Prediction of incomplete immunization among under-five children in East Africa from recent demographic and health … – Nature.com
Miller, M. A. & Hinman, A. R. In Vaccines, 6th edn (eds Plotkin, S. A., Orenstein, W. A., & Offit, P. A.) 14131426 (W.B. Saunders, 2013).
Ozawa, S. et al. Return on investment from childhood immunization in low- and middle-income countries, 201120. Health Aff. (Project Hope) 35, 199207. https://doi.org/10.1377/hlthaff.2015.1086 (2016).
Article Google Scholar
Bloom, D. E. In Hot Topics in Infection and Immunity in Children VII (eds Curtis, N., Finn, A., & Pollard, A. J.) 18 (Springer, 2011).
Sim, S. Y., Watts, E., Constenla, D., Brenzel, L. & Patenaude, B. N. Return on investment from immunization against 10 pathogens in 94 low- and middle-income countries, 201130. Health Aff. (Project Hope) 39, 13431353. https://doi.org/10.1377/hlthaff.2020.00103 (2020).
Article Google Scholar
Machingaidze, S., Wiysonge, C. S. & Hussey, G. D. Strengthening the expanded programme on immunization in Africa: Looking beyond 2015. PLoS Med. 10, e1001405 (2013).
Article PubMed PubMed Central Google Scholar
Masud, T. & Navaratne, K. V. The expanded program on immunization in Pakistan: Recommendations for improving performance. (2012).
WHO/UNICEF. Progress and challenges with achieving universal immunization coverage. (2020).
WHO and UNICEF: Progress and Challenges with Achieving Universal Immunization Coverage. (WHO/UNICEF Estimates of National Immunization Coverage, J., 2019).
UNICEF. Under Five Mortality. https://data.unicef.org/topic/child-survival/under-five-mortality/ (2023).
WHO/UNICEF. Estimates of National Immunization Coverage. http://www.who.int/news-room/fact-sheets/detail/immunization-coverage (2021).
Debie, A., Lakew, A. M., Tamirat, K. S., Amare, G. & Tesema, G. A. Complete vaccination service utilization inequalities among children aged 1223 months in Ethiopia: A multivariate decomposition analyses. Int. J. Equity Health 19, 65. https://doi.org/10.1186/s12939-020-01166-8 (2020).
Article PubMed PubMed Central Google Scholar
UNICEF. (2020).
Faisal, S. et al. Modeling the factors associated with incomplete immunization among children. Math. Probl. Eng. 2022 (2022).
Negussie, A., Kassahun, W., Assegid, S. & Hagan, A. K. Factors associated with incomplete childhood immunization in Arbegona district, southern Ethiopia: A case-control study. BMC Public Health 16, 27. https://doi.org/10.1186/s12889-015-2678-1 (2016).
Article PubMed PubMed Central Google Scholar
Nour, T. Y. et al. Predictors of immunization coverage among 1223 month old children in Ethiopia: Systematic review and meta-analysis. BMC Public Health 20, 1803. https://doi.org/10.1186/s12889-020-09890-0 (2020).
Article PubMed PubMed Central Google Scholar
Tesema, G. A., Tessema, Z. T., Tamirat, K. S. & Teshale, A. B. Complete basic childhood vaccination and associated factors among children aged 1223 months in East Africa: A multilevel analysis of recent demographic and health surveys. BMC Public Health 20, 1837. https://doi.org/10.1186/s12889-020-09965-y (2020).
Article PubMed PubMed Central Google Scholar
Skull, S. A., Ngeow, J. Y. Y., Hogg, G. & Biggs, B.-A. Incomplete immunity and missed vaccination opportunities in East African immigrants settling in Australia. J. Immigr. Minor. Health 10, 263268. https://doi.org/10.1007/s10903-007-9071-9 (2008).
Article PubMed Google Scholar
Adedokun, S. T., Uthman, O. A., Adekanmbi, V. T. & Wiysonge, C. S. Incomplete childhood immunization in Nigeria: A multilevel analysis of individual and contextual factors. BMC Public Health 17, 236. https://doi.org/10.1186/s12889-017-4137-7 (2017).
Article PubMed PubMed Central Google Scholar
Russo, G. et al. Vaccine coverage and determinants of incomplete vaccination in children aged 1223 months in Dschang, West Region, Cameroon: A cross-sectional survey during a polio outbreak. BMC Public Health 15, 630. https://doi.org/10.1186/s12889-015-2000-2 (2015).
Article PubMed PubMed Central Google Scholar
Mohamud Hayir, T. M., Magan, M. A., Mohamed, L. M., Mohamud, M. A. & Muse, A. A. Barriers for full immunization coverage among under 5 years children in Mogadishu, Somalia. J. Fam. Med. Prim. Care 9, 26642669. https://doi.org/10.4103/jfmpc.jfmpc_119_20 (2020).
Article Google Scholar
Kebede Kassaw, A. A. et al. Spatial distribution and machine learning prediction of sexually transmitted infections and associated factors among sexually active men and women in Ethiopia, evidence from EDHS 2016. BMC Infect. Dis. 23, 49. https://doi.org/10.1186/s12879-023-07987-6 (2023).
Article PubMed PubMed Central Google Scholar
DHS. Data Collection. https://www.dhsprogram.com/Data/.
Etana, B. & Deressa, W. Factors associated with complete immunization coverage in children aged 1223 months in Ambo Woreda, Central Ethiopia. BMC Public Health 12, 566. https://doi.org/10.1186/1471-2458-12-566 (2012).
Article PubMed PubMed Central Google Scholar
Kassahun, M. B., Biks, G. A. & Teferra, A. S. Level of immunization coverage and associated factors among children aged 1223 months in Lay Armachiho District, North Gondar Zone, Northwest Ethiopia: A community based cross sectional study. BMC. Res. Notes 8, 239. https://doi.org/10.1186/s13104-015-1192-y (2015).
Article PubMed PubMed Central Google Scholar
Sheikh, N. et al. Coverage, timelines, and determinants of incomplete immunization in Bangladesh. Trop. Med. Infect. Dis. 3, 72 (2018).
Article PubMed PubMed Central Google Scholar
Bugvi, A. S. et al. Factors associated with non-utilization of child immunization in Pakistan: Evidence from the Demographic and Health Survey 200607. BMC Public Health 14, 232. https://doi.org/10.1186/1471-2458-14-232 (2014).
Article PubMed PubMed Central Google Scholar
Tadesse, H., Deribew, A. & Woldie, M. Predictors of defaulting from completion of child immunization in south Ethiopia, May 2008A case control study. BMC Public Health 9, 150. https://doi.org/10.1186/1471-2458-9-150 (2009).
Article PubMed PubMed Central Google Scholar
Jani, J. V., De Schacht, C., Jani, I. V. & Bjune, G. Risk factors for incomplete vaccination and missed opportunity for immunization in rural Mozambique. BMC Public Health 8, 161. https://doi.org/10.1186/1471-2458-8-161 (2008).
Article PubMed PubMed Central Google Scholar
De, P. & Bhattacharya, B. N. Determinants of child immunization in fourless-developed states of North India. J. Child Health Care 6, 3450 (2002).
Article Google Scholar
Rahman, M. & Obaida-Nasrin, S. Factors affecting acceptance of complete immunization coverage of children under five years in rural Bangladesh. Salud pblica de mxico 52, 134140 (2010).
Article PubMed Google Scholar
Atnafu, A. et al. Prevalence and determinants of incomplete or not at all vaccination among children aged 1236 months in Dabat and Gondar districts, northwest of Ethiopia: Findings from the primary health care project. BMJ Open 10, e041163. https://doi.org/10.1136/bmjopen-2020-041163 (2020).
Article PubMed PubMed Central Google Scholar
Melaku, M. S., Nigatu, A. M. & Mewosha, W. Z. Spatial distribution of incomplete immunization among under-five children in Ethiopia: Evidence from 2005, 2011, and 2016 Ethiopian Demographic and health survey data. BMC Public Health 20, 1362. https://doi.org/10.1186/s12889-020-09461-3 (2020).
Article PubMed PubMed Central Google Scholar
Pedregosa, F. et al. Scikit-learn: Machine learning in Python. J. Mach. Learn. Res. 12, 28252830 (2011).
MathSciNet Google Scholar
Chen, T. & Guestrin, C. XGBoost: A Scalable Tree Boosting System. (2016).
Lundberg, S. M. et al. From local explanations to global understanding with explainable AI for trees. Nat. Mach. Intell. 2, 5667. https://doi.org/10.1038/s42256-019-0138-9 (2020).
Article PubMed PubMed Central Google Scholar
Rawat, S., Rawat, A., Kumar, D. & Sabitha, A. S. Application of machine learning and data visualization techniques for decision support in the insurance sector. Int. J. Inf. Manag. Data Insights 1, 100012 (2021).
Google Scholar
Guo, Y. The 7 steps of machine learning (2017). towardsdatascience.com (2017).
Brownlee, J. Data Preparation for Machine Learning: Data Cleaning, Feature Selection, and Data Transforms in Python (Machine Learning Mastery, 2020).
Yu, L. & Liu, H. In Proceedings of the 20th International Conference on Machine Learning (ICML-03). 856863.
Bekele, W. T. Machine learning algorithms for predicting low birth weight in Ethiopia. BMC Med. Inform. Decis. Mak. 22, 232. https://doi.org/10.1186/s12911-022-01981-9 (2022).
Article PubMed PubMed Central Google Scholar
Bitew, F. H., Sparks, C. S. & Nyarko, S. H. Machine learning algorithms for predicting undernutrition among under-five children in Ethiopia. Public Health Nutr. 112 (2021).
Chilyabanyama, O. N. et al. Performance of machine learning classifiers in classifying stunting among under-five children in Zambia. Children (Basel, Switzerland). https://doi.org/10.3390/children9071082 (2022).
Article PubMed PubMed Central Google Scholar
Emmanuel, M. Application of Machine Learning Methods in Analysis of Infant Mortality in Rwanda: Analysis of Rwanda Demographic Health Survey 201415 Dataset (University of Rwanda, 2021).
Fenta, H. M., Zewotir, T. & Muluneh, E. K. A machine learning classifier approach for identifying the determinants of under-five child undernutrition in Ethiopian administrative zones. BMC Med. Inform. Decis. Mak. 21, 112 (2021).
Article Google Scholar
Kananura, R. M. Machine learning predictive modelling for identification of predictors of acute respiratory infection and diarrhoea in Ugandas rural and urban settings. PLoS Glob. Public Health 2, e0000430. https://doi.org/10.1371/journal.pgph.0000430 (2022).
Article PubMed PubMed Central Google Scholar
Saroj, R. K., Yadav, P. K., Singh, R. & Chilyabanyama, O. N. Machine learning algorithms for understanding the determinants of under-five mortality. BioData Min. 15, 20. https://doi.org/10.1186/s13040-022-00308-8 (2022).
Article PubMed PubMed Central Google Scholar
Tesfaye, B., Atique, S., Azim, T. & Kebede, M. M. Predicting skilled delivery service use in Ethiopia: Dual application of logistic regression and machine learning algorithms. BMC Med. Inform. Decis. Mak. 19, 209. https://doi.org/10.1186/s12911-019-0942-5 (2019).
Article PubMed PubMed Central Google Scholar
Bekkar, M., Djemaa, H. K. & Alitouche, T. A. Evaluation measures for models assessment over imbalanced data sets. J. Inf. Eng. Appl. 3, 1533 (2013).
Google Scholar
Yang, L. & Shami, A. On hyperparameter optimization of machine learning algorithms: Theory and practice. Neurocomputing 415, 295316. https://doi.org/10.1016/j.neucom.2020.07.061 (2020).
Article Google Scholar
Kebede, S. D. et al. Prediction of contraceptive discontinuation among reproductive-age women in Ethiopia using Ethiopian Demographic and Health Survey 2016 Dataset: A machine learning approach. BMC Med. Inform. Decis. Mak. 23, 9. https://doi.org/10.1186/s12911-023-02102-w (2023).
Article PubMed PubMed Central Google Scholar
Wang, K. et al. Interpretable prediction of 3-year all-cause mortality in patients with heart failure caused by coronary heart disease based on machine learning and SHAP. Comput. Biol. Med. 137, 104813. https://doi.org/10.1016/j.compbiomed.2021.104813 (2021).
Article PubMed Google Scholar
Lundberg, S. M. & Lee, S.-I. A unified approach to interpreting model predictions. Adv. Neural Inf. Process. Syst. 30 (2017).
Li, Q., Zhang, Y., Kang, H., Xin, Y. & Shi, C. Mining association rules between stroke risk factors based on the Apriori algorithm. Technol. Health Care. 25, 197205. https://doi.org/10.3233/thc-171322 (2017).
Article PubMed Google Scholar
Chandir, S. et al. Using predictive analytics to identify children at high risk of defaulting from a routine immunization program: Feasibility study. JMIR Public Health Surveill. 4, e9681 (2018).
Article Google Scholar
Mutua, M. K., Kimani-Murage, E. & Ettarh, R. R. Childhood vaccination in informal urban settlements in Nairobi, Kenya: Who gets vaccinated?. BMC Public Health 11, 6. https://doi.org/10.1186/1471-2458-11-6 (2011).
Article PubMed PubMed Central Google Scholar
Landoh, D. E. et al. Predictors of incomplete immunization coverage among one to five years old children in Togo. BMC Public Health 16, 968. https://doi.org/10.1186/s12889-016-3625-5 (2016).
Article PubMed PubMed Central Google Scholar
Pavlopoulou, I. D., Michail, K. A., Samoli, E., Tsiftis, G. & Tsoumakas, K. Immunization coverage and predictive factors for complete and age-appropriate vaccination among preschoolers in Athens, Greece: A cross- sectional study. BMC Public Health 13, 908. https://doi.org/10.1186/1471-2458-13-908 (2013).
Article PubMed PubMed Central Google Scholar
Zewdie, A., Letebo, M. & Mekonnen, T. Reasons for defaulting from childhood immunization program: A qualitative study from Hadiya zone, Southern Ethiopia. BMC Public Health 16, 1240. https://doi.org/10.1186/s12889-016-3904-1 (2016).
Article PubMed PubMed Central Google Scholar
Tauil, M. D. C., Sato, A. P. S. & Waldman, E. A. Factors associated with incomplete or delayed vaccination across countries: A systematic review. Vaccine 34, 26352643. https://doi.org/10.1016/j.vaccine.2016.04.016 (2016).
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