This paper examines the relationship between weather conditions and child nutrition in Ethiopia. We link data from four rounds of the Ethiopia Demographic and Health Survey to high-resolution climate data to measure exposure to rainfall and temperature in utero and during early life. We then estimate a set of multivariate regression models to understand how weather conditions impact child stunting, an indicator of sustained early life undernutrition. We find that greater rainfall during the rainy seasons in early life is associated with greater height for age. In addition, higher temperatures in utero, particularly during the first and third trimesters, and more rainfall during the third trimester, are positively associated with severe stunting, though stunting decreases with temperature in early life. We find potential evidence for a number of pathways underlying the weather-child nutrition relationship including agricultural livelihoods, heat stress, infectious disease transmission, and women's time use during pregnancy. These findings illuminate the complex pathways through which climate change may influence child health and should motivate additional research focused on identifying the causal mechanisms underlying these links.

Migration has long been used as a strategy for livelihood diversification in rural, subsistence communities. Yet in order for migration to effectively serve as a livelihood diversification strategy, it should meet certain conditions: migration should ease financial burdens, should confer access to economically valuable resources and information, and should broaden social networks. Using qualitative data gathered in 25 interviews with rural migrants to Oua-gadougou, Burkina Faso, we examine how mobile phone technology has impacted migration as a livelihood diversification strategy. Our results show that while mobile phones facilitate migration, the advantages conferred may benefit migrants at the expense of the home communities. Mobile phones alleviate financial constraints, enable access to broader networks, and facilitate informational and resource support among migrants. Our results show limited evidence of migrants using mobile phone technology to provide resources or information to the home community. Our results highlight the need to reconsider the ways in which migration can be used as a livelihood diversification strategy in light of changing communication technologies to promote the economic success of both migrants and their home communities.

<p> We present a high-resolution daily temperature data set, CHIRTS-daily, which is derived by merging the monthly Climate Hazards center InfraRed Temperature with Stations climate record with daily temperatures from version 5 of the European Centre for Medium-Range Weather Forecasts Re-Analysis. We demonstrate that remotely sensed temperature estimates may more closely represent true conditions than those that rely on interpolation, especially in regions with sparse <italic>in situ</italic> data. By leveraging remotely sensed infrared temperature observations, CHIRTS-daily provides estimates of 2-meter air temperature for 1983–2016 with a footprint covering 60°S-70°N. We describe this data set and perform a series of validations using station observations from two prominent climate data sources. The validations indicate high levels of accuracy, with CHIRTS-daily correlations with observations ranging from 0.7 to 0.9, and very good representation of heat wave trends. </p>

We analyze fertility preferences among women at risk of pregnancy with children ages five or younger as a function of two food security metrics: perceptions of household hunger and child stunting (height for age z scores ≤ −2.0) in order to convey a robust picture of food insecurity. We use data from the 2016 Tanzania Demographic and Health Surveys to analyze this research question. Multinomial generalized logit models with cluster-adjusted standard errors are used to determine the association between different dimensions of food insecurity and individual-level fertility preferences. On average, women who experience household hunger are 19% less likely to want more children compared to women who do not experience household hunger (AOR: 0.81, p = 0.02) when controlling for education, residence, maternal age, number of living children, and survey month. Adjusting for the same covariates, having at least one child ≤ 5 years old who is stunted is associated with 13% reduced odds of wanting more children compared to having no children stunted (AOR: 0.87, p = 0.06). In the context of a divided literature base, this research aligns with the previous work identifying a preference among women to delay or avoid pregnancy during times of food insecurity. The similarity in magnitude and direction of the association between food insecurity and fertility preferences across the two measures of food insecurity suggest a potential association between lived or perceived resource insecurity and fertility aspirations. Further research is needed in order to establish a mechanism through which food insecurity affects fertility preferences. Individual fertility preferences are sensitive to dynamic multi-level factors in a woman’s life. While qualitative research has explored the effect that food insecurity and associated resource constraints have on fertility preferences, results are conflicting. Here, we quantitatively examine how individual woman’s fertility preferences associate with two measures of food insecurity and qualitatively compare the associations across food insecurity measures. We establish that two food insecurity measures- household hunger and child stunting- capture similar populations and have similar associations with fertility preferences. This is a critical step forward in understanding the dynamic relationship between resource availability, child well-being, and fertility preferences.

Poor pregnancy outcomes include miscarriages, stillbirths, and low birth weights. Stress from heat and lack of resources play a potentially important role in producing these poor outcomes. Women and couples who experience these poor outcomes rather than a healthy birth suffer psychological, physical, social, and financial costs as well. We use detailed reproductive data in combination with fine-scale climate data to examine pregnancy outcomes among women in sub-Saharan Africa, a region that shelters some of the poorest families in the world. Fine-scale precipitation and temperature data allow each pregnancy to be matched to the relevant climate exposures. We investigate the linkages between climate and pregnancy outcomes using linear probability models with fixed effects to minimize confounding due to factors that vary by location, season, and year. We analyze retrospective pregnancy data from more than 65,000 pregnancies recorded in 23 surveys across 15 African countries. Our results indicate that pregnancy outcomes are indeed impacted by exposure to hot days even after considering other individual-level characteristics. This research provides insight into the linkages between climate and a major adverse health outcome faced by women. In doing so, this research expands scientific understanding of the impact of environmental factors on fertility outcomes.

OBJECTIVES To examine an association between climate variability and birth weight in Mali and Kenya in relation to the local agricultural specialization. METHODS We combined health and sociodemographic data from the Demographic Health Surveys for Kenya (2008 and 2014) and Mali (2006 and 2012) with detailed data on precipitation, temperature, and vegetation. We analyzed the association between climate variability and birth weight by using multilevel regression models for the most common agricultural specializations: food cropping, cash cropping, and pastoralism. RESULTS There are differences in sensitivity to climate among different agricultural communities. An additional 100 millimeters of rainfall during the 12-month period before birth was associated with a 47-gram (P = .001) and 89-gram (P = .10) increase in birth weight for food croppers in Kenya and Mali, respectively. Every additional hot month in food-cropping communities in Kenya was associated with a 71-gram decrease in birth weight (P = .030), likely because of food croppers' limited use of modern agricultural techniques. Overall, cash croppers are least sensitive to climate variability in both countries. CONCLUSIONS Effective climate change adaptation strategies are essential for protecting and improving health outcomes and should be tailored to local households' livelihood strategies.

Poor women who live in peri-urban communities are often faced with food insecurity due to seasonal variations in food availability and accessibility. Additionally, in these communities, fertility levels are often elevated despite geographic proximity to urban areas with low cost contraception. We conducted five focus group interviews to investigate the lived experiences of childbearing in peri-urban Ouagadougou, Burkina Faso to understand the behavioral and biological determinants of fertility outcomes. In the analysis of the interviews we pay particular attention to seasonal food insecurity experiences and the biological and behavioral determinants of childbearing. Our results suggest that there are less optimal times of year for childbearing and that poor, peri-urban women adjust their behavior accordingly. The results also suggest that there remain important barriers to contraceptive use even in cases where individuals associate pregnancy and childbearing with physical and psychological risk. This paper provides greater depth in understanding the determinants of fertility in resource-poor, peri-urban communities and points to some barriers for lowering fertility in similar areas.

Considering climate in studies of fertility and reproductive health in poor countries