Statistical Tools for West Nile Virus Disease Analysis
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Publisher
Springer US
Link
https://link.springer.com/content/pdf/10.1007/978-1-0716-2760-0_16
Reference9 articles.
1. DeFelice NB, Schneider Z, Little E, Barker C, Caillouet KA, Campbell SR, Damian D, Irwin P, Jones HMP, Townsend J, Shaman J (2018) Use of temperature to improve West Nile virus forecasts. PLoS Comput Biol 14(3). https://doi.org/10.1371/journal.pcbi.1006047
2. Shocket MS, Verwillow AB, Numazu MG, Slamani H, Cohen JM, El Moustaid F et al (2020) Transmission of West Nile and five other temperate mosquito-borne viruses peaks at temperatures between 23 C and 26 C. elife 9:e58511
3. Little E, Campbell SR, Shaman J (2016) Development and validation of a climate-based ensemble prediction model for West Nile virus infection rates in Culex mosquitoes, Suffolk County, New York. Parasit Vectors 9(1):443
4. Barber LM, Schleier JJ, Peterson RK (2010) Economic cost analysis of West Nile virus outbreak, Sacramento county, California, USA, 2005. Emerg Infect Dis 16(3):480–486
5. DeFelice NB, Birger R, DeFelice N, Gagner A, Campbell SR, Romano C, Santoriello M, Henke J, Wittie J, Cole B, Kaiser C, Shaman J (2019) Modeling and surveillance of reporting delays of mosquitoes and humans infected with West Nile virus and associations with accuracy of West Nile virus forecasts. JAMA Netw Open 2(4):e193175. https://doi.org/10.1001/jamanetworkopen.2019.3175
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