{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:50:11Z","timestamp":1760237411233,"version":"build-2065373602"},"reference-count":31,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2020,4,9]],"date-time":"2020-04-09T00:00:00Z","timestamp":1586390400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Informatics"],"abstract":"<jats:p>Debate regarding the impact of information and communication technology (ICT) on health outcomes has prompted researchers to conduct analyses across many parts of the globe, yet, still little is known about the ICT impact in the African continent. Using a robust multivariate approach, this study examined system-wide impact of ICT diffusion on multiple health outcomes for HIV and tuberculosis among sovereign countries of Africa. This study utilized longitudinal panel data from the World Bank and International Telecommunication Union databases between 2000 and 2016. We relied on a robust linear dynamic panel model to incorporate lagged time variables to estimate the relationships between ICT infrastructure (mobile phone use, internet access, and fixed-telephone subscriptions) and HIV and tuberculosis outcomes. Econometric analyses found that the coefficients of the aggregate ICT variables were all negative (except for fixed telephones) for tuberculosis health measures and HIV prevalence, and positive for access to antiretroviral therapy. The diffusion of mobile phones and internet was associated with decreased incidence of tuberculosis, HIV prevalence, and tuberculosis mortality rates. However, increased diffusion of these three ICT tools was associated with increased access to antiretroviral therapy. Thus, African governments should identify investment strategies for adopting and implementing ICT to improve population health outcomes.<\/jats:p>","DOI":"10.3390\/informatics7020011","type":"journal-article","created":{"date-parts":[[2020,4,9]],"date-time":"2020-04-09T14:42:03Z","timestamp":1586443323000},"page":"11","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Impact of Information and Communication Technology Diffusion on HIV and Tuberculosis Health Outcomes among African Health Systems"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6703-4649","authenticated-orcid":false,"given":"Sunny","family":"Ibeneme","sequence":"first","affiliation":[{"name":"ICT Department, Federal Ministry of Health Abuja, Abuja 900211, Nigeria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3230-0115","authenticated-orcid":false,"given":"Frances Lee","family":"Revere","sequence":"additional","affiliation":[{"name":"School of Public Health, The University of Texas Health Science Center, Houston, TX 77030, USA"}]},{"given":"Lu-Yu","family":"Hwang","sequence":"additional","affiliation":[{"name":"School of Public Health, The University of Texas Health Science Center, Houston, TX 77030, USA"}]},{"given":"Suja","family":"Rajan","sequence":"additional","affiliation":[{"name":"School of Public Health, The University of Texas Health Science Center, Houston, TX 77030, USA"}]},{"given":"Joseph","family":"Okeibunor","sequence":"additional","affiliation":[{"name":"World Health Organization\u2014African Regional Office, Brazzaville, Congo"}]},{"given":"Derrick","family":"Muneene","sequence":"additional","affiliation":[{"name":"World Health Organization\u2014African Regional Office, Brazzaville, Congo"}]},{"given":"James","family":"Langabeer","sequence":"additional","affiliation":[{"name":"School of Biomedical Informatics, The University of Texas Health Science Center, Houston, TX 77030, USA"}]}],"member":"1968","published-online":{"date-parts":[[2020,4,9]]},"reference":[{"key":"ref_1","unstructured":"World Bank. 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