IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v21y2024i1p78-d1316704.html
   My bibliography  Save this article

Socioeconomic, Demographic, and Environmental Factors May Inform Malaria Intervention Prioritization in Urban Nigeria

Author

Listed:
  • Chilochibi Chiziba

    (Department of Preventive Medicine and Institute for Global Health, Northwestern University, Chicago, IL 60611, USA)

  • Laina D. Mercer

    (PATH, Seattle, WA 98121, USA)

  • Ousmane Diallo

    (Department of Preventive Medicine and Institute for Global Health, Northwestern University, Chicago, IL 60611, USA)

  • Amelia Bertozzi-Villa

    (Institute for Disease Modeling, Seattle, WA 98005, USA)

  • Daniel J. Weiss

    (Telethon Kids Institute, Nedlands, WA 6009, Australia
    Faculty of Health Sciences, Curtin University, Bently, WA 6102, Australia)

  • Jaline Gerardin

    (Department of Preventive Medicine and Institute for Global Health, Northwestern University, Chicago, IL 60611, USA)

  • Ifeoma D. Ozodiegwu

    (Department of Preventive Medicine and Institute for Global Health, Northwestern University, Chicago, IL 60611, USA
    Department of Health Informatics and Data Science, Loyola University, Health Sciences Campus, Maywood, IL 60153, USA)

Abstract

Urban population growth in Nigeria may exceed the availability of affordable housing and basic services, resulting in living conditions conducive to vector breeding and heterogeneous malaria transmission. Understanding the link between community-level factors and urban malaria transmission informs targeted interventions. We analyzed Demographic and Health Survey Program cluster-level data, alongside geospatial covariates, to describe variations in malaria prevalence in children under 5 years of age. Univariate and multivariable models explored the relationship between malaria test positivity rates at the cluster level and community-level factors. Generally, malaria test positivity rates in urban areas are low and declining. The factors that best predicted malaria test positivity rates within a multivariable model were post-primary education, wealth quintiles, population density, access to improved housing, child fever treatment-seeking, precipitation, and enhanced vegetation index. Malaria transmission in urban areas will likely be reduced by addressing socioeconomic and environmental factors that promote exposure to disease vectors. Enhanced regional surveillance systems in Nigeria can provide detailed data to further refine our understanding of these factors in relation to malaria transmission.

Suggested Citation

  • Chilochibi Chiziba & Laina D. Mercer & Ousmane Diallo & Amelia Bertozzi-Villa & Daniel J. Weiss & Jaline Gerardin & Ifeoma D. Ozodiegwu, 2024. "Socioeconomic, Demographic, and Environmental Factors May Inform Malaria Intervention Prioritization in Urban Nigeria," IJERPH, MDPI, vol. 21(1), pages 1-20, January.
  • Handle: RePEc:gam:jijerp:v:21:y:2024:i:1:p:78-:d:1316704
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/21/1/78/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/21/1/78/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Renata Gracie & Christovam Barcellos & Mônica Magalhães & Reinaldo Souza-Santos & Paulo Rubens Guimarães Barrocas, 2014. "Geographical Scale Effects on the Analysis of Leptospirosis Determinants," IJERPH, MDPI, vol. 11(10), pages 1-18, October.
    2. Kwabena Gyimah-Brempong & Oliver Paddison & Workie Mitiku, 2006. "Higher education and economic growth in Africa," Journal of Development Studies, Taylor & Francis Journals, vol. 42(3), pages 509-529.
    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. Mothuti Gosego & Phiri Andrew, 2018. "Inflation-Growth Nexus in Botswana: Can Lower Inflation Really Spur Growth in the Country?," Global Economy Journal, De Gruyter, vol. 18(4), pages 1-11, December.
    2. Tochukwu Timothy Okoli & Devi Datt Tewari & Eneh George N.O, 2018. "Assessing the Impact of Skilled Labor on Output Growth in South Africa: An ARDL Bound Testing Approach," Journal of Economics and Behavioral Studies, AMH International, vol. 10(2), pages 209-218.
    3. Samuel Perlo‐Freeman & Don J. Webber, 2009. "Basic Needs, Government Debt and Economic Growth," The World Economy, Wiley Blackwell, vol. 32(6), pages 965-994, June.
    4. Huang, Juan & Rangkakulnuwat, Poomthan, 2024. "Does years of schooling matter for economic growth at different development levels? New evidence from China," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 75, pages 5-32.
    5. Tibebe A. Assefa & André Varella Mollick, 2017. "Financial Development and Economic Growth in Africa," Journal of African Business, Taylor & Francis Journals, vol. 18(3), pages 320-339, July.
    6. Aloysius Ajab Amin & Augustin Ntembe, 2021. "Sub-Sahara Africa’s Higher Education: Financing, Growth, and Em-ployment," International Journal of Higher Education, Sciedu Press, vol. 10(1), pages 1-14, February.
    7. Vivian Thuso Molaodi, 2022. "Assessing the effect of education levels on economic growth in South Africa," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(10), pages 366-374, December.
    8. Abdul Wahab, Abdul Azeez Oluwanisola & Kefeli, Zurina & Hashim, Nurhazirah, 2018. "Investigating The Dynamic Effect of Healthcare Expenditure and Education Expenditure On Economic Growth in Organisation of Islamic Countries (OIC)," MPRA Paper 90338, University Library of Munich, Germany, revised 19 Oct 2018.
    9. Richard Vogel & W. Hubert Keen, 2010. "Public Higher Education and New York State’s Economy," Economic Development Quarterly, , vol. 24(4), pages 384-393, November.
    10. Teemu Makkonen, 2012. "The competitive advantage of a peripheral university town: Human and social capital perspectives from Joensuu, Finland," ERSA conference papers ersa12p621, European Regional Science Association.
    11. Élisé Wendlassida Miningou & Medjy Pierre‐Louis & Jean‐Marc Bernard, 2022. "Improving learning outcomes in francophone Africa: More resources or improved efficiency?," African Development Review, African Development Bank, vol. 34(1), pages 127-141, March.
    12. Kodila-Tedika , Oasis, 2014. "Forget your gods: African evidence on the relation between state capacity and cognitive ability of leading politicians," European Economic Letters, European Economics Letters Group, vol. 3(1), pages 7-11.
    13. Voxi Heinrich Amavilah & Antonio Rodríguez Andrés, 2024. "Knowledge Economy and the Economic Performance of African Countries: A Seemingly Unrelated and Recursive Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 110-143, March.
    14. Boopen SEETANAH & viraiyan teeroovengadum, 2017. "Higher Education and Economic Growth: Evidence from Africa," Proceedings of Economics and Finance Conferences 4807254, International Institute of Social and Economic Sciences.
    15. Negash, Minga & Lemma, Tesfaye T. & Samkin, Grant, 2019. "Factors impacting accounting research output in developing countries: An exploratory study," The British Accounting Review, Elsevier, vol. 51(2), pages 170-192.
    16. Dominic E. Azuh & Jeremiah O. Ejemeyovwi & Queen Adiat & Babatunde A. Ayanda, 2020. "Innovation and Human Development Perspectives in West Africa," SAGE Open, , vol. 10(4), pages 21582440209, December.
    17. Visansack Khamphengvong & Hongou Zhang & Qitao Wu & Toulany Thavisay, 2022. "Examine the Economic and Social Effects on Lao People’s Perceived Benefit Attitudes towards BRI," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
    18. Ohikhuare Obaika & Oyewole Oluwatomisin & Adedeji Adedayo, 2022. "Public Health Investment, Human Capital Accumulation, and Labour Productivity: Evidence from West Africa," Zagreb International Review of Economics and Business, Sciendo, vol. 25(2), pages 139-163.
    19. Haiqing Yu & Shukuan Zhao & Xiaobo Xu & Yilin Wang, 2014. "An Empirical Study on the Dynamic Relationship between Higher Educational Investment and Economic Growth using VAR Model," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(3), pages 461-470, May.
    20. Kobil Ruziev & Davron Rustamov, 2016. "Higher education in Uzbekistan: reforms and the changing landscape since independence," Working Papers 20161604, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.

    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:21:y:2024:i:1:p:78-:d:1316704. 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.