TY - JOUR
T1 - Automating the Generation of Notifiable Bacterial Disease Reports
T2 - Proof-of-Concept Study and Implementation in Six Hospitals in Thailand
AU - Lim, Cherry
AU - Klaytong, Preeyarach
AU - Hantrakun, Viriya
AU - Rangsiwutisak, Chalida
AU - Phiancharoen, Chadaporn
AU - Tangwangvivat, Ratanaporn
AU - Kripattanapong, Somkid
AU - Jitpeera, Charuttaporn
AU - Poldech, Wiratya
AU - Jiramahasan, Punya
AU - Laosatiankit, Bangon
AU - Photivet, Orawan
AU - Sukbut, Punchawee
AU - Thongsri, Warintorn
AU - Kosasaeng, Kailas
AU - Chiwehanyon, Bongkoch
AU - Leesahud, Nutjamee
AU - Ritthong, Preecha
AU - Linreung, Wandee
AU - Aramrueang, Panatda
AU - Bhunyakitikorn, Wichan
AU - Iamsirithaworn, Sopon
AU - Limmathurotsakul, Direk
N1 - Publisher Copyright:
© 2024 American Society of Tropical Medicine and Hygiene. All rights reserved.
PY - 2024/7
Y1 - 2024/7
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85197980535&partnerID=8YFLogxK
U2 - 10.4269/ajtmh.23-0848
DO - 10.4269/ajtmh.23-0848
M3 - Article
C2 - 38806021
AN - SCOPUS:85197980535
SN - 0002-9637
VL - 111
SP - 151
EP - 155
JO - American Journal of Tropical Medicine and Hygiene
JF - American Journal of Tropical Medicine and Hygiene
IS - 1
ER -