Leveraging human resources for outbreak analysis: lessons from an international collaboration to support the sub-Saharan African COVID-19 response.

Emerging infectious diseases are a growing threat in sub-Saharan African countries, but the human and technical capacity to quickly respond to outbreaks remains limited. Here, we describe the experience and lessons learned from a joint project with the WHO Regional Office for Africa (WHO AFRO) to support the sub-Saharan African COVID-19 response.In June 2020, WHO AFRO contracted a number of consultants to reinforce the COVID-19 response in member states by providing actionable epidemiological analysis. Given the urgency of the situation and the magnitude of work required, we recruited a worldwide network of field experts, academics and students in the areas of public health, data science and social science to support the effort. Most analyses were performed on a merged line list of COVID-19 cases using a reverse engineering model (line listing built using data extracted from national situation reports shared by countries with the Regional Office for Africa as per the IHR (2005) obligations). The data analysis platform The Renku Project ( https://renkulab.io ) provided secure data storage and permitted collaborative coding.Over a period of 6 months, 63 contributors from 32 nations (including 17 African countries) participated in the project. A total of 45 in-depth country-specific epidemiological reports and data quality reports were prepared for 28 countries. Spatial transmission and mortality risk indices were developed for 23 countries. Text and video-based training modules were developed to integrate and mentor new members. The team also began to develop EpiGraph Hub, a web application that automates the generation of reports similar to those we created, and includes more advanced data analyses features (e.g. mathematical models, geospatial analyses) to deliver real-time, actionable results to decision-makers.Within a short period, we implemented a global collaborative approach to health data management and analyses to advance national responses to health emergencies and outbreaks. The interdisciplinary team, the hands-on training and mentoring, and the participation of local researchers were key to the success of this initiative.

Does sex composition of offspring relate to fertility in urban areas? The case of Ouagadougou, Burkina Faso.

With the onset of the demographic transition in sub-Saharan Africa, couples' desired number of children and the sex composition of offspring may become conflicted, with potential effects on future fertility. While intuitively expected, this effect has not been observed in studies in sub-Saharan Africa, where the level of fertility is higher than in other African regions. In this study, the hypothesis of a conflicted situation was examined by assessing the effect of sex composition of offspring on women's intentions regarding additional children and their use of modern contraceptives. A mixed-method analysis was performed using quantitative data regarding 2567 women aged 35-49 years drawn from a 2012 Demtrend retrospective longitudinal population survey, supplemented by qualitative data collected through 23 in-depth interviews of men and women in Ouagadougou. Results showed that the absence of one sex (boy or girl) in the existing offspring was associated with additional demand for children and lower contraceptive use. These results suggest that a desire for a combination of both girls and boys may be the driving factor contributing to larger family size; that is, continued fertility may not be determined by son preference, but rather by overall composition of offspring, when existing children are all girls or all boys. This could explain the stalling of the fertility decline observed in recent years in Ouagadougou.

The RADAR coverage tool: developing a toolkit for rigorous household surveys for reproductive, maternal, newborn, and child health & nutrition indicators.

Population-based intervention coverage data are used to inform the design of projects, programs, and policies and to evaluate their impact. In low- and middle-income countries (LMICs), household surveys are the primary source of coverage data. Many coverage surveys are implemented by organizations with limited experience or resources in population-based data collection. We developed a streamlined survey and set of supporting materials to facilitate rigorous survey design and implementation. The RADAR coverage survey tool aimed to 1) rigorously measure priority reproductive, maternal, newborn, child health & nutrition coverage indicators, and allow for equity and gender analyses; 2) use standard, valid questions, to the extent possible; 3) be as light as possible; 4) be flexible to address users' needs; and 5) be compatible with the Lives Saved Tool for analysis of program impact. Early interactions with stakeholders also highlighted survey planning, implementation, and analysis as challenging areas. We therefore developed a suite of resources to support implementers in these areas. The toolkit was piloted by implementers in Tanzania and in Burkina Faso. Although the toolkit was successfully implemented in these settings and facilitated survey planning and implementation, we found that implementers must still have access to sufficient resources, time, and technical expertise in order to use the tool appropriately. This potentially limits the use of the tool to situations where high-quality surveys or evaluations have been prioritized and adequately resourced.

The effect of partners' education on women's reproductive and maternal health in developing countries.

The effect of partners' education on women's and children's health in developing countries has received relatively little attention to date. This study uses couple data from 37 recent Demographic and Health Surveys fielded in sub-Saharan African and Asian countries to assess the effect of partners' schooling on women's modern contraceptive use, frequency of antenatal care visits, and skilled birth attendance. Using multilevel logistic regressions, the study shows that partners' schooling has strong effects on their spouses' maternal healthcare utilization; especially when partners had secondary or higher levels of schooling. Overall, women whose partners had an above secondary level of education were 32% more likely to use modern contraceptives, 43% more likely to attend at least four antenatal care visits, and 55% more likely to deliver their most recent baby with a health professional, compared to women whose partner had no education, after controlling for individual and community-level covariates. Finally, interacting the partners' years of schooling, we found that an additional year of partners' schooling was 1) positively associated with modern contraceptive use when the women had low educational attainment (substitution effect), but negatively associated when women were better educated, 2) positively and increasingly associated with the frequency of antenatal care visits as women's education increased (multiplicative effect), and 3) positively and significantly associated with skilled birth attendance for less educated women (substitution effect). This study highlights the importance of male education in shaping their wife's health behaviours in developing countries and provides strong impetus for male education beyond primary level (as well as for women), something that has been neglected in past policy discourse.

Fertility Limitation and Child Schooling in Ouagadougou: Selective Fertility or Resource Dilution?

Using original data collected in Ouagadougou, Burkina Faso, this study investigates evidence for the competing theories that fertility reductions increase children's education through either the quantity-quality tradeoff (intentionally choosing smaller families to make greater investments in education and other indicators of child quality) or resource dilution (having more children reduces resources available per child, regardless of intentionality of family size). The results provide evidence for both hypotheses: children having four or fewer siblings were significantly more likely to be enrolled in school if their mothers had intentionally stopped childbearing relative to those whose mothers wanted more children but whose childbearing was limited by subfecundity. The difference between intentional and unintentional family limitation was not significant for parities greater than five. In addition, the relationship between number of siblings and their schooling is negative, regardless of the intentionality of family-size limitation, but the strength of this negative relationship is approximately twice as high among children whose mothers intentionally limited fertility (reflecting both selection and dilution effects) than among children whose mothers were subfecund (reflecting the pure dilution effect).

Fertility decline and child schooling in urban settings of Burkina Faso.

As evidenced in Western rich countries, Asia, and Latin America, lower fertility allows couples to invest more in each of their children's schooling. This postulate is the key rationale of family planning policies in sub-Saharan Africa. Yet, most studies on Africa have found no correlation or even a positive relationship between the number of children in a family and their educational attainment. These mixed results are usually explained by African family solidarity and resource transfers that might reduce pressures on household resources occasioned by many births as well as methodological problems that have afflicted much research on the region. Our study aims to assess the impact of family size on children's schooling in Ouagadougou (capital of Burkina Faso), using a better measure of household budget constraints and taking into account the simultaneity of fertility and schooling decisions. In contrast to most prior studies on sub-Saharan Africa, we find a net negative effect of sibship size on the level of schooling achieved by children--one that grows stronger as they progress through the educational system.