{"title":"过去、现在和未来:泰国传染病模型的情景分析","authors":"Manit Sittimart, Chayapat Rachatan, Panchanok Muenkaew, Saudamini Vishwanath Dabak","doi":"10.1016/j.lansea.2025.100618","DOIUrl":null,"url":null,"abstract":"<div><div>Infectious disease modelling (IDM) is a useful tool supporting evidence to inform policies on disease outbreaks. Understanding situation, existing capacities and needs will enable countries to prepare and use the evidence derived from IDM for future outbreaks. This report maps Thailan's IDM landscape, identifies key stakeholders, and provides recommendations to develop a supportive ecosystem. We found that there is a moderate capacity to conduct and use IDM in Thailand. Users of IDM are spread across ministries and government level, while IDM evidence suppliers operate in departments in a few universities. Key challenges concern availability and quality of data, human resource capacity, integration of initiatives and communication mechanisms between evidence users and providers, and sustainable funding for IDM activities. Investing in human and data infrastructure, including IDM ecosystem development, could enhance Thailand's capacity to synthesise and use evidence for future outbreak preparedness, while also contributing to regional efforts in health security and outbreak response.</div></div><div><h3>Funding</h3><div>This study was supported by a grant from the <span>Rockefeller Foundation</span> [2022 ARO 004] and the <span>National Science, Research and Innovation Fund</span>, <span>Thailand Science Research and Innovation</span> (TSRI).</div></div>","PeriodicalId":75136,"journal":{"name":"The Lancet regional health. Southeast Asia","volume":"39 ","pages":"Article 100618"},"PeriodicalIF":5.0000,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Past, present, and future: a situational analysis of infectious disease modelling in Thailand\",\"authors\":\"Manit Sittimart, Chayapat Rachatan, Panchanok Muenkaew, Saudamini Vishwanath Dabak\",\"doi\":\"10.1016/j.lansea.2025.100618\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Infectious disease modelling (IDM) is a useful tool supporting evidence to inform policies on disease outbreaks. Understanding situation, existing capacities and needs will enable countries to prepare and use the evidence derived from IDM for future outbreaks. This report maps Thailan's IDM landscape, identifies key stakeholders, and provides recommendations to develop a supportive ecosystem. We found that there is a moderate capacity to conduct and use IDM in Thailand. Users of IDM are spread across ministries and government level, while IDM evidence suppliers operate in departments in a few universities. Key challenges concern availability and quality of data, human resource capacity, integration of initiatives and communication mechanisms between evidence users and providers, and sustainable funding for IDM activities. Investing in human and data infrastructure, including IDM ecosystem development, could enhance Thailand's capacity to synthesise and use evidence for future outbreak preparedness, while also contributing to regional efforts in health security and outbreak response.</div></div><div><h3>Funding</h3><div>This study was supported by a grant from the <span>Rockefeller Foundation</span> [2022 ARO 004] and the <span>National Science, Research and Innovation Fund</span>, <span>Thailand Science Research and Innovation</span> (TSRI).</div></div>\",\"PeriodicalId\":75136,\"journal\":{\"name\":\"The Lancet regional health. Southeast Asia\",\"volume\":\"39 \",\"pages\":\"Article 100618\"},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2025-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Lancet regional health. Southeast Asia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772368225000897\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Lancet regional health. Southeast Asia","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772368225000897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
摘要
传染病模型(IDM)是一种有用的工具,支持证据,为疾病暴发政策提供信息。了解情况、现有能力和需求将使各国能够准备和利用IDM得出的证据应对未来的疫情。本报告描绘了泰国的IDM格局,确定了主要利益攸关方,并提供了发展支持性生态系统的建议。我们发现,泰国开展和使用IDM的能力中等。IDM的使用者遍布各部委和政府一级,而IDM证据提供者则在少数大学的院系中运作。主要挑战涉及数据的可得性和质量、人力资源能力、倡议的整合以及证据使用者和提供者之间的沟通机制,以及IDM活动的可持续供资。投资于人力和数据基础设施,包括IDM生态系统发展,可以增强泰国综合和利用证据以应对未来疫情的能力,同时也有助于卫生安全和疫情应对方面的区域努力。本研究得到了洛克菲勒基金会[2022 ARO 004]和泰国国家科学、研究和创新基金(TSRI)的资助。
Past, present, and future: a situational analysis of infectious disease modelling in Thailand
Infectious disease modelling (IDM) is a useful tool supporting evidence to inform policies on disease outbreaks. Understanding situation, existing capacities and needs will enable countries to prepare and use the evidence derived from IDM for future outbreaks. This report maps Thailan's IDM landscape, identifies key stakeholders, and provides recommendations to develop a supportive ecosystem. We found that there is a moderate capacity to conduct and use IDM in Thailand. Users of IDM are spread across ministries and government level, while IDM evidence suppliers operate in departments in a few universities. Key challenges concern availability and quality of data, human resource capacity, integration of initiatives and communication mechanisms between evidence users and providers, and sustainable funding for IDM activities. Investing in human and data infrastructure, including IDM ecosystem development, could enhance Thailand's capacity to synthesise and use evidence for future outbreak preparedness, while also contributing to regional efforts in health security and outbreak response.
Funding
This study was supported by a grant from the Rockefeller Foundation [2022 ARO 004] and the National Science, Research and Innovation Fund, Thailand Science Research and Innovation (TSRI).