PEERJ 28/03/17 A comparison of least squares regression and geographically weighted regression modeling of West Nile virus risk based on environmental parameters. Introduction West Nile Virus (WNV) is a vector-borne disease that was first detected in the United States in 1999 (Nash et al., 2001).
Within a few years the virus had spread across the North American continent (Hayes et al., 2005). WNV has had important environmental and human impacts, including a decline in numerous bird species (CDC) and increased morbidity and mortality among humans. This has also resulted in increased economic burdens due to initial acute health care needs of infected individuals and subsequent long-term costs associates with infection, estimated at approximately $56 million per year between 1999 and 2012 (Barrett, 2014).
Because that study indicated how difficult predicting and planning for WNV outbreaks was, we became interested in developing a spatially explicit model using environmental factors in an attempt to improve WNV risk predictions. MATHEMATICAL BIOSCIENCES AND ENGINEEING - APRIL 2016 - A MATHEMATICAL MODEL FOR THE SPREAD OF WEST NILE VIRUS IN MIGRATORY AND RESIDENT BIRDS. ENTOMOLOGY TODAY 30/06/16 West Nile Virus Infections Can Be Estimated by Observing Rainfall and Temperatures. A northern house mosquito (Culex pipiens), the primary vector of West Nile virus in the United States.
Photo by Ary Farajollahi, Bugwood.org. By Alan Bolds A study by researchers at the University of Illinois Urbana-Champaign (UIUC) found that mosquito infection rates (MIR) for West Nile virus can be estimated with statistical models based on rainfall and temperature. The study, “Predicting West Nile Virus Infection Risk From the Synergistic Effects of Rainfall and Temperature,” was published in the Journal of Medical Entomology. Alan Bolds The study is based on research conducted in DuPage County, Illinois, which has a population of 932,000. In 2013, DuPage County commissioned a task force to recommend an integrated mosquito management approach across multiple jurisdictions that provide mosquito control.
The research team, led by Dr. Dr. The success of the DuPage Model encouraged the research team to begin work with Dr. In a report prepared for the partners of the DuPage Model, Dr. Int J Environ Res Public Health. 2013 Nov; 10(11): 5399–5432. Exploring the Spatio-Temporal Dynamics of Reservoir Hosts, Vectors, and Human Hosts of West Nile Virus: A Review of the Recent Literature. YORK UNIVERSITY TORONTO, ONTARIO - JUIN 2014 - Dissertation en ligne : MODELING, DYNAMICS AND OPTIMAL CONTROL OF WEST NILE VIRUSWITH SEASONALITY. PLOS 30/09/14 Modeling Dynamics of Culex pipiens Complex Populations and Assessing Abatement Strategies for West Nile Virus. Parasites & Vectors 2014, 7:289 Modeling the distribution of the West Nile and Rift Valley Fever vector Culex pipiens in arid and semi-arid regions of the Middle East and North Africa.
Int. J. Environ. Res. Public Health 2014, 11, 67-90; Predictive Modeling of West Nile Virus Transmission Risk in the Mediterranean Basin: How Far from Landing? ECOHEALTH - 2013 - Ecological Niche Modelling of Potential West Nile Virus Vector Mosquito Species and Their Geographical Association with Equine Epizootics in Italy. CAA_IT - 2013 – Poster : Preliminary spatial modelling of West Nile Virus circulation in Pianura Padana, Northern Italie, 2013.
THE ROYAL SOCIETY 17/08/11 Vector host-feeding preferences drive transmission of multi-host pathogens: West Nile virus as a mode. + Author Affiliations ↵*Author for correspondence (firstname.lastname@example.org).
Abstract Seasonal epizootics of vector-borne pathogens infecting multiple species are ecologically complex and difficult to forecast. Pathogen transmission potential within the host community is determined by the relative abilities of host species to maintain and transmit the pathogen and by ecological factors influencing contact rates between hosts and vectors. Increasing evidence of strong feeding preferences by a number of vectors suggests that the host community experienced by the pathogen may be very different from the local host community. 1. Zoonotic pathogens cause significant mortality, morbidity and economic loss to human, livestock and wildlife hosts throughout the world, constituting an estimated 75 per cent of emerging infectious diseases [1–3].
Figure 1. Flow diagram for the WNV model. 2. (a) Field surveys 3. (a) Blood meal analysis (b) Feeding index (c) Mosquito infection (d) Model Table 1. Model parameters. THESE EN LIGNE - 2006 - De l'identification des vecteurs du virus West Nile à la modélisation du risque d'infection dans le sud. UNIVERSITE PARIS-SUD 14/09/12 Thèse en ligne ; Construction d’un clone infectieux d’une souche méditerranéenne du Virus West Nil. Int J Environ Res Public Health. 2013 Jul 22;10(7):3033-51. Modeling Monthly Variation of Culex tarsalis (Diptera: Culicidae) Ab.
Open AccessThis article isfreely availablere-usable Article 1 Large Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, 52 Campus Drive, Saskatoon, SK S7N 5B4, Canada 2 Department of Veterinary Microbiology, Western College of Veterinary Medicine, University of Saskatchewan, 52 Campus Drive, Saskatoon, SK S7N 5B4, Canada 3 Saskatchewan Ministry of Health, 3475 Albert Street, Regina, SK S4S 6X6, Canada 4 Environment Canada, Science & Technology Branch, 115 Perimeter Road, Saskatoon, SK S7N 0X4, Canada * Author to whom correspondence should be addressed.
Received: 7 June 2013; in revised form: 15 July 2013 / Accepted: 16 July 2013 / Published: 22 July 2013.