tetano
Editor, Senior Moderator
BMC Public Health
. 2024 Feb 16;24(1):496.
doi: 10.1186/s12889-024-17902-6. SARS-CoV-2 reinfection with Omicron variant in Shaanxi Province, China: December 2022 to February 2023
Mengyan Zhang[SUP] 1 [/SUP], Lei Cao[SUP] 1 [/SUP], Luqian Zhang[SUP] 1 [/SUP], Xinxin Li[SUP] 1 [/SUP], Sa Chen[SUP] 1 [/SUP], Yi Zhang[SUP] 2 [/SUP]
Affiliations
Background: Prior to December 2022, there were no reports of reinfection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Shaanxi province, China. Since then, China has refined its strategy in response to coronaviruses. The purpose of this study was to determine the incidence of SARS-CoV-2 reinfections and its contributing factors, as well as to compare clinical characteristics between first and second episodes of infection in Shaanxi Province, China between December 2022 and February 2023.
Methods: We conducted a cross-sectional study using an epidemiological survey system and electronic questionnaires to investigate the incidence of SARS-CoV-2 reinfection among previously infected individuals during the epidemic wave owing to the Omicron variant that began in December 2022. A logistic regression model was used to determine those factors influencing SARS-CoV-2 reinfections.
Results: According to the virus variant that caused the first infection, the rate of reinfection for the Omicron variants was 1.28%, 1.96%, and 5.92% at 2-3 months, 4-5 months, and 7-9 months after the primary infection, respectively. The rate of reinfection for the Delta variants was 25.10% 11-12 months after the primary infection. Females, adults between 18 and 38 years and being a medical worker were associated with an increased risk of reinfection. Fever, cough, sore throat and fatigue were the four most common clinical symptoms during both first and second COVID-19 infections.
Conclusions: In our study, the rate of SARS-CoV-2 reinfection increased over time during epidemic waves predominantly involving the Omicron variant in Shaanxi province, China. Large-scale infections are less likely in subsequent Omicron epidemic waves. Nevertheless, it is essential to continuously monitor cases of infection as well as continue surveillance for emerging SARS-CoV-2 variants.
Keywords: COVID-19; Reinfection; SARS-CoV-2.
. 2024 Feb 16;24(1):496.
doi: 10.1186/s12889-024-17902-6. SARS-CoV-2 reinfection with Omicron variant in Shaanxi Province, China: December 2022 to February 2023
Mengyan Zhang[SUP] 1 [/SUP], Lei Cao[SUP] 1 [/SUP], Luqian Zhang[SUP] 1 [/SUP], Xinxin Li[SUP] 1 [/SUP], Sa Chen[SUP] 1 [/SUP], Yi Zhang[SUP] 2 [/SUP]
Affiliations
- PMID: 38365671
- PMCID: PMC10870596
- DOI: 10.1186/s12889-024-17902-6
Background: Prior to December 2022, there were no reports of reinfection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Shaanxi province, China. Since then, China has refined its strategy in response to coronaviruses. The purpose of this study was to determine the incidence of SARS-CoV-2 reinfections and its contributing factors, as well as to compare clinical characteristics between first and second episodes of infection in Shaanxi Province, China between December 2022 and February 2023.
Methods: We conducted a cross-sectional study using an epidemiological survey system and electronic questionnaires to investigate the incidence of SARS-CoV-2 reinfection among previously infected individuals during the epidemic wave owing to the Omicron variant that began in December 2022. A logistic regression model was used to determine those factors influencing SARS-CoV-2 reinfections.
Results: According to the virus variant that caused the first infection, the rate of reinfection for the Omicron variants was 1.28%, 1.96%, and 5.92% at 2-3 months, 4-5 months, and 7-9 months after the primary infection, respectively. The rate of reinfection for the Delta variants was 25.10% 11-12 months after the primary infection. Females, adults between 18 and 38 years and being a medical worker were associated with an increased risk of reinfection. Fever, cough, sore throat and fatigue were the four most common clinical symptoms during both first and second COVID-19 infections.
Conclusions: In our study, the rate of SARS-CoV-2 reinfection increased over time during epidemic waves predominantly involving the Omicron variant in Shaanxi province, China. Large-scale infections are less likely in subsequent Omicron epidemic waves. Nevertheless, it is essential to continuously monitor cases of infection as well as continue surveillance for emerging SARS-CoV-2 variants.
Keywords: COVID-19; Reinfection; SARS-CoV-2.