Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Kaitlyn M Martinez"'
Autor:
Lauren J Beesley, Paolo Patelli, Kimberly Kaufeld, Jon Schwenk, Kaitlyn M Martinez, Travis Pitts, Martha Barnard, Ben McMahon, Sara Y Del Valle
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0279894 (2023)
The COVID-19 pandemic has highlighted a need for better understanding of countries' vulnerability and resilience to not only pandemics but also disasters, climate change, and other systemic shocks. A comprehensive characterization of vulnerability ca
Externí odkaz:
https://doaj.org/article/a3ad4d8271734835963eeb169ca91008
Autor:
Lauren J. Beesley, Paolo Patelli, Kimberly Kaufeld, Jon Schwenk, Kaitlyn M. Martinez, Travis Pitts, Martha Barnard, Ben McMahon, Sara Y. Del Valle
Publikováno v:
PloS one. 18(1)
The COVID-19 pandemic has highlighted a need for better understanding of countries’ vulnerability and resilience to not only pandemics but also disasters, climate change, and other systemic shocks. A comprehensive characterization of vulnerability
Autor:
Imelda Trejo, Martha Barnard, Julie A. Spencer, Jeffrey Keithley, Kaitlyn M. Martinez, Isabel Crooker, Nicolas Hengartner, Ethan O. Romero-Severson, Carrie Manore
Publikováno v:
PLOS Climate. 2:e0000115
As temperatures change worldwide, the pattern and competency of disease vectors will change, altering the global distribution of both the burden of infectious disease and the risk of the emergence of those diseases into new regions. To evaluate the r
Autor:
Marina Mancuso, Kaitlyn M. Martinez, Carrie A. Manore, Fabio A. Milner, Martha Barnard, Humberto Godinez
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 9 (2023)
Climate change is arguably one of the most pressing issues affecting the world today and requires the fusion of disparate data streams to accurately model its impacts. Mosquito populations respond to temperature and precipitation in a nonlinear way,
Externí odkaz:
https://doaj.org/article/4907471c8ef447f189badf4bf2a5b196