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Comparison of Micro-Census Results for Magarya Ward, Wurno Local Government Area of Sokoto State, Nigeria, with Other Sources of Denominator Data

Author

Listed:
  • Margherita E. Ghiselli

    (U.S. Centers for Disease Control and Prevention (CDC), Atlanta, GA 30333, USA)

  • Idongesit Nta Wilson

    (National Stop Transmission of Polio (NSTOP), Asokoro, Abuja 900231, Nigeria)

  • Brian Kaplan

    (U.S. Centers for Disease Control and Prevention (CDC), Atlanta, GA 30333, USA)

  • Ndadilnasiya Endie Waziri

    (National Stop Transmission of Polio (NSTOP), Asokoro, Abuja 900231, Nigeria)

  • Adamu Sule

    (National Stop Transmission of Polio (NSTOP), Asokoro, Abuja 900231, Nigeria)

  • Halimatu Bolatito Ayanleke

    (National Stop Transmission of Polio (NSTOP), Asokoro, Abuja 900231, Nigeria)

  • Faruk Namalam

    (Sokoto State Emergency Routine Immunization Coordination Center (SERICC), Sokoto Town, Sokoto State 840212, Nigeria)

  • Shehu Ahmad Tambuwal

    (Sokoto State Primary Health Care Development Agency (SPHCDA), Sokoto Town, Sokoto State 840212, Nigeria)

  • Nuruddeen Aliyu

    (National Stop Transmission of Polio (NSTOP), Asokoro, Abuja 900231, Nigeria)

  • Umar Kadi

    (National Stop Transmission of Polio (NSTOP), Asokoro, Abuja 900231, Nigeria)

  • Omotayo Bolu

    (U.S. Centers for Disease Control and Prevention (CDC), Atlanta, GA 30333, USA)

  • Nyampa Barau

    (National Stop Transmission of Polio (NSTOP), Asokoro, Abuja 900231, Nigeria)

  • Mohammed Yahaya

    (National Stop Transmission of Polio (NSTOP), Asokoro, Abuja 900231, Nigeria)

  • Gideon Ugbenyo

    (National Stop Transmission of Polio (NSTOP), Asokoro, Abuja 900231, Nigeria)

  • Ugochukwu Osigwe

    (National Stop Transmission of Polio (NSTOP), Asokoro, Abuja 900231, Nigeria)

  • Clara Oguji

    (National Stop Transmission of Polio (NSTOP), Asokoro, Abuja 900231, Nigeria)

  • Nnamdi Usifoh

    (National Stop Transmission of Polio (NSTOP), Asokoro, Abuja 900231, Nigeria)

  • Vincent Seaman

    (Bill and Melinda Gates Foundation, Seattle, WA 98109, USA)

Abstract

Routine immunization coverage in Nigeria is suboptimal. In the northwestern state of Sokoto, an independent population-based survey for 2016 found immunization coverage with the third dose of Pentavalent vaccine to be 3%, whereas administrative coverage in 2016 was reported to be 69%. One possibility driving this large discrepancy is that administrative coverage is calculated using an under-estimated target population. Official population projections from the 2006 Census are based on state-specific standard population growth rates. Immunization target population estimates from other sources have not been independently validated. We conducted a micro-census in Magarya ward, Wurno Local Government Area of Sokoto state to obtain an accurate count of the total population living in the ward, and to compare these results with other sources of denominator data. We developed a precise micro-plan using satellite imagery, and used the navigation tool EpiSample v1 in the field to guide teams to each building, without duplications or omissions. The particular characteristics of the selected ward underscore the importance of using standardized shape files to draw precise boundaries for enumeration micro-plans. While the use of this methodology did not resolve the discrepancy between independent and administrative vaccination coverage rates, a simplified application can better define the target population for routine immunization services and estimate the number of children still unprotected from vaccine-preventable diseases.

Suggested Citation

  • Margherita E. Ghiselli & Idongesit Nta Wilson & Brian Kaplan & Ndadilnasiya Endie Waziri & Adamu Sule & Halimatu Bolatito Ayanleke & Faruk Namalam & Shehu Ahmad Tambuwal & Nuruddeen Aliyu & Umar Kadi , 2019. "Comparison of Micro-Census Results for Magarya Ward, Wurno Local Government Area of Sokoto State, Nigeria, with Other Sources of Denominator Data," Data, MDPI, vol. 4(1), pages 1-19, January.
  • Handle: RePEc:gam:jdataj:v:4:y:2019:i:1:p:20-:d:200808
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    References listed on IDEAS

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    1. Jan Van den Broeck & Solveig Argeseanu Cunningham & Roger Eeckels & Kobus Herbst, 2005. "Data Cleaning: Detecting, Diagnosing, and Editing Data Abnormalities," PLOS Medicine, Public Library of Science, vol. 2(10), pages 1-1, September.
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