Analysis of the comprehensive non-pharmaceutical interventions and measures in containing the COVID-19 epidemic in Shenzhen: a retrospective study

Xu, Shutu; Liu, Peiyi; Mei, Shujiang; Lv, Qiuying; Chen, Cong; Lu, Yan; Kong, Dongfeng; Wu, Xiaoliang; Wen, Ying; Cao, Bin; ShiTong, Gao; Xiong, Hanchu; Zhao, Jin; Huang, Yuanyuan; Luo, Yi-juan; Feng, Tiejian

doi:10.1136/bmjopen-2020-044940

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…A Japanese cohort study showed a significant reduction in the incidence of children with KD during the COVID-19 epidemic compared to the pre-COVID-19 epidemic 22 . The epidemiological trend of COVID-19 in Shenzhen was characterized by a rapid initial growth of the epidemic, followed by a short period of peak incidence, and then a rapid reduction in incidence, all due to the rapid development of non-pharmaceutical interventions and measures by the Shenzhen government to effectively control community and intra-family transmission 23 . Control measures in South China during the COVID-19 epidemic resulted in a significant reduction in respiratory pathogen infections, which may be related to the reduced incidence of KD in Shenzhen 24 .…”

Section: Discussionmentioning

confidence: 99%

Exploring the diagnostic value of eosinophil-to-lymphocyte ratio to differentiate Kawasaki disease from other febrile diseases based on clinical prediction model

Guo

Liao²,

Fan³

et al. 2023

Sci Rep

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Kawasaki disease (KD) is a febrile disease that affects children under 5 years of age and leads to serious cardiovascular complications such as coronary artery disease. The development of markers that can predict early is important to reduce the under- and misdiagnosis of KD. The aim of this research was to develop a diagnostic predictive model to differentiate Kawasaki disease (KD) from other febrile diseases using eosinophil-to-lymphocyte ratio (ELR) and other biomarkers. We recruited a total of 190 children with KD and 1604 children with other febrile diseases. We retrospectively collected clinical information from the children, which included laboratory data on the day of admission, such as white blood cells (WBC), hemoglobin (HGB), calcitoninogen (PCT), hypersensitive c-reactive protein (CRP), snake prognostic nutritional index (PNI), peripheral blood neutrophil–lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and ELR. We performed analyses using univariate analysis, multivariate logistic regression, and column line plots, and evaluated the diagnostic parameters of the predictive models. ELR was significantly increased in patients with KD. After multivariate logistic regression, WBC, HGB, CRP, NLR, ELR and PNI were finally included as indicators for constructing the prediction model. The ROC curve analysis suggested that the C-index of the diagnostic prediction model was 0.921. The calibration curve showed good diagnostic performance of the columnar graph model. The cut-off value of ELR alone for KD was 0.04, the area under the ROC curve was 0.809. Kids with KD show highly expressive level of ELR compared to children with febrile disease, which can be used to diagnose KD, and column line graphs constructed together with other indicators can help pediatricians to identify KD more effectively from febrile children.

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Section: Discussionmentioning

confidence: 99%

Exploring the diagnostic value of eosinophil-to-lymphocyte ratio to differentiate Kawasaki disease from other febrile diseases based on clinical prediction model

Guo

Liao²,

Fan³

et al. 2023

Sci Rep

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“…So the close contacts were precisely quarantined for a reasonable period. The effectiveness of outbreak containment strategies in China based on NPIs is remarkable ( 13 ).…”

Section: Nonpharmaceutical Interventionsmentioning

confidence: 99%

Control and challenge of COVID-19: lessons from China’s experience

Zhu

Tan

2021

American Journal of Physiology-Lung Cellular and Molecular Phys

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“…It is an important open city in China's reform and opening-up policy, giving it more opportunities to contact with countries or regions outside the Chinese Mainland. From January and February 2020, Shenzhen experienced its first outbreak mainly due to an imported infections from Wuhan, Hubei Province, China ( 3 , 4 ). From May to June 2021, a COVID-19 outbreak mainly infected with a new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant of concern Alpha (B.1.1.7) in Shenzhen, which was due to contact with international cargo ( 5 , 6 ).…”

Section: Introductionmentioning

confidence: 99%

Epidemiological Characteristics of COVID-19 and Effective Public Health Interventions in Shenzhen, China

Lin

2022

Front. Public Health

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Objectives:This study aims to analyze and summarize the epidemic characteristics of coronavirus disease 2019 (COVID-19), and the public heath interventions in Shenzhen from 1 January 2022 to 4 April 2022, hoping to provide useful reference for resurgence.MethodsData were extracted from the website of Shenzhen Municipal Health Commission from 1 January 2022 to 4 April 2022. The number of new indigenous patients, imported patients, symptomatic and asymptomatic patients, age, gender, regional distribution, screening routes, and clinical subtype were analyzed. The public health interventions were summarized and described.ResultsThere have been 1,215 new indigenous cases and 1,447 imported cases in Shenzhen from 1 January 2022 to 4 April 2022. The age group of the indigenous cases range from 2 months to 92 years. The median age was 35.0. The male-to-female ratio was 1.13 (623:551). The number of symptomatic and asymptomatic patients were 930 (76.5%) and 285 (23.5%), respectively, without death. Shenzhen has experienced three outbreaks. Futian District has the large proportion of confirmed cases (55.8%), followed by Nanshan (13.5%), and Baoan District (13.5%). The indigenous confirmed cases were mainly screened from close contacts under quarantine observation (632 cases, 53.8%), key areas (304 cases, 25.9%), key crowds (93 cases, 7.9%), and communities (145, 12.4%). Among the imported cases outside the Chinses Mainland, China's Hong Kong had the largest number of confirmed cases (n = 1,368), followed by Singapore (n = 18), South Korea (n = 18), and Japan (n = 14). The Shenzhen government quickly implemented effective measures, including citywide screening, quarantine, tracking, classified management for different groups and the dividing epidemic-hit communities, villages into three regions (sealed area, controlled area, and prevention area), and expand the capacity of designated hospitals, etc., which effectively controlled the outbreaks. By 4 April 2022, no new local cases had been reported.ConclusionsThree novel COVID-19 outbreaks occurred in Shenzhen between 1 January to 4 April 2022, linked to importation from outside the Chinese Mainland and subsequently caused the local transmission. The measures of citywide testing–tracking–classified management by risk level have effectively controlled the epidemic and should be continued to prevent resurgence.

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Analysis of the comprehensive non-pharmaceutical interventions and measures in containing the COVID-19 epidemic in Shenzhen: a retrospective study

Cited by 3 publications

References 13 publications

Exploring the diagnostic value of eosinophil-to-lymphocyte ratio to differentiate Kawasaki disease from other febrile diseases based on clinical prediction model

Exploring the diagnostic value of eosinophil-to-lymphocyte ratio to differentiate Kawasaki disease from other febrile diseases based on clinical prediction model

Control and challenge of COVID-19: lessons from China’s experience

Epidemiological Characteristics of COVID-19 and Effective Public Health Interventions in Shenzhen, China

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