Predictive modelling for COVID-19 outbreak control:lessons from the navy cluster in Sri Lanka  

作　　者：N.W.A.N.Y.Wijesekara Nayomi Herath K.A.L.C.Kodituwakku H.D.B.Herath Samitha Ginige Thilanga Ruwanpathirana Manjula Kariyawasam Sudath Samaraweera Anuruddha Herath Senarupa Jayawardena Deepa Gamge 

机构地区：[1]Disaster Preparedness and Response Division,Ministry of Health,385,Rev.Baddegama Wimalawansa Thero Mawatha,Colombo 01000,Sri Lanka [2]Epidemiology Unit of the Ministry of Health,Colombo 01000,Sri Lanka [3]Sri Lanka Navy,Colombo 01100,Sri Lanka

出　　处：《Military Medical Research》2022年第1期138-140,共3页军事医学研究（英文版）

摘　　要：In response to an outbreak of coronavirus disease 2019(COVID-19)within a cluster of Navy personnel in Sri Lanka commencing from 22nd April 2020,an aggressive outbreak management program was launched by the Epidemiology Unit of the Ministry of Health.To predict the possible number of cases within the susceptible population under four social distancing scenarios,the COVID-19 Hospital Impact Model for Epidemics(CHIME)was used.With increasing social distancing,the epidemiological curve flattened,and its peak shifted to the right.The observed or actually reported number of cases was above the projected number of cases at the onset;however,subsequently,it fell below all predicted trends.Predictive modelling is a useful tool for the control of outbreaks such as COVID-19 in a closed community.

关 键 词：COVID-19 Predictive modelling SIR model Navy cluster Outbreak management 

分 类 号：R563.1[医药卫生—呼吸系统] R181.3[医药卫生—内科学]