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      SARS-CoV-2 in migrant worker dormitories: Geospatial epidemiology supporting outbreak management

      research-article
      a , b , * , c , b , d , c , e , c , c , e , e , f , f , f , c , a , c , e , c , c , c , e , g , h , i , c , e
      International Journal of Infectious Diseases
      The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
      ARI, acute respiratory illness, PCR, polymerase chain reaction, R, reproductive number , SARS-CoV-2, severe acute respiratory syndrome coronavirus 2, T d, doubling time , V, serial interval , SARS-CoV-2, Outbreak management, Migrant worker, High-density housing, Geospatial epidemiology, Doubling time, Lock-down

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          Abstract

          Background

          Migrant worker dormitories—residential complexes where 10–24 workers share living spaces—account for the majority of cases of SARS-CoV-2 infection in Singapore. To prevent overspill of transmission to the wider population, starting in early April 2020, residents were confined to their dormitories while measures were put in place to arrest the spread of infection. This descriptive study presents epidemiological data for a population of more than 60 000 migrant workers living in two barracks-style and four apartment-style dormitories located in western Singapore from April 3 to June 10, 2020.

          Methods

          Our report draws from data obtained over the first 50 days of outbreak management in order to describe SARS-CoV-2 transmission in high-density housing environments. Cumulative counts of SARS-CoV-2 cases and numbers of housing units affected were analyzed to report the harmonic means of harmonic means of doubling times and their 95% confidence intervals (CI).

          Results

          Multiple transmission peaks were identified involving at least 5467 cases of SARS-CoV-2 infection across six dormitories. Our geospatial heat maps gave an early indication of outbreak severity in affected buildings. We found that the number of cases of SARS-CoV-2 infection doubled every 1.56 days (95% CI 1.29–1.96) in barracks-style buildings. The corresponding doubling time for apartment-style buildings was 2.65 days (95% CI 2.01–3.87).

          Conclusions

          Geospatial epidemiology was useful in shaping outbreak management strategies in dormitories. Our results indicate that building design plays an integral role in transmission and should be considered in the prevention of future outbreaks.

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          Most cited references27

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          Persistence of coronaviruses on inanimate surfaces and their inactivation with biocidal agents

          Summary Currently, the emergence of a novel human coronavirus, SARS-CoV-2, has become a global health concern causing severe respiratory tract infections in humans. Human-to-human transmissions have been described with incubation times between 2-10 days, facilitating its spread via droplets, contaminated hands or surfaces. We therefore reviewed the literature on all available information about the persistence of human and veterinary coronaviruses on inanimate surfaces as well as inactivation strategies with biocidal agents used for chemical disinfection, e.g. in healthcare facilities. The analysis of 22 studies reveals that human coronaviruses such as Severe Acute Respiratory Syndrome (SARS) coronavirus, Middle East Respiratory Syndrome (MERS) coronavirus or endemic human coronaviruses (HCoV) can persist on inanimate surfaces like metal, glass or plastic for up to 9 days, but can be efficiently inactivated by surface disinfection procedures with 62–71% ethanol, 0.5% hydrogen peroxide or 0.1% sodium hypochlorite within 1 minute. Other biocidal agents such as 0.05–0.2% benzalkonium chloride or 0.02% chlorhexidine digluconate are less effective. As no specific therapies are available for SARS-CoV-2, early containment and prevention of further spread will be crucial to stop the ongoing outbreak and to control this novel infectious thread.
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            Covid-19: risk factors for severe disease and death

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              Is Open Access

              Does comorbidity increase the risk of patients with COVID-19: evidence from meta-analysis

              Currently, the number of patients with coronavirus disease 2019 (COVID-19) has increased rapidly, but relationship between comorbidity and patients with COVID-19 still not clear. The aim was to explore whether the presence of common comorbidities increases COVID-19 patients’ risk. A literature search was performed using the electronic platforms (PubMed, Cochrane Library, Embase, and other databases) to obtain relevant research studies published up to March 1, 2020. Relevant data of research endpoints in each study were extracted and merged. All data analysis was performed using Stata12.0 software. A total of 1558 patients with COVID-19 in 6 studies were enrolled in our meta-analysis eventually. Hypertension (OR: 2.29, P<0.001), diabetes (OR: 2.47, P<0.001), chronic obstructive pulmonary disease (COPD) (OR: 5.97, P<0.001), cardiovascular disease (OR: 2.93, P<0.001), and cerebrovascular disease (OR:3.89, P=0.002)were independent risk factors associated with COVID-19 patients. The meta-analysis revealed no correlation between increased risk of COVID-19 and liver disease, malignancy, or renal disease. Hypertension, diabetes, COPD, cardiovascular disease, and cerebrovascular disease are major risk factors for patients with COVID-19. Knowledge of these risk factors can be a resource for clinicians in the early appropriate medical management of patients with COVID-19.
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                Author and article information

                Journal
                Int J Infect Dis
                Int J Infect Dis
                International Journal of Infectious Diseases
                The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
                1201-9712
                1878-3511
                16 November 2020
                February 2021
                16 November 2020
                : 103
                : 389-394
                Affiliations
                [a ]Saw Swee Hock School of Public Health, National University of Singapore, Singapore
                [b ]Singapore Armed Forces, Singapore
                [c ]National University Hospital, Singapore
                [d ]Tuas South Medical Centre, Singapore
                [e ]Yong Loo Lin School of Medicine, National University of Singapore, Singapore
                [f ]Ng Teng Fong General Hospital, Singapore
                [g ]Tan Tock Seng Hospital, Singapore
                [h ]Khoo Teck Puat Hospital, Singapore
                [i ]Ministry of Health, Singapore
                Author notes
                [* ]Corresponding author at: Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
                Article
                PMC7955919 PMC7955919 7955919 S1201-9712(20)32457-7
                10.1016/j.ijid.2020.11.148
                7955919
                33212260
                ae94fe9e-d753-48db-aa2c-0fb84f2a841b
                © 2020 The Authors

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 6 October 2020
                : 6 November 2020
                : 9 November 2020
                Categories
                Article

                Doubling time,PCR, polymerase chain reaction, R, reproductive number,SARS-CoV-2, severe acute respiratory syndrome coronavirus 2, T d, doubling time, V, serial interval,SARS-CoV-2,Outbreak management,Migrant worker,High-density housing,Geospatial epidemiology,Lock-down,ARI, acute respiratory illness

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