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Does Deforestation Increase Malaria Prevalence? Evidence from Satellite Data and Health Surveys

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  • Sebastian Bauhoff

    (Center for Global Development)

  • Jonah Busch

    (Center for Global Development)

Abstract

Deforestation has been found to increase malaria risk in some settings, while a growing number of studies have found that deforestation increases malaria prevalence in humans, suggesting that in some cases forest conservation might belong in a portfolio of anti-malarial interventions. However, previous studies of deforestation and malaria prevalence were based on a small number of countries and observations, commonly using cross-sectional analyses of less-than-ideal forest data at the aggregate jurisdictional level. In this paper we combine fourteen years of high-resolution satellite data on forest loss with individual-level survey data on malaria in more than 60,000 rural children in 17 countries in Africa, and fever in more than 470,000 rural children in 41 countries in Latin America, Africa, and Asia. Adhering to methods that we pre-specified in a pre-analysis plan, we tested ex-ante hypotheses derived from previous literature. We did not find that deforestation increases malaria prevalence nor that intermediate levels of forest cover have higher malaria prevalence. Our findings differ from most previous empirical studies, which found that deforestation is associated with greater malaria prevalence in other contexts. We speculate that this difference may be because deforestation in Africa is largely driven by the slow expansion of subsistence or smallholder agriculture for domestic use by long-time residents in stable socio-economic settings rather than by rapid clearing for market-driven agricultural exports by new frontier migrants as in Latin America and Asia. Our results imply that at least in Africa anti-malarial efforts should focus on other proven interventions such as bed nets, spraying, and housing improvements. Forest conservation efforts should focus on securing other benefits of forests, including carbon storage, biodiversity habitat, clean water provision, and other goods and services.

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  • Sebastian Bauhoff & Jonah Busch, 2018. "Does Deforestation Increase Malaria Prevalence? Evidence from Satellite Data and Health Surveys," Working Papers 480, Center for Global Development.
  • Handle: RePEc:cgd:wpaper:480
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    Cited by:

    1. William Gonzalez Daza & Renata L. Muylaert & Thadeu Sobral-Souza & Victor Lemes Landeiro, 2023. "Malaria Risk Drivers in the Brazilian Amazon: Land Use—Land Cover Interactions and Biological Diversity," IJERPH, MDPI, vol. 20(15), pages 1-16, August.
    2. Arlindo Ananias Pereira da Silva & Adriano Roberto Franquelino & Paulo Eduardo Teodoro & Rafael Montanari & Glaucia Amorim Faria & Cristóvão Henrique Ribeiro da Silva & Dayane Bortoloto da Silva & Wal, 2022. "The fewer, the better fare: Can the loss of vegetation in the Cerrado drive the increase in dengue fever cases infection?," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-16, January.
    3. Garg, Teevrat, 2019. "Ecosystems and Human Health: The Local Benefits of Forest Cover in Indonesia," IZA Discussion Papers 12683, Institute of Labor Economics (IZA).
    4. Pagel, Jeff, 2022. "A natural resource curse: the unintended effects of gold mining on malaria," LSE Research Online Documents on Economics 115532, London School of Economics and Political Science, LSE Library.
    5. Allen Blackman & Emilio Leguízamo, 2024. "Tree Cover Perforation and Malaria: Evidence from Colombia," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(8), pages 2067-2093, August.
    6. Shilei Liu & Jinlei Qi & Jintao Xu & Yuanyuan Yi & Peng Yin & Maigeng Zhou, 2024. "Forest Mitigates Short-Term Health Risk of Air Pollution: Evidence from China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(8), pages 2163-2204, August.
    7. Chakrabarti, Averi, 2021. "Deforestation and infant mortality: Evidence from Indonesia," Economics & Human Biology, Elsevier, vol. 40(C).
    8. Garg, Teevrat, 2019. "Ecosystems and human health: The local benefits of forest cover in Indonesia," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
    9. Heidi J. Albers & Katherine D. Lee & Jennifer R. Rushlow & Carlos Zambrana-Torrselio, 2020. "Disease Risk from Human–Environment Interactions: Environment and Development Economics for Joint Conservation-Health Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 929-944, August.
    10. Ana Clara Andrade & Luiz Alberto Dolabela Falcão & Magno Augusto Zazá Borges & Marcos Esdras Leite & Mário Marcos do Espírito Santo, 2024. "Are Land Use and Cover Changes and Socioeconomic Factors Associated with the Occurrence of Dengue Fever? A Case Study in Minas Gerais State, Brazil," Resources, MDPI, vol. 13(3), pages 1-18, March.
    11. Chefke, Mihret & Abro, Zewdu & Meskel, Atnafu G. & Kassie, Menale, 2021. "Health-Seeking Behavior of Rural Households, Malaria, and Productivity in Northwestern Ethiopia," 2021 Conference, August 17-31, 2021, Virtual 315877, International Association of Agricultural Economists.
    12. Fuentes Cordoba, Gabriel, 2024. "Deforestation and child health in Cambodia," Economics & Human Biology, Elsevier, vol. 52(C).
    13. Narayan Prasad Nagendra & Gopalakrishnan Narayanamurthy & Roger Moser, 2022. "Satellite big data analytics for ethical decision making in farmer’s insurance claim settlement: minimization of type-I and type-II errors," Annals of Operations Research, Springer, vol. 315(2), pages 1061-1082, August.
    14. Allison Bailey & Paula R. Prist, 2024. "Landscape and Socioeconomic Factors Determine Malaria Incidence in Tropical Forest Countries," IJERPH, MDPI, vol. 21(5), pages 1-21, April.

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    More about this item

    Keywords

    Africa; pre-analysis plan; public health; Sustainable Development Goals;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry

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