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Covariates and Spatial Interpolation of HIV Screening in Mozambique: Insight from the 2015 AIDS Indicator Survey

Author

Listed:
  • Pascal Agbadi

    (Department of Nursing, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana)

  • Jerry John Nutor

    (Department of Family Health Care Nursing, School of Nursing, University of California, 2 Koret Way, Suite N431G, San Francisco, CA 94143, USA)

  • Ernest Darkwah

    (Department of Psychology, University of Ghana, P.O. Box LG 84, Legon, Ghana)

  • Henry Ofori Duah

    (Research Department, FOCOS Orthopaedic Hospital, Accra, Ghana)

  • Precious Adade Duodu

    (East Surrey Hospital, Canada Avenue, Redhill, Surrey RH1 5RH, England, UK)

  • Robert Kaba Alhassan

    (School of Nursing and Midwifery, University of Health and Allied Sciences, Ho, Ghana)

  • Kimberly Baltzell

    (Department of Family Health Care Nursing, School of Nursing, University of California, 2 Koret Way, Suite N431G, San Francisco, CA 94143, USA)

Abstract

We examined the factors associated with human immunodeficiency virus (HIV) screening and developed a HIV screening prevalence surface map using spatial interpolation techniques to identify the geographical areas with the highest and lowest rates of HIV screening in Mozambique. We analyzed the cross-sectional 2015 Mozambique AIDS Indicator Surveys with an analytic sample of 12,995 participants. Analyses were conducted on SPSS-21, STATA-14, and R freeware 3.5.3. We adjusted for the sample design and population weights. Results indicated that 52.5% of Mozambicans had undergone HIV screening. Mozambicans with these characteristics have a higher probability of undergoing HIV screening: females, those with a primary education or higher, urban dwellers, residents of wealthy households, having at least one lifetime sexual partner, and dwelling in these provinces—Niassa, Tete, Manica, Sofala, Inhambane, Gaza, Maputo Provincia, and Maputo Cidade. The spatial map revealed that the national and regional estimates mask sub-regional level estimates. Generally, zones with the highest HIV screening prevalence are found in southern provinces while the lowest prevalence was found in the northern provinces. The map further revealed intraregional differences in HIV screening estimates. We recommend that HIV screening be expanded, with equitable screening resource allocations that target more nuanced areas within provinces which have a low HIV screening prevalence.

Suggested Citation

  • Pascal Agbadi & Jerry John Nutor & Ernest Darkwah & Henry Ofori Duah & Precious Adade Duodu & Robert Kaba Alhassan & Kimberly Baltzell, 2020. "Covariates and Spatial Interpolation of HIV Screening in Mozambique: Insight from the 2015 AIDS Indicator Survey," IJERPH, MDPI, vol. 17(16), pages 1-15, August.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:16:p:5630-:d:394583
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    References listed on IDEAS

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    1. Freya M Shearer & Robert Moss & Jodie McVernon & Joshua V Ross & James M McCaw, 2020. "Infectious disease pandemic planning and response: Incorporating decision analysis," PLOS Medicine, Public Library of Science, vol. 17(1), pages 1-12, January.
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