Literature DB >> 32191813

COVID-19 epidemic in Switzerland: on the importance of testing, contact tracing and isolation.

Marcel Salathé1, Christian L Althaus2, Richard Neher3, Silvia Stringhini, Emma Hodcroft, Jacques Fellay4, Marcel Zwahlen2, Gabriela Senti5, Manuel Battegay6, Annelies Wilder-Smith7, Isabella Eckerle8, Matthias Egger2, Nicola Low2.   

Abstract

Switzerland is among the countries with the highest number of coronavirus disease-2019 (COVID-19) cases per capita in the world. There are likely many people with undetected SARS-CoV-2 infection because testing efforts are currently not detecting all infected people, including some with clinical disease compatible with COVID-19. Testing on its own will not stop the spread of SARS-CoV-2. Testing is part of a strategy. The World Health Organization recommends a combination of measures: rapid diagnosis and immediate isolation of cases, rigorous tracking and precautionary self-isolation of close contacts. In this article, we explain why the testing strategy in Switzerland should be strengthened urgently, as a core component of a combination approach to control COVID-19.

Entities:  

Mesh:

Year:  2020        PMID: 32191813     DOI: 10.4414/smw.2020.20225

Source DB:  PubMed          Journal:  Swiss Med Wkly        ISSN: 0036-7672            Impact factor:   2.193


  133 in total

1.  Systems dynamics approach for modelling South Africa's response to COVID-19: A "what if" scenario.

Authors:  Shingirirai Savious Mutanga; Mercy Ngungu; Fhulufhelo Phillis Tshililo; Martin Kaggwa
Journal:  J Public Health Res       Date:  2021-02-01

2.  Leveraging Africa's preparedness towards the next phase of the COVID-19 pandemic.

Authors:  Madikay Senghore; Merveille K Savi; Bénédicte Gnangnon; William P Hanage; Iruka N Okeke
Journal:  Lancet Glob Health       Date:  2020-05-14       Impact factor: 26.763

3.  Fast detection of SARS-CoV-2 RNA via the integration of plasmonic thermocycling and fluorescence detection in a portable device.

Authors:  Jiyong Cheong; Hojeong Yu; Chang Yeol Lee; Jung-Uk Lee; Hyun-Jung Choi; Jae-Hyun Lee; Hakho Lee; Jinwoo Cheon
Journal:  Nat Biomed Eng       Date:  2020-12-03       Impact factor: 25.671

Review 4.  The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype.

Authors:  Musa Abdulkareem; Steffen E Petersen
Journal:  Front Artif Intell       Date:  2021-05-14

5.  Is minor surgery safe during the COVID-19 pandemic? A multi-disciplinary study.

Authors:  Michael Baboudjian; Mehdi Mhatli; Adel Bourouina; Bastien Gondran-Tellier; Vassili Anastay; Lea Perez; Pauline Proye; Jean-Pierre Lavieille; Fanny Duchateau; Aubert Agostini; Yann Wazne; Frederic Sebag; Jean-Marc Foletti; Cyrille Chossegros; Didier Raoult; Julian Touati; Christophe Chagnaud; Justin Michel; Baptiste Bertrand; Antoine Giovanni; Thomas Radulesco; Catherine Sartor; Pierre-Edouard Fournier; Eric Lechevallier
Journal:  PLoS One       Date:  2021-05-11       Impact factor: 3.240

6.  Comparative Study of COVID-19 Pandemic Progressions in 175 Regions in Australia, Canada, Italy, Japan, Spain, U.K. and USA Using a Novel Model That Considers Testing Capacity and Deficiency in Confirming Infected Cases.

Authors:  Choujun Zhan; Chi K Tse; Ying Gao; Tianyong Hao
Journal:  IEEE J Biomed Health Inform       Date:  2021-08-05       Impact factor: 5.772

7.  Factors Affecting COVID-19 Vaccine Acceptance: An International Survey among Low- and Middle-Income Countries.

Authors:  Suzanna Awang Bono; Edlaine Faria de Moura Villela; Ching Sin Siau; Won Sun Chen; Supa Pengpid; M Tasdik Hasan; Philippe Sessou; John D Ditekemena; Bob Omoda Amodan; Mina C Hosseinipour; Housseini Dolo; Joseph Nelson Siewe Fodjo; Wah Yun Low; Robert Colebunders
Journal:  Vaccines (Basel)       Date:  2021-05-17

8.  Non-Contact Monitoring and Classification of Breathing Pattern for the Supervision of People Infected by COVID-19.

Authors:  Ariana Tulus Purnomo; Ding-Bing Lin; Tjahjo Adiprabowo; Willy Fitra Hendria
Journal:  Sensors (Basel)       Date:  2021-05-03       Impact factor: 3.576

9.  Data-driven test strategy for COVID-19 using machine learning: A study in Lahore, Pakistan.

Authors:  Chuanli Huang; Min Wang; Warda Rafaqat; Salman Shabbir; Liping Lian; Jun Zhang; Siuming Lo; Weiguo Song
Journal:  Socioecon Plann Sci       Date:  2021-06-08       Impact factor: 4.923

10.  COVID-19 diagnosis by routine blood tests using machine learning.

Authors:  Matjaž Kukar; Gregor Gunčar; Tomaž Vovko; Simon Podnar; Peter Černelč; Miran Brvar; Mateja Zalaznik; Mateja Notar; Sašo Moškon; Marko Notar
Journal:  Sci Rep       Date:  2021-05-24       Impact factor: 4.379

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