Gorkem SariyerSachin Kumar Kumar ManglaYigit KazancogluVranda JainMustafa Gökalp AtamanAtaman, Mustafa GokalpSariyer, GorkemJain, VrandaMangla, Sachin KumarKazancoglu, Yigit2025-10-062023004016250040-16251873-550910.1016/j.techfore.2023.1228862-s2.0-85173017066https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173017066&doi=10.1016%2Fj.techfore.2023.122886&partnerID=40&md5=a26915b8f6afcf97dbcedbecba1aabbfhttps://gcris.yasar.edu.tr/handle/123456789/8375https://doi.org/10.1016/j.techfore.2023.122886Grounded in big data analytics capabilities this study aims to model the COVID-19 spread globally by considering various factors such as demographic cultural health system economic technological and policy-based. Classified values on each country's case death and recovery numbers (per 1000000 population) were used to represent COVID-19 spread. Data sets also included 29 input variables for the corresponding six factors containing data from 159 countries. The proposed model used a Multilayer Perceptron algorithm. The results show that each of the pre-mentioned factors significantly affects disease spread. Urban population median age life expectancy numbers of medical doctors and nursing personnel current health expenditure as a % of GDP international health regulations capacity score continent literacy rate governmental response stringency index testing policy internet usage % human development index and GDP per capita were identified as significant. Taking early measures and adopting open public testing policies were recommended to policymakers in fighting pandemic diseases since the created scenarios on policy-based factors revealed their importance. © 2023 Elsevier B.V. All rights reserved.Englishinfo:eu-repo/semantics/closedAccessBig Data Analytics, Covid-19, Number Of Cases, Number Of Deaths, Policy-based Factors, Big Data, Data Analytics, Decision Making, Laws And Legislation, Big Data Analytic, Cross-country Studies, Data Analytics, Data Driven Decision, Decisions Makings, Number Of Case, Number Of Death, Policy-based, Policy-based Factor, Testing Policy, Covid-19, Age, Algorithm, Decision Making, Gross Domestic Product, Health Education, Health Policy, Health Worker, Life Expectancy, Urban PopulationBig data, Data Analytics, Decision making, Laws and legislation, Big data analytic, Cross-country studies, Data analytics, Data driven decision, Decisions makings, Number of case, Number of death, Policy-based, Policy-based factor, Testing policy, COVID-19, age, algorithm, decision making, Gross Domestic Product, health education, health policy, health worker, life expectancy, urban populationCOVID-19Number of DeathsBig Data AnalyticsPolicy-Based FactorsNumber of CasesArticle