ReviewFrontiers in public health2023
Learning from pandemic responses: Informing a resilient and equitable health system recovery in Thailand.
Review in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Changes in the Epidemiology of Multidrug-Resistant Organisms During the COVID-19 Pandemic: A Six-Year Retrospective Study at a Tertiary Care Hospital in Northeastern Thailand.Medical sciences (Basel, Switzerland) · 2026Observational
- The CI plus model: a qualitative study of innovative community isolation and enhanced resilience in urban Thailand during the COVID-19 crisis.BMC infectious diseases · 2026Article
- Resilience model of public health sector during unknown pandemics: a grounded theory approach for COVID-19 in Iran.BMC public health · 2025Article
- Thinking politically about intersectoral action: Ideas, Interests and Institutions shaping political dimensions of governing during COVID-19.Health policy and planning · 2024Article
- Article
- Utilisation of and factors associated with non-COVID-19 healthcare services in public facilities amongst cross-border migrants in Thailand, 2019-2022.BMC public health · 2024Article
- The effect of adaptive capacity on resilience to the COVID-19 pandemic: A cross-country analysis.Jamba (Potchefstroom, South Africa) · 2024Article
- Policies and practices to attract, retain, support, and reskill health and care workers during the COVID-19 pandemic and future workforce development in Thailand.Journal of global health · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
This article is part of the Research Topic 'Health Systems Recovery in the Context of COVID-19 and Protracted Conflict'. The third quarter of 2022 saw COVID-19 cases and deaths in Thailand reduced significantly, and high levels of COVID-19 vaccine coverage. COVID-19 was declared an "endemic" disease, and economic activities resumed. This paper reviews pre-pandemic health systems capacity and identifies pandemic response strengths, weaknesses and lessons that guided resilient and equitable health system recovery. Robust health systems and adaptive strategies drive an effective pandemic response. To support health system recovery Thailand should (1) minimize vulnerability and extend universal health coverage to include migrant workers and dependents; (2) sustain provincial primary healthcare (PHC) capacity and strengthen PHC in greater Bangkok; (3) leverage information technology for telemedicine and teleconsultation; (4) enhance and extend case and event-based surveillance of notifiable diseases, and for public health threats, including pathogens with pandemic potential in wildlife and domesticated animals. This requires policy and financial commitment across successive governments, adequate numbers of committed and competent health workforce at all levels supported by over a million village health volunteers, strong social capital and community resilience. A strengthened global health architecture and international collaboration also have critical roles in establishing local capacities to develop and manufacture pandemic response products through transfer of technology and know-how. Countries should engage in the ongoing Inter-government Negotiating Body to ensure a legally binding instrument to safeguard the world from catastrophic impacts of future pandemics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.