2023
DOI: 10.2196/40591
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The Impact of COVID-19 Lockdown on Cases of and Deaths From AIDS, Gonorrhea, Syphilis, Hepatitis B, and Hepatitis C: Interrupted Time Series Analysis

Abstract: Background China implemented a nationwide lockdown to contain COVID-19 from an early stage. Previous studies of the impact of COVID-19 on sexually transmitted diseases (STDs) and diseases caused by blood-borne viruses (BBVs) in China have yielded widely disparate results, and studies on deaths attributable to STDs and BBVs are scarce. Objective We aimed to elucidate the impact of COVID-19 lockdown on cases, deaths, and case-fatality ratios of STDs and B… Show more

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Cited by 10 publications
(6 citation statements)
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“…To do this, monthly HIV/AIDS case numbers and continuous indices on COVID-19-related policy (the Oxford COVID-19 Government Response Tracker, OxCGRT) from public databases were collected to construct the SARIMA model. Comparing with a similar ITS, 14 the current study estimated the impact of COVID-19 policies on HIV/AIDS identification precisely and continuously, to evaluate its effect on case numbers. The findings from this study suggest a definite impact of COVID-19 policies on HIV/AIDS underreporting and suggest stakeholders to balance the allocation of HIV resources and with future policies to minimize future impact.…”
Section: Introductionmentioning
confidence: 99%
“…To do this, monthly HIV/AIDS case numbers and continuous indices on COVID-19-related policy (the Oxford COVID-19 Government Response Tracker, OxCGRT) from public databases were collected to construct the SARIMA model. Comparing with a similar ITS, 14 the current study estimated the impact of COVID-19 policies on HIV/AIDS identification precisely and continuously, to evaluate its effect on case numbers. The findings from this study suggest a definite impact of COVID-19 policies on HIV/AIDS underreporting and suggest stakeholders to balance the allocation of HIV resources and with future policies to minimize future impact.…”
Section: Introductionmentioning
confidence: 99%
“…Finally, our study period may be relatively short to fully capture the outcomes among PLHIV. However, given the implementation of the treat-all policy in China in 2016, and the significant impact of COVID-19 pandemic on the HIV care continuum in 2020 52 , 53 , we had to limit the study duration to these three years. Additional long-term research is needed to further elucidate this topic after the lifting of zero-COVID policy in December 2022 in China.…”
Section: Discussionmentioning
confidence: 99%
“…As a common method for studying changes in HIV-related indicators [ 10 , 23 25 ], interrupted time series analysis was used to assess whether exposure to the implementation of treat-all affected these outcomes. We performed Poisson or quasi-Poisson segmented regression models to estimate the immediate impact of treat-all on these outcomes, as well as their trends.…”
Section: Methodsmentioning
confidence: 99%
“…By subtracting a time period from the time variable, we were able to center time at the June 2016 (treat-all) and December 2019 in order to estimate the immediate and long-term impact. Expected level was defined as the expected numbers from the counterfactual model in December 2019 [ 23 25 ]. To calculate the trend (absolute) after treat-all, we added together the coefficients associated with time and the time-dummy interaction.…”
Section: Methodsmentioning
confidence: 99%