Evidence map›Paper›PMID 29694372›Full record

ArticlePLoS neglected tropical diseases2018

Data quality and timeliness of outbreak reporting system among countries in Greater Mekong subregion: Challenges for international data sharing.

Saranath Lawpoolsri, Jaranit Kaewkungwal, Amnat Khamsiriwatchara, Ly Sovann, Bun Sreng, Bounlay Phommasack, Viengsavanh Kitthiphong, Soe Lwin Nyein, Nyan Win Myint, Nguyen Dang Vung and 4 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
5.2field-weighted citation impact, top 4% of its field
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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. A framework for measuring timeliness in the outbreak response path: lessons learned from the Middle East respiratory syndrome (MERS) epidemic, September 2012 to January 2019.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2022
    Article
  12. Evaluating Completeness of Foodborne Outbreak Reporting in the United States, 1998-2019.International journal of environmental research and public health · 2022
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

14 authors at 5 institutions in 4 countries.

Saranath LawpoolsriThe Center for Biomedical and Public Health Informatics, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.ORCID 0000-0003-4841-7924
Jaranit KaewkungwalThe Center for Biomedical and Public Health Informatics, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Amnat KhamsiriwatcharaThe Center for Biomedical and Public Health Informatics, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Ly SovannDepartment of Communicable Disease Control, Ministry of Health, Phnom Penh, Cambodia.
Bun SrengDepartment of Communicable Disease Control, Ministry of Health, Phnom Penh, Cambodia.
Bounlay PhommasackDepartment of Disease Control, Ministry of Health, Vientiane, Lao PDR.
Viengsavanh KitthiphongDepartment of Disease Control, Ministry of Health, Vientiane, Lao PDR.
Soe Lwin NyeinDepartment of Public Health, Ministry of Health and Sports, Naypyidaw, Myanmar.
Nyan Win MyintDepartment of Public Health, Ministry of Health and Sports, Naypyidaw, Myanmar.
Nguyen Dang VungInstitute for Preventive Medicine & Public Health, Hanoi Medical University, Hanoi, Vietnam.
Pham HungDepartment of Disease Control, Ministry of Health, Hanoi, Vietnam.
Mark S SmolinskiEnding Pandemics, San Francisco, California, United States of America.
Adam W CrawleyEnding Pandemics, San Francisco, California, United States of America.
Moe Ko OoMekong Basin Disease Surveillance Foundation, Nonthaburi, Thailand.
Mahidol University · THMinistry of Health · KHMinistry of Health and Sports · MMHanoi Medical University · VNMinistry of Health · VN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cross-border disease transmission is a key challenge for prevention and control of outbreaks. Variation in surveillance structure and national guidelines used in different countries can affect their data quality and the timeliness of outbreak reports. This study aimed to evaluate timeliness and data quality of national outbreak reporting for four countries in the Mekong Basin Disease Surveillance network (MBDS). Data on disease outbreaks occurring from 2010 to 2015 were obtained from the national disease surveillance reports of Cambodia, Lao PDR, Myanmar, and Vietnam. Data included total cases, geographical information, and dates at different timeline milestones in the outbreak detection process. Nine diseases or syndromes with public health importance were selected for the analysis including: dengue, food poisoning & diarrhea, severe diarrhea, diphtheria, measles, H5N1 influenza, H1N1 influenza, rabies, and pertussis. Overall, 2,087 outbreaks were reported from the four countries. The number of outbreaks and number of cases per outbreak varied across countries and diseases, depending in part on the outbreak definition used in each country. Dates on index onset, report, and response were >95% complete in all countries, while laboratory confirmation dates were 10%-100% incomplete in most countries. Inconsistent and out of range date data were observed in 1%-5% of records. The overall timeliness of outbreak report, response, and public communication was within 1-15 days, depending on countries and diseases. Diarrhea and severe diarrhea outbreaks showed the most rapid time to report and response, whereas diseases such as rabies, pertussis and diphtheria required a longer time to report and respond. The hierarchical structure of the reporting system, data collection method, and country's resources could affect the data quality and timeliness of the national outbreak reporting system. Differences in data quality and timeliness of outbreak reporting system among member countries should be considered when planning data sharing strategies within a regional network.

Indexed as

CambodiaCommunity NetworksData AccuracyDengueDiarrheaDisease OutbreaksFoodborne DiseasesHumansInfluenza, HumanInformation DisseminationInternational CooperationMyanmarPublic HealthRabiesVietnamWhooping Cough

Identifiers

PMID29694372
PMCPMC5937798
OpenAlexW2799817188

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.