ReviewJournal of global health2025
Enhancing human and animal health data integration and informed actions for pandemic preparedness at the primary healthcare level: a multisectoral conceptual framework.
Review in Journal of global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Integrating Primary Health Care into Flexible Surge Capacity: Bridging the Subnational "Missing Middle" in Health Emergency Preparedness.Healthcare (Basel, Switzerland) · 2026Review
- Advances in rapid detection technologies for zoonotic diseases: a one health-oriented review.Frontiers in cellular and infection microbiology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A key priority for strengthening global health capacity for pandemic response is rapid risk assessment for timely, context-specific decision-making. However, integrating human and animal health data for preparedness remains a challenge, especially at the primary healthcare (PHC) level. Here we review Vietnam's pandemic response and propose a conceptual framework for improving data integration across sectors in low- and middle-income countries. Despite the country's progress in health information systems and telehealth, disparities in data use and coordination between human and animal health sectors hindered effective responses. Existing mechanisms between healthcare and veterinary professionals lack integrated data-sharing, delaying risk communication and crisis management, particularly in rural areas with limited IT access and infrastructure. The proposed model includes five components: data interoperability with standardised indicators for real-time synthesis; robust digital health infrastructure and telehealth expansion; capacity building in data management for health and veterinary professionals; epidemic intelligence tools for risk assessment; and evidence-driven decision-making for coordinated epidemic responses. This model offers a pathway to strengthen health systems and improve pandemic preparedness at the PHC level in Vietnam and similar settings.
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Registered trials
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