
14.7.2020 | 3752874 | 184952 | 127712 | 1106 | 2020-10-16 | 2020-07-13 |
16.7.2020 | 4102772 | 235786 | 128718 | 1118 | 2020-10-30 | 2020-07-15 |
20.7.2020 | 5067477 | 403931 | 130873 | 1157 | 2020-12-02 | 2020-07-18 |
22.7.2020 | 5670254 | 523377 | 131944 | 1176 | 2020-12-19 | 2020-07-20 |
24.7.2020 | NC | NC | 133108 | 1204 | NC | 2020-07-22 |
27.7.2020 | 7621866 | 975195 | 135002 | 1258 | 2021-01-29 | 2020-07-25 |
30.7.2020 | NC | NC | 137013 | 1321 | NC | 2020-07-29 |
05.8.2020 | NC | NC | 141605 | 1489 | NC | 2020-08-06 |
31.8.2020 | 10016168 | 496821 | 167578 | 2482 | 2021-03-02 | 2020-09-22 |