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Retrospective study identifies infection related risk factors in close contacts during COVID-19 epidemic

Peipei Hu, Mengmeng Ma, Qinlong Jing, Yu Ma, Lin Gan, Yan Chen, Jundi Liu, Dahu Wang, Zhoubin Zhang, Dingmei Zhang

2020International Journal of Infectious Diseases30 citationsDOIOpen Access PDF

Abstract

OBJECTIVES: This study aimed to compare the risk of infection of children with that of adults and to explore risk factors of infection with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) by following up close contacts of COVID-19 patients. METHOD: The retrospective cohort study was performed among close contacts of index cases diagnosed with COVID-19 in Guangzhou, China. Demographic characteristics, clinical symptoms and exposure information were extracted. Logistic regression analysis was employed to explore the risk factors. The restricted cubic spline was conducted to examine to the dose-response relationship between age and SARS-CoV-2 infection. RESULTS: The secondary attack rate (SAR) was 4.4% in 1,344 close contacts. The group of household contacts (17.2%) had the highest SAR. The rare-frequency contact (p < 0.001) and moderate-frequency contact (p < 0.001) were associated with lower risk of infection. Exposure to index cases with dry cough symptoms was associated with infection in close contacts (p = 0.004). Compared with children, adults had a significantly increased risk of infection (p = 0.014). There is a linear positive correlation between age and infection (p = 0.001). CONCLUSIONS: Children are probably less susceptible to COVID-19. Close contacts with frequent contact with patients and those exposed to patients with cough symptoms are associated with an increased risk of infection.

Topics & Concepts

MedicineRetrospective cohort studyLogistic regressionCoronavirus disease 2019 (COVID-19)CohortInternal medicineRespiratory infectionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Cohort studyRisk factorRisk of infectionContact tracingRespiratory systemPediatricsDiseaseInfectious disease (medical specialty)BiologyGeneticsCOVID-19 epidemiological studiesCOVID-19 and Mental HealthLong-Term Effects of COVID-19