IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i9p3070-d351558.html
   My bibliography  Save this article

A Scoping Review of Spatial Analysis Approaches Using Health Survey Data in Sub-Saharan Africa

Author

Listed:
  • Samuel Manda

    (Biostatistics Research Unit, South African Medical Research Council, Pretoria 0001, South Africa
    Department of Statistics, University of Pretoria, Pretoria 0002, South Africa
    School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg 3209, South Africa)

  • Ndamonaonghenda Haushona

    (Biostatistics Research Unit, South African Medical Research Council, Pretoria 0001, South Africa
    Division of Epidemiology and Biostatistics, University of Stellenbosch, Cape Town 8000, South Africa)

  • Robert Bergquist

    (Ingerod, SE-454 94 Brastad, Sweden)

Abstract

Spatial analysis has become an increasingly used analytic approach to describe and analyze spatial characteristics of disease burden, but the depth and coverage of its usage for health surveys data in Sub-Saharan Africa are not well known. The objective of this scoping review was to conduct an evaluation of studies using spatial statistics approaches for national health survey data in the SSA region. An organized literature search for studies related to spatial statistics and national health surveys was conducted through PMC, PubMed/Medline, Scopus, NLM Catalog, and Science Direct electronic databases. Of the 4,193 unique articles identified, 153 were included in the final review. Spatial smoothing and prediction methods were predominant (n = 108), followed by spatial description aggregation (n = 25), and spatial autocorrelation and clustering (n = 19). Bayesian statistics methods and lattice data modelling were predominant (n = 108). Most studies focused on malaria and fever (n = 47) followed by health services coverage (n = 38). Only fifteen studies employed nonstandard spatial analyses (e.g., spatial model assessment, joint spatial modelling, accounting for survey design). We recommend that for future spatial analysis using health survey data in the SSA region, there must be an improve recognition and awareness of the potential dangers of a naïve application of spatial statistical methods. We also recommend a wide range of applications using big health data and the future of data science for health systems to monitor and evaluate impacts that are not well understood at local levels.

Suggested Citation

  • Samuel Manda & Ndamonaonghenda Haushona & Robert Bergquist, 2020. "A Scoping Review of Spatial Analysis Approaches Using Health Survey Data in Sub-Saharan Africa," IJERPH, MDPI, vol. 17(9), pages 1-20, April.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:9:p:3070-:d:351558
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/9/3070/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/9/3070/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Oscar Ngesa & Henry Mwambi & Thomas Achia, 2014. "Bayesian Spatial Semi-Parametric Modeling of HIV Variation in Kenya," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-11, July.
    2. David Shapiro & Michel Tenikue, 2017. "Women’s education, infant and child mortality, and fertility decline in urban and rural sub-Saharan Africa," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 37(21), pages 669-708.
    3. Gudrun Østby & Henrik Urdal & Andreas Forø Tollefsen & Andreas Kotsadam & Ragnhild Belbo & Christin Ormhaug, 2018. "Organized Violence and Institutional Child Delivery: Micro-Level Evidence From Sub-Saharan Africa, 1989–2014," Demography, Springer;Population Association of America (PAA), vol. 55(4), pages 1295-1316, August.
    4. United Nations, 2016. "The Sustainable Development Goals 2016," Working Papers id:11456, eSocialSciences.
    5. Anselin, Luc & Getis, Arthur, 1992. "Spatial Statistical Analysis and Geographic Information Systems," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 26(1), pages 19-33, April.
    6. Julian Besag & Jeremy York & Annie Mollié, 1991. "Bayesian image restoration, with two applications in spatial statistics," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 43(1), pages 1-20, March.
    7. Emanuele Giorgi & Peter J. Diggle & Robert W. Snow & Abdisalan M. Noor, 2018. "Geostatistical Methods for Disease Mapping and Visualisation Using Data from Spatio‐temporally Referenced Prevalence Surveys," International Statistical Review, International Statistical Institute, vol. 86(3), pages 571-597, December.
    8. Damaris K. Kinyoki & Samuel O. Manda & Grainne M. Moloney & Elijah O. Odundo & James A. Berkley & Abdisalan M. Noor & Ngianga-Bakwin Kandala, 2017. "Modelling the Ecological Comorbidity of Acute Respiratory Infection, Diarrhoea and Stunting among Children Under the Age of 5 Years in Somalia," International Statistical Review, International Statistical Institute, vol. 85(1), pages 164-176, April.
    9. Diego F. Cuadros & Laith J. Abu-Raddad, 2016. "Geographical Patterns of HIV Sero-Discordancy in High HIV Prevalence Countries in Sub-Saharan Africa," IJERPH, MDPI, vol. 13(9), pages 1-12, August.
    10. Håvard Rue & Sara Martino & Nicolas Chopin, 2009. "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 319-392, April.
    11. Ngianga-Bakwin Kandala & Saverio Stranges, 2014. "Geographic Variation of Overweight and Obesity among Women in Nigeria: A Case for Nutritional Transition in Sub-Saharan Africa," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-11, June.
    12. Ngianga-Bakwin Kandala & Gebrenegus Ghilagaber, 2006. "A Geo-Additive Bayesian Discrete-Time Survival Model and its Application to Spatial Analysis of Childhood Mortality in Malawi," Quality & Quantity: International Journal of Methodology, Springer, vol. 40(6), pages 935-957, December.
    13. Gavin Tansley & Nadine Schuurman & Ofer Amram & Natalie Yanchar, 2015. "Spatial Access to Emergency Services in Low- and Middle-Income Countries: A GIS-Based Analysis," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-12, November.
    14. Kotsadam, Andreas & Østby, Gudrun & Rustad, Siri Aas & Tollefsen, Andreas Forø & Urdal, Henrik, 2018. "Development aid and infant mortality. Micro-level evidence from Nigeria," World Development, Elsevier, vol. 105(C), pages 59-69.
    15. Kpienbaareh, Daniel & Atuoye, Kilian N. & Ngabonzima, Anaclet & Bagambe, Patrick G. & Rulisa, Stephen & Luginaah, Isaac & Cechetto, David F., 2019. "Spatio-temporal disparities in maternal health service utilization in Rwanda: What next for SDGs?," Social Science & Medicine, Elsevier, vol. 226(C), pages 164-175.
    16. Julius Ssempiira & Betty Nambuusi & John Kissa & Bosco Agaba & Fredrick Makumbi & Simon Kasasa & Penelope Vounatsou, 2017. "Geostatistical modelling of malaria indicator survey data to assess the effects of interventions on the geographical distribution of malaria prevalence in children less than 5 years in Uganda," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-20, April.
    17. Ezra Gayawan & Samson B. Adebayo, 2013. "A Bayesian semiparametric multilevel survival modelling of age at first birth in Nigeria," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(45), pages 1339-1372.
    18. Adebayo, Samson B. & Fahrmeir, Ludwig & Klasen, Stephan, 2004. "Analyzing infant mortality with geoadditive categorical regression models: a case study for Nigeria," Economics & Human Biology, Elsevier, vol. 2(2), pages 229-244, June.
    19. Burroway, Rebekah & Hargrove, Andrew, 2018. "Education is the antidote: Individual- and community-level effects of maternal education on child immunizations in Nigeria," Social Science & Medicine, Elsevier, vol. 213(C), pages 63-71.
    20. Kedir N. Turi & Mary J. Christoph & Diana S. Grigsby-Toussaint, 2013. "Spatial Distribution of Underweight, Overweight and Obesity among Women and Children: Results from the 2011 Uganda Demographic and Health Survey," IJERPH, MDPI, vol. 10(10), pages 1-15, October.
    21. Kneib, Thomas, 2006. "Mixed model-based inference in geoadditive hazard regression for interval-censored survival times," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 777-792, November.
    22. Kandala, Ngianga-Bakwin & Emina, Jacques B. & Nzita, Paul Denis K. & Cappuccio, Francesco P., 2009. "Diarrhoea, acute respiratory infection, and fever among children in the Democratic Republic of Congo," Social Science & Medicine, Elsevier, vol. 68(9), pages 1728-1736, May.
    23. Aoun, Nael & Matsuda, Hirotaka & Sekiyama, Makiko, 2015. "Geographical accessibility to healthcare and malnutrition in Rwanda," Social Science & Medicine, Elsevier, vol. 130(C), pages 135-145.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Phillips Edomwonyi Obasohan & Stephen J. Walters & Richard Jacques & Khaled Khatab, 2021. "A Scoping Review of Selected Studies on Predictor Variables Associated with the Malaria Status among Children under Five Years in Sub-Saharan Africa," IJERPH, MDPI, vol. 18(4), pages 1-21, February.
    2. Phillips Edomwonyi Obasohan & Stephen J. Walters & Richard Jacques & Khaled Khatab, 2020. "A Scoping Review of the Risk Factors Associated with Anaemia among Children Under Five Years in Sub-Saharan African Countries," IJERPH, MDPI, vol. 17(23), pages 1-20, November.
    3. Sheyla Rodrigues Cassy & Samuel Manda & Filipe Marques & Maria do Rosário Oliveira Martins, 2022. "Accounting for Sampling Weights in the Analysis of Spatial Distributions of Disease Using Health Survey Data, with an Application to Mapping Child Health in Malawi and Mozambique," IJERPH, MDPI, vol. 19(10), pages 1-15, May.

    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. Sheyla Rodrigues Cassy & Samuel Manda & Filipe Marques & Maria do Rosário Oliveira Martins, 2022. "Accounting for Sampling Weights in the Analysis of Spatial Distributions of Disease Using Health Survey Data, with an Application to Mapping Child Health in Malawi and Mozambique," IJERPH, MDPI, vol. 19(10), pages 1-15, May.
    2. Ezra Gayawan & Samson B. Adebayo, 2013. "A Bayesian semiparametric multilevel survival modelling of age at first birth in Nigeria," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(45), pages 1339-1372.
    3. Ezra Gayawan & Samson B. Adebayo, 2014. "Spatial Pattern and Determinants of Age at Marriage in Nigeria Using a Geo-Additive Survival Model," Mathematical Population Studies, Taylor & Francis Journals, vol. 21(2), pages 112-124, June.
    4. Mayer Alvo & Jingrui Mu, 2023. "COVID-19 Data Analysis Using Bayesian Models and Nonparametric Geostatistical Models," Mathematics, MDPI, vol. 11(6), pages 1-13, March.
    5. Massimo Bilancia & Giacomo Demarinis, 2014. "Bayesian scanning of spatial disease rates with integrated nested Laplace approximation (INLA)," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 23(1), pages 71-94, March.
    6. Douglas R. M. Azevedo & Marcos O. Prates & Dipankar Bandyopadhyay, 2021. "MSPOCK: Alleviating Spatial Confounding in Multivariate Disease Mapping Models," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 26(3), pages 464-491, September.
    7. Bondo, Kristin J. & Rosenberry, Christopher S. & Stainbrook, David & Walter, W. David, 2024. "Comparing risk of chronic wasting disease occurrence using Bayesian hierarchical spatial models and different surveillance types," Ecological Modelling, Elsevier, vol. 493(C).
    8. Jonathan Wakefield & Taylor Okonek & Jon Pedersen, 2020. "Small Area Estimation for Disease Prevalence Mapping," International Statistical Review, International Statistical Institute, vol. 88(2), pages 398-418, August.
    9. Isabel Martínez-Pérez & Verónica González-Iglesias & Valentín Rodríguez Suárez & Ana Fernández-Somoano, 2021. "Spatial Distribution of Hospitalizations for Ischemic Heart Diseases in the Central Region of Asturias, Spain," IJERPH, MDPI, vol. 18(23), pages 1-10, November.
    10. Johnson, Blair T. & Sisti, Anthony & Bernstein, Mary & Chen, Kun & Hennessy, Emily A. & Acabchuk, Rebecca L. & Matos, Michaela, 2021. "Community-level factors and incidence of gun violence in the United States, 2014–2017," Social Science & Medicine, Elsevier, vol. 280(C).
    11. Maike Tahden & Juliane Manitz & Klaus Baumgardt & Gerhard Fell & Thomas Kneib & Guido Hegasy, 2016. "Epidemiological and Ecological Characterization of the EHEC O104:H4 Outbreak in Hamburg, Germany, 2011," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-19, October.
    12. Radka Jersakova & James Lomax & James Hetherington & Brieuc Lehmann & George Nicholson & Mark Briers & Chris Holmes, 2022. "Bayesian imputation of COVID‐19 positive test counts for nowcasting under reporting lag," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(4), pages 834-860, August.
    13. Darren J. Mayne & Geoffrey G. Morgan & Bin B. Jalaludin & Adrian E. Bauman, 2018. "Does Walkability Contribute to Geographic Variation in Psychosocial Distress? A Spatial Analysis of 91,142 Members of the 45 and Up Study in Sydney, Australia," IJERPH, MDPI, vol. 15(2), pages 1-24, February.
    14. Ferreira, Marco A.R. & Porter, Erica M. & Franck, Christopher T., 2021. "Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects," Computational Statistics & Data Analysis, Elsevier, vol. 162(C).
    15. Getayeneh Antehunegn Tesema & Zemenu Tadesse Tessema & Stephane Heritier & Rob G. Stirling & Arul Earnest, 2023. "A Systematic Review of Joint Spatial and Spatiotemporal Models in Health Research," IJERPH, MDPI, vol. 20(7), pages 1-24, March.
    16. Faustin Habyarimana & Temesgen Zewotir & Shaun Ramroop, 2017. "Structured Additive Quantile Regression for Assessing the Determinants of Childhood Anemia in Rwanda," IJERPH, MDPI, vol. 14(6), pages 1-15, June.
    17. Medina-Olivares, Victor & Calabrese, Raffaella & Dong, Yizhe & Shi, Baofeng, 2022. "Spatial dependence in microfinance credit default," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1071-1085.
    18. Matthew Yap & Matthew Tuson & Berwin Turlach & Bryan Boruff & David Whyatt, 2021. "Modelling the Relationship between Rainfall and Mental Health Using Different Spatial and Temporal Units," IJERPH, MDPI, vol. 18(3), pages 1-15, February.
    19. Le, Kien & Nguyen, My, 2020. "The Impacts of Armed Conflict on Child Health: Evidence from 56 Developing Countries," MPRA Paper 109896, University Library of Munich, Germany.
    20. Mayer, Duncan J., 2024. "Lead and delinquency rates; A spatio-temporal perspective," Social Science & Medicine, Elsevier, vol. 341(C).

    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:17:y:2020:i:9:p:3070-:d:351558. 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.