Seasonal and Habitat Effects on Dengue and West Nile Virus Vectors in San Juan, Puerto Rico

2009 ◽  
Vol 25 (1) ◽  
pp. 38-46 ◽  
Author(s):  
Joshua Smith ◽  
Manuel Amador ◽  
Roberto Barrera
2011 ◽  
Vol 48 (3) ◽  
pp. 701-704 ◽  
Author(s):  
Roberto Barrera ◽  
Manuel Amador ◽  
Ginger Young ◽  
Nicholas Komar

2010 ◽  
Vol 47 (6) ◽  
pp. 1185-1195 ◽  
Author(s):  
R. Barrera ◽  
A. Mackay ◽  
M. Amador ◽  
J. Vasquez ◽  
J. Smith ◽  
...  

2013 ◽  
Vol 88 (1) ◽  
pp. 108-115 ◽  
Author(s):  
Rebekah C. Kading ◽  
Maria Eugenia Morales-Betoulle ◽  
Nicholas Komar ◽  
Ana Silvia Gonzalez Reiche

2019 ◽  
Vol 55 (1) ◽  
pp. 105-113 ◽  
Author(s):  
Faramarz Bozorg-Omid ◽  
Mohammad Ali Oshaghi ◽  
Mozaffar Vahedi ◽  
Fateh Karimian ◽  
Seyyed Javad Seyyed-Zadeh ◽  
...  

2015 ◽  
Vol 19 (18) ◽  
pp. 1-18 ◽  
Author(s):  
Heidi E. Brown ◽  
Alex Young ◽  
Joceline Lega ◽  
Theodore G. Andreadis ◽  
Jessica Schurich ◽  
...  

Abstract While estimates of the impact of climate change on health are necessary for health care planners and climate change policy makers, models to produce quantitative estimates remain scarce. This study describes a freely available dynamic simulation model parameterized for three West Nile virus vectors, which provides an effective tool for studying vectorborne disease risk due to climate change. The Dynamic Mosquito Simulation Model is parameterized with species-specific temperature-dependent development and mortality rates. Using downscaled daily weather data, this study estimates mosquito population dynamics under current and projected future climate scenarios for multiple locations across the country. Trends in mosquito abundance were variable by location; however, an extension of the vector activity periods, and by extension disease risk, was almost uniformly observed. Importantly, midsummer decreases in abundance may be offset by shorter extrinsic incubation periods, resulting in a greater proportion of infective mosquitoes. Quantitative descriptions of the effect of temperature on the virus and mosquito are critical to developing models of future disease risk.


2011 ◽  
Vol 4 (1) ◽  
Author(s):  
Donal Bisanzio ◽  
Mario Giacobini ◽  
Luigi Bertolotti ◽  
Andrea Mosca ◽  
Luca Balbo ◽  
...  

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