Literature DB >> 33784886

Role of high-dose exposure in transmission hot zones as a driver of SARS-CoV-2 dynamics.

Dominik Wodarz1, Natalia L Komarova2, Luis M Schang3.   

Abstract

Epidemiological data about SARS-CoV-2 spread indicate that the virus is not transmitted uniformly in the population. The transmission tends to be more effective in select settings that involve exposure to relatively high viral dose, such as in crowded indoor settings, assisted living facilities, prisons or food processing plants. To explore the effect on infection dynamics, we describe a new mathematical model where transmission can occur (i) in the community at large, characterized by low-dose exposure and mostly mild disease, and (ii) in so-called transmission hot zones, characterized by high-dose exposure that can be associated with more severe disease. The model yields different types of epidemiological dynamics, depending on the relative importance of hot zone and community transmission. Interesting dynamics occur if the rate of virus release/deposition from severely infected people is larger than that of mildly infected individuals. Under this assumption, we find that successful infection spread can hinge upon high-dose hot zone transmission, yet the majority of infections are predicted to occur in the community at large with mild disease. In this regime, residual hot zone transmission can account for continued virus spread during community lockdowns, and the suppression of hot zones after community interventions are relaxed can cause a prolonged lack of infection resurgence following the reopening of society. This gives rise to the notion that targeted interventions specifically reducing virus transmission in the hot zones have the potential to suppress overall infection spread, including in the community at large. Epidemiological trends in the USA and Europe are interpreted in light of this model.

Entities:  

Keywords:  COVID-19; SARS-CoV-2; epidemiology; infectious dose

Mesh:

Year:  2021        PMID: 33784886     DOI: 10.1098/rsif.2020.0916

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  4 in total

1.  Modeling SARS-CoV-2 propagation using rat coronavirus-associated shedding and transmission.

Authors:  Caroline J Zeiss; Jennifer L Asher; Brent Vander Wyk; Heather G Allore; Susan R Compton
Journal:  PLoS One       Date:  2021-11-23       Impact factor: 3.240

2.  Association between city-wide lockdown and COVID-19 hospitalization rates in multigenerational households in New York City.

Authors:  Arnab K Ghosh; Sara Venkatraman; Evgeniya Reshetnyak; Mangala Rajan; Anjile An; John K Chae; Mark A Unruh; David Abramson; Charles DiMaggio; Nathaniel Hupert
Journal:  PLoS One       Date:  2022-03-30       Impact factor: 3.240

3.  Modeling scenarios for mitigating outbreaks in congregate settings.

Authors:  Seth Blumberg; Phoebe Lu; Ada T Kwan; Christopher M Hoover; James O Lloyd-Smith; David Sears; Stefano M Bertozzi; Lee Worden
Journal:  PLoS Comput Biol       Date:  2022-07-20       Impact factor: 4.779

4.  Mitigating outbreaks in congregate settings by decreasing the size of the susceptible population.

Authors:  Seth Blumberg; Phoebe Lu; Christopher M Hoover; James O Lloyd-Smith; Ada T Kwan; David Sears; Stefano M Bertozzi; Lee Worden
Journal:  medRxiv       Date:  2021-07-07
  4 in total

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