Transmission Dynamics and Control of Severe Acute Respiratory Syndrome
Marc Lipsitch,Ted Cohen,Ben S. Cooper,James M. Robins,Stefan Ma,Lyn James,Gowri Gopalakrishna,Suok Kai Chew,Chorh Chuan Tan,Matthew H. Samore,David N. Fisman,Megan Murray +11 more
TLDR
It is estimated that a single infectious case of SARS will infect about three secondary cases in a population that has not yet instituted control measures, and public-health efforts to reduce transmission are expected to have a substantial impact on reducing the size of the epidemic.Abstract:
Severe acute respiratory syndrome (SARS) is a recently described illness of humans that has spread widely over the past 6 months. With the use of detailed epidemiologic data from Singapore and epidemic curves from other settings, we estimated the reproductive number for SARS in the absence of interventions and in the presence of control efforts. We estimate that a single infectious case of SARS will infect about three secondary cases in a population that has not yet instituted control measures. Public-health efforts to reduce transmission are expected to have a substantial impact on reducing the size of the epidemic.read more
Citations
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Work-related Covid-19 transmission
TL;DR: Work-related transmission is considerable in early Covid-19 outbreaks, and the elevated risk of infection was not limited to HCW, so implementing preventive/surveillance strategies for high-risk working populations is warranted.
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A generalized overview of SARS-COV-2: Where does the current knowledge stand?
Hiya Islam,Ahsab Rahman,Jaasia Masud,Dipita Saha Shweta,Yusha Araf,Md. Asad Ullah,Syed Muktadir Al Sium,Bishajit Sarkar +7 more
TL;DR: A comprehensive insight on the recently emerged Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) including its origin, transmission mechanism, pathophysiology and updated treatment methods is provided.
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Mitigating COVID-19 outbreak via high testing capacity and strong transmission-intervention in the United States
TL;DR: A mathematical model is developed that characterizes infections by state and incorporates inflows and outflows of interstate travelers of the COVID-19 pandemic and could be used to determine resources needed before safely lifting state policies on social distancing.
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The large scale machine learning in an artificial society: prediction of the Ebola outbreak in Beijing
TL;DR: The conclusion is finally drawn that Ebola is impossible to outbreak in large scale in the city of Beijing, by simulating the emergency responses of Chinese government.
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Persistent infections support maintenance of a coronavirus in a population of Australian bats (Myotis macropus)
Jaewoon Jeong,Craig S. Smith,Alison J. Peel,Raina K. Plowright,Douglas H. Kerlin,James McBroom,Hamish McCallum +6 more
TL;DR: Analysis of capture–mark–recapture (CMR) data from a species of Australian bat infected with a putative novel Alphacoronavirus within a Bayesian framework found that the CMR data analysis supported grouping of infectious bats into persistently and transiently infectious bats.
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