Literature DB >> 12727678

Identifying West Nile virus risk areas: the Dynamic Continuous-Area Space-Time system.

Constandinos N Theophilides1, Sean C Ahearn, Sue Grady, Mario Merlino.   

Abstract

The Dynamic Continuous-Area Space-Time (DYCAST) system was developed to identify and prospectively monitor high-risk areas for West Nile virus in New York, New York (New York City). The system is based on a geographic model that uses a localized Knox test to capture the nonrandom space-time interaction of dead birds, as an indicator of an intense West Nile virus amplification cycle, within a 1.5-mile (2.41-km) buffer area and 21-day moving window. The Knox analysis is implemented as an interpolation function to create a surface of probabilities over a grid of 1,400 cells overlaying New York City. The model's parameters were calibrated using year 2000 data and information on the vector-host transmission cycle. The DYCAST system was implemented in a geographic information system and used operationally in year 2001. It successfully identified areas of high risk for human West Nile virus infection in areas where five of seven human cases resided, at least 13 days prior to the onset of illness, and proved that it can be used as an effective tool for targeting remediation and control efforts.

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Year:  2003        PMID: 12727678     DOI: 10.1093/aje/kwg046

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  29 in total

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Journal:  J Med Syst       Date:  2004-08       Impact factor: 4.460

2.  Sentinel chicken seroconversions track tangential transmission of West Nile virus to humans in the greater Los Angeles area of California.

Authors:  Jennifer L Kwan; Susanne Kluh; Minoo B Madon; Danh V Nguyen; Christopher M Barker; William K Reisen
Journal:  Am J Trop Med Hyg       Date:  2010-11       Impact factor: 2.345

3.  Relating West Nile virus case fatality rates to demographic and surveillance variables.

Authors:  Julie Tackett; Richard Charnigo; Glyn Caldwell
Journal:  Public Health Rep       Date:  2006 Nov-Dec       Impact factor: 2.792

Review 4.  A review of spatial methods in epidemiology, 2000-2010.

Authors:  Amy H Auchincloss; Samson Y Gebreab; Christina Mair; Ana V Diez Roux
Journal:  Annu Rev Public Health       Date:  2012-04       Impact factor: 21.981

5.  Spatial risk assessments based on vector-borne disease epidemiologic data: importance of scale for West Nile virus disease in Colorado.

Authors:  Anna M Winters; Rebecca J Eisen; Mark J Delorey; Marc Fischer; Roger S Nasci; Emily Zielinski-Gutierrez; Chester G Moore; W John Pape; Lars Eisen
Journal:  Am J Trop Med Hyg       Date:  2010-05       Impact factor: 2.345

6.  Delineating West Nile Virus Transmission Cycles at Various Scales: The Nearest Neighbor Distance-Time Model.

Authors:  Debarchana Ghosh; Steven M Manson; Robert B McMaster
Journal:  Cartogr Geogr Inf Sci       Date:  2010-04-01

Review 7.  West Nile virus state of the art report of MALWEST Project.

Authors:  Andriani Marka; Alexandros Diamantidis; Anna Papa; George Valiakos; Serafeim C Chaintoutis; Dimitrios Doukas; Persefoni Tserkezou; Alexios Giannakopoulos; Konstantinos Papaspyropoulos; Eleni Patsoula; Evangelos Badieritakis; Agoritsa Baka; Maria Tseroni; Danai Pervanidou; Nikos T Papadopoulos; George Koliopoulos; Dimitrios Tontis; Chrysostomos I Dovas; Charalambos Billinis; Athanassios Tsakris; Jenny Kremastinou; Christos Hadjichristodoulou; Nikolaos Vakalis; Evdokia Vassalou; Spyridoula Zarzani; Athanassios Zounos; Katerina Komata; Georgios Balatsos; Stavroula Beleri; Anastasia Mpimpa; Vasilios Papavasilopoulos; Ioannis Rodis; Grigorios Spanakos; Nikolaos Tegos; Vasiliki Spyrou; Zisis Dalabiras; Periklis Birtsas; Labrini Athanasiou; Maria Papanastassopoulou; Charalambos Ioannou; Christos Athanasiou; Christos Gerofotis; Elpida Papadopoulou; Theodolinta Testa; Ourania Tsakalidou; George Rachiotis; Nikolaos Bitsolas; Zissis Mamouris; Katerina Moutou; Theologia Sarafidou; Konstantinos Stamatis; Konstantina Sarri; Sotirios Tsiodras; Theano Georgakopoulou; Marios Detsis; Maria Mavrouli; Anastasia Stavropoulou; Lida Politi; Georgia Mageira; Varvara Christopoulou; Georgia Diamantopoulou; Nikolaos Spanakis; Georgia Vrioni; Evangelia-Theofano Piperaki; Kornilia Mitsopoulou; Ilias Kioulos; Antonios Michaelakis; Ioannis Stathis; Ioannis Tselentis; Anna Psaroulaki; Maria Keramarou; Dimosthenis Chochlakis; Yeorgios Photis; Maria Konstantinou; Panagiotis Manetos; Stylianos Tsobanoglou; Spyros Mourelatos; Vasilis Antalis; Panagiotis Pergantas; Georgios Eleftheriou
Journal:  Int J Environ Res Public Health       Date:  2013-12-02       Impact factor: 3.390

8.  Predicting human West Nile virus infections with mosquito surveillance data.

Authors:  A Marm Kilpatrick; W John Pape
Journal:  Am J Epidemiol       Date:  2013-07-03       Impact factor: 4.897

9.  An epidemiological model for West Nile virus: invasion analysis and control applications.

Authors:  Marjorie J Wonham; Tomás de-Camino-Beck; Mark A Lewis
Journal:  Proc Biol Sci       Date:  2004-03-07       Impact factor: 5.349

10.  Risk factors associated with human infection during the 2006 West Nile virus outbreak in Davis, a residential community in northern California.

Authors:  Carrie F Nielsen; M Veronica Armijos; Sarah Wheeler; Tim E Carpenter; Walter M Boyce; Kara Kelley; David Brown; Thomas W Scott; William K Reisen
Journal:  Am J Trop Med Hyg       Date:  2008-01       Impact factor: 2.345

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