Febrile respiratory syndromic surveillance and early warning systems based on medical institutions

GUO Yuqing; LIN Fan; LI Bosong; WU Yanlin; LI Kaiming; ZHENG Yaming; LI Gang; WANG Liping

doi:10.19837/j.cnki.ahyf.2023.06.001

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Anhui Journal of Preventive Medicine ›› 2023, Vol. 29 ›› Issue (6) : 441-449. DOI: 10.19837/j.cnki.ahyf.2023.06.001

Special Contributions

Febrile respiratory syndromic surveillance and early warning systems based on medical institutions

GUO Yuqing¹, LIN Fan¹, LI Bosong^1,2, WU Yanlin¹, LI Kaiming¹, ZHENG Yaming¹, LI Gang³, WANG Liping⁴

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Abstract

Objective The aim of this study was to systematically summarize the key characteristics of febrile respiratory syndromic surveillance and early warning systems that have been established and used globally,so as to provide a reference to promote febrile respiratory surveillance and early warning work in medical institutions in China. Methods A systematic search of English databases such as PubMed,Web of Science,and Chinese databases such as CNKI,WanFang was used to screen out the literature about syndromic surveillance and early warning before October 2022.In addition,the relevant articles which met the inclusion criteria were sought further to identify potentially eligible studies.Qualitative description of establishment of surveillance and early warning system,case definition of febrile respiratory syndrome,data collection,model selection,evaluation,and others was conducted. Results Totally 48 studies were identified as eligible for inclusion in the review.According to the included literature,27 surveillance and early warning systems for febrile respiratory syndromic were identified.The main purpose of its construction and application was to achieve early warning of diseases and guide the rapid launch of public health actions.The response to sudden infectious disease outbreaks,large-scale event support,and bioterrorism event response had accelerated the establishment and exploration of the system.Fever (12/17,70.6%),cough (14/17,82.4%),breathing difficulty (11/17,64.7%),sore throat (10/17,58.8%) and chest pain (8/17,47.1%) were first selected in the case definition.13 (13/27,48.2%) systems across America and Europe mainly utilized natural language algorithms or computer programs to automatically collect and classify the information of surveillance cases being from chief complaint/preliminary diagnoses collected during routine patient care.Time seriesearly warning models were still commonly used in global syndromic surveillance and early warning systems,such as cumulative sum (CUSUM) model,the C1,C2,C3 models in the early aberration reporting system (EARS) and the exponentially weighted moving average (EWMA) model. Conclusion Febrile respiratory syndromic surveillance is a relatively effective addition to the early identification of acute respiratory infectious diseases.It is possible that reporting has become closer to “real-time” with automated extraction and analysis due to technological advances.Relevant researches and practices should be strengthened in order to establish an automatic sensing monitoring and early warning system for febrile respiratory symptoms based on medical institutions,to realize the forward movement of warning gate and further enhance the sensitivity of monitoring and early warning of acute severe respiratory infectious diseases in China.

Key words

Syndromic surveillance / Early warning / Medical institutions / Febrile respiratory syndrome

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GUO Yuqing, LIN Fan, LI Bosong, WU Yanlin, LI Kaiming, ZHENG Yaming, LI Gang, WANG Liping. Febrile respiratory syndromic surveillance and early warning systems based on medical institutions[J]. Anhui Journal of Preventive Medicine. 2023, 29(6): 441-449 https://doi.org/10.19837/j.cnki.ahyf.2023.06.001

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