BACKGROUND: COVID-19 has been one of the greatest challenges the world has faced since the second world war. This study aimed at investigating the distribution of COVID-19 in both space and time in Malawi. METHODS: The study used publicly available data of COVID-19 cases for the period from 2 April 2020 to 28 October 2020. Semiparametric spatial temporal models were fitted to the number of monthly confirmed cases as an outcome data, with time and district as independent variables, where district was the spatial unit, while accounting for sociodemographic factors. RESULTS: The study found significant effects of location and time, with the two interacting. The spatial distribution of COVID-19 risk showed major cities being at greater risk than rural areas. Over time, the COVID-19 risk was increasing then decreasing in most districts with the rural districts being consistently at lower risk. High proportion of elderly people was positively associated with COVID-19 risk (β = 1.272, 95% CI [0.171, 2.370]) than low proportion of elderly people. There was negative association between poverty incidence and COVID-19 risk (β = -0.100, 95% CI [-0.136, -0.065]). CONCLUSION: Future or present strategies to limit the spread of COVID-19 should target major cities and the focus should be on time periods that had shown high risk. Furthermore, the focus should be on elderly and rich people.
BACKGROUND: COVID-19 has been one of the greatest challenges the world has faced since the second world war. This study aimed at investigating the distribution of COVID-19 in both space and time in Malawi. METHODS: The study used publicly available data of COVID-19 cases for the period from 2 April 2020 to 28 October 2020. Semiparametric spatial temporal models were fitted to the number of monthly confirmed cases as an outcome data, with time and district as independent variables, where district was the spatial unit, while accounting for sociodemographic factors. RESULTS: The study found significant effects of location and time, with the two interacting. The spatial distribution of COVID-19 risk showed major cities being at greater risk than rural areas. Over time, the COVID-19 risk was increasing then decreasing in most districts with the rural districts being consistently at lower risk. High proportion of elderly people was positively associated with COVID-19 risk (β = 1.272, 95% CI [0.171, 2.370]) than low proportion of elderly people. There was negative association between poverty incidence and COVID-19 risk (β = -0.100, 95% CI [-0.136, -0.065]). CONCLUSION: Future or present strategies to limit the spread of COVID-19 should target major cities and the focus should be on time periods that had shown high risk. Furthermore, the focus should be on elderly and rich people.
Authors: Anton Pak; Oyelola A Adegboye; Adeshina I Adekunle; Kazi M Rahman; Emma S McBryde; Damon P Eisen Journal: Front Public Health Date: 2020-05-29
Authors: Kurubaran Ganasegeran; Mohd Fadzly Amar Jamil; Maheshwara Rao Appannan; Alan Swee Hock Ch'ng; Irene Looi; Kalaiarasu M Peariasamy Journal: Int J Environ Res Public Health Date: 2022-02-13 Impact factor: 3.390
Authors: Nushrat Nazia; Zahid Ahmad Butt; Melanie Lyn Bedard; Wang-Choi Tang; Hibah Sehar; Jane Law Journal: Int J Environ Res Public Health Date: 2022-07-06 Impact factor: 4.614