Mahalul Azam, Feddy Setio Pribadi, Arief Rahadian, Muhammad Zakki Saefurrohim, Yudhy Dharmawan, Arulita Ika Fibriana, Ima Arum Lestarini, Syed Mohamed Aljunid, Martha Irene Kartasurya
COVID-19 reinfection cases are evidence of antibody waning in recovered individuals. Previous studies had reported cases of COVID-19 reinfection both in hospital-based and community-based settings. However, open access data on COVID-19 reinfection in large community-based are limited. The present study aimed to provide the incidence of COVID-19 reinfection based on secondary data in the United States since these were the only available comprehensive data on COVID-19 reinfection in the general population. A cross-sectional study on COVID-19 reinfection was conducted using the secondary data provided by Healthjump from COVID-19 Research Database Consortium. Reinfection was defined as diagnosed with COVID-19 twice with ≥90 days intervals between diagnoses. Age, gender, and region data were also explored. A Chi-square test continued by a binary logistic regression was conducted to determine the association between parameters. Data collecting and processing were done in the Amazon workspace. The study revealed 3,778 reinfection cases of 116,932 COVID-19 infected cases (3.23%). Reinfection cases were more common in females (3.35%) than males (3.23%). Elderly subjects were the highest incidence (5.13%), followed by adults (4.14%), young adults (2.35%), and children (1.09%). Proportion in the region of living Northeast was the highest (3.68%), compared to the South (3.49%), West (2.59%), and Midwest (2.48%). The study concluded that the incidence of COVID-19 reinfection was 3.23%, suggesting our concern with COVID-19 management and future research to understand COVID-19 reinfection better. The incident is more likely to occur in female and elderly patients. © 2022, SEAMEO TROPMED Network. All rights reserved.
Department of Public Health, Faculty of Sports Science, Universitas Negeri Semarang, Semarang, Indonesia; Department of Informatics and Computer Engineering Education, Faculty of Technics, Universitas Negeri Semarang, Semarang, Indonesia; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands; Department of Biostatistics and Population Studies, Faculty of Public Health, Diponegoro University, Semarang, Indonesia; Department of Clinical Pathology, Faculty of Medicine, Mataram University, Mataram, Indonesia; Department of Health Policy and Management, Faculty of Public Health, Kuwait University, Kuwait City, Kuwait; Department of Public Health Nutrition, Faculty of Public Health, Diponegoro University, Semarang, Indonesia
