Spatial and temporal distribution of infectious disease epidemics, disasters and other potential public health emergencies in the World Health Organisation Africa region, 2016-2018

被引:61
作者
Talisuna, Ambrose Otau [1 ]
Okiro, Emelda Aluoch [2 ]
Yahaya, Ali Ahmed [1 ]
Stephen, Mary [1 ]
Bonkoungou, Boukare [1 ]
Musa, Emmanuel Onuche [1 ]
Minkoulou, Etienne Magloire [1 ]
Okeibunor, Joseph [1 ]
Impouma, Benido [1 ]
Djingarey, Haruna Mamoudou [1 ]
Yao, N'da Konan Michel [1 ]
Oka, Sakuya [1 ]
Yoti, Zabulon [1 ]
Fall, Ibrahima Soce [3 ]
机构
[1] World Hlth Org, Reg Off Africa, Hlth Emergencies Programme, Brazzaville, Rep Congo
[2] Kenya Govt Med Res Ctr, Wellcome Trust Res Programme, Populat Hlth Unit, POB 43640-00100, Nairobi, Kenya
[3] World Hlth Org, Emergency Response Dept, Hlth Emergencies Programme, Geneva, Switzerland
基金
欧洲研究理事会; 英国惠康基金;
关键词
African region; Disaster; Epidemic; Event; International health regulations; Public health emergency; Public health emergency of international concern; World Health Organisation; EBOLA; VIRUS; OUTBREAKS; SYSTEM; RISK;
D O I
10.1186/s12992-019-0540-4
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background Emerging and re-emerging diseases with pandemic potential continue to challenge fragile health systems in Africa, creating enormous human and economic toll. To provide evidence for the investment case for public health emergency preparedness, we analysed the spatial and temporal distribution of epidemics, disasters and other potential public health emergencies in the WHO African region between 2016 and 2018. Methods We abstracted data from several sources, including: the WHO African Region's weekly bulletins on epidemics and emergencies, the WHO-Disease Outbreak News (DON) and the Emergency Events Database (EM-DAT) of the Centre for Research on the Epidemiology of Disasters (CRED). Other sources were: the Program for Monitoring Emerging Diseases (ProMED) and the Global Infectious Disease and Epidemiology Network (GIDEON). We included information on the time and location of the event, the number of cases and deaths and counter-checked the different data sources. Data analysis We used bubble plots for temporal analysis and generated graphs and maps showing the frequency and distribution of each event. Based on the frequency of events, we categorised countries into three: Tier 1, 10 or more events, Tier 2, 5-9 events, and Tier 3, less than 5 or no event. Finally, we compared the event frequencies to a summary International Health Regulations (IHR) index generated from the IHR technical area scores of the 2018 annual reports. Results Over 260 events were identified between 2016 and 2018. Forty-one countries (87%) had at least one epidemic between 2016 and 2018, and 21 of them (45%) had at least one epidemic annually. Twenty-two countries (47%) had disasters/humanitarian crises. Seven countries (the epicentres) experienced over 10 events and all of them had limited or developing IHR capacities. The top five causes of epidemics were: Cholera, Measles, Viral Haemorrhagic Diseases, Malaria and Meningitis. Conclusions The frequent and widespread occurrence of epidemics and disasters in Africa is a clarion call for investing in preparedness. While strengthening preparedness should be guided by global frameworks, it is the responsibility of each government to finance country specific needs. We call upon all African countries to establish governance and predictable financing mechanisms for IHR implementation and to build resilient health systems everywhere.
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