PDF(Pubmed)
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.
摘要：
关于低收入和中等收入国家（LMICs）应报告的细菌性疾病（NBD）的信息通常不完整。我们开发了用于抗菌素耐药性监测系统+(AMASSplus)的自动化工具，这可以支持医院自动分析其微生物学和医院数据文件（CSV或Excel格式），并及时生成抗菌素耐药性监测和NBD报告（PDF和CSV格式）。NBD报告包括布鲁氏菌感染后的病例总数和死亡人数。,假伯克霍尔德菌,白喉棒杆菌,淋病奈瑟菌,脑膜炎奈瑟菌,非伤寒沙门氏菌属。,肠道沙门氏菌，伤寒沙门氏菌，志贺氏菌属。,猪链球菌,和弧菌属。感染。我们于2022年在泰国的六家医院测试了该工具。AMASSplus确定的死亡总数高于向国家法定报告疾病监测系统（NNDSS）报告的死亡总数；特别是假单胞菌感染（134对2例死亡）。该工具可以支持LMIC中的NNDSS。
