The first year of the COVID-19 pandemic in the ECOWAS region.

Objective: to analyse the pandemic after one year in terms of the evolution of morbidity and mortality and factors that may contribute to this evolution. Design: This is a secondary analysis of data gathered to respond to the COVID-19 pandemic. The number of cases, incidence rate, cumulative incidence rate, number of deaths, case fatality rate and their trends were analysed during the first year of the pandemic. Testing and other public health measures were also described according to the information available. Settings: The 15 States members of the Economic Community of West African States (ECOWAS) were considered. Results: As of 31st March 2021, the ECOWAS region reported 429,760 COVID-19 cases and 5,620 deaths. In the first year, 1,110.75 persons were infected per million, while 1.31% of the confirmed patients died. The ECOWAS region represents 30% of the African population. One year after the start of COVID-19 in ECOWAS, this region reported 10% of the cases and 10% of the deaths in the continent. Cumulatively, the region has had two major epidemic waves; however, countries show different patterns. The case fatality rate presented a fast growth in the first months and then decreased to a plateau. Conclusion: We learn that the context of COVID-19 is specific to each country. This analysis shows the importance of better understanding each country's response. During this first year of the pandemic, the problem of variants of concern and the vaccination were not posed. Funding: The study was funded by the International Development Research Centre (IDRC) under CATALYSE project.

The first year of the COVID-19 pandemic in the ECOWAS region

Objective: to analyse the pandemic after one year in terms of the evolution of morbidity and mortality and factors that may contribute to this evolution Design: This is a secondary analysis of data gathered to respond to the COVID-19 pandemic. The number of cases, incidence rate, cumulative incidence rate, number of deaths, case fatality rate and their trends were analysed during the first year of the pandemic. Testing and other public health measures were also described according to the information available. Settings: The 15 States members of the Economic Community of West African States (ECOWAS) were considered. Results: As of 31st March 2021, the ECOWAS region reported 429,760 COVID-19 cases and 5,620 deaths. In the first year, 1,110.75 persons were infected per million, while 1.31% of the confirmed patients died. The ECOWAS region represents 30% of the African population. One year after the start of COVID-19 in ECOWAS, this region reported 10% of the cases and 10% of the deaths in the continent. Cumulatively, the region has had two major epidemic waves; however, countries show different patterns. The case fatality rate presented a fast growth in the first months and then decreased to a plateau. Conclusion: We learn that the context of COVID-19 is specific to each country. This analysis shows the importance of better understanding each country's response. During this first year of the pandemic, the problem of variants of concern and the vaccination were not posed.

Experience in fostering regional collaboration and Coordination to use data for battling infectious diseases in sub-Saharan Africa.

The emergence of COVID-19 highlights globalisation realties, where diseases may emerge from anywhere and rapidly spread globally. Lessons emphasise the necessity for strengthening regional and global collaboration and coordination to allow rapid risk identification, resource mobilisation and joint actions. We report the experience of the Regional Action through Data (RAD) partnership in fostering regional cooperation and collaboration to use data for battling infectious diseases and the effects of COVID-19. The Partnership comprised;BoadReach company, The West African Health Organization (WAHO) and the Intergovernmental Authority on Development (IGAD); Duke University Global Health Centre and the Jembi Health Systems, South Africa. MAIN OBJECTIVE: To address the problem of limited used of data to drive performance in healthcare service delivery in sub-Saharan Africa; by changing how and why data is collected, analysed, and then used to achieve results. SPECIFIC OBJECTIVES: 1. Regional level: To equip and empower IGAD and WAHO with evidence-based analytics to drive data use for evidence-based policy and program action in public health (regional level). 2. Patient-provider level: To deploy and implement a digital health solution for child-hood vaccination services focused on mobile cross-border populations along the Uganda-Kenya border.Engagement approaches used included; meetings, workshops, technical working groups, establishing monitoring system and annual implementation revision. Targeted training and capacity building were conducted. All activities were built on existing systems and structures to strengthen ownership and sustainability. REGIONAL LEVEL ACHIEVEMENTS: 1. Regional health data sharing and protection policy, 2. Strengthened regional health information platform. Patient provider level: Deployment of a cloud based digital health solution to enhance childhood access to vaccination services for cross border populations of Kenya and Uganda, 3. Both regions developed resource mobilisation plans for sustainability.RAD established the foundation for building trust and strengthening regional collaboration and coordination in health in Sub-Saharan Africa.

Trends and inequalities in the nutritional status of adolescent girls and adult women in sub-Saharan Africa since 2000: a cross-sectional series study.

INTRODUCTION: Evidence on the rate at which the double burden of malnutrition unfolds is limited. We quantified trends and inequalities in the nutritional status of adolescent girls and adult women in sub-Saharan Africa. METHODS: We analysed 102 Demographic and Health Surveys between 1993 and 2017 from 35 countries. We assessed regional trends through cross-sectional series analyses and ran multilevel linear regression models to estimate the average annual rate of change (AARC) in the prevalence of underweight, anaemia, anaemia during pregnancy, overweight and obesity among women by their age, residence, wealth and education levels. We quantified current absolute inequalities in these indicators and wealth-inequality trends. RESULTS: There was a modest decline in underweight prevalence (AARC=-0.14 percentage points (pp), 95% CI -0.17 to -0.11). Anaemia declined fastest among adult women and the richest pregnant women with an AARC of -0.67 pp (95% CI -1.06 to -0.28) and -0.97 pp (95% CI -1.60 to -0.34), respectively, although it affects all women with no marked disparities. Overweight is increasing rapidly among adult women and women with no education. Capital city residents had a threefold more rapid rise in obesity (AARC=0.47 pp, 95% CI 0.39, 0.55), compared with their rural counterparts. Absolute inequalities suggest that Ethiopia and South Africa have the largest gap in underweight (15.4 pp) and obesity (28.5 pp) respectively, between adult and adolescent women. Regional wealth inequalities in obesity are widening by 0.34 pp annually. CONCLUSION: Underweight persists, while overweight and obesity are rising among adult women, the rich and capital city residents. Adolescent girls do not present adverse nutritional outcomes except anaemia, remaining high among all women. Multifaceted responses with an equity lens are needed to ensure no woman is left behind.

Wealth-related inequalities in the coverage of reproductive, maternal, newborn and child health interventions in 36 countries in the African Region.

OBJECTIVE: To investigate whether sub-Saharan African countries have succeeded in reducing wealth-related inequalities in the coverage of reproductive, maternal, newborn and child health interventions. METHODS: We analysed survey data from 36 countries, grouped into Central, East, Southern and West Africa subregions, in which at least two surveys had been conducted since 1995. We calculated the composite coverage index, a function of essential maternal and child health intervention parameters. We adopted the wealth index, divided into quintiles from poorest to wealthiest, to investigate wealth-related inequalities in coverage. We quantified trends with time by calculating average annual change in index using a least-squares weighted regression. We calculated population attributable risk to measure the contribution of wealth to the coverage index. FINDINGS: We noted large differences between the four regions, with a median composite coverage index ranging from 50.8% for West Africa to 75.3% for Southern Africa. Wealth-related inequalities were prevalent in all subregions, and were highest for West Africa and lowest for Southern Africa. Absolute income was not a predictor of coverage, as we observed a higher coverage in Southern (around 70%) compared with Central and West (around 40%) subregions for the same income. Wealth-related inequalities in coverage were reduced by the greatest amount in Southern Africa, and we found no evidence of inequality reduction in Central Africa. CONCLUSION: Our data show that most countries in sub-Saharan Africa have succeeded in reducing wealth-related inequalities in the coverage of essential health services, even in the presence of conflict, economic hardship or political instability.

Large and persistent subnational inequalities in reproductive, maternal, newborn and child health intervention coverage in sub-Saharan Africa.

Subnational inequalities have received limited attention in the monitoring of progress towards national and global health targets during the past two decades. Yet, such data are often a critical basis for health planning and monitoring in countries, in support of efforts to reach all with essential interventions. Household surveys provide a rich basis for interventions coverage indicators on reproductive, maternal, newborn and child health (RMNCH) at the country first administrative level (regions or provinces). In this paper, we show the large subnational inequalities that exist in RMNCH coverage within 39 countries in sub-Saharan Africa, using a composite coverage index which has been used extensively by Countdown to 2030 for Women's, Children's and Adolescent's Health. The analyses show the wide range of subnational inequality patterns such as low overall national coverage with very large top inequality involving the capital city, intermediate national coverage with bottom inequality in disadvantaged regions, and high coverage in all regions with little inequality. Even though nearly half of the 34 countries with surveys around 2004 and again around 2015 appear to have been successful in reducing subnational inequalities in RMNCH coverage, the general picture shows persistence of large inequalities between subnational units within many countries. Poor governance and conflict settings were identified as potential contributing factors. Major efforts to reduce within-country inequalities are required to reach all women and children with essential interventions.

Determinantes das diferenças de mortalidade infantil entre as etnias da Guiné-Bissau, 1990-1995 / Decisive of the differences of infantile mortality among the ethnics groups of Guiné-Bissau

A Guiné-Bissau fica situada na costa ocidental da Africa. Sua populaçao de pouco mais de um milhao de habitantes conta com cerca de trinta grupos étnicos, distribuídos em oito regioes administrativas. O país é um dos mais pobres do mundo e atravessa graves problemas de saúde. A mortalidade infantil, estimada em 1996, situa-se por volta dos 145/1.000 nascidos vivos. Descreve os determinantes das diferenças de mortalidade por etnias e regioes entre os fatores demográficos-maternos, fatores socioculturais e econômicos e fatores de uso dos serviços de saúde, de modo a permitir a adoçao de medidas e estratégias adequadas a cada etnia, as quais visam diminuir a mortalidade infantil. Maior destaque é dado aos fatores de uso dos serviços de saúde. De fato, o uso dos serviços de saúde -representado por consultas pré-natais, local de parto e cobertura vacinal de BCG e anti-sarampo- é o principal determinante das diferenciaçoes dos níveis de mortalidade infantil entre as principais etnias e regioes do país.