Automating the Generation of Notifiable Bacterial Disease Reports: Proof-of-Concept Study and Implementation in Six Hospitals in Thailand
Issued Date
2024-07-03
Resource Type
eISSN
14761645
Scopus ID
2-s2.0-85197980535
Pubmed ID
38806021
Journal Title
The American journal of tropical medicine and hygiene
Volume
111
Issue
1
Start Page
151
End Page
155
Rights Holder(s)
SCOPUS
Bibliographic Citation
The American journal of tropical medicine and hygiene Vol.111 No.1 (2024) , 151-155
Suggested Citation
Lim C., Klaytong P., Hantrakun V., Rangsiwutisak C., Phiancharoen C., Tangwangvivat R., Kripattanapong S., Jitpeera C., Poldech W., Jiramahasan P., Laosatiankit B., Photivet O., Sukbut P., Thongsri W., Kosasaeng K., Chiwehanyon B., Leesahud N., Ritthong P., Linreung W., Aramrueang P., Bhunyakitikorn W., Iamsirithaworn S., Limmathurotsakul D. Automating the Generation of Notifiable Bacterial Disease Reports: Proof-of-Concept Study and Implementation in Six Hospitals in Thailand. The American journal of tropical medicine and hygiene Vol.111 No.1 (2024) , 151-155. 155. doi:10.4269/ajtmh.23-0848 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/99704
Title
Automating the Generation of Notifiable Bacterial Disease Reports: Proof-of-Concept Study and Implementation in Six Hospitals in Thailand
Author(s)
Lim C.
Klaytong P.
Hantrakun V.
Rangsiwutisak C.
Phiancharoen C.
Tangwangvivat R.
Kripattanapong S.
Jitpeera C.
Poldech W.
Jiramahasan P.
Laosatiankit B.
Photivet O.
Sukbut P.
Thongsri W.
Kosasaeng K.
Chiwehanyon B.
Leesahud N.
Ritthong P.
Linreung W.
Aramrueang P.
Bhunyakitikorn W.
Iamsirithaworn S.
Limmathurotsakul D.
Klaytong P.
Hantrakun V.
Rangsiwutisak C.
Phiancharoen C.
Tangwangvivat R.
Kripattanapong S.
Jitpeera C.
Poldech W.
Jiramahasan P.
Laosatiankit B.
Photivet O.
Sukbut P.
Thongsri W.
Kosasaeng K.
Chiwehanyon B.
Leesahud N.
Ritthong P.
Linreung W.
Aramrueang P.
Bhunyakitikorn W.
Iamsirithaworn S.
Limmathurotsakul D.
Author's Affiliation
Faculty of Tropical Medicine, Mahidol University
Mahidol Oxford Tropical Medicine Research Unit
Amnatcharoen Hospital
Thailand Ministry of Public Health
Nuffield Department of Medicine
Srisaket Provincial Health Office
Kantharalak Hospital
Nakhon Phanom Hospital
Sunpasitthiprasong Hospital
Mukdahan Hospital
Phatthalung Hospital
Mahidol Oxford Tropical Medicine Research Unit
Amnatcharoen Hospital
Thailand Ministry of Public Health
Nuffield Department of Medicine
Srisaket Provincial Health Office
Kantharalak Hospital
Nakhon Phanom Hospital
Sunpasitthiprasong Hospital
Mukdahan Hospital
Phatthalung Hospital
Corresponding Author(s)
Other Contributor(s)
Abstract
Information on notifiable bacterial diseases (NBD) in low- and middle-income countries (LMICs) is frequently incomplete. We developed the AutoMated tool for the Antimicrobial resistance Surveillance System plus (AMASSplus), which can support hospitals to analyze their microbiology and hospital data files automatically (in CSV or Excel format) and promptly generate antimicrobial resistance surveillance and NBD reports (in PDF and CSV formats). The NBD reports included the total number of cases and deaths after Brucella spp., Burkholderia pseudomallei, Corynebacterium diphtheriae, Neisseria gonorrhoeae, Neisseria meningitidis, nontyphoidal Salmonella spp., Salmonella enterica serovar Paratyphi, Salmonella enterica serovar Typhi, Shigella spp., Streptococcus suis, and Vibrio spp. infections. We tested the tool in six hospitals in Thailand in 2022. The total number of deaths identified by the AMASSplus was higher than those reported to the national notifiable disease surveillance system (NNDSS); particularly for B. pseudomallei infection (134 versus 2 deaths). This tool could support the NNDSS in LMICs.