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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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Autores principales: Lawpoolsri, Saranath, Kaewkungwal, Jaranit, Khamsiriwatchara, Amnat, Sovann, Ly, Sreng, Bun, Phommasack, Bounlay, Kitthiphong, Viengsavanh, Lwin Nyein, Soe, Win Myint, Nyan, Dang Vung, Nguyen, Hung, Pham, S. Smolinski, Mark, W. Crawley, Adam, Ko Oo, Moe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5937798/
https://www.ncbi.nlm.nih.gov/pubmed/29694372
http://dx.doi.org/10.1371/journal.pntd.0006425
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author Lawpoolsri, Saranath
Kaewkungwal, Jaranit
Khamsiriwatchara, Amnat
Sovann, Ly
Sreng, Bun
Phommasack, Bounlay
Kitthiphong, Viengsavanh
Lwin Nyein, Soe
Win Myint, Nyan
Dang Vung, Nguyen
Hung, Pham
S. Smolinski, Mark
W. Crawley, Adam
Ko Oo, Moe
author_facet Lawpoolsri, Saranath
Kaewkungwal, Jaranit
Khamsiriwatchara, Amnat
Sovann, Ly
Sreng, Bun
Phommasack, Bounlay
Kitthiphong, Viengsavanh
Lwin Nyein, Soe
Win Myint, Nyan
Dang Vung, Nguyen
Hung, Pham
S. Smolinski, Mark
W. Crawley, Adam
Ko Oo, Moe
author_sort Lawpoolsri, Saranath
collection PubMed
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 pubmed-59377982018-05-18 Data quality and timeliness of outbreak reporting system among countries in Greater Mekong subregion: Challenges for international data sharing Lawpoolsri, Saranath Kaewkungwal, Jaranit Khamsiriwatchara, Amnat Sovann, Ly Sreng, Bun Phommasack, Bounlay Kitthiphong, Viengsavanh Lwin Nyein, Soe Win Myint, Nyan Dang Vung, Nguyen Hung, Pham S. Smolinski, Mark W. Crawley, Adam Ko Oo, Moe PLoS Negl Trop Dis Research Article 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. Public Library of Science 2018-04-25 /pmc/articles/PMC5937798/ /pubmed/29694372 http://dx.doi.org/10.1371/journal.pntd.0006425 Text en © 2018 Lawpoolsri et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lawpoolsri, Saranath
Kaewkungwal, Jaranit
Khamsiriwatchara, Amnat
Sovann, Ly
Sreng, Bun
Phommasack, Bounlay
Kitthiphong, Viengsavanh
Lwin Nyein, Soe
Win Myint, Nyan
Dang Vung, Nguyen
Hung, Pham
S. Smolinski, Mark
W. Crawley, Adam
Ko Oo, Moe
Data quality and timeliness of outbreak reporting system among countries in Greater Mekong subregion: Challenges for international data sharing
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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5937798/
https://www.ncbi.nlm.nih.gov/pubmed/29694372
http://dx.doi.org/10.1371/journal.pntd.0006425
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