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整合数字工具以加强尼泊尔“同一健康”领域抗菌药物耐药性监测的数据管理

Integrative Digital Tools to Strengthen Data Management for Antimicrobial Resistance Surveillance in the "One Health" Domain in Nepal.

作者信息

Yadav Santosh Kumar, Shrestha Lilee, Acharya Jyoti, Gompo Tulsi Ram, Chapagain Sharmila, Jha Runa

机构信息

National Public Health Laboratory, Kathmandu 44600, Nepal.

Central Veterinary Laboratory, Kathmandu 44600, Nepal.

出版信息

Trop Med Infect Dis. 2023 May 25;8(6):291. doi: 10.3390/tropicalmed8060291.

DOI:10.3390/tropicalmed8060291
PMID:37368709
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10300725/
Abstract

Antimicrobial resistance (AMR) is increasing and represents one of the greatest public health challenges of our time, accounting for considerable morbidity and mortality globally. A "One Health" surveillance strategy, which integrates data concerning the resistant organisms circulating in humans, animals, and the environment, is required to monitor this issue and enable effective interventions. The timely collection, processing, analysis, and reporting of AMR surveillance data are necessary for the effective delivery of the information generated from such surveillance. Nepal has greatly improved its surveillance activities through a network of human and animal health laboratories; however, the data reported by sentinel laboratories are often inconsistent, incomplete, and delayed, causing challenges in terms of data cleaning, standardization, and visualization on a national level. To overcome these issues, innovative methods and procedures have been adopted in Nepal, with the development and customization of digital tools that reduce the human time and effort spent on data cleaning and standardization, with concomitant improvements in the accuracy of data. These standardized data can be uploaded to the district health information system 2 (DHIS2) One Health AMR surveillance portal, enabling the generation of reports that will help decision-makers and policy planners to combat the global problem of AMR.

摘要

抗菌药物耐药性(AMR)正在上升,是我们这个时代最大的公共卫生挑战之一,在全球范围内造成了相当高的发病率和死亡率。需要一种“同一健康”监测策略,整合有关在人类、动物和环境中传播的耐药生物体的数据,以监测这一问题并实现有效的干预措施。及时收集、处理、分析和报告AMR监测数据对于有效提供此类监测产生的信息至关重要。尼泊尔通过一个人类和动物健康实验室网络极大地改善了其监测活动;然而,哨点实验室报告的数据往往不一致、不完整且延迟,在国家层面的数据清理、标准化和可视化方面带来了挑战。为克服这些问题,尼泊尔采用了创新方法和程序,开发并定制了数字工具,减少了在数据清理和标准化上花费的人力和时间,同时提高了数据的准确性。这些标准化数据可以上传到地区卫生信息系统2(DHIS2)同一健康AMR监测门户,从而生成有助于决策者和政策规划者应对全球AMR问题的报告。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b39/10300725/9a5e86fcb455/tropicalmed-08-00291-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b39/10300725/8dae02544541/tropicalmed-08-00291-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b39/10300725/9a5e86fcb455/tropicalmed-08-00291-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b39/10300725/8dae02544541/tropicalmed-08-00291-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b39/10300725/9a5e86fcb455/tropicalmed-08-00291-g002.jpg

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