Evidence map›Paper›PMID 42760915›Full record

ArticleWellcome open research2026

Implementation of 7-1-7 for improving timeliness in outbreak detection and response in Thailand: A mixed-methods study on challenges in application and achievement of targets in 2024-25.

Peeriya Watakulsin, Charuttaporn Jitpeera, Pitiphon Promduangsi, Khanuengnij Yueayai, Suphanat Wongsanuphat, Seesai Yeesoonsang, Patchanee Plernprom, Chonlada Siri, Kanyanach Kuljirakul, Thitinan Thintha and 3 more

Abstract read
In one paragraph

Article in Wellcome open research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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.

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Peeriya WatakulsinDivision of Epidemiology, Department of Disease Control, Ministry of Public Health, Nonthaburi, 11000, Thailand.ORCID 0000-0002-9683-0695
Charuttaporn JitpeeraDivision of Epidemiology, Department of Disease Control, Ministry of Public Health, Nonthaburi, 11000, Thailand.
Pitiphon PromduangsiDivision of Communicable Diseases, Department of Disease Control, Ministry of Public Health, Nonthaburi, 11000, Thailand.
Khanuengnij YueayaiOffice of Disease Prevention and Control Region 9, Department of Disease Control, Ministry of Public Health, Nakhon Ratchasima, 30000, Thailand.
Suphanat WongsanuphatDivision of Epidemiology, Department of Disease Control, Ministry of Public Health, Nonthaburi, 11000, Thailand.
Seesai YeesoonsangDivision of Epidemiology, Department of Disease Control, Ministry of Public Health, Nonthaburi, 11000, Thailand.
Patchanee PlernpromDivision of Epidemiology, Department of Disease Control, Ministry of Public Health, Nonthaburi, 11000, Thailand.
Chonlada SiriDivision of Epidemiology, Department of Disease Control, Ministry of Public Health, Nonthaburi, 11000, Thailand.
Kanyanach KuljirakulOffice of Disease Prevention and Control Region 2, Department of Disease Control, Ministry of Public Health, Phitsanulok, 65000, Thailand.
Thitinan ThinthaOffice of Disease Prevention and Control Region 2, Department of Disease Control, Ministry of Public Health, Phitsanulok, 65000, Thailand.
Kannika SongkramOffice of Disease Prevention and Control Region 2, Department of Disease Control, Ministry of Public Health, Phitsanulok, 65000, Thailand.
Kulchayada CharoensiwarakOffice of Disease Prevention and Control Region 2, Department of Disease Control, Ministry of Public Health, Phitsanulok, 65000, Thailand.
Soawapak HinjoyOffice of the Senior Expert Committee, Department of Disease Control, Ministry of Public Health, Nonthaburi, 11000, Thailand.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Infectious disease outbreaks result in unfavourable outcomes when swift actions fail. The 7-1-7 target (detect within 7 days, notify within 1 day, respond within 7 days) was proposed to improve timeliness. Thailand piloted 7-1-7 in 2024 and scaled it up nationwide in 2025. This study aimed to quantify the 7-1-7 target achievement, identify bottlenecks and enablers, and describe challenges and solutions for applying the 7-1-7 metrics. Methods: A mixed-methods study was conducted with quantitative assessment of all events meeting the national health threat criteria during January 2024 and June 2025 for timeliness, bottlenecks and enablers for meeting the 7-1-7 target. A qualitative descriptive study with in-depth interviews of key stakeholders explored challenges and solutions for applying the 7-1-7 framework. Results: Of the 1,435 events assessed, 15% were dangerous communicable diseases and 3% occurred in hotels. Among all the events, 50% achieved the 7-1-7 target; 85%, 73%, and 83% were detected, notified and responded to in a timely manner, respectively. The median (interquartile range) duration for detection, notification and response were 0 (0-5) days, 0 (0-2) days and 2 (0-5) days, respectively. Among events that occurred in hotels, none met the 7-1-7 target. Dangerous communicable diseases had the highest notification (95%) and response performance (99%), despite lower timely detection (71%). Key bottlenecks included delayed care-seeking and weak coordination. Key stakeholders felt that the 7-1-7 metrics was useful, but the lack of standardised data sources, disease-specific guidelines and centralised data extraction made implementation difficult. Proposed solutions focused on streamlining and decentralizing the application of 7-1-7. Conclusion: It is appreciable that Thailand was able to apply the 7-1-7 framework and half of the events met the 7-1-7 target. However, to better the application of 7-1-7, future work should focus on strengthening data integration and formulating disease specific guidelines.

Indexed as

Emerging infectious diseaseGlobal health securityHealth systemInternational Health RegulationsOperational researchOutbreakTimeliness

Identifiers

PMID42760915
PMCPMC13583354

What OpenQuestion holds

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Registered trials

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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.