Literature DB >> 32277876

Beware of the second wave of COVID-19.

Shunqing Xu1, Yuanyuan Li2.   

Abstract

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Year:  2020        PMID: 32277876      PMCID: PMC7194658          DOI: 10.1016/S0140-6736(20)30845-X

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


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The outbreak of coronavirus disease 2019 (COVID-19), which began in Wuhan, China, in late 2019, has spread to 203 countries as of March 30, 2020, and has been officially declared a global pandemic. With unprecedented public health interventions, local transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) appears now to have been contained in China. Multiple countries are now experiencing the first wave of the COVID-19 epidemic; thus, gaining an understanding of how these interventions prevented the transmission of SARS-CoV-2 in China is urgent. In The Lancet, Kathy Leung and colleagues report their assessment of the transmissibility and severity of COVID-19 during the first wave in four cities and ten provinces in China outside Hubei. The study estimated the instantaneous reproduction number in the selected locations decreased substantially after non-pharmaceutical control measures were implemented on Jan 23, 2020, and has since remained lower than 1. The transmission of SARS-CoV-2 in these locations was mainly driven by imported cases from Hubei until late January, which is, to some extent, similar to the transmission in January in several countries. The epidemics in Chinese provinces outside Hubei were believed to be driven by local transmission dynamics after Jan 31; therefore, the findings of Leung and colleagues' study highlight the fact that the package of non-pharmaceutical interventions in China has the ability to contain transmission—not only imported cases, but also local transmission. The epidemic is accelerating rapidly in multiple countries, indicating shortfalls in preparedness. Given that multiple countries imposed travel restrictions against China in late January, there is a need to model whether earlier implementation of interventions such as social distancing, population behavioural change, and contact tracing would have been able to contain or mitigate the epidemic. Leung and colleagues also modelled the potential adverse consequences of premature relaxation of interventions, and found that such a decision might lead to transmissibility exceeding 1 again—ie, a second wave of infections. The finding is critical to governments globally, because it warns against premature relaxation of strict interventions. However, the effect of each intervention, or which one was the most effective in containing the spread of the virus, was not addressed in the study. While interventions to control the spread of SARS-CoV-2 are in place, countries will need to work toward returning to normalcy; thus, knowledge of the effect of each intervention is urgently required. Air travel data were used to model the effect of travel restrictions on delaying overall epidemic progression, and were found to have a marked effect at the international scale, but only a 3–5 day delay within China. A study focused on the effects of extending or relaxing physical distancing control measures in Wuhan has suggested that if the measures are gradually relaxed in March, a second wave of cases might occur in the northern hemisphere mid-summer. Country-specific models of the effects of travel restrictions and social distancing, as well as the alternative strategies after the relaxation of these interventions, such as the use of face masks, temperature checks, and contact tracing, are now needed. Case fatality rate (CFR) is one of the important unknowns of COVID-19. Leung and colleagues estimated the confirmed CFR (cCFR) outside Hubei was 0·98% (95% CI 0·82–1·16), which was consistent with the report from the Chinese Center for Disease Control and Prevention. Since the epidemics in the studied locations did not overwhelm the health-care capacities, the data on the number of confirmed cases are believed to be reliable. Leung and colleagues also found the cCFR was correlated with provincial per capita gross domestic product and the availability of hospital beds per 10 000. In Wuhan, the CFR was up to 5·08% by March 28, 2020. The remarkable difference in the CFRa between these locations and Wuhan might be attributed to the difference in the degrees of health-care capacity. Therefore, consideration should be given to the variations in health-care capacity when implementing interventions. While the epidemic is growing exponentially, the health-care system will face severe burdens. Governments should act and prepare immediately to ensure that the health-care system has adequate labour, resources, and facilities to minimise the mortality risk of COVID-19.
  4 in total

1.  First-wave COVID-19 transmissibility and severity in China outside Hubei after control measures, and second-wave scenario planning: a modelling impact assessment.

Authors:  Kathy Leung; Joseph T Wu; Di Liu; Gabriel M Leung
Journal:  Lancet       Date:  2020-04-08       Impact factor: 79.321

2.  The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study.

Authors:  Kiesha Prem; Yang Liu; Timothy W Russell; Adam J Kucharski; Rosalind M Eggo; Nicholas Davies; Mark Jit; Petra Klepac
Journal:  Lancet Public Health       Date:  2020-03-25

3.  The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak.

Authors:  Matteo Chinazzi; Jessica T Davis; Marco Ajelli; Corrado Gioannini; Maria Litvinova; Stefano Merler; Ana Pastore Y Piontti; Kunpeng Mu; Luca Rossi; Kaiyuan Sun; Cécile Viboud; Xinyue Xiong; Hongjie Yu; M Elizabeth Halloran; Ira M Longini; Alessandro Vespignani
Journal:  Science       Date:  2020-03-06       Impact factor: 47.728

4.  The effect of human mobility and control measures on the COVID-19 epidemic in China.

Authors:  Moritz U G Kraemer; Chia-Hung Yang; Bernardo Gutierrez; Chieh-Hsi Wu; Brennan Klein; David M Pigott; Louis du Plessis; Nuno R Faria; Ruoran Li; William P Hanage; John S Brownstein; Maylis Layan; Alessandro Vespignani; Huaiyu Tian; Christopher Dye; Oliver G Pybus; Samuel V Scarpino
Journal:  Science       Date:  2020-03-25       Impact factor: 47.728

  4 in total
  177 in total

1.  Self-efficacy, social distancing, and essential worker status dynamics among SGM people.

Authors:  Gabriel Robles; Daniel Sauermilch; Tyrel J Starks
Journal:  Ann LGBTQ Public Popul Health       Date:  2020-12-01

2.  Impacts of the COVID-19 Pandemic on Public Hospitals of Different Levels: Six-Month Evidence from Shanghai, China.

Authors:  Yuqian Chen; Miao Cai; Zhipeng Li; Xiaojun Lin; Linan Wang
Journal:  Risk Manag Healthc Policy       Date:  2021-09-01

3. 

Authors:  文慧 林; 冠男 白; 威 何; 菲 杨; 伟 李; 燕 闵; Ying Lu; Ann Hsing; 善宽 朱
Journal:  Zhejiang Da Xue Xue Bao Yi Xue Ban       Date:  2021-12-25

4.  Association between napping status and depressive symptoms in urban residents during the COVID-19 epidemic.

Authors:  Wenhui Lin; Guannan Bai; Wei He; Fei Yang; Wei Li; Yan Min; Ying Lu; Ann Hsing; Shankuan Zhu
Journal:  Zhejiang Da Xue Xue Bao Yi Xue Ban       Date:  2021-12-25

5.  Machine Learning for Prediction of Patients on Hemodialysis with an Undetected SARS-CoV-2 Infection.

Authors:  Caitlin K Monaghan; John W Larkin; Sheetal Chaudhuri; Hao Han; Yue Jiao; Kristine M Bermudez; Eric D Weinhandl; Ines A Dahne-Steuber; Kathleen Belmonte; Luca Neri; Peter Kotanko; Jeroen P Kooman; Jeffrey L Hymes; Robert J Kossmann; Len A Usvyat; Franklin W Maddux
Journal:  Kidney360       Date:  2021-01-13

6.  Genomic Variations in SARS-CoV-2 Genomes From Gujarat: Underlying Role of Variants in Disease Epidemiology.

Authors:  Madhvi Joshi; Apurvasinh Puvar; Dinesh Kumar; Afzal Ansari; Maharshi Pandya; Janvi Raval; Zarna Patel; Pinal Trivedi; Monika Gandhi; Labdhi Pandya; Komal Patel; Nitin Savaliya; Snehal Bagatharia; Sachin Kumar; Chaitanya Joshi
Journal:  Front Genet       Date:  2021-03-19       Impact factor: 4.599

7.  The willingness for dietary and behavioral changes in frontline epidemic prevention workers after experiencing the outbreak of COVID-19 in China: a cross-sectional study.

Authors:  Weijun Yu; Ying Xu; Jianhua Zhang; Qing Yuan; Yanfang Guo; Zhixue Li; Xiangyang He; Yan Ma; Fengmin Cai; Zheng Liu; Rencheng Zhao; Dewang Wang; Jialong Chen; Quanwei Guo
Journal:  Environ Health Prev Med       Date:  2021-05-18       Impact factor: 3.674

Review 8.  Strengthening health system building blocks: configuring post-COVID-19 scenario in Pakistan.

Authors:  Babar Tasneem Shaikh
Journal:  Prim Health Care Res Dev       Date:  2021-03-25       Impact factor: 1.458

Review 9.  Epidemiology, pathogenesis, clinical presentations, diagnosis and treatment of COVID-19: a review of current evidence.

Authors:  Sayeeda Rahman; Maria Teresa Villagomez Montero; Kherie Rowe; Rita Kirton; Frank Kunik
Journal:  Expert Rev Clin Pharmacol       Date:  2021-05-03       Impact factor: 5.045

10.  The Impact of COVID-19 Interventions on Influenza and Mycobacterium Tuberculosis Infection.

Authors:  Yiman Geng; Gang Li; Leiliang Zhang
Journal:  Front Public Health       Date:  2021-05-21
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