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Development of an Index to Measure West Nile Virus Transmission Risk in New Jersey Counties
Author(s) -
Aaron M. Rosenbaum,
Mojisola Ojo,
Levent Dumenci,
Aimee J. Palumbo,
Lisa Reed,
Scott C. Crans,
Greg Williams,
Jennifer Gruener,
Nicholas Indelicato,
Kim Cervantes
Publication year - 2021
Publication title -
journal of the american mosquito control association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.424
H-Index - 61
eISSN - 1943-6270
pISSN - 8756-971X
DOI - 10.2987/21-7029
Subject(s) - west nile virus , transmission (telecommunications) , biology , population , index (typography) , risk assessment , environmental health , abundance (ecology) , demography , veterinary medicine , virology , ecology , virus , medicine , computer security , sociology , world wide web , computer science , electrical engineering , engineering
We developed an index for use by New Jersey counties to measure West Nile virus (WNV) transmission risk to the human population. We used a latent profile analysis to develop the index, identifying categories of environmental conditions associated with WNV transmission risk to humans. The final model included 4 indicators of transmission risk: mosquito abundance and minimum field infection rate, temperature, and human case count. We used data from 2004 to 2018 from all 21 New Jersey counties aggregated into 11 2-wk units per county per year (N = 3,465). Three WNV risk classes were identified. The Low Risk class had low levels of all variables. The Moderate Risk class had high abundance, average temperature levels, and low levels of the other variables. The High Risk class had substantially above average human case likelihood, average temperature, and high mosquito infection rates. These results suggest the presence of 3 distinct WNV risk profiles, which can be used to guide the development of public health actions intended to mitigate WNV transmission risk to the human population.

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