Governmental Inter-sectoral Strategies to Prevent and Control COVID-19 in a Megacity: A Policy Brief From Shanghai, China

He, Xiaolin; Jiang, Ping; Wu, Qiong; Lai, Xiaobin; Liang, Yupei

doi:10.3389/fpubh.2022.764847

Cited by 7 publications

(6 citation statements)

References 15 publications

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“…New coronary pneumonia has a long incubation period and is relatively susceptible. [43][44][45] When relatives and friends are infected, many people may fall into panic and fear. Therefore, the risk of anxiety among college students in this situation is significantly increased.…”

Section: Discussionmentioning

confidence: 99%

College students’ anxiety after returning to school during the COVID-19 epidemic: What should we care

Ding¹,

Zhu²,

Jing³

et al. 2022

Medicine

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The college students’ anxiety during the Coronavirus disease 2019 (COVID-19) epidemic remains unclear. We aimed to evaluate the college students’ anxiety after returning to school during the COVID-19 epidemic, to provide reference for the management and nursing care of college students. We conducted a survey from September 15, 2021 to September 30, 2021 investigate the anxiety level of college students. The Self-rating Anxiety Scale was used for anxiety assessment. The Spearman correlation analysis was conducted to evaluate the correlation between students’ anxiety and characteristics. Logistic regression analysis was used to explore the influencing factors of concurrent anxiety among college students. A total of 2168 college students were included, the incidence of anxiety was 30.07% in college students during the COVID-19 epidemic. Pearson correlation analyses showed that grade (R = 0.715), main use of computer and mobile phone (R = 0.622), daily exercise (R = 0.735), whether relatives or friends are infected with COVID-19 (R = 0.735) are associated with the anxiety level of college students (all P < .05). Logistic regression analysis indicated that senior year (Odds ratio [OR] = 2.064, 95% confidence interval [CI]: 1.355–3.001), online game (OR = 3.122, 95% CI: 2.562–3.899), relatives or friends are infected with COVID-19 (OR = 2.987, 95% CI: 1.901–3.451) are the independent risk factors of anxiety in college students (all P < .05). Daily exercise (OR = 0.514, 95% CI: 0.205–0.814) was the independent protective factors of anxiety in college students (P = .008). During the COVID-19 epidemic, college students have increased anxiety and there are many influencing factors. Administrators and educators should especially pay attention to the mental health of students with those risk factors to maintain students’ physical and mental health.

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Section: Discussionmentioning

confidence: 99%

College students’ anxiety after returning to school during the COVID-19 epidemic: What should we care

Ding¹,

Zhu²,

Jing³

et al. 2022

Medicine

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show abstract

“…Many studies have calculated the basic regeneration index ( R 0 ) of the COVID-19 epidemic, and its estimated value is generally in the range of 2–7, revealing the high infectiousness of COVID-19 ( 14 – 16 ). However, due to the small number of cases and regions, more research is needed to confirm this finding.…”

Section: Introductionmentioning

confidence: 99%

COVID-19 epidemic and public health interventions in Shanghai, China: Statistical analysis of transmission, correlation and conversion

Chen

Wang

et al. 2023

Front. Public Health

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BackgroundThe Shanghai COVID-19 epidemic is an important example of a local outbreak and of the implementation of normalized prevention and disease control strategies. The precise impact of public health interventions on epidemic prevention and control is unknown.MethodsWe collected information on COVID-19 patients reported in Shanghai, China, from January 30 to May 31, 2022. These newly added cases were classified as local confirmed cases, local asymptomatic infections, imported confirmed cases and imported asymptomatic infections. We used polynomial fitting correlation analysis and illustrated the time lag plot in the correlation analysis of local and imported cases. Analyzing the conversion of asymptomatic infections to confirmed cases, we proposed a new measure of the conversion rate (Cr). In the evolution of epidemic transmission and the analysis of intervention effects, we calculated the effective reproduction number (Rt). Additionally, we used simulated predictions of public health interventions in transmission, correlation, and conversion analyses.Results(1) The overall level of Rt in the first three stages was higher than the epidemic threshold. After the implementation of public health intervention measures in the third stage, Rt decreased rapidly, and the overall Rt level in the last three stages was lower than the epidemic threshold. The longer the public health interventions were delayed, the more cases that were expected and the later the epidemic was expected to end. (2) In the correlation analysis, the outbreak in Shanghai was characterized by double peaks. (3) In the conversion analysis, when the incubation period was short (3 or 7 days), the conversion rate fluctuated smoothly and did not reflect the effect of the intervention. When the incubation period was extended (10 and 14 days), the conversion rate fluctuated in each period, being higher in the first five stages and lower in the sixth stage.ConclusionEffective public health interventions helped slow the spread of COVID-19 in Shanghai, shorten the outbreak duration, and protect the healthcare system from stress. Our research can serve as a positive guideline for addressing infectious disease prevention and control in China and other countries and regions.

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“…The change of non-pharmaceutical interventions (NPIs) taken by the Shanghai government during the outbreak is of particular concern. Since 2020, Shanghai has successfully contained many epidemics and avoided the COVID-19 outbreak with its powerful inter-sectoral strategy [1]. This strategy is famous for its "precision" and minimizing the negative impact on the economic activity.…”

Section: Introductionmentioning

confidence: 99%

Quantitative analysis of non-pharmaceutical interventions during Shanghai COVID-19 outbreak

Zhu

2023

International Conference on Modern Medicine and Global Health (ICMMGH 2023)

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Governmental Inter-sectoral Strategies to Prevent and Control COVID-19 in a Megacity: A Policy Brief From Shanghai, China

Cited by 7 publications

References 15 publications

College students’ anxiety after returning to school during the COVID-19 epidemic: What should we care

College students’ anxiety after returning to school during the COVID-19 epidemic: What should we care

COVID-19 epidemic and public health interventions in Shanghai, China: Statistical analysis of transmission, correlation and conversion

Quantitative analysis of non-pharmaceutical interventions during Shanghai COVID-19 outbreak

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