| Abstrak/Abstract |
Introduction: Indonesia is ranked the 4th most populous country in the world.
Since Covid19 is highly transmissible from human to human, Indonesia might
suffer a long period of the Covid19 pandemic than other less-populous countries.
This study aimed to find the correlations of tropical climate, population density
and confounding factors with Covid19 progression in Indonesia from March to
August 2020. Methods: The climatological data, population density, laboratory
testing, and the confirmed Covid19 cases were statistically analyzed. The
correlations between each data were performed with Pearson’s Correlation
Coefficient using a Statistical Package for the Social Sciences. The values of
statistical significance were considered at 95% and 99% confidence intervals.
Results and Discussion: Indonesia recorded more than 1,315 confirmed Covid19
cases in almost all provinces (30 out of 34) during the dry season (March to
August 2020). During the early pandemic, DKI Jakarta and East Java have
been the epicenters of the pandemic in Indonesia. Humidity and precipitation
have a weak negative correlation, while the temperatures have a weak positive
correlation. Population density and laboratory testing have a strong positive and
significant correlation with the cumulative confirmed Covid19 cases. Conclusion:
Our study indicates that tropical climate less affects the cumulative Covid19
case in Indonesia than population density and laboratory testing capacity. |
