Back

Epidemiological aspects of COVID-19 disease in India during nationwide lockdown phase- An empirical data-based analysis and its implications on interrupting the transmission

VANAMAIL, P.

2020-07-17 infectious diseases
10.1101/2020.07.16.20155903
Show abstract

BackgroundCovid-19 disease is pandemic in more than 85% of the countries in the world, with about 10 million cases and 0.5 million deaths as on July 2, 2020. In India reporting of the first case was on January 30, 2020, and to prevent rapid community spread of the disease nationwide lockdown phase was imposed from March 25- June 1, 2020. Our objective was to assess various epidemiological measures during the lockdown phase. MethodsWe used daily reporting of confirmed cases by the Ministry of Health and Family Welfare, Government of India during the period March 19-June 1, 2020. Using statistical packages STATA and R-packages, we fitted three statistical distributions (Gamma, Weibull and Log-normal) to the daily recorded new cases. We estimated daily incidence rate and death rate per million population, generation time and Basic Reproduction numbers. ResultsDuring the lockdown phase, the daily per cent increase in the cumulative number of cases showed negative exponential growth with 0.022 as an instantaneous rate of decrease. The average incidence rate with a 95% confidence interval (CI) was 1.84 (1.43-2.25). Day specific incidence rate per million (revealed the exponential pattern with 0.069 as the instantaneous rate of increase per day, which accounted for the doubling time of the disease (10 days; 95% CI: 9.25-10.93). Case fatality rate (2.92%; 95% CI: 2.82% -3.02%) and overall death rate was 1.14 (95% CI: 0.87-1.41) per million. were abysmally low. Statistical distribution fitting of new cases found to be satisfactory with Gamma distribution. Basic reproduction numbers 1.83 (95% CI: 1.82-1.83) was less. ConclusionIn India, with a population density of about 450 per Km2, the virulent of COVID-19 transmission was interrupted significantly with 70 days lockdown during the early transmission stage. We observed a considerable decline in all the epidemiological indices compared to the corresponding indices recorded during the same period in the severely affected countries.

Matching journals

The top 10 journals account for 50% of the predicted probability mass.

1
PLOS ONE
based on 1737 papers
Top 52%
10.0%
2
International Journal of Infectious Diseases
based on 115 papers
Top 0.2%
10.0%
3
JMIR Public Health and Surveillance
based on 45 papers
Top 0.2%
7.4%
4
Cureus
based on 64 papers
Top 4%
4.6%
5
PLOS Global Public Health
based on 287 papers
Top 9%
4.4%
6
Frontiers in Public Health
based on 135 papers
Top 7%
4.4%
7
PLOS Neglected Tropical Diseases
based on 166 papers
Top 5%
2.9%
8
BMC Infectious Diseases
based on 110 papers
Top 4%
2.7%
9
Journal of Family Medicine and Primary Care
based on 10 papers
Top 0.3%
2.7%
10
Scientific Reports
based on 701 papers
Top 56%
2.7%
50% of probability mass above
11
BMJ Open
based on 553 papers
Top 37%
2.3%
12
IJID Regions
based on 10 papers
Top 0.1%
2.2%
13
Emerging Infectious Diseases
based on 84 papers
Top 6%
2.2%
14
Epidemiology and Infection
based on 80 papers
Top 5%
1.7%
15
PeerJ
based on 46 papers
Top 4%
1.7%
16
Journal of Medical Virology
based on 95 papers
Top 6%
1.5%
17
Infectious Disease Modelling
based on 50 papers
Top 4%
1.5%
18
Heliyon
based on 57 papers
Top 5%
1.5%
19
Frontiers in Physics
based on 11 papers
Top 1%
1.3%
20
Disaster Medicine and Public Health Preparedness
based on 16 papers
Top 3%
1.3%
21
Frontiers in Medicine
based on 99 papers
Top 14%
1.3%
22
The American Journal of Tropical Medicine and Hygiene
based on 50 papers
Top 7%
1.3%
23
Journal of Infection and Public Health
based on 15 papers
Top 1%
1.2%
24
Journal of Public Health
based on 23 papers
Top 3%
0.8%
25
EClinicalMedicine
based on 21 papers
Top 1%
0.8%
26
Chaos, Solitons & Fractals
based on 17 papers
Top 4%
0.8%
27
Archives of Clinical and Biomedical Research
based on 18 papers
Top 2%
0.8%
28
JMIR Formative Research
based on 31 papers
Top 7%
0.7%
29
Infection, Genetics and Evolution
based on 14 papers
Top 2%
0.7%