Factors influencing people's uptake of government interventions to mitigate COVID-19 pandemic: a case study of Lugazi Ward, Namayumba Subcounty

Abstract

The corona virus disease (COVID-19) outbreak started in Wuhan city of China in 2019 that has spread to all continents affecting 177 countries by 2020. COVID-19 was declared global pandemic in march 2020 by World Health Organization. To lower rate of spread and the number of deaths, several interventions were and are still being used Uganda inclusive. Many studies have been executed mostly assessing the effect economically, socially and politically on regional, national and international level, therefore this study focuses on assessing the factors that influence the uptake of the COVID-19 interventions in Luguzi ward, Namayumba sub county in Wakiso District. This study aims at accessing the relationship between the age and Uptake; determine the association between employment status and the uptake; find out the effect of education level to the uptake of the COVID-19 interventions. This study will add on the research body, inform the relevant agencies on intervention implementation strategies. The study will be implemented in a cross-sectional quantitative research design. Data was collected from 150 area residents, cleaned and analyzed in SPSS v25. Data analysis was performed at the univariate, bivariate and multivariate levels. However, Resource limitations, Poor Cooperation from some respondents and Rainy days and the poor terrain of Luguzi ward hindered the collection of data. Majority (60%) were females and most (50.9%) of them were married. However, majority (43.2%) had their highest level of education as primary. Jointly, it is more likely that the gender of the respondent, suffering from COVID-19 and Knowledge about COVID-19 influence the uptake of the government COVID-19 interventions unlike the other factors of Gender of the respondent, age of respondent, education level, employment status, current employment status and friends suffered COVID-19. From the study, I would recommend that the concerned agencies to have selective interventions for different categories of people in the communities as opposed to uniform policies for all people irrespective of age, gender, marital status and education level.