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

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.

Exposure over the life course to an urban environment and its relation with obesity, diabetes, and hypertension in rural and urban Cameroon.

BACKGROUND: This study aimed to assess the association between lifetime exposure to urban environment (EU) and obesity, diabetes, and hypertension in an adult population of Sub-Saharan Africa. METHODS: We studied 999 women and 727 men aged > or =25 years. They represent all the adults aged > or =25 years living in households randomly selected from a rural and an urban community of Cameroon with a 98% and 96% participation rate respectively. Height, weight, blood pressure, and fasting blood glucose were measured in all subjects. Current levels of physical activity (in metabolic equivalents [MET]) were evaluated through the Sub-Saharan African Activity Questionnaire. Chronological data on lifetime migration were collected retrospectively and expressed as the total (EUt) or percentage (EU%) of lifetime exposure to urban environment. RESULTS: Lifetime EUt was associated with body mass index (BMI) (r = 0.42; P < 0.0001), fasting glycaemia (r = 0.23; P < 0.0001), and blood pressure (r = 0.17; P < 0.0001) but not with age. The subjects who recently settled in a city (< or =2 years) had higher BMI (+2.9 kg/m(2); P < 0.001), fasting glycaemia (+0.8 mmol/l; P < 0.001), systolic (+23 mmHg; P < 0.001) and diastolic (+9 mmHg; P = 0.001) blood pressure than rural dwellers with a history of 2 years EU. EU during the first 5 years of life was not, on its own, associated with glycaemia or BMI. However, both lifetime EUt and current residence were independently associated with obesity and diabetes. The association between lifetime EUt and hypertension was not independent of current residence and current level of physical activity. CONCLUSIONS: This study suggests that for the study of obesity and diabetes, in addition to current residence, both lifetime exposure to an urban environment and recent migration history should be investigated.

Clinical and epidemiologic trends in HIV/AIDS patients in a hospital setting of Yaoundé, Cameroon: a 6-year perspective.

OBJECTIVES: In order to appreciate the impact of the HIV/AID pandemic in Yaound , Cameroon, an evaluation of the clinical and epidemiologic trends in HIV/AIDS patients was undertaken in a hospital setting. METHODS: A rapid assessment method was used to collect data. Patient record examination, interviews and direct observation were employed. RESULTS: Of 875 cases studied in the hospital during a 6-year period, 43.7% were males and 56.3% females. A total of 5.4% of all the cases were seen in 1993 compared to 30.5% in 1998. The number of admissions per patient ranged from 0 to 4, with a median duration of admission of 14 days (range 0-343 days). The 25-44-year age group was mostly affected (63.4% cases) and 10.1% were in the 0-14-year age group. About 27% of cases died in hospital, mainly between 1996 and 1997. The predominant clinical manifestations included persistent fever and diarrhea, excessive weight loss, chronic cough and profound asthenia. Opportunistic infections and cancers also formed part of the picture. CONCLUSIONS: The increasing clinical and epidemiologic trends of the HIV/AIDS pandemic within the hospital show the devastation and socio-economic impact, especially on the Cameroonian youth and women. Intense public health measures must be put in place to educate and cater for the vulnerable groups in society.