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Wang P, Rogne T, Warren JL, Asare EO, Akum RA, Toure NE, Ross JS, Chen K. Long-term drought and risk of infant mortality in Africa: A cross-sectional study. PLoS Med 2025; 22:e1004516. [PMID: 39888958 PMCID: PMC11785314 DOI: 10.1371/journal.pmed.1004516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 12/19/2024] [Indexed: 02/02/2025] Open
Abstract
BACKGROUND As extreme events such as drought and flood are projected to increase in frequency and intensity under climate change, there is still large missing evidence on how drought exposure potentially impacts mortality among young children. This study aimed to investigate the association between drought and risk of infant mortality in Africa, a region highly vulnerable to climate change that bears the heaviest share of the global burden. METHODS AND FINDINGS In this cross-sectional study, we obtained data on infant mortality in 34 African countries during 1992-2019 from the Demographic and Health Surveys program. We measured drought by the standardized precipitation evapotranspiration index at a timescale of 24 months and a spatial resolution of 10 × 10 km, which was further dichotomized into mild and severe drought. The association between drought exposure and infant mortality risk was estimated using Cox regression models allowing time-dependent covariates. We further examined whether the association varied for neonatal and post-neonatal mortality and whether there was a delayed association with drought exposure during pregnancy or infancy. The mean (standard deviation) number of months in which children experienced any drought during pregnancy and survival period (from birth through death before 1 year of age) was 4.6 (5.2) and 7.3 (7.4) among cases and non-cases, respectively. Compared to children who did not experience drought, we did not find evidence that any drought exposure was associated with an increased risk of infant mortality (hazard ratio [HR]: 1.02, 95% confidence interval [CI] [1.00, 1.04], p = 0.072). When stratified by drought severity, we found a statistically significant association with severe drought (HR: 1.04; 95% CI [1.01, 1.07], p = 0.015), but no significant association with mild drought (HR: 1.01; 95% CI [0.99, 1.03], p = 0.353), compared to non-exposure to any drought. However, when excluding drought exposure during pregnancy, the association with severe drought was found to be non-significant. In addition, an increased risk of neonatal mortality was associated with severe drought (HR: 1.05; 95% CI [1.01, 1.10], p = 0.019), but not with mild drought (HR: 0.99; 95% CI [0.96, 1.02], p = 0.657). CONCLUSIONS Exposure to long-term severe drought was associated with increased infant mortality risk in Africa. Our findings urge more effective adaptation measures and alleviation strategies against the adverse impact of drought on child health.
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Affiliation(s)
- Pin Wang
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut, United States of America
- Yale Center on Climate Change and Health, Yale School of Public Health, New Haven, Connecticut, United States of America
- Department of Global, Environmental, and Occupational Health, School of Public Health, University of Maryland, College Park, Maryland, United States of America
| | - Tormod Rogne
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, United States of America
- Center for Perinatal, Pediatric and Environmental Epidemiology, Yale School of Public Health, New Haven, Connecticut, United States of America
| | - Joshua L. Warren
- Center for Perinatal, Pediatric and Environmental Epidemiology, Yale School of Public Health, New Haven, Connecticut, United States of America
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, United States of America
- Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America
| | - Ernest O. Asare
- Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America
| | - Robert A. Akum
- Department of Geography, SDD University of Business and Integrated Development Studies, Wa, Ghana
| | - N’datchoh E. Toure
- LASMES, UFR SSMT University Felix Houphouet-Boigny Abidjan-Cocody, Abidjan, Côte d’Ivoire
| | - Joseph S. Ross
- Section for General Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, United States of America
- Center for Outcomes Research and Evaluation, Yale-New Haven Health System, New Haven, Connecticut, United States of America
| | - Kai Chen
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut, United States of America
- Yale Center on Climate Change and Health, Yale School of Public Health, New Haven, Connecticut, United States of America
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Nguyen CV, Nguyen MH, Nguyen TT. The impact of cold waves and heat waves on mortality: Evidence from a lower middle-income country. HEALTH ECONOMICS 2023; 32:1220-1243. [PMID: 36810920 DOI: 10.1002/hec.4663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 01/31/2023] [Accepted: 02/01/2023] [Indexed: 05/04/2023]
Abstract
We estimate the impact of temperature extremes on mortality in Vietnam, using daily data on temperatures and monthly data on mortality during the 2000-2018 period. We find that both cold and heat waves cause higher mortality, particularly among older people and those living in the hot regions in Southern Vietnam. This effect on mortality tends to be smaller in provinces with higher rates of air-conditioning and emigration, and provinces with higher public spending on health. Finally, we estimate economic cost of cold and heat waves using a framework of willingness to pay to avoid deaths, then project the cost to the year 2100 under different Representative Concentration Pathway scenarios.
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Affiliation(s)
- Cuong Viet Nguyen
- International School, Vietnam National University, Hanoi, Vietnam
- Mekong Development Research Institute (MDRI), Hanoi, Vietnam
| | - Manh-Hung Nguyen
- Toulouse School of Economics, INRAE, University of Toulouse Capitole, Toulouse, France
| | - Toan Truong Nguyen
- Crawford School of Public Policy, Australian National University, Canberra, Australian Capital Territory, Australia
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Liao H, Zhang C, Burke PJ, Li R, Wei YM. Extreme temperatures, mortality, and adaptation: Evidence from the county level in China. HEALTH ECONOMICS 2023; 32:953-969. [PMID: 36639879 DOI: 10.1002/hec.4649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 10/11/2022] [Accepted: 12/22/2022] [Indexed: 06/17/2023]
Abstract
Extreme temperatures are known to cause adverse health outcomes. Yet knowledge on the magnitude of this effect in developing countries is limited due to data availability and reliability issues. Collecting data for 2872 counties in China, we estimate the effects of daily temperatures on the monthly mortality rate. The results indicate that an additional day for which the maximum temperature is 38°C or above on average increases the monthly mortality rate by about 1.7% relative to if that day's maximum temperature had been in the range 16-21°C. This is after deducting deaths harvested from the subsequent month. Higher gross domestic product per capita at the county level is associated with lower mortality effects of hot and cold days. Improved dwelling conditions are found to be associated with a lower mortality effect of hot days and improved local healthcare infrastructure to be associated with a lower mortality effect of cold days. In the absence of strong adaptation efforts, the estimates suggest net upward pressure on annual mortality rates over coming decades in many populous counties, especially under more extreme climate change scenarios.
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Affiliation(s)
- Hua Liao
- School of Management and Economics, Beijing Institute of Technology, Beijing, China
- Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, China
- Beijing Key Laboratory of Energy Economics and Environmental Management, Beijing, China
| | - Chen Zhang
- School of Management and Economics, Beijing Institute of Technology, Beijing, China
- Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, China
- Chengdu Library and Information Center, Chinese Academy of Science, Chengdu, China
| | - Paul J Burke
- Crawford School of Public Policy, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Ru Li
- School of Management and Economics, Beijing Institute of Technology, Beijing, China
- Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, China
- Business School, Chengdu University of Technology, Chengdu, China
| | - Yi-Ming Wei
- School of Management and Economics, Beijing Institute of Technology, Beijing, China
- Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, China
- Beijing Key Laboratory of Energy Economics and Environmental Management, Beijing, China
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Wichmann B, Wichmann R. COVID-19 and Indigenous health in the Brazilian Amazon. ECONOMIC MODELLING 2022; 115:105962. [PMID: 35874451 PMCID: PMC9290384 DOI: 10.1016/j.econmod.2022.105962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 06/07/2022] [Accepted: 07/10/2022] [Indexed: 06/15/2023]
Abstract
We test whether the COVID-19 pandemic has an ethnicity-differentiated (Indigenous vs non-Indigenous) effect on infant health in the Brazilian Amazon. Using vital statistics data we find that Indigenous infants born during the pandemic are 0.5% more likely to have very low birth weights. Access to health care contributes to health gaps. Thirteen percent of mothers travel to deliver their babies. For traveling mothers, having an Indigenous baby during the pandemic increases the probability of very low birth weight by 3%. Indigenous mothers are 7.5% less likely to receive adequate prenatal care. Mothers that travel long distances to deliver their babies and give birth during the pandemic are 35% less likely to receive proper prenatal care. We also find evidence that the pandemic shifts medical resources from rural to urban areas, which disproportionately benefits non-Indigenous mothers. These results highlight the need for policies to reduce health inequalities in the Amazon.
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Affiliation(s)
- Bruno Wichmann
- Department of Resource Economics & Environmental Sociology, College of Natural and Applied Sciences, University of Alberta, 503 General Services Building, Edmonton, AB T6G-2H1, Canada
| | - Roberta Wichmann
- Brazilian Institute of Education, Development and Research - IDP, Economics Graduate Program, SGAS Quadra 607, Modulo 49, Via L2 Sul, Brasilia, DF CEP 70.200-670, Brazil
- World Bank, SCES Trecho 03, Lote 05, Ed. Polo 8, S/N, Brasilia, DF CEP 70200-003, Brazil
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Ponnusamy S. Rainfall shocks, child mortality, and water infrastructure. HEALTH ECONOMICS 2022; 31:1317-1338. [PMID: 35388563 DOI: 10.1002/hec.4498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Revised: 02/22/2022] [Accepted: 02/22/2022] [Indexed: 06/14/2023]
Abstract
I study the effect of rainfall shocks on child mortality at a sub-national level for a global set of developing countries. I establish that negative (positive) shocks to rainfall lead to an increase (drop) in child deaths overall. Low-income countries (LICs) and the group of countries reliant on agriculture are affected the most due to negative rainfall shocks. In LICs, the impact of negative rainfall shocks is mitigated by around 60% in districts located downstream to dams, an effect predominant among less affluent districts; in addition, the effect of rainfall fluctuations is persistent, lasting for up to three years following the shock. Results remain robust to the inclusion of relevant controls, to the consideration of relevant issues such as selective fertility and migration, and various other robustness tests.
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Affiliation(s)
- Sundar Ponnusamy
- Centre for Health Economics, Monash University, Caulfield East, Victoria, Australia
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