  Even though laboratory and epidemiological studies have demonstrated the
effects of ambient temperature on the transmission and survival of
coronaviruses, not much has been done on the effects of weather on the spread
of COVID-19. This study investigates the effects of temperature, humidity,
precipitation, wind speed and the specific government policy intervention of
partial lockdown on the new cases of COVID-19 infection in Ghana. Daily data on
confirmed cases of COVID-19 from March 13, 2020 to April 21, 2020 were obtained
from the official website of Our World in Data (OWID) dedicated to COVID-19
while satellite climate data for the same period was obtained from the official
website of NASA's Prediction of Worldwide Energy Resources (POWER) project.
Considering the nature of the data and the objectives of the study, a time
series generalized linear model which allows for regressing on past
observations of the response variable and covariates was used for model
fitting. The results indicate significant effects of maximum temperature,
relative humidity and precipitation in predicting new cases of the disease.
Also, results of the intervention analysis indicate that the null hypothesis of
no significant effect of the specific policy intervention of partial lockdown
should be rejected (p-value=0.0164) at a 5\% level of significance. These
findings provide useful insights for policymakers and the public.
