Original Articles

Spatio-temporal variations and determinants of antenatal care utilization among adolescents in Bulawayo metropolitan area, Zimbabwe: an analysis of routine data, 2019-2024

Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Published: 11 December 2025
211
Views
221
Downloads
8
HTML

Authors

Adolescent pregnancy remains a major public health chal- lenge in low- and middle-income countries, contributing to mater- nal and neonatal morbidity and mortality. Antenatal Care (ANC) mitigates pregnancy-related risks through timely screening, edu- cation, and skilled care. However, adolescent ANC utilization remains low – even in urban areas with numerous health service providers. While national demographic and health surveys are used to estimate ANC utilization rates in urban areas, they lack the spatial detail needed to reveal intra-urban disparities for local level health planning. We modelled spatial and temporal varia- tions for at least one visit with a skilled provider (ANC1+) utiliza- tion among pregnant adolescents (10-19 years) within Bulawayo metropolitan province, Zimbabwe, 2019–2024. We extracted ANC utilization records from the District Health Information System and linked the data to a geocoded list of health facilities. Adolescent population denominators (pregnancies) were derived from three independent sources: WorldPop, national statistics agency and the US Census Bureau International Database (IDB). Health Facility Catchment Areas (HFCA) were estimated based on Thiessen polygons and linked with ANC use, pregnancies by population source and geospatial covariates (travel time to facili- ties, urbanization, maternal education, household wealth index, family planning, and vaccine coverage). A Bayesian spatial-tem- poral model was used to estimate ANC1+ coverage per HFCA by year and population. Provincial ANC1+ coverage ranged from 60.4% (WorldPop) to 70.6% (IDB) based on the population source. There was a high spatial heterogeneity in coverage across catchment areas, ranging from below 25% to over 80%. HFCAs located within core urban areas had higher coverage relative to the periphery. No clear temporal trend was observed. Higher wealth index and shorter travel time were significantly associated with ANC1+ utilization. The results are useful for local targeting of resources.

Downloads

Download data is not yet available.

Citations

Adewuyi EO, Auta A, Adewuyi MI, Philip AA, Olutuase V, Zhao Y, Khanal V, 2024. Antenatal care utilisation and receipt of its components in Nigeria: Assessing disparities between rural and urban areas-A nationwide population-based study. PloS One 19:0307316. DOI: https://doi.org/10.1371/journal.pone.0307316
Agiraembabazi G, Ogwal J, Tashobya C, Kananura RM, Boerma T, Waiswa P, 2021. Can routine health facility data be used to monitor subnational coverage of maternal, newborn and child health services in Uganda? BMC Health Serv Res 21:512. DOI: https://doi.org/10.1186/s12913-021-06554-6
Amnesty International, 2020. The devastating effects of COVID-19 on maternal health in Zimbabwe. Amnesty International. Accessed 7.25.25. Available from https://www.amnesty.org/en/latest/campaigns/2020/04/the-devastating-effects-of-covid19-on-maternal-health-in-zimbabwe/
Amoro, VA, Abiiro GA, Alatinga KA, 2021. Bypassing primary healthcare facilities for maternal healthcare in North West Ghana: socio-economic correlates and financial implications. BMC Health Serv Res 21:545. DOI: https://doi.org/10.1186/s12913-021-06573-3
Amouzou A, Melesse DY, Wehrmeister FC, Ferreira LZ, Jiwani SS, Kassegne S, Maïga A, Faye CM, Ca T, Boerma T; For The Countdown to 2030 Regional Collaboration in Sub-Saharan Africa, 2024. Erosion of the Capital City Advantage in Child Survival and Reproductive, Maternal, Newborn, and Child Health Intervention Coverage in Sub-Saharan Africa. J Urban Health 101:18–30. DOI: https://doi.org/10.1007/s11524-023-00820-0
Anaba EA, Alor SK, Badzi CD, 2022. Utilization of antenatal care among adolescent and young mothers in Ghana; analysis of the 2017/2018 multiple indicator cluster survey. BMC Pregnancy Childbirth 22:1–8. DOI: https://doi.org/10.1186/s12884-022-04872-z
Aron MB, Nkhomah WE, Dullie L, Matanje B, Kachimanga C, Ndarama E, Chibvunde S, Mulwafu M, Banda GM, Mpinga K, Kutsamba M, Mikwamba M, Mphande I, Matiya K, Buleya CF, Chunga M, Munyaneza F, 2024. Towards improving district health information system data consistency, report completeness and timeliness in Neno district, Malawi. BMC Med Inform Decis Mak 24:376. DOI: https://doi.org/10.1186/s12911-024-02802-x
Baird S, Choonara S, Azzopardi PS, Banati P, Bessant J, Biermann O, Capon A, Claeson M, Collins PY, De Wet-Billings N, Dogra S, Dong Y, Francis KL, Gebrekristos LT, Groves AK, Hay SI, Imbago-Jácome D, Jenkins AP, Kabiru CW, Kennedy EC, Li L, Lu C, Ma J, McGovern T, Mensa-Kwao A, Mojola SA, Nagata JM, Olumide AO, Omigbodun O, O'Sullivan M, Prost A, Requejo JH, Shawar YR, Shiffman J, Silverman A, Song Y, Swartz S, Tamambang R, Urdal H, Ward JL, Patton GC, Sawyer SM, Ezeh A, Viner RM, 2025. A call to action: the second Lancet Commission on adolescent health and wellbeing. Lancet 405:1945-2022. DOI: https://doi.org/10.1016/S0140-6736(25)00503-3
Banke-Thomas, OE, Banke-Thomas AO, Ameh CA, 2017. Factors influencing utilisation of maternal health services by adolescent mothers in Low-and middle-income countries: A systematic review. BMC Pregnancy Childbirth 17:1–14. DOI: https://doi.org/10.1186/s12884-017-1246-3
Benova L, Tunçalp Ö, Moran AC, Maeve O, Campbell R, 2018. Not just a number: examining coverage and content of antenatal care in low-income and middle-income countries. BMJ Glob Health 3:779. DOI: https://doi.org/10.1136/bmjgh-2018-000779
Bernardinelli L, Clayton D, Pascutto C, Montomoli C, Ghislandi M, Songini M, 1995. Bayesian analysis of space-time variation in disease risk. Stat Med 14:2433–43. DOI: https://doi.org/10.1002/sim.4780142112
Besag J, York J, Mollié A, 1991. Bayesian image restoration, with two applications in spatial statistics. Ann Inst Stat Math 43:1–20. DOI: https://doi.org/10.1007/BF00116466
Bhattacharya AA, Umar N, Audu A, Allen E, Schellenberg JRM, Marchant T, 2019. Quality of routine facility data for monitoring priority maternal and newborn indicators in DHIS2: A case study from Gombe State, Nigeria. PLOS ONE 14:e0211265. DOI: https://doi.org/10.1371/journal.pone.0211265
Breakthrough RESEARCH, 2021. Considerations and guidance for using routine and program monitoring data for social behavior and change evaluation. Programmatic Research Brief. Washington, D.C. Population Council. Accessed 6.16.25. Available at https://breakthroughactionandresearch.org/wp-content/uploads/2021/02/BR_RoutineData_Brief.pdf
Bulawayo City Council, 2025. Bulawayo City Council. Personal Health Branch. Accessed 6.16.25. Available at https://www.citybyo.co.zw/Health/Personal
Byrne E, Sæbø JI, 2022. Routine use of DHIS2 data: a scoping review. BMC Health Serv. Res. 22:1–16. DOI: https://doi.org/10.1186/s12913-022-08598-8
Center for Global Development, 2025. The USAID Shutdown: Where Next?. Accessed 6.16.25. Available at https://www.cgdev.org/blog/usaid-shutdown-where-next
Chandra-Mouli V, Ferguson BJ, Plesons M, Paul M, Chalasani S, Amin A, Pallitto C, Sommer M, Avila R, Eceéce Biaukula KV, Husain S, Janušonytė E, Mukherji A, Nergiz AI, Phaladi G, Porter C, Sauvarin J, Camacho-Huber AV, Mehra S, Caffe S, Michielsen K, Ross DA, Zhukov I, Bekker LG, Celum CL, Dayton R, Erulkar A, Travers E, Svanemyr J, Maksud N, Digolo-Nyagah L, Diop NJ, Lhaki P, Adhikari K, Mahon T, Manzenski Hansen M, Greeley M, Herat J, Engel DMC, 2019. The Political, Research, Programmatic, and Social Responses to Adolescent Sexual and Reproductive Health and Rights in the 25 Years Since the International Conference on Population and Development. J Adolesc Health 65:S16–S40. DOI: https://doi.org/10.1016/j.jadohealth.2019.09.011
Chi G, Fang H, Chatterjee S, Blumenstock JE, 2022. Microestimates of wealth for all low- and middle-income countries. Proc Natl Acad Sci USA 119:e2113658119. DOI: https://doi.org/10.1073/pnas.2113658119
Cordaid Zimbabwe, 2024. Improving Maternal and Child Health in Zimbabwe. Accessed 6.16.25. Available at https://www.cordaid.org/en/news/health-sector-development-project-zimbabwe
DHS Program, 2015. Modeled Surfaces: Zimbabwe 2015 DHS. Spatial Data Repository. Accessed 6.16.25. Available from: https://spatialdata.dhsprogram.com/modeled-surfaces/#survey=ZW|2015|DHS
Dickson KS, Okyere J, Ahinkorah BO, Seidu AA, Salihu T, Bediako V, Owusu BA, Budu E, Agbemavi W, Edjah JO, Darteh EKM, 2022. Skilled antenatal care services utilisation in sub-Saharan Africa: a pooled analysis of demographic and health surveys from 32 countries. BMC Pregnancy Childbirth 22:831. DOI: https://doi.org/10.1186/s12884-022-05137-5
Dijkstra L, Florczyk AJ, Freire S, Kemper T, Melchiorri M, Pesaresi M, Schiavina M, 2021. Applying the Degree of Urbanisation to the globe: A new harmonised definition reveals a different picture of global urbanisation. J. Urban Econ, Delineation of Urban Areas 125:103312. DOI: https://doi.org/10.1016/j.jue.2020.103312
Dunkle SE, Wallace AS, MacNeil A, Mustafa M, Gasasira A, Ali D, Elmousaad H, Mahoney F, Sandhu HS, 2014. Limitations of Using Administratively Reported Immunization Data for Monitoring Routine Immunization System Performance in Nigeria. J Infect Dis 210:S523–30. DOI: https://doi.org/10.1093/infdis/jiu373
Elliott P, Wartenberg D, 2004. Spatial epidemiology: Current approaches and future challenges. Environ. Health Perspect 112:998–1006. DOI: https://doi.org/10.1289/ehp.6735
Escamilla V, Calhoun L, Winston J, Speizer IS, 2018. The Role of Distance and Quality on Facility Selection for Maternal and Child Health Services in Urban Kenya. J Urban Health 95:1–12. DOI: https://doi.org/10.1007/s11524-017-0212-8
Farnham A, Loss G, Lyatuu I, Cossa H, Kulinkina AV, Winkler MS, 2023. A roadmap for using DHIS2 data to track progress in key health indicators in the Global South: experience from sub-saharan Africa. BMC Public Health 23:1030. DOI: https://doi.org/10.1186/s12889-023-15979-z
Faye CM, Mberu B, Boerma T, 2024. Progress in Maternal, Newborn, and Child Health in Cities in Sub-Saharan Africa: Are Wide Inequities Holding Back Cities? J Urban Health Bull NY Acad Med 101:1–4. DOI: https://doi.org/10.1007/s11524-024-00936-x
Fichera E, Anselmi L, Gwati G, Brown G, Kovacs R, Borghi J, 2024. Can Results‑Based Financing improve health outcomes in resource poor settings? Evidence from Zimbabwe. ResearchGate. https://doi.org/10.1016/j.socscimed.2021.113959 DOI: https://doi.org/10.1016/j.socscimed.2021.113959
Ganchimeg T, Ota E, Morisaki N, Laopaiboon M, Lumbiganon P, Zhang J, Yamdamsuren B, Temmerman M, Say L, Tunçalp Ö, Vogel JP, Souza JP, Mori R; WHO Multicountry Survey on Maternal Newborn Health Research Network, 2014. Pregnancy and childbirth outcomes among adolescent mothers: a World Health Organization multicountry study. BJOG Int J Obstet Gynaecol 121:40–8. DOI: https://doi.org/10.1111/1471-0528.12630
Gao J, Yang X, Tang L, Ren C, Zhang X, Li Q, 2020. Understanding urban hospital bypass behaviour based on big trace data. Cities 103:102739. DOI: https://doi.org/10.1016/j.cities.2020.102739
Gething P, Tatem A, Bird T, Burgert-Brucker CR, 2015. Creating spatial interpolation surfaces with DHS data, Spatial Analysis Reports No. 11.Rockville, Maryland, USA: ICF International. Accessed 6.16.25. Available at https://dhsprogram.com/pubs/pdf/SAR11/SAR11.pdf
Graham WJ, Cairns J, Bhattacharya S, Bullough CHW, Quayyum Z, Rogo K, 2006. Maternal and Perinatal Conditions. In: Jamison DT, Breman JG, Measham AR, et al., (eds). Disease Control Priorities in Developing Countries. 2nd edition. Washington DC: The International Bank for Reconstruction and Development / The World Bank. Chapter 26.
Heyi, WD, Macharia, PM, Asefa A, Beňová L, Olagunju OS, Mekonnen W, 2025. Geographic disparities in antenatal care utilization in Addis Ababa city, Ethiopia using demographic and health survey data: A small area estimation approach. Sex Reprod Healthc 46:101156. DOI: https://doi.org/10.1016/j.srhc.2025.101156
Hierink F, Boo G, Macharia PM, Ouma PO, Timoner P, Levy M, Tschirhart K, Leyk S, Oliphant N, Tatem AJ, Ray N, 2022. Differences between gridded population data impact measures of geographic access to healthcare in sub-Saharan Africa. Commun Med 2:117. DOI: https://doi.org/10.1038/s43856-022-00179-4
Institute for Health Metrics and Evaluation (IHME), 2017. Low- and Middle-Income Country Educational Attainment Geospatial Estimates 2000-2017. https://doi.org/10.6069/1S4Y-FP03
Jacobs C, Musukuma M, Hamoonga R, Sikapande B, Chooye O, et al, 2024. Trends and Inequalities in Maternal and Newborn Health Services for Unplanned Settlements of Lusaka City, Zambia. J Urban Health 101:125–37. DOI: https://doi.org/10.1007/s11524-024-00837-z
Janocha B, Donohue RE, Fish TD, Mayala BK, Croft TN, 2021. Guidance and recommendations for the use of indicator estimates at subnational administrative level 2. DHS Spatial Analysis Reports No. 20. Rockville, Maryland, USA. Accessed 6.16.25. Available at https://dhsprogram.com/pubs/pdf/SAR20/SAR20.pdf
Johnson M, Adewole WA, Alegana V, Utazi, CE, McGrath N, Wright J, 2025. A scoping review of the methods used to estimate health facility catchment populations for child health indicators in sub-Saharan Africa. Popul Health Metr 23:1–37. DOI: https://doi.org/10.1186/s12963-025-00374-0
Kagoye S, Minja J, Ricardo L, Shabani J, Bajaria S, et al, 2024. High Child Mortality and Interventions Coverage in the City of Dar es Salaam, Tanzania: Are the Poorest Paying an Urban Penalty? J Urban Health 101:92–106. DOI: https://doi.org/10.1007/s11524-023-00813-z
Kassa GM, Arowojolu AO, Odukogbe AA, Yalew AW, 2018. Prevalence and determinants of adolescent pregnancy in Africa: a systematic review and Meta-analysis. Reprod Health 15:195. DOI: https://doi.org/10.1186/s12978-018-0640-2
Kassa ZY, Scarf V, Turkmani S, Fox D, 2024. Impact of COVID-19 on Maternal Health Service Uptake and Perinatal Outcomes in Sub-Saharan Africa: A Systematic Review. Int J Environ Res Public Health 21:1188. DOI: https://doi.org/10.3390/ijerph21091188
Kawakita T, Wilson K, Grantz KL, Landy HJ, Huang CC, Gomez-Lobo V, 2016. Adverse maternal and neonatal outcomes in adolescent pregnancy. J Pediatr Adolesc Gynecol 29:130–6. DOI: https://doi.org/10.1016/j.jpag.2015.08.006
Khaki JJ, Molenaar J, Karki S, Olal E, Straneo M, Mosuse MA, Fouogue JT, Hensen B, Baguiya A, Musau Nkola A, Wong KLM, Ba OA, Kikula A, Grovogui FM, Semaan A, Asefa A, Macharia PM, Chikwari CD, Ouédraogo MO, Christou A, Okiro EA, Mutua MK, Amodu A, Phiri M, Athanase R, Kitara DL, Owolabi O, Pembe AB, Afolabi BB, Beňová L, 2025. When health data go dark: the importance of the DHS Program and imagining its future. BMC Med 23:241. DOI: https://doi.org/10.1186/s12916-025-04062-6
Local Burden of Disease Educational Attainment Collaborators, 2020. Mapping disparities in education across low- and middle-income countries. Nature 577:235-8. DOI: https://doi.org/10.1038/s41586-019-1872-1
Macharia PM, Banke-Thomas A, Beňová L, 2023a. Advancing the frontiers of geographic accessibility to healthcare services. Commun Med 3:158. DOI: https://doi.org/10.1038/s43856-023-00391-w
Macharia PM, Benová L, Pinchoff J, Semaan A, Pembe AB, Christou A, Hanson C, 2023b. Neonatal and perinatal mortality in the urban continuum: a geospatial analysis of the household survey, satellite imagery and travel time data in Tanzania. BMJ Glob. Health 8:011253. DOI: https://doi.org/10.1136/bmjgh-2022-011253
Macharia PM, Odhiambo JN, Mumo E, Maina A, Giorgi E, Okiro E.A, 2023c. Approaches to Defining Health Facility Catchment Areas in Sub-Saharan Africa. In: Adewoyin, Y. (eds) Health and Medical Geography in Africa. Global Perspectives on Health Geography. Springer, Cham. https://doi.org/10.1007/978-3-031-41268-4_21 DOI: https://doi.org/10.1101/2022.08.18.22278927
Macharia PM, Pinchoff J, Taylor C, Benová L, 2023d. Exploring the urban gradient in population health: insights from satellite-derived urbanicity classes across multiple countries and years in sub-Saharan Africa. BMJ Glob Health 8:13471. DOI: https://doi.org/10.1136/bmjgh-2023-013471
Macharia PM, Ray N, Giorgi E, Okiro EA, Snow RW, 2021. Defining service catchment areas in low-resource settings. BMJ Glob Health 6:e006381. DOI: https://doi.org/10.1136/bmjgh-2021-006381
Macharia PM, Wong KLM, Beňová L, Wang J, Makanga PT, Ray N, Banke-Thomas A, 2024. Measuring geographic access to emergency obstetric care: a comparison of travel time estimates modelled using Google Maps Directions API and AccessMod in three Nigerian conurbations. Geospat Health 19:1266. DOI: https://doi.org/10.4081/gh.2024.1266
Maheshwari MV, Khalid N, Patel PD, Alghareeb R, Hussain A, 2022. Maternal and neonatal outcomes of adolescent pregnancy: a narrative review. Cureus 14:e25921. DOI: https://doi.org/10.7759/cureus.25921
Maïga A, Amouzou A, Bagayoko M, Faye CM, Jiwani SS, et al, 2021. Measuring coverage of maternal and child health services using routine health facility data: a Sierra Leone case study. BMC Health Serv Res 21:1–12. DOI: https://doi.org/10.1186/s12913-021-06529-7
Matthews Z, Channon A, Neal S, Osrin D, Madise N, Stones W, 2010. Examining the “Urban Advantage” in Maternal Health Care in Developing Countries. PLoS Med 7:e1000327. DOI: https://doi.org/10.1371/journal.pmed.1000327
Mcdonagh M, 1996. Is antenatal care effective in reducing maternal morbidity and mortality? Health Policy Plan 11:1-15. DOI: https://doi.org/10.1093/heapol/11.1.1
Mekonnen W, Dechassa W, Melesse DY, Tejedor-Garavito N, Nilsen K, Getachew T, Mulu S, Wondrad N, 2024. Inter-district and Wealth-related Inequalities in Maternal and Child Health Service Coverage and Child Mortality within Addis Ababa City. J Urban Health 101:68–80. DOI: https://doi.org/10.1007/s11524-024-00836-0
Menashe-Oren A, Masquelier B, 2022. The shifting rural–urban gap in mortality over the life course in low- and middle-income countries. Popul Stud 76:37–61. DOI: https://doi.org/10.1080/00324728.2021.2020326
Meta Data for Good, 2024. Data For Good at Meta Relative Wealth Index. Accessed 6.16.25. Available at https://dataforgood.facebook.com/dfg/tools/relative-wealth-index/#methodology
Ministry of Health - Zimbabwe, Global Financing Facility (GFF), 2022. Zimbabwe Overall Country Report. Global Financing Facility (GFF).
Ministry of Health and Child Care (MoHCC), Zimbabwe, 2016. National Adolescent and Youth Sexual and Reproductive Health Strategy M&E Framework 2016–2020. Ministry of Health and Child Care, Harare, Zimbabwe.
Ministry of Health and Child Care (MoHCC), Zimbabwe, 2020. Guidelines on Routine information use.
Ministry of Health and Child Care (MoHCC), Zimbabwe, 2021. National Health Strategy 2021 - 2025.
Moraga P, 2019. Geospatial Health Data: Modeling and Visualization with R‑INLA and Shiny. Chapman & Hall/CRC Biostatistics Series. DOI: https://doi.org/10.1201/9780429341823
Ngo-Bebe D, Kwilu FN, Konde JN, Ishoso DK, Langwana F, et al, 2025. Reasons for over-reporting of routine immunization administrative data in the Democratic Republic of Congo: a mixed cross-sectional study to determine explanatory factors for poor data quality. BMC Public Health 25:3272. DOI: https://doi.org/10.1186/s12889-025-24639-3
Njogu A, Libertini L, Avahoundjè EM, Grovogui FM, Ba OA, Ray N, Beňová L, Macharia PM, 2025. Big data in modelling geographical accessibility to healthcare: a scoping review protocol. BMJ Open 15:e101567. DOI: https://doi.org/10.1136/bmjopen-2025-101567
Norris M, Klabbers G, Pembe AB, Hanson C, Baker U, Aung K, Mmweteni M, Mfaume RS, Beňová L, 2022. A growing disadvantage of being born in an urban area? Analysing urban-rural disparities in neonatal mortality in 21 African countries with a focus on Tanzania. BMJ Glob. Health 7:544. DOI: https://doi.org/10.1136/bmjgh-2021-007544
Osika J, Altman D, Ekbladh L, Katz I, Nguyen H, Williamson JST, Tapera S, 2010. Zimbabwe Health System Assessment 2010, Bethesda, MD. Available at https://www.medbox.org/index.php/dl/5e148832db60a2044c2d2646 (accessed 6.16.25)
Powell-Jackson T, Mazumdar S, Mills A, 2015. Financial incentives in health: New evidence from India’s Janani Suraksha Yojana. J Health Econ 43:154–69. DOI: https://doi.org/10.1016/j.jhealeco.2015.07.001
Santos TM, Cata-Preta BO, Wendt A, Arroyave L, Blumenberg C, Mengistu T, Hogan DR, Victora CG, Barros AJD, 2024. Exploring the “Urban Advantage” in Access to Immunization Services: A Comparison of Zero-Dose Prevalence Between Rural, and Poor and Non-poor Urban Households Across 97 Low- and Middle-Income Countries. J. Urban Health 101:638–47. DOI: https://doi.org/10.1007/s11524-024-00859-7
Schiavina M, Melchiorri M, Pesaresi M, 2023. GHS-SMOD R2023A - GHS settlement layers, application of the Degree of Urbanisation methodology (stage I) to GHS-POP R2023A and GHS-BUILT-S R2023A, multitemporal (1975-2030). https://doi.org/10.2905/A0DF7A6F-49DE-46EA-9BDE-563437A6E2BA
Shakespeare C, Dube H, Moyo S, Ngwenya S, 2021. Resilience and vulnerability of maternity services in Zimbabwe: a comparative analysis of the effect of Covid-19 and lockdown control measures on maternal and perinatal outcomes, a single-centre cross-sectional study at Mpilo Central Hospital. BMC Pregnancy Childbirth 21:416. DOI: https://doi.org/10.1186/s12884-021-03884-5
Silvestre E, 2020. A Practical Guide to Using Routine Data in Evaluation. University of North Carolina at Chapel Hill, Chapel Hill, NC 27516 USA.
Sithole SM, Musakwa W, Magidi J, Kibangou AY, 2024. Characterising landcover changes and urban sprawl using geospatial techniques and landscape metrics in Bulawayo, Zimbabwe (1984–2022). Heliyon 10:e27275. DOI: https://doi.org/10.1016/j.heliyon.2024.e27275
Sy I, Sandie AB, Sylla EM, Cissé B, Fall NA, Sow MO, Silla NB, Faye CM, Diène AN, 2024. Spatial and Socioeconomic Inequalities in Cesarean Section Deliveries in Urban Settings in Dakar, Senegal. J. Urban Health 101;81–91. DOI: https://doi.org/10.1007/s11524-024-00835-1
Tanser F, Gijsbertsen B, Herbst K, 2006. Modelling and understanding primary health care accessibility and utilization in rural South Africa: An exploration using a geographical information system. Soc Sci Med 63:691–705. DOI: https://doi.org/10.1016/j.socscimed.2006.01.015
Tatem AJ, 2017. WorldPop, open data for spatial demography. Sci Data 2017 41:1–4. DOI: https://doi.org/10.1038/sdata.2017.4
Tekelab T, Chojenta C, Smith R, Loxton D, 2019. The impact of antenatal care on neonatal mortality in sub-Saharan Africa: A systematic review and meta-analysis. PLoS ONE 14:e0222566. DOI: https://doi.org/10.1371/journal.pone.0222566
Tessema ZT, Teshale AB, Tesema GA, Tamirat KS, 2021. Determinants of completing recommended antenatal care utilization in sub-Saharan from 2006 to 2018: evidence from 36 countries using Demographic and Health Surveys. BMC Pregnancy Childbirth 21:192. DOI: https://doi.org/10.1186/s12884-021-03669-w
Thabethe SS, Mathews VE, 2024. Quality of routine health data in DHIS2 in South Africa: Eastern Cape province from 2017–2020. South Afr J Inf Manag 26:12. DOI: https://doi.org/10.4102/sajim.v26i1.1903
Tobler WR, 1970. A Computer Movie Simulating Urban Growth in the Detroit Region. Econ Geogr 46:234. DOI: https://doi.org/10.2307/143141
Traoré M, Coulibaly D, Diawara F, Terera I, Dembelé H, Maiga AI, Iknane AA, Maïga A, Amouzou A, 2024. Trends in Coverage and Content of Maternal and Neonatal Care in Bamako, Mali. J Urban Health Bull NY Acad Med 101:57–67. DOI: https://doi.org/10.1007/s11524-024-00931-2
U.S. Census Bureau, 2025. International Database: World Population Estimates and Projections. Accessed 6.16.25. Available at https://www.census.gov/programs-surveys/international-programs/about/idb.html
UNFPA, UNICEF, UNESCO, CESSHAR, 2023. National Assessment of Adolescent Pregnancies in Zimbabwe. Accessed 6.16.25. Available at https://www.unicef.org/zimbabwe/reports/national-assessment-adolescent-pregnancy-zimbabwe
Watmough, G.R, Hagdorn, M, Brumhead, J, Seth, S, Delamónica, E, Haddon, C, Smith WC, 2022. Using open-source data to construct 20 metre resolution maps of children’s travel time to the nearest health facility. Sci Data 2022 91:1–13. DOI: https://doi.org/10.1038/s41597-022-01274-w
World Bank, 2019. Improving Access to Maternal Health for Zimbabwe’s Expectant Mothers. World Bank. Accessed 5.29.25. Available at https://www.worldbank.org/en/news/feature/2019/01/10/improving-access-to-maternal-health-for-zimbabwes-expectant-mothers
World Health Organization, 2016. WHO recommendations on antenatal care for a positive pregnancy experience. World Health Organization, Geneva.
World Health Organization, 2023. Data Quality Assurance: Module 1 – Framework and Metrics. World Health Organization, Geneva.
WorldPop, 2025. Open Spatial Demographic Data and Research. WorldPop. Accessed 4.10.25. https://www.worldpop.org/about/
Zimbabwe National Family Planning Council, 2025. About Us: Zimbabwe National Family Planning Council (ZNFPC). Accessed 6.16.25. Available at https://www.znfpc.org.zw/about-us/
Zimbabwe National Statistics Agency (ZIMSTAT), ICF International, 2025. Zimbabwe Demographic and Health Survey 2023– 24: Final Report. Harare, Zimbabwe, and Rockville, Maryland, USA.
Zimbabwe National Statistics Agency, 2023. Zimbabwe 2022 Population and Housing Census Report: Volume1. Zimbabwe National Statistics Agency (ZIMSTAT), Harare, Zimbabwe.

How to Cite



Spatio-temporal variations and determinants of antenatal care utilization among adolescents in Bulawayo metropolitan area, Zimbabwe: an analysis of routine data, 2019-2024. (2025). Geospatial Health, 20(2). https://doi.org/10.4081/gh.2025.1434