Insights of Herbal Medicine(IHM)
ISSN: 2834-7749 | DOI: 10.33140/IHM
Folajinmi Oluwasina
Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Nigeria
Publications
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Research Article
Can Routine Health Management Information Systems Serve as Epidemic Early Warning Platforms? A Systematic Review and Meta-Analysis of Evidence from Low- and Middle-Income Countries
Author(s): Moses Luke*, Folajinmi Oluwasina, Shaibu Joseph, Jacob Ojedokun, Chibuike Ogbonnaya, Babade Ojo, Temitope Olorunmonu and Achor Olaitan
Background: Routine Health Management Information Systems (HMIS), particularly DHIS2-based platforms deployed across over 73 countries, represent the most comprehensive, geographically granular, and temporally continuous data infrastructure available to national health systems in low- and middle-income countries (LMICs). Whether these systems can reliably detect epidemic signals early enough to trigger timely public health responses has been widely debated but never systematically quantified. Answering this question is urgent: the COVID-19 pandemic exposed catastrophic early warning failures globally, the International Health Regulations (IHR) 2005 mandate national surveillance capacity, and the simultaneous scale-up of DHIS2 digital platforms creates an unprecedented opportunity to repurpose routine HMIS for epidemic intelligence, if the evidence supports it. .. Read More»