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Nina H Fefferman

Showing results (31-40 of 67) with videos related to

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Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|February 18, 2015
Evidence that implicit assumptions of 'no evolution' of disease vectors in changing environments can be violated on a rapid timescaleAndrea Egizi, Nina H Fefferman, Dina M Fonseca
Plos Computational Biology|June 28, 2021
How public reaction to disease information across scales and the impacts of vector control methods influence disease prevalence and control efficacyJing Jiao, Gonzalo P Suarez, Nina H Fefferman
Infection Control and Hospital Epidemiology|October 21, 2016
Patients as Patches: Ecology and Epidemiology in Healthcare EnvironmentsEric T Lofgren, Andrea M Egizi, Nina H Fefferman
Ecology Letters|August 24, 2022
Capturing complex interactions in disease ecology with simplicial setsMatthew J Silk, Mark Q Wilber, Nina H Fefferman
Ecology and Evolution|February 16, 2024
Potential extinction cascades in a desert ecosystem: Linking food web interactions to community viabilityAdam J Eichenwald, Nina H Fefferman, J Michael Reed
Plos Biology|September 12, 2022
Considering humans as habitat reveals evidence of successional disease ecology among human pathogensNina H Fefferman, Charles A Price, Oliver C Stringham
Disaster Medicine and Public Health Preparedness|December 15, 2022
Influence of Lived Experiences on Public Responses to Future Diseases via (De)Sensitization of ConcernAlexander J Pritchard, Matthew J Silk, Nina H Fefferman
Journal of Public Health Policy|January 6, 2006
Confidentiality and confidence: is data aggregation a means to achieve both?Nina H Fefferman, Eileen A O'Neil, Elena N Naumova
Plos One|January 11, 2022
How social learning shapes the efficacy of preventative health behaviors in an outbreakSimon Carrignon, R Alexander Bentley, Matthew Silk, et al.
The Journal of Animal Ecology|July 15, 2022
High prevalence does not necessarily equal maintenance species: Avoiding biased claims of disease reservoirs when using surveillance dataMark Q Wilber, Joseph DeMarchi, Nina H Fefferman, et al.
Pageof 7

Showing results (31-40 of 67) with videos related to

Sort By:
Pageof 7
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|February 18, 2015
Evidence that implicit assumptions of 'no evolution' of disease vectors in changing environments can be violated on a rapid timescaleAndrea Egizi, Nina H Fefferman, Dina M Fonseca
Plos Computational Biology|June 28, 2021
How public reaction to disease information across scales and the impacts of vector control methods influence disease prevalence and control efficacyJing Jiao, Gonzalo P Suarez, Nina H Fefferman
Infection Control and Hospital Epidemiology|October 21, 2016
Patients as Patches: Ecology and Epidemiology in Healthcare EnvironmentsEric T Lofgren, Andrea M Egizi, Nina H Fefferman
Ecology Letters|August 24, 2022
Capturing complex interactions in disease ecology with simplicial setsMatthew J Silk, Mark Q Wilber, Nina H Fefferman
Ecology and Evolution|February 16, 2024
Potential extinction cascades in a desert ecosystem: Linking food web interactions to community viabilityAdam J Eichenwald, Nina H Fefferman, J Michael Reed
Plos Biology|September 12, 2022
Considering humans as habitat reveals evidence of successional disease ecology among human pathogensNina H Fefferman, Charles A Price, Oliver C Stringham
Disaster Medicine and Public Health Preparedness|December 15, 2022
Influence of Lived Experiences on Public Responses to Future Diseases via (De)Sensitization of ConcernAlexander J Pritchard, Matthew J Silk, Nina H Fefferman
Journal of Public Health Policy|January 6, 2006
Confidentiality and confidence: is data aggregation a means to achieve both?Nina H Fefferman, Eileen A O'Neil, Elena N Naumova
Plos One|January 11, 2022
How social learning shapes the efficacy of preventative health behaviors in an outbreakSimon Carrignon, R Alexander Bentley, Matthew Silk, et al.
The Journal of Animal Ecology|July 15, 2022
High prevalence does not necessarily equal maintenance species: Avoiding biased claims of disease reservoirs when using surveillance dataMark Q Wilber, Joseph DeMarchi, Nina H Fefferman, et al.
Pageof 7