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Non-falciparum malaria infection and IgG seroprevalence among children under 15 years in Nigeria, 2018

Author

Listed:
  • Camelia Herman

    (Centers for Disease Control and Prevention
    BeVera Solutions)

  • Colleen M. Leonard

    (Centers for Disease Control and Prevention
    Oak Ridge Institute for Science and Education, US. Department of Energy)

  • Perpetua Uhomoibhi

    (Federal Ministry of Health)

  • Mark Maire

    (U.S. Centers for Disease Control and Prevention)

  • Delynn Moss

    (Centers for Disease Control and Prevention)

  • Uwem Inyang

    (United States Agency for International Development (USAID))

  • Ado Abubakar

    (Institute of Human Virology (IHVN))

  • Abiodun Ogunniyi

    (Nigeria Centre for Disease Control (NCDC))

  • Nwando Mba

    (Nigeria Centre for Disease Control (NCDC))

  • Stacie M. Greby

    (Centers for Disease Control and Prevention)

  • McPaul I. Okoye

    (Centers for Disease Control and Prevention)

  • Nnaemeka C. Iriemenam

    (Centers for Disease Control and Prevention)

  • Ibrahim Maikore

    (Nigeria Country Office)

  • Laura Steinhardt

    (Centers for Disease Control and Prevention)

  • Eric Rogier

    (Centers for Disease Control and Prevention)

Abstract

Plasmodium falciparum (Pf) is the dominant malaria parasite in Nigeria though P. vivax (Pv), P. ovale (Po), and P. malariae (Pm) are also endemic. Blood samples (n = 31,234) were collected from children aged 0-14 years during a 2018 nationwide HIV survey and assayed for Plasmodium antigenemia, Plasmodium DNA, and IgG against Plasmodium MSP1-19 antigens. Of all children, 6.6% were estimated to have Pm infection and 1.4% Po infection with no Pv infections detected. The highest household wealth quintile was strongly protective against infection with Pm (aOR: 0.11, 95% CI: 0.05–0.22) or Po (aOR= 0.01, 0.00–0.10). Overall Pm seroprevalence was 34.2% (95% CI: 33.3-35.2) with lower estimates for Po (12.1%, 11.6-12.5) and Pv (6.3%, 6.0-6.7). Pm seropositivity was detected throughout the country with several local government areas showing >50% seroprevalence. Serological and DNA indicators show widespread exposure of Nigerian children to Pm with lower rates to Po and Pv.

Suggested Citation

  • Camelia Herman & Colleen M. Leonard & Perpetua Uhomoibhi & Mark Maire & Delynn Moss & Uwem Inyang & Ado Abubakar & Abiodun Ogunniyi & Nwando Mba & Stacie M. Greby & McPaul I. Okoye & Nnaemeka C. Iriem, 2023. "Non-falciparum malaria infection and IgG seroprevalence among children under 15 years in Nigeria, 2018," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-37010-0
    DOI: 10.1038/s41467-023-37010-0
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    References listed on IDEAS

    as
    1. Lumley, Thomas, 2004. "Analysis of Complex Survey Samples," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 9(i08).
    2. Nicholas F. Brazeau & Cedar L. Mitchell & Andrew P. Morgan & Molly Deutsch-Feldman & Oliver John Watson & Kyaw L. Thwai & Pere Gelabert & Lucy Dorp & Corinna Y. Keeler & Andreea Waltmann & Michael Emc, 2021. "The epidemiology of Plasmodium vivax among adults in the Democratic Republic of the Congo," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    3. Ahmed M. Arzika & Ramatou Maliki & E. Brook Goodhew & Eric Rogier & Jeffrey W. Priest & Elodie Lebas & Kieran S. O’Brien & Victoria Le & Catherine E. Oldenburg & Thuy Doan & Travis C. Porco & Jeremy D, 2022. "Effect of biannual azithromycin distribution on antibody responses to malaria, bacterial, and protozoan pathogens in Niger," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    4. Faustin Habyarimana & Shaun Ramroop, 2020. "Prevalence and Risk Factors Associated with Malaria among Children Aged Six Months to 14 Years Old in Rwanda: Evidence from 2017 Rwanda Malaria Indicator Survey," IJERPH, MDPI, vol. 17(21), pages 1-13, October.
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