Evidence map›Paper›PMID 40672783›Full record

ReviewThe Lancet regional health. Southeast Asia2025

Past, present, and future: a situational analysis of infectious disease modelling in Thailand.

Manit Sittimart, Chayapat Rachatan, Panchanok Muenkaew, Saudamini Vishwanath Dabak

Abstract readReview
In one paragraph

Review in The Lancet regional health. Southeast Asia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Manit SittimartHealth Intervention and Technology Assessment Program Foundation (HITAP), Nonthaburi, Thailand.
Chayapat RachatanHealth Intervention and Technology Assessment Program Foundation (HITAP), Nonthaburi, Thailand.
Panchanok MuenkaewHealth Intervention and Technology Assessment Program Foundation (HITAP), Nonthaburi, Thailand.
Saudamini Vishwanath DabakHealth Intervention and Technology Assessment Program Foundation (HITAP), Nonthaburi, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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).

Indexed as

Infectious diseasesMathematical modellingSituational analysisSWOTThailand

Identifiers

PMID40672783
PMCPMC12266576

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.