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

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...

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Main Authors: Saranath Lawpoolsri, Jaranit Kaewkungwal, Amnat Khamsiriwatchara, Ly Sovann, Bun Sreng, Bounlay Phommasack, Viengsavanh Kitthiphong, Soe Lwin Nyein, Nyan Win Myint, Nguyen Dang Vung, Pham Hung, Mark S Smolinski, Adam W Crawley, Moe Ko Oo
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-04-01
Series:PLoS Neglected Tropical Diseases
Online Access:http://europepmc.org/articles/PMC5937798?pdf=render
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author Saranath Lawpoolsri
Jaranit Kaewkungwal
Amnat Khamsiriwatchara
Ly Sovann
Bun Sreng
Bounlay Phommasack
Viengsavanh Kitthiphong
Soe Lwin Nyein
Nyan Win Myint
Nguyen Dang Vung
Pham Hung
Mark S Smolinski
Adam W Crawley
Moe Ko Oo
author_facet Saranath Lawpoolsri
Jaranit Kaewkungwal
Amnat Khamsiriwatchara
Ly Sovann
Bun Sreng
Bounlay Phommasack
Viengsavanh Kitthiphong
Soe Lwin Nyein
Nyan Win Myint
Nguyen Dang Vung
Pham Hung
Mark S Smolinski
Adam W Crawley
Moe Ko Oo
author_sort Saranath Lawpoolsri
collection DOAJ
description 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.
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spelling doaj.art-6ca908040057456f9e49d1698f04ca6b2022-12-22T02:58:09ZengPublic Library of Science (PLoS)PLoS Neglected Tropical Diseases1935-27271935-27352018-04-01124e000642510.1371/journal.pntd.0006425Data quality and timeliness of outbreak reporting system among countries in Greater Mekong subregion: Challenges for international data sharing.Saranath LawpoolsriJaranit KaewkungwalAmnat KhamsiriwatcharaLy SovannBun SrengBounlay PhommasackViengsavanh KitthiphongSoe Lwin NyeinNyan Win MyintNguyen Dang VungPham HungMark S SmolinskiAdam W CrawleyMoe Ko OoCross-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.http://europepmc.org/articles/PMC5937798?pdf=render
spellingShingle Saranath Lawpoolsri
Jaranit Kaewkungwal
Amnat Khamsiriwatchara
Ly Sovann
Bun Sreng
Bounlay Phommasack
Viengsavanh Kitthiphong
Soe Lwin Nyein
Nyan Win Myint
Nguyen Dang Vung
Pham Hung
Mark S Smolinski
Adam W Crawley
Moe Ko Oo
Data quality and timeliness of outbreak reporting system among countries in Greater Mekong subregion: Challenges for international data sharing.
PLoS Neglected Tropical Diseases
title Data quality and timeliness of outbreak reporting system among countries in Greater Mekong subregion: Challenges for international data sharing.
title_full Data quality and timeliness of outbreak reporting system among countries in Greater Mekong subregion: Challenges for international data sharing.
title_fullStr Data quality and timeliness of outbreak reporting system among countries in Greater Mekong subregion: Challenges for international data sharing.
title_full_unstemmed Data quality and timeliness of outbreak reporting system among countries in Greater Mekong subregion: Challenges for international data sharing.
title_short Data quality and timeliness of outbreak reporting system among countries in Greater Mekong subregion: Challenges for international data sharing.
title_sort data quality and timeliness of outbreak reporting system among countries in greater mekong subregion challenges for international data sharing
url http://europepmc.org/articles/PMC5937798?pdf=render
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