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Mark Nicas

Researcher at University of California, Berkeley

Publications -  70
Citations -  2882

Mark Nicas is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Population & Infectious dose. The author has an hindex of 28, co-authored 69 publications receiving 2535 citations.

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Toward Understanding the Risk of Secondary Airborne Infection: Emission of Respirable Pathogens

TL;DR: Patients termed “superspreaders” or “dangerous disseminators” are those infrequently encountered persons with high values of cough and/or sneeze frequency, elevated pathogen concentration in respiratory fluid, and/ or increased respirable aerosol volume per expiratory event such that their pathogen emission rate is much higher than average.
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A Study Quantifying the Hand-to-Face Contact Rate and Its Potential Application to Predicting Respiratory Tract Infection

TL;DR: The authors developed a relatively simple algebraic model for estimating the dose of pathogens transferred to target facial membranes during a defined exposure period and a hypothetical but plausible example involving influenza A virus transmission is presented to illustrate the model.
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Relative contributions of four exposure pathways to influenza infection risk.

TL;DR: A mathematical model was used to estimate the relative contributions of the four pathways to infection risk in the context of a person attending a bed‐ridden family member ill with influenza and concluded that pathway (1) is the most important overall.
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An integrated model of infection risk in a health-care environment.

TL;DR: An integrated model of pertinent source‐environment‐receptor pathways is presented, and it is used to show that a biocidal finish on textile surfaces has the potential to substantially reduce infection risk via the hand‐to‐mucous‐membrane exposure pathway.
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Estimating Exposure Intensity in an Imperfectly Mixed Room

TL;DR: If a room has a single or dominant point source of contaminant, it is recommended that the purging flow rate near the release point be determined, which permits a more accurate prediction of a worker's exposure intensity near the source.