The Arbovirus Mapping and Prediction (ArboMAP) system for West Nile virus forecasting.
JAMIA Open
; 7(1): ooad110, 2024 Apr.
Article
en En
| MEDLINE
| ID: mdl-38186743
ABSTRACT
Objectives:
West Nile virus (WNV) is the most common mosquito-borne disease in the United States. Predicting the location and timing of outbreaks would allow targeting of disease prevention and mosquito control activities. Our objective was to develop software (ArboMAP) for routine WNV forecasting using public health surveillance data and meteorological observations. Materials andMethods:
ArboMAP was implemented using an R markdown script for data processing, modeling, and report generation. A Google Earth Engine application was developed to summarize and download weather data. Generalized additive models were used to make county-level predictions of WNV cases.Results:
ArboMAP minimized the number of manual steps required to make weekly forecasts, generated information that was useful for decision-makers, and has been tested and implemented in multiple public health institutions. Discussion andConclusion:
Routine prediction of mosquito-borne disease risk is feasible and can be implemented by public health departments using ArboMAP.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
JAMIA Open
Año:
2024
Tipo del documento:
Article
País de afiliación:
Estados Unidos