dc.contributor.author | Okello, Justine | |
dc.date.accessioned | 2023-01-24T09:27:13Z | |
dc.date.available | 2023-01-24T09:27:13Z | |
dc.date.issued | 2022-12-15 | |
dc.identifier.citation | Okello, J. (2022). Climatic determinants of COVID-19 cases and deaths in Uganda: 2020-2022. (Unpublished Master's Dissertation). Makerere University, Kampala, Uganda. | en_US |
dc.identifier.uri | http://hdl.handle.net/10570/11678 | |
dc.description | A dissertation submitted to the Directorate of Research and Graduate Training in partial fulfillment of the requirements for the award of the degree of Master of Science in Veterinary Preventive Medicine of Makerere University | en_US |
dc.description.abstract | Introduction: Climate change has been shown to influence viral disease transmission. The strange fluctuations in cases and deaths due to COVID-19 could be due to the dynamics in weather patterns. This study aimed to explore the relationship and influence of meteorological parameters on COVID-19 cases and deaths.
Methods: I designed a longitudinal retrospective study to explore the influence of temperature, rainfall, wind speed and humidity on COVID-19 cases and deaths from March 2020 to January 2022. Datasets of both predictor (Meteorological weather parameters) and outcome (COVID-19 cases and deaths) variables were obtained from the records of the National Meteorological Authority and Ministry of Health websites respectively. A choropleth map was drawn in QGIS 3.2 showing the spatial distribution of the COVID-19 cases/100,000. The trends of COVID-19 cases and deaths were determined by plotting line graphs for the mean monthly observed variable concerning with the different years. The non-parametric tests (Spearman’s correlations) were used to investigate the association between the outcome and variables. A generalized linear regression model (bivariate and multivariate) was conducted to explore the climatic determinants of COVID-19 cases and deaths using the different predictor variables. Multicollinearity was assessed in the modelling process
Results: The unit increase in the daily maximum temperature for the COVID-19 cases decreased by 43.31 times [43.31; 95% CI = -71.87-(-14.76); p-value 0.003] whereas COVID-19 deaths decreased by 4.47 times [4.47; 95% CI = -7.25-(-1.70); p-value 0.002].
Conclusion: Districts of Amuru, Gulu, Moroto, Mbarara and Kampala presented with the highest number of COVID-19 cases per 100,000. More number of COVID-19 cases and deaths were observed in the periods of April to August. Temperature and relative humidity were both negatively related to the daily COVID-19 cases and Deaths. More surveillance needs to be conducted during the period from April to August as the period exhibited with high number of COVID-19 cases and deaths. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Makerere University | en_US |
dc.subject | Climatic | en_US |
dc.subject | Determinants | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | Cases | en_US |
dc.subject | Deaths | en_US |
dc.title | Climatic determinants of COVID-19 cases and deaths in Uganda: 2020-2022 | en_US |
dc.type | Thesis | en_US |