Adaptation to compound climate risks: A systematic global stocktake.

This article provides a stocktake of the adaptation literature between 2013 and 2019 to better understand how adaptation responses affect risk under the particularly challenging conditions of compound climate events. Across 39 countries, 45 response types to compound hazards display anticipatory (9%), reactive (33%), and maladaptive (41%) characteristics, as well as hard (18%) and soft (68%) limits to adaptation. Low income, food insecurity, and access to institutional resources and finance are the most prominent of 23 vulnerabilities observed to negatively affect responses. Risk for food security, health, livelihoods, and economic outputs are commonly associated risks driving responses. Narrow geographical and sectoral foci of the literature highlight important conceptual, sectoral, and geographic areas for future research to better understand the way responses shape risk. When responses are integrated within climate risk assessment and management, there is greater potential to advance the urgency of response and safeguards for the most vulnerable.

Identifying Predictors for Minimum Dietary Diversity and Minimum Meal Frequency in Children Aged 6-23 Months in Uganda.

Adequate complementary foods contribute to good health and growth in young children. However, many countries are still off-track in achieving critical complementary feeding indicators, such as minimum meal frequency (MMF), minimum dietary diversity (MDD) and minimum acceptable diet (MAD). In this study, we used the 2016 Ugandan Demographic Health Survey (UDHS) data to assess child feeding practices in young children aged 6-23 months. We assess and describe complementary feeding indicators (MMF, MDD and MAD) for Uganda, considering geographic variation. We construct multivariable logistic regression models-stratified by age-to evaluate four theorized predictors of MMF and MDD: health status, vaccination status, household wealth and female empowerment. Our findings show an improvement of complementary feeding practice indicators in Uganda compared to the past, although the MAD threshold was reached by only 22% of children. Children who did not achieve 1 or more complementary feeding indicators are primarily based in the northern regions of Uganda. Cereals and roots were the foods most consumed daily by young children (80%), while eggs were rarely eaten. Consistent with our hypotheses, we found that health status, vaccination status and wealth were significantly positively associated with MDD and MMF, while female empowerment was not. Improving nutrition in infant and young children is a priority. Urgent nutritional policies and acceptable interventions are needed to guarantee nutritious and age-appropriate complementary foods to each Ugandan child in the first years of life.

The Influence of Psychosocial Factors on Hospital Length of Stay Among Aging Canadians.

Background: Hospital stays that are prolonged due to non-clinical factors are costly to health care systems and are likely suboptimal for patient well-being. We assessed the influence of psychosocial factors on hospital length of stay (LOS) for older Canadians in a retrospective cohort study. Data and Methods: Data from the Canadian Community Health Survey were linked with the Discharge Abstract Database. Analyses were stratified by age, 55-64 (n = 1,060) and 65 and older (n = 2,718). Main predictor variables of interest included four measures of social support, sense of belonging, and living alone. Multivariate models of LOS adjusted for age, sex, income, smoking, and frailty. Results: Among the younger respondents, low positive social interactions, low emotional/informational support, and living alone were associated with a longer LOS. Among respondents 65 and older, low affection, low positive social interactions, low emotional/informational support, and a weak sense of belonging were associated with a longer LOS. Discussion: Having low social support is associated with longer hospital stays in this Canadian cohort. Social support may influence LOS as risk factors for poor health and precarious care in the community. Mitigating these risk factors could reduce the economic burden that is played out through longer hospital stays.

Interactions between climate and COVID-19.

In this Personal View, we explain the ways that climatic risks affect the transmission, perception, response, and lived experience of COVID-19. First, temperature, wind, and humidity influence the transmission of COVID-19 in ways not fully understood, although non-climatic factors appear more important than climatic factors in explaining disease transmission. Second, climatic extremes coinciding with COVID-19 have affected disease exposure, increased susceptibility of people to COVID-19, compromised emergency responses, and reduced health system resilience to multiple stresses. Third, long-term climate change and prepandemic vulnerabilities have increased COVID-19 risk for some populations (eg, marginalised communities). The ways climate and COVID-19 interact vary considerably between and within populations and regions, and are affected by dynamic and complex interactions with underlying socioeconomic, political, demographic, and cultural conditions. These conditions can lead to vulnerability, resilience, transformation, or collapse of health systems, communities, and livelihoods throughout varying timescales. It is important that COVID-19 response and recovery measures consider climatic risks, particularly in locations that are susceptible to climate extremes, through integrated planning that includes public health, disaster preparedness, emergency management, sustainable development, and humanitarian response.

Do socio-demographic factors modify the effect of weather on malaria in Kanungu District, Uganda?

BACKGROUND: There is concern in the international community regarding the influence of climate change on weather variables and seasonality that, in part, determine the rates of malaria. This study examined the role of sociodemographic variables in modifying the association between temperature and malaria in Kanungu District (Southwest Uganda). METHODS: Hospital admissions data from Bwindi Community Hospital were combined with meteorological satellite data from 2011 to 2014. Descriptive statistics were used to describe the distribution of malaria admissions by age, sex, and ethnicity (i.e. Bakiga and Indigenous Batwa). To examine how sociodemographic variables modified the association between temperature and malaria admissions, this study used negative binomial regression stratified by age, sex, and ethnicity, and negative binomial regression models that examined interactions between temperature and age, sex, and ethnicity. RESULTS: Malaria admission incidence was 1.99 times greater among Batwa than Bakiga in hot temperature quartiles compared to cooler temperature quartiles, and that 6-12 year old children had a higher magnitude of association of malaria admissions with temperature compared to the reference category of 0-5 years old (IRR = 2.07 (1.40, 3.07)). DISCUSSION: Results indicate that socio-demographic variables may modify the association between temperature and malaria. In some cases, such as age, the weather-malaria association in sub-populations with the highest incidence of malaria in standard models differed from those most sensitive to temperature as found in these stratified models. CONCLUSION: The effect modification approach used herein can be used to improve understanding of how changes in weather resulting from climate change might shift social gradients in health.

Socio-demographic associations with pregnancy loss among Bakiga and Indigenous Batwa women in Southwestern Uganda.

OBJECTIVE: To assess the extent of pregnancy loss (i.e., miscarriage and/or stillbirth) and examine its association with socio-demographic characteristics among Bakiga and Indigenous Batwa women in Kanungu District, southwest Uganda. METHODS: As part of a larger community-based, participatory project, a retrospective survey of maternal health histories was conducted in ten Batwa and ten Bakiga communities (n = 555 participants) collecting data on self-reported pregnancy loss (i.e., miscarriage and stillbirth) and socio-demographic characteristics. Socio-demographic associations with pregnancy loss (i.e., total miscarriages and stillbirths) were examined using multivariable Poisson and negative binomial regression. RESULTS: Batwa women experienced pregnancy loss more commonly than Bakiga women did (149.8/1000 vs. 96.3/1000 pregnancies). In the final adjusted model for Batwa women, being in the middle (RR 1.92; CI: 1.21-3.07) and highest (RR 1.79; CI: 1.14-2.82) wealth tertiles (compared to lowest wealth tertile) and living in Community X (RR 4.33; CI 2.27-8.28) (compared to all other communities) were associated with increased pregnancy loss. For Bakiga women, the proportion of pregnancy loss was higher for those who reported drinking alcohol during pregnancy (RR: 1.54; CI: 1.04-2.13) and being food insecure (RR 1.39; CI: 1.02-1.91). CONCLUSION: The proportion of, and the socio-demographic associations with, pregnancy loss differed for Bakiga and Indigenous Batwa women. These differences underscore the importance of collecting Indigenous health data to understand not only the extent of, but also the varied contextual circumstances that are associated with pregnancy loss. This nuanced and stratified information is critical for planning meaningful health programming to reduce pregnancy loss for Indigenous women.

Antenatal Care Research in East Africa During the Millennium Development Goals Initiative: A Scoping Review.

INTRODUCTION: The global burden of maternal mortality remains high and inequitably distributed between countries. Antenatal care (ANC) was identified as critical component in achieving the Millennium Development Goal of improving maternal health. This scoping review aimed to summarize trends and critically explore research about ANC attendance for East African women conducted during the Millennium Development Goals initiative, with a specific focus on barriers to ANC access. METHODS: Using a scoping review methodology, aggregator databases were searched for relevant articles. Articles were screened by independent reviewers using a priori inclusion criteria. Eligible articles were retained for data charting and analysis. RESULTS: Following screening, 211 articles were analyzed. The number of relevant articles increased over time; utilized primarily quantitative methods; and involved authors with affiliations from various African countries. Many interrelated physical, social, and cultural factors influenced women's seeking, reaching, and receiving of quality ANC. The extent of studies identified suggest that ANC is a priority research area, yet key gaps in the literature exist. Limited qualitative research, and few articles examining ANC experiences of women from vulnerable groups (e.g. adolescents, women with a disability, and Indigenous women) were identified. DISCUSSION: These context-specific findings are important considering the Sustainable Development Goals aim to nearly triple the maternal mortality reductions by 2030. In order to achieve this goal, interventions should focus on improving the quality of ANC care and patient-provider interactions. Furthermore, additional qualitative research examining vulnerable populations of women and exploring the inclusion of men in ANC would help inform interventions intended to improve ANC attendance in East Africa.

'We don't use the same ways to treat the illness:' A qualitative study of heterogeneity in health-seeking behaviour for acute gastrointestinal illness among the Ugandan Batwa.

The Batwa (Twa), an Indigenous People of southwest Uganda, were evicted from their ancestral forest lands in 1991 due to establishment of the Bwindi Impenetrable Forest. This land dispossession forced Batwa to transition from a semi-nomadic, hunting-gathering livelihood to an agricultural livelihood; eliminated access to Indigenous food, medicines, and shelter; and shifted their healthcare options. Therefore, this exploratory study investigated why Batwa choose Indigenous or biomedical treatment, or no treatment, when experiencing acute gastrointestinal illness. Ten gender-stratified focus groups were conducted in five Batwa settlements in Kanungu District, Uganda (n = 63 participants), alongside eleven semi-structured interviews (2014). Qualitative data were analysed thematically, using a constant comparative method. Batwa emphasised that health-seeking behaviour for acute gastrointestinal illness was diverse: some Batwa used only Indigenous or biomedical healthcare, while others preferred a combination, or no healthcare. Physical and economic access to care, and also perceived efficacy and quality of care, influenced their healthcare decisions. This study provides insight into the Kanungu District Batwa's perceptions of biomedical and Indigenous healthcare, and barriers they experience to accessing either. This study is intended to inform public health interventions to reduce their burden of acute gastrointestinal illness and ensure adequate healthcare, biomedical or Indigenous, for Batwa.

Are Indigenous research principles incorporated into maternal health research? A scoping review of the global literature.

BACKGROUND: Indigenous women world-wide are diverse and heterogenous, yet many have similar experiences of colonization, land dispossession, and discrimination. These experiences along with inequitable access to, and quality of, maternal healthcare increase adverse maternal health outcomes. To improve health outcomes for Indigenous women, studies must be conducted with Indigenous involvement and reflect Indigenous research principles. Objectives/Aim: The aim of this review was to explore the range, extent, and nature of Indigenous maternal health research and to assess the reporting of Indigenous research principles in the global Indigenous maternal health literature. METHODS: Following a systematic scoping review protocol, four scholarly electronic databases were searched. Articles were included if they reported empirical research published between 2000 and 2019 and had a focus on Indigenous maternal health. Descriptive data were extracted from relevant articles and descriptive analysis was conducted. Included articles were also assessed for reporting of Indigenous research principles, including Indigenous involvement, context of colonization, Indigenous conceptualizations of health, community benefits, knowledge dissemination to participants or communities, and policy or intervention recommendations. RESULTS: Four-hundred and forty-one articles met the inclusion criteria. While studies were conducted in all continents except Antarctica, less than 3% of articles described research in low-income countries. The most researched topics were access to and quality of maternity care (25%), pregnancy outcome and/or complications (18%), and smoking, alcohol and/or drug use during pregnancy (14%). The most common study design was cross-sectional (49%), and the majority of articles used quantitative methods only (68%). Less than 2% of articles described or reported all Indigenous research principles, and 71% of articles did not report on Indigenous People's involvement. CONCLUSIONS: By summarizing the trends in published literature on Indigenous maternal health, we highlight the need for increased geographic representation of Indigenous women, expansion of research to include important but under-researched topics, and meaningful involvement of Indigenous Peoples.

Socio-economic and environmental factors affecting breastfeeding and complementary feeding practices among Batwa and Bakiga communities in south-western Uganda.

Improving breastfeeding and complementary feeding practices is needed to support good health, enhance child growth, and reduce child mortality. Limited evidence is available on child feeding among Indigenous communities and in the context of environmental changes. We investigate past and present breastfeeding and complementary feeding practices within Indigenous Batwa and neighbouring Bakiga populations in south-western Uganda. Specifically, we describe the demographic and socio-economic characteristics of breastfeeding mothers and their children, and individual experiences of breastfeeding and complementary feeding practices. We investigate the factors that have an impact on breastfeeding and complementary feeding at community and societal levels, and we analysed how environments, including weather variability, affect breastfeeding and complementary feeding practices. We applied a mixed-method design to the study, and we used a community-based research approach. We conducted 94 individual interviews (n = 47 Batwa mothers/caregivers & n = 47 Bakiga mothers/caregivers) and 12 focus group discussions (n = 6 among Batwa & n = 6 among Bakiga communities) from July to October 2019. Ninety-nine per cent of mothers reported that their youngest child was currently breastfed. All mothers noted that the child experienced at least one episode of illness that had an impact on breastfeeding. From the focus groups, we identified four key factors affecting breastfeeding and nutrition practices: marginalisation and poverty; environmental change; lack of information; and poor support. Our findings contribute to the field of global public health and nutrition among Indigenous communities, with a focus on women and children. We present recommendations to improve child feeding practices among the Batwa and Bakiga in south-western Uganda. Specifically, we highlight the need to engage with local and national authorities to improve breastfeeding and complementary feeding practices, and work on food security, distribution of lands, and the food environment. Also, we recommend addressing the drivers and consequences of alcoholism, and strengthening family planning programs.

Variations in greenhouse gas emissions of individual diets: Associations between the greenhouse gas emissions and nutrient intake in the United Kingdom.

BACKGROUND: Food production accounts for 30% of global greenhouse gas (GHG) emissions. Less environmentally sustainable diets are also often more processed, energy-dense and nutrient-poor. To date, the environmental impact of diets have mostly been based on a limited number of broad food groups. OBJECTIVES: We link GHG emissions to over 3000 foods, assessing associations between individuals' GHG emissions, their nutrient requirements and their demographic characteristics. We also identify additional information required in dietary assessment to generate more accurate environmental impact data for individual-level diets. METHODS: GHG emissions of individual foods, including process stages prior to retail, were added to the UK Composition Of Foods Integrated Dataset (COFID) composition tables and linked to automated online dietary assessment for 212 adults over three 24-hour periods. Variations in GHG emissions were explored by dietary pattern, demographic characteristics and World Health Organization Recommended Nutrient Intakes (RNIs). RESULTS: GHG emissions estimates were linked to 98% (n = 3233) of food items. Meat explained 32% of diet-related GHG emissions; 15% from drinks; 14% from dairy; and 8% from cakes, biscuits and confectionery. Non-vegetarian diets had GHG emissions 59% (95% CI 18%, 115%) higher than vegetarian. Men had 41% (20%, 64%) higher GHG emissions than women. Individuals meeting RNIs for saturated fats, carbohydrates and sodium had lower GHG emissions compared to those exceeding the RNI. DISCUSSION: Policies encouraging sustainable diets should focus on plant-based diets. Substituting tea, coffee and alcohol with more sustainable alternatives, whilst reducing less nutritious sweet snacks, presents further opportunities. Healthier diets had lower GHG emissions, demonstrating consistency between planetary and personal health. Further detail could be gained from incorporating brand, production methods, post-retail emissions, country of origin, and additional environmental impact indicators.

A Community-Based Approach to Integrating Socio, Cultural and Environmental Contexts in the Development of a Food Database for Indigenous and Rural Populations: The Case of the Batwa and Bakiga in South-Western Uganda.

Comprehensive food lists and databases are a critical input for programs aiming to alleviate undernutrition. However, standard methods for developing them may produce databases that are irrelevant for marginalised groups where nutritional needs are highest. Our study provides a method for identifying critical contextual information required to build relevant food lists for Indigenous populations. For our study, we used mixed-methods study design with a community-based approach. Between July and October 2019, we interviewed 74 participants among Batwa and Bakiga communities in south-western Uganda. We conducted focus groups discussions (FGDs), individual dietary surveys and markets and shops assessment. Locally validated information on foods consumed among Indigenous populations can provide results that differ from foods listed in the national food composition tables; in fact, the construction of food lists is influenced by multiple factors such as food culture and meaning of food, environmental changes, dietary transition, and social context. Without using a community-based approach to understanding socio-environmental contexts, we would have missed 33 commonly consumed recipes and foods, and we would not have known the variety of ingredients' quantity in each recipe, and traditional foraged foods. The food culture, food systems and nutrition of Indigenous and vulnerable communities are unique, and need to be considered when developing food lists.

The effects on public health of climate change adaptation responses: a systematic review of evidence from low- and middle-income countries.

Climate change adaptation responses are being developed and delivered in many parts of the world in the absence of detailed knowledge of their effects on public health. Here we present the results of a systematic review of peer-reviewed literature reporting the effects on health of climate change adaptation responses in low- and middle-income countries (LMICs). The review used the 'Global Adaptation Mapping Initiative' database (comprising 1682 publications related to climate change adaptation responses) that was constructed through systematic literature searches in Scopus, Web of Science and Google Scholar (2013-2020). For this study, further screening was performed to identify studies from LMICs reporting the effects on human health of climate change adaptation responses. Studies were categorised by study design and data were extracted on geographic region, population under investigation, type of adaptation response and reported health effects. The review identified 99 studies (1117 reported outcomes), reporting evidence from 66 LMICs. Only two studies were ex ante formal evaluations of climate change adaptation responses. Papers reported adaptation responses related to flooding, rainfall, drought and extreme heat, predominantly through behaviour change, and infrastructural and technological improvements. Reported (direct and intermediate) health outcomes included reduction in infectious disease incidence, improved access to water/sanitation and improved food security. All-cause mortality was rarely reported, and no papers were identified reporting on maternal and child health. Reported maladaptations were predominantly related to widening of inequalities and unforeseen co-harms. Reporting and publication-bias seems likely with only 3.5% of all 1117 health outcomes reported to be negative. Our review identified some evidence that climate change adaptation responses may have benefits for human health but the overall paucity of evidence is concerning and represents a major missed opportunity for learning. There is an urgent need for greater focus on the funding, design, evaluation and standardised reporting of the effects on health of climate change adaptation responses to enable evidence-based policy action.

Systematic mapping of global research on climate and health: a machine learning review.

BACKGROUND: The global literature on the links between climate change and human health is large, increasing exponentially, and it is no longer feasible to collate and synthesise using traditional systematic evidence mapping approaches. We aimed to use machine learning methods to systematically synthesise an evidence base on climate change and human health. METHODS: We used supervised machine learning and other natural language processing methods (topic modelling and geoparsing) to systematically identify and map the scientific literature on climate change and health published between Jan 1, 2013, and April 9, 2020. Only literature indexed in English were included. We searched Web of Science Core Collection, Scopus, and PubMed using title, abstract, and keywords only. We searched for papers including both a health component and an explicit mention of either climate change, climate variability, or climate change-relevant weather phenomena. We classified relevant publications according to the fields of climate research, climate drivers, health impact, date, and geography. We used supervised and unsupervised machine learning to identify and classify relevant articles in the field of climate and health, with outputs including evidence heat maps, geographical maps, and narrative synthesis of trends in climate health-related publications. We included empirical literature of any study design that reported on health pathways associated with climate impacts, mitigation, or adaptation. FINDINGS: We predict that there are 15 963 studies in the field of climate and health published between 2013 and 2019. Climate health literature is dominated by impact studies, with mitigation and adaptation responses and their co-benefits and co-risks remaining niche topics. Air quality and heat stress are the most frequently studied exposures, with all-cause mortality and infectious disease incidence being the most frequently studied health outcomes. Seasonality, extreme weather events, heat, and weather variability are the most frequently studied climate-related hazards. We found major gaps in evidence on climate health research for mental health, undernutrition, and maternal and child health. Geographically, the evidence base is dominated by studies from high-income countries and China, with scant evidence from low-income counties, which often suffer most from the health consequences of climate change. INTERPRETATION: Our findings show the importance and feasibility of using automated machine learning to comprehensively map the science on climate change and human health in the age of big literature. These can provide key inputs into global climate and health assessments. The scant evidence on climate change response options is concerning and could significantly hamper the design of evidence-based pathways to reduce the effects on health of climate change. In the post-2015 Paris Agreement era of climate solutions, we believe much more attention should be given to climate adaptation and mitigation options and their effects on human health. FUNDING: Foreign, Commonwealth & Development Office.

Factors influencing antenatal care attendance for Bakiga and Indigenous Batwa women in Kanungu District, Southwestern Uganda.

INTRODUCTION: The number of maternal deaths remains high in sub-Saharan Africa. Effective antenatal care (ANC) reduces maternal morbidity and mortality; therefore, provision of improved antenatal care services has been prioritised across sub-Saharan Africa. Yet, research is limited on the ANC experiences of Indigenous women in sub-Saharan Africa. This study characterised ANC attendance patterns at a hospital, and characterised factors influencing attendance among Bakiga and Indigenous Batwa women in Kanungu District, Uganda. METHODS: A community-based, mixed-methods approach was used. Quantitative data were collected from a local hospital (records for 2299 ANC visits) and analysed by using descriptive statistics and multivariable regression analysis. Qualitative data from eight key informant interviews (n=9 healthcare providers) and 16 focus group discussions (n=120 Batwa and Bakiga women) were analysed by thematic analysis. RESULTS: Most ANC patients attended between one and three ANC visits per pregnancy (n=1259; 92.57%), and few attended the recommended four or more visits (n=101; 7.43%). Distance from a woman's home to the hospital was significantly associated with lower ANC attendance (p<0.05, 95% confidence interval 0.01-0.96), after adjusting for maternal age and number of previous pregnancies. The qualitative data revealed that many factors influenced ANC attendance for both Batwa and Bakiga: long distances from the home to a health centre, high direct and indirect costs of ANC, lack of power in household decision-making, and poor interactions with healthcare providers. While the types of barriers were similar among Batwa and Bakiga, some were more pronounced for Indigenous Batwa women. CONCLUSION: This study partnered with and collected in-depth data with Indigenous Peoples who remain underrepresented in the literature. The findings indicated that Indigenous Batwa continue to face unique and more pronounced barriers to accessing ANC in Kanungu District, Uganda. Ensuring access to ANC for these populations requires an in-depth understanding of their experiences within the local healthcare context. To reduce health inequities that Indigenous Peoples experience, policy-makers and healthcare workers need to adequately understand, effectively address, and appropriately prioritise factors influencing ANC attendance.

Developing an online food composition database for an Indigenous population in south-western Uganda.

OBJECTIVE: To develop an online food composition database of locally consumed foods among an Indigenous population in south-western Uganda. DESIGN: Using a community-based approach and collaboration with local nutritionists, we collected a list of foods for inclusion in the database through focus group discussions, an individual dietary survey and markets and shops assessment. The food database was then created using seven steps: identification of foods for inclusion in the database; initial data cleaning and removal of duplicate items; linkage of foods to existing generic food composition tables; mapping and calculation of the nutrient content of recipes and foods; allocating portion sizes and accompanying foods; quality checks with local and international nutritionists; and translation into relevant local languages. SETTING: Kanungu District, south-western Uganda. PARTICIPANTS: Seventy-four participants, 36 Indigenous Batwa and 38 Bakiga, were randomly selected and interviewed to inform the development of a food list prior the construction of the food database. RESULTS: We developed an online food database for south-western Uganda including 148 commonly consumed foods complete with values for 120 micronutrients and macronutrients. This was for use with the online dietary assessment tool myfood24. Of the locally reported foods included, 56 % (n 82 items) of the items were already available in the myfood24 database, while 25 % (n 37 items) were found in existing Ugandan and Tanzanian food databases, 18 % (n 27 items) came from generated recipes and 1 % (n 2 items) from food packaging labels. CONCLUSION: Locally relevant food databases are sparse for African Indigenous communities. Here, we created a tool that can be used for assessing food intake and for tracking undernutrition among the communities living in Kanungu District. This will help to develop locally relevant food and nutrition policies.

Seasonality, climate change, and food security during pregnancy among indigenous and non-indigenous women in rural Uganda: Implications for maternal-infant health.

BACKGROUND: Climate change is expected to decrease food security globally. Many Indigenous communities have heightened sensitivity to climate change and food insecurity for multifactorial reasons including close relationships with the local environment and socioeconomic inequities which increase exposures and challenge adaptation to climate change. Pregnant women have additional sensitivity to food insecurity, as antenatal undernutrition is linked with poor maternal-infant health. This study examined pathways through which climate change influenced food security during pregnancy among Indigenous and non-Indigenous women in rural Uganda. Specific objectives were to characterize: 1) sensitivities to climate-associated declines in food security for pregnant Indigenous women; 2) women's perceptions of climate impacts on food security during pregnancy; and 3) changes in food security and maternal-infant health over time, as observed by women. METHODS: Using a community-based research approach, we conducted eight focus group discussions-four in Indigenous Batwa communities and four in non-Indigenous communities-in Kanungu District, Uganda, on the subject of climate and food security during pregnancy. Thirty-six women with ≥1 pregnancy participated. Data were analysed using a constant comparative method and thematic analysis. RESULTS: Women indicated that food insecurity was common during pregnancy and had a bidirectional relationship with antenatal health issues. Food security was thought to be decreasing due to weather changes including extended droughts and unpredictable seasons harming agriculture. Women linked food insecurity with declines in maternal-infant health over time, despite improved antenatal healthcare. While all communities described food security struggles, the challenges Indigenous women identified and described were more severe. CONCLUSIONS: Programs promoting women's adaptive capacity to climate change are required to improve food security for pregnant women and maternal-infant health. These interventions are particularly needed in Indigenous communities, which often face underlying health inequities. However, resiliency among mothers was strong and, with supports, they can reduce food security challenges in a changing climate.

Mapping global research on climate and health using machine learning (a systematic evidence map).

Climate change is already affecting health in populations around the world, threatening to undermine the past 50 years of global gains in public health. Health is not only affected by climate change via many causal pathways, but also by the emissions that drive climate change and their co-pollutants. Yet there has been relatively limited synthesis of key insights and trends at a global scale across fragmented disciplines. Compounding this, an exponentially increasing literature means that conventional evidence synthesis methods are no longer sufficient or feasible. Here, we outline a protocol using machine learning approaches to systematically synthesize global evidence on the relationship between climate change, climate variability, and weather (CCVW) and human health. We will use supervised machine learning to screen over 300,000 scientific articles, combining terms related to CCVW and human health. Our inclusion criteria comprise articles published between 2013 and 2020 that focus on empirical assessment of: CCVW impacts on human health or health-related outcomes or health systems; relate to the health impacts of mitigation strategies; or focus on adaptation strategies to the health impacts of climate change. We will use supervised machine learning (topic modeling) to categorize included articles as relevant to impacts, mitigation, and/or adaptation, and extract geographical location of studies. Unsupervised machine learning using topic modeling will be used to identify and map key topics in the literature on climate and health, with outputs including evidence heat maps, geographic maps, and narrative synthesis of trends in climate-health publishing. To our knowledge, this will represent the first comprehensive, semi-automated, systematic evidence synthesis of the scientific literature on climate and health.