Michael A. Johansson
Centers for Disease Control and Prevention
134 Papers
391 Citations
Michael A. Johansson is an academic researcher from Centers for Disease Control and Prevention. The author has contributed to research in topics: Medicine & Zika virus. The author has an hindex of 41, co-authored 121 publications. Previous affiliations of Michael A. Johansson include Johns Hopkins University & Harvard University.
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Papers
SARS-CoV-2 Transmission From People Without COVID-19 Symptoms.
Michael A. Johansson,Talia M. Quandelacy,Sarah Kada,Pragati V. Prasad,Molly C. Steele,John T. Brooks,Rachel B. Slayton,Matthew Biggerstaff,Jay C. Butler +8 more
- 04 Jan 2021
TL;DR: In this article, a decision analytical model assessed the relative amount of transmission from presymptomatic, never symptomatic, and symptomatic individuals across a range of scenarios in which the proportion of transmissions from people who never develop symptoms (i.e., remain asymptotic) and the infectious period were varied according to published best estimates.
Emergence of SARS-CoV-2 B.1.1.7 Lineage - United States, December 29, 2020-January 12, 2021.
Summer E. Galloway,Prabasaj Paul,Duncan MacCannell,Michael A. Johansson,John T. Brooks,Adam MacNeil,Rachel B. Slayton,Suxiang Tong,Benjamin J. Silk,Gregory L. Armstrong,Matthew Biggerstaff,Vivien G. Dugan +11 more
TL;DR: The B.1.7 variant is estimated to have emerged in September 2020 and has quickly become the dominant circulating SARS-CoV-2 variant in England (1) as discussed by the authors.
The Incubation Periods of Dengue Viruses
TL;DR: These incubation period models should be useful in clinical diagnosis, outbreak investigation, prevention and control efforts, and mathematical modeling of dengue virus transmission.
Impact of human mobility on the emergence of dengue epidemics in Pakistan
Amy Wesolowski,Taimur Qureshi,Maciej F. Boni,Pål Sundsøy,Michael A. Johansson,Syed Basit Rasheed,Kenth Engø-Monsen,Caroline O. Buckee +7 more
TL;DR: It is shown that an epidemiological model of dengue transmission in travelers, based on mobility data from ∼40 million mobile phone subscribers and climatic information, predicts the geographic spread and timing of epidemics throughout the country.
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Modelling adult Aedes aegypti and Aedes albopictus survival at different temperatures in laboratory and field settings
Oliver J. Brady,Michael A. Johansson,Carlos A Guerra,Samir Bhatt,Nick Golding,David M. Pigott,Hélène Delatte,Marta Gladys Grech,Paul T. Leisnham,Rafael Maciel-de-Freitas,Linda M. Styer,David L. Smith,David L. Smith,Thomas W. Scott,Thomas W. Scott,Peter W. Gething,Simon I. Hay,Simon I. Hay +17 more
TL;DR: The results support the importance of producing site-specific mosquito survival estimates and provide insight into seasonal patterns of Ae.