COVID19 Reporting
Equatorial Guinea COVID19 Cases in Equatorial Guinea [Last data 2020-06-30]

32

People killed

2'001

Infected by Corona-Virus

1.6%

Mortality rate

Neutral: growth of the infection unknown

Outlook

Development
COVID19 Data for Equatorial Guinea
Population: 1308974
DateInfectedDeathsGrowth 1 day
% growth last day		Growth 5 days
Average % growth last 5 days		 Mortality rate
% deaths per infection		Infection rate
Infections per 100'000		Death Rate
Deaths per 100'000
15.03.2020100.00.10.0
18.03.2020400.00.30.0
19.03.20206050.00.00.50.0
22.03.2020600.00.50.0
23.03.20209050.017.60.00.70.0
24.03.2020900.08.40.00.70.0
25.03.2020900.00.00.70.0
26.03.202012033.30.00.90.0
27.03.20201200.014.90.00.90.0
28.03.20201200.05.90.00.90.0
29.03.20201200.05.90.00.90.0
30.03.20201200.05.90.00.90.0
31.03.20201200.00.00.00.90.0
01.04.202015025.04.60.01.10.0
02.04.20201500.04.60.01.10.0
03.04.20201606.75.90.01.20.0
04.04.20201600.05.90.01.20.0
05.04.20201600.05.90.01.20.0
06.04.20201600.01.30.01.20.0
07.04.20201600.01.30.01.20.0
08.04.202018012.52.40.01.40.0
09.04.20201800.02.40.01.40.0
10.04.20201800.02.40.01.40.0
11.04.20201800.02.40.01.40.0
12.04.202021016.75.60.01.60.0
13.04.20202100.03.10.01.60.0
14.04.202041095.217.90.03.10.0
15.04.202051024.423.20.03.90.0
16.04.20205100.023.20.03.90.0
17.04.202079054.930.30.06.00.0
18.04.20207900.030.30.06.00.0
19.04.20207900.014.00.06.00.0
20.04.20207900.09.10.06.00.0
21.04.20208305.110.20.06.30.0
22.04.20208411.21.21.26.40.1
24.04.20208411.21.26.40.1
25.04.2020214122.10.516.30.1
26.04.2020258120.625.50.419.70.1
29.04.2020315130.30.324.10.1
30.04.202031510.08.00.324.10.1
01.05.202031510.04.10.324.10.1
02.05.202031510.00.324.10.1
03.05.202031510.00.324.10.1
04.05.202031510.00.00.324.10.1
05.05.202031530.00.01.024.10.2
06.05.202031530.00.01.024.10.2
07.05.2020439439.46.90.933.50.3
08.05.202043940.06.90.933.50.3
09.05.202043940.06.90.933.50.3
10.05.202043940.06.90.933.50.3
11.05.202043940.06.90.933.50.3
12.05.202043940.00.00.933.50.3
13.05.202043940.00.00.933.50.3
14.05.2020522618.93.51.139.90.5
15.05.2020583711.75.81.244.50.5
16.05.202059471.96.21.245.40.5
17.05.202059470.06.21.245.40.5
18.05.202059470.06.21.245.40.5
19.05.2020719721.06.61.054.90.5
20.05.2020825714.77.20.863.00.5
21.05.202089077.98.40.868.00.5
22.05.2020903101.58.71.169.00.8
23.05.2020960116.310.11.173.30.8
24.05.2020960110.06.01.173.30.8
25.05.2020960110.03.11.173.30.8
26.05.20201043128.63.21.279.70.9
27.05.20201043120.02.91.279.70.9
28.05.20201043120.01.71.279.70.9
29.05.20201043120.01.71.279.70.9
30.05.202013061225.26.30.999.80.9
31.05.20201306120.04.60.999.80.9
01.06.20201306120.04.60.999.80.9
02.06.20201306120.04.60.999.80.9
03.06.20201306120.04.60.999.80.9
04.06.20201306120.00.00.999.80.9
05.06.20201306120.00.00.999.80.9
06.06.20201306120.00.00.999.80.9
08.06.20201306120.00.999.80.9
09.06.20201306120.00.00.999.80.9
10.06.20201306120.00.00.999.80.9
11.06.20201306120.00.00.999.80.9
12.06.20201306120.00.999.80.9
13.06.20201306120.00.00.999.80.9
14.06.20201306120.00.00.999.80.9
15.06.20201306120.00.00.999.80.9
16.06.20201306120.00.00.999.80.9
17.06.202016643227.45.01.9127.12.4
19.06.20201664325.01.9127.12.4
20.06.20201664320.05.01.9127.12.4
21.06.20201664320.05.01.9127.12.4
23.06.20201664321.9127.12.4
24.06.20201664320.00.01.9127.12.4
26.06.20202001323.81.6152.92.4
27.06.20202001320.01.6152.92.4
28.06.20202001320.03.81.6152.92.4
29.06.20202001320.03.81.6152.92.4
30.06.20202001320.01.6152.92.4

  • * Sick people: For the calculation of the number of sick people a recovery time of 18 days is assumed. I.e. #Sick_people = #Cases_of_infection - #deaths - #Cases_of_infections_18days_ago
  •  If you see any inconsistencies in the data or have any questions, please do not hesitate to contact me.