An in-depth statistical analysis of the COVID-19 pandemic's initial spread in the WHO African region

被引:13
作者
James, Ananthu [1 ,2 ]
Dalal, Jyoti [2 ]
Kousi, Timokleia [2 ,3 ]
Vivacqua, Daniela [2 ,4 ]
Portela Camara, Daniel Cardoso [2 ,5 ,6 ,7 ]
Dos Reis, Izabel Cristina [2 ,5 ,6 ]
Mesa, Sara Botero [2 ,3 ]
Ng'ambi, Wignston [2 ,3 ,8 ]
Ansobi, Papy [2 ,9 ]
Bianchi, Lucas M. [2 ,7 ,10 ]
Lee, Theresa M. [7 ]
Ogundiran, Opeayo [7 ]
Stoll, Beat [3 ]
Chimbetete, Cleophas [2 ,11 ]
Mboussou, Franck [7 ]
Impouma, Benido [7 ]
Hofer, Cristina Barroso [2 ,4 ]
Coelho, Flavio Codeco [2 ,12 ]
Keiser, Olivia [2 ,3 ]
Abbate, Jessica Lee [2 ,7 ,13 ,14 ]
机构
[1] Indian Inst Sci, Dept Chem Engn, Bangalore, Karnataka, India
[2] Assoc Act Sante, Global Res & Anal Publ Hlth GRAPH Network, Geneva, Switzerland
[3] Univ Geneva, Fac Med, Inst Global Hlth, Geneva, Switzerland
[4] Univ Fed Rio de Janeiro, Inst Puericultura & Pediat Martagao Gesteira, Rio De Janeiro, Brazil
[5] Fundacao Oswaldo Cruz, Inst Oswaldo Cruz, Lab Mosquitos Transmissores Hematozoarios LATHEMA, Rio De Janeiro, Brazil
[6] Fundacao Oswaldo Cruz, Nucleo Operac Sentinela Mosquitos Vetores NOSMOVE, Rio De Janeiro, Brazil
[7] WHO, Reg Off Africa, Brazzaville, Rep Congo
[8] Kamuzu Univ Hlth Sci, Dept Hlth Syst & Policy, Hlth Econ Policy Unit, Lilongwe, Malawi
[9] Univ Kinshasa, Fac Med, Res & Training Unit Ecol & Control Infect Dis URF, Kinshasa, DEM REP CONGO
[10] ENSP Fiocruz, Natl Sch Publ Hlth Sergio Arouca, Rio De Janeiro, Brazil
[11] Newlands Clin, Harare, Zimbabwe
[12] Getulio Vargas Fdn, Sch Appl Math, Rio De Janeiro, Brazil
[13] Univ Montpellier, Inst Natl Sante & Rech Med, Inst Rech Dev, UMI TransVIHMI, Montpellier, France
[14] Geomatys, Montpellier, France
基金
瑞士国家科学基金会;
关键词
COVID-19; epidemiology; public health; cross-sectional survey; mathematical modelling; MORTALITY;
D O I
10.1136/bmjgh-2021-007295
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
During the first wave of the COVID-19 pandemic, sub-Saharan African countries experienced comparatively lower rates of SARS-CoV-2 infections and related deaths than in other parts of the world, the reasons for which remain unclear. Yet, there was also considerable variation between countries. Here, we explored potential drivers of this variation among 46 of the 47 WHO African region Member States in a cross-sectional study. We described five indicators of early COVID-19 spread and severity for each country as of 29 November 2020: delay in detection of the first case, length of the early epidemic growth period, cumulative and peak attack rates and crude case fatality ratio (CFR). We tested the influence of 13 pre-pandemic and pandemic response predictor variables on the country-level variation in the spread and severity indicators using multivariate statistics and regression analysis. We found that wealthier African countries, with larger tourism industries and older populations, had higher peak (p<0.001) and cumulative (p<0.001) attack rates, and lower CFRs (p=0.021). More urbanised countries also had higher attack rates (p<0.001 for both indicators). Countries applying more stringent early control policies experienced greater delay in detection of the first case (p<0.001), but the initial propagation of the virus was slower in relatively wealthy, touristic African countries (p=0.023). Careful and early implementation of strict government policies were likely pivotal to delaying the initial phase of the pandemic, but did not have much impact on other indicators of spread and severity. An over-reliance on disruptive containment measures in more resource-limited contexts is neither effective nor sustainable. We thus urge decision-makers to prioritise the reduction of resource-based health disparities, and surveillance and response capacities in particular, to ensure global resilience against future threats to public health and economic stability.
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页数:10
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