Addressing Healthcare Vulnerabilities in Africa (AHCV)
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Browsing Addressing Healthcare Vulnerabilities in Africa (AHCV) by Author "Bassongui, Nassibou"
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- ItemDualism of the Health System in Benin: Collaboration or Competition?(African Economic Research Consortium, 2024-04-09) Alakonon, Calixe Bidossessi; Gbeto, Josette Rosine Aniwuvi; Bassongui, Nassibou; Alinsato, Alastaire SènaLike all countries, Benin faces a growing demand for health services due to population growth and health crises. Estimates from INStAD (National Institute of Statistics and Demography) show that the total population of the Republic of Benin was 11,884,127 inhabitants in 2019, with an annual intercensal increase of 3.5%. Though some improvements have been recorded these last decades, Benin still characterized by high general and specific mortality rates. According to the fifth Demographic and Health Survey in Benin (EDSB-V, 2017/2018), the infant and child mortality rates were 96‰, i.e., approximately one in ten children does not reach their fifth birthday. This is much higher than the rate of 25‰ to be reached in 2030 according to target 3.2 of the SDG3 objective. Additionally, the maternal mortality rate was 391 deaths per 100,000 live births, which is still far from the target of 70 percent thousand live births to be achieved with target 3.1 of the SDG3 goal by 2030 (INSAE and ICF, 2019).
- ItemEffects of COVID-19 on Household Welfare in Benin: A Microsimulation Approach(African Economic Research Consortium, 2024-04-09) Honlonkou, Albert N.; Bassongui, Nassibou; Daraté, Corrine B.Benin recorded the first confirmed case of COVID-19 on March 16, 2020 and the first death was recorded on April 6, 2020. The evolution of the pandemic was characterised by two waves: the first wave started by a rapidly growth of the number of infections and deaths during May to September 2020 before slowing down. The second wave spanned from June to August 2021, where both the number of new cases and deaths increased more than in the first wave. The Benin’s government responses to contain the spread of the pandemic were, but not limited to the closure of land borders, the closure of schools, the prohibition of public gatherings, restrictions on public transportation, the closure of restaurants and bars, systematic wearing of masks and hand disinfection. The COVID-19 testing convenient was made at a cost of 45 USD and the COVID-19 testing or vaccination was mandatory to access all public services on September 13, 2021. All these policy responses to contain the pandemic may have many economic and social implications. We use a microsimulation approach to determine the effects of the pandemic on the households’ income and health expenditures. This policy brief presents the main findings and highlights some lessons for policy.