IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i22p7042-d1276954.html
   My bibliography  Save this article

Differential Influence of Environmental Factors on Malaria Due to Vector Control Interventions in Uganda

Author

Listed:
  • Margaux L. Sadoine

    (Department of Social and Preventive Medicine, School of Public Health, Université de Montréal, Montreal, QC H3N 1X9, Canada
    Center for Public Health Research, Université de Montréal, Montreal, QC H3N 1X9, Canada)

  • Audrey Smargiassi

    (Center for Public Health Research, Université de Montréal, Montreal, QC H3N 1X9, Canada
    Department of Environmental and Occupational Health, School of Public Health, Université de Montréal, Montreal, QC H3T 1A8, Canada)

  • Ying Liu

    (Center for Public Health Research, Université de Montréal, Montreal, QC H3N 1X9, Canada
    Department of Environmental and Occupational Health, School of Public Health, Université de Montréal, Montreal, QC H3T 1A8, Canada)

  • Philippe Gachon

    (ESCER (Étude et Simulation du Climat à l’Échelle Régionale) Centre, Université du Québec à Montréal, Montreal, QC H2L 2C4, Canada)

  • Michel Fournier

    (Montreal Regional Department of Public Health, Montreal, QC H2L 1M3, Canada)

  • Guillaume Dueymes

    (ESCER (Étude et Simulation du Climat à l’Échelle Régionale) Centre, Université du Québec à Montréal, Montreal, QC H2L 2C4, Canada)

  • Jane Frances Namuganga

    (Infectious Diseases Research Collaboration, Kampala P.O. Box 22418, Uganda)

  • Grant Dorsey

    (Department of Medicine, University of California San Francisco, San Francisco, CA 94143, USA)

  • Bouchra Nasri

    (Department of Social and Preventive Medicine, School of Public Health, Université de Montréal, Montreal, QC H3N 1X9, Canada
    Center for Public Health Research, Université de Montréal, Montreal, QC H3N 1X9, Canada)

  • Kate Zinszer

    (Department of Social and Preventive Medicine, School of Public Health, Université de Montréal, Montreal, QC H3N 1X9, Canada
    Center for Public Health Research, Université de Montréal, Montreal, QC H3N 1X9, Canada)

Abstract

Background: Few studies have explored how vector control interventions may modify associations between environmental factors and malaria. Methods: We used weekly malaria cases reported from six public health facilities in Uganda. Environmental variables (temperature, rainfall, humidity, and vegetation) were extracted from remote sensing sources. The non-linearity of environmental variables was investigated, and negative binomial regression models were used to explore the influence of indoor residual spraying (IRS) and long-lasting insecticidal nets (LLINs) on associations between environmental factors and malaria incident cases for each site as well as pooled across the facilities, with or without considering the interaction between environmental variables and vector control interventions. Results: An average of 73.3 weekly malaria cases per site (range: 0–597) occurred between 2010 and 2018. From the pooled model, malaria risk related to environmental variables was reduced by about 35% with LLINs and 63% with IRS. Significant interactions were observed between some environmental variables and vector control interventions. There was site-specific variability in the shape of the environment–malaria risk relationship and in the influence of interventions (6 to 72% reduction in cases with LLINs and 43 to 74% with IRS). Conclusion: The influence of vector control interventions on the malaria–environment relationship need to be considered at a local scale in order to efficiently guide control programs.

Suggested Citation

  • Margaux L. Sadoine & Audrey Smargiassi & Ying Liu & Philippe Gachon & Michel Fournier & Guillaume Dueymes & Jane Frances Namuganga & Grant Dorsey & Bouchra Nasri & Kate Zinszer, 2023. "Differential Influence of Environmental Factors on Malaria Due to Vector Control Interventions in Uganda," IJERPH, MDPI, vol. 20(22), pages 1-13, November.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:22:p:7042-:d:1276954
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/22/7042/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/22/7042/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Simon N. Wood, 2004. "Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 673-686, January.
    2. Gi-geun Yang & Dohyeong Kim & Anh Pham & Christopher John Paul, 2018. "A Meta-Regression Analysis of the Effectiveness of Mosquito Nets for Malaria Control: The Value of Long-Lasting Insecticide Nets," IJERPH, MDPI, vol. 15(3), pages 1-12, March.
    3. Jane F. Namuganga & Adrienne Epstein & Joaniter I. Nankabirwa & Arthur Mpimbaza & Moses Kiggundu & Asadu Sserwanga & James Kapisi & Emmanuel Arinaitwe & Samuel Gonahasa & Jimmy Opigo & Chris Ebong & S, 2021. "The impact of stopping and starting indoor residual spraying on malaria burden in Uganda," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fiaschi, Davide & Lavezzi, Andrea Mario, 2007. "Nonlinear economic growth: Some theory and cross-country evidence," Journal of Development Economics, Elsevier, vol. 84(1), pages 271-290, September.
    2. Alla A. Petukhina & Raphael C. G. Reule & Wolfgang Karl Härdle, 2021. "Rise of the machines? Intraday high-frequency trading patterns of cryptocurrencies," The European Journal of Finance, Taylor & Francis Journals, vol. 27(1-2), pages 8-30, January.
    3. Longhi, Christian & Musolesi, Antonio & Baumont, Catherine, 2014. "Modeling structural change in the European metropolitan areas during the process of economic integration," Economic Modelling, Elsevier, vol. 37(C), pages 395-407.
    4. Strasak, Alexander M. & Umlauf, Nikolaus & Pfeiffer, Ruth M. & Lang, Stefan, 2011. "Comparing penalized splines and fractional polynomials for flexible modelling of the effects of continuous predictor variables," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1540-1551, April.
    5. Daniel Melser & Robert J. Hill, 2019. "Residential Real Estate, Risk, Return and Diversification: Some Empirical Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 59(1), pages 111-146, July.
    6. Adam R. Pines & Bart Larsen & Zaixu Cui & Valerie J. Sydnor & Maxwell A. Bertolero & Azeez Adebimpe & Aaron F. Alexander-Bloch & Christos Davatzikos & Damien A. Fair & Ruben C. Gur & Raquel E. Gur & H, 2022. "Dissociable multi-scale patterns of development in personalized brain networks," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    7. Morteza Amini & Mahdi Roozbeh & Nur Anisah Mohamed, 2024. "Separation of the Linear and Nonlinear Covariates in the Sparse Semi-Parametric Regression Model in the Presence of Outliers," Mathematics, MDPI, vol. 12(2), pages 1-17, January.
    8. Jean Chung & Guanchao Tong & Jiayou Chao & Wei Zhu, 2021. "Path Analysis of Sea-Level Rise and Its Impact," Stats, MDPI, vol. 5(1), pages 1-14, December.
    9. Manuel Febrero-Bande & Wenceslao González-Manteiga & Manuel Oviedo de la Fuente, 2019. "Variable selection in functional additive regression models," Computational Statistics, Springer, vol. 34(2), pages 469-487, June.
    10. Schmidt, Rouven & Kneib, Thomas, 2023. "Multivariate distributional stochastic frontier models," Computational Statistics & Data Analysis, Elsevier, vol. 187(C).
    11. Sun, Tianyu & Chand, Satish & Sharpe, Keiran, 2018. "Effect of aging on housing prices: evidence from a panel data," MPRA Paper 94418, University Library of Munich, Germany, revised 01 Mar 2019.
    12. Nadja Klein & Thomas Kneib & Giampiero Marra & Rosalba Radice & Slawa Rokicki & Mark E. McGovern, 2018. "Mixed Binary-Continuous Copula Regression Models with Application to Adverse Birth Outcomes," CHaRMS Working Papers 18-06, Centre for HeAlth Research at the Management School (CHaRMS).
    13. Philip T. Reiss & R. Todd Ogden, 2010. "Functional Generalized Linear Models with Images as Predictors," Biometrics, The International Biometric Society, vol. 66(1), pages 61-69, March.
    14. Andrea Mario Lavezzi & Davide Fiaschi, 2004. "Nonlinear Growth and the Productivity Slowdown," Computing in Economics and Finance 2004 162, Society for Computational Economics.
    15. Gerhard Tutz & Jan Gertheiss, 2014. "Rating Scales as Predictors—The Old Question of Scale Level and Some Answers," Psychometrika, Springer;The Psychometric Society, vol. 79(3), pages 357-376, July.
    16. Yao Zhang & Jianxiu Liu & Yi Zhang & Limei Ke & Ruidong Liu, 2022. "Interactive Compensation Effects of Physical Activity and Sleep on Mental Health: A Longitudinal Panel Study among Chinese College Students during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(19), pages 1-13, September.
    17. Lulu Shang & Peijun Wu & Xiang Zhou, 2025. "Statistical identification of cell type-specific spatially variable genes in spatial transcriptomics," Nature Communications, Nature, vol. 16(1), pages 1-20, December.
    18. Nikolaus Umlauf & Nadja Klein & Achim Zeileis, 2017. "BAMLSS: Bayesian Additive Models for Location, Scale and Shape (and Beyond)," Working Papers 2017-05, Faculty of Economics and Statistics, Universität Innsbruck.
    19. Sandra Bilek-Steindl & Christian Glocker & Serguei Kaniovski & Thomas Url, 2016. "Austria 2025 – The Effect of Human Capital Accumulation on Output Growth," WIFO Studies, WIFO, number 59175, January.
    20. Hübler, Michael & Bukin, Eduard & Xi, Yuting, 2020. "The effects of international trade on structural change and CO₂ emissions," Kiel Working Papers 2174, Kiel Institute for the World Economy (IfW Kiel).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:22:p:7042-:d:1276954. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.