Delineating west nile virus transmission cycles at various scales

The nearest neighbor distance-time model

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Various approaches are used to identify West Nile virus (WNV) exposure areas, including unusual sightings of infected dead birds, mosquito pools or human cases both prospectively and retrospectively. A significant and largely unmet need in WNV research is to incorporate the temporal characterization of virus spread and locational information of the three components of transmission cycle-i.e., birds (reservoir), mosquitoes (vector), and humans (host)-on a localized scale. Exposure areas containing all three components of the WNV cycle in close proximity have higher potential to amplify an outbreak as compared to exposure areas delineated by a single component. In this paper, we introduce a novel approach, termed 'Nearest Neighbor Distance Time' or NNDT, to identify and retrospectively monitor WNV transmission cycles on various scales in the Twin Cities Metropolitan area of Minnesota. The NNDT model was implemented in a geographic information system using data from the period 2002 to 2006. The results indicated that 2002 and 2003 had three such WNV cycles, followed by one, two, and four respectively in 2004, 2005, and 2006. The NNDT method can be useful in locating chronically exposed areas and generating hypotheses about the transmission of WNV.

Original languageEnglish (US)
Pages (from-to)149-163
Number of pages15
JournalCartography and Geographic Information Science
Volume37
Issue number2
DOIs
StatePublished - Apr 2010

Fingerprint

West Nile virus
Viruses
mosquito
Birds
bird
agglomeration area
information system
metropolitan area
time
Nearest neighbor
Virus
virus
Geographic information systems
exposure

Keywords

  • Exposure areas
  • Space-time model
  • Spider diagram
  • West Nile virus

Cite this

@article{a91d7487281541a2932ce0311c070b79,
title = "Delineating west nile virus transmission cycles at various scales: The nearest neighbor distance-time model",
abstract = "Various approaches are used to identify West Nile virus (WNV) exposure areas, including unusual sightings of infected dead birds, mosquito pools or human cases both prospectively and retrospectively. A significant and largely unmet need in WNV research is to incorporate the temporal characterization of virus spread and locational information of the three components of transmission cycle-i.e., birds (reservoir), mosquitoes (vector), and humans (host)-on a localized scale. Exposure areas containing all three components of the WNV cycle in close proximity have higher potential to amplify an outbreak as compared to exposure areas delineated by a single component. In this paper, we introduce a novel approach, termed 'Nearest Neighbor Distance Time' or NNDT, to identify and retrospectively monitor WNV transmission cycles on various scales in the Twin Cities Metropolitan area of Minnesota. The NNDT model was implemented in a geographic information system using data from the period 2002 to 2006. The results indicated that 2002 and 2003 had three such WNV cycles, followed by one, two, and four respectively in 2004, 2005, and 2006. The NNDT method can be useful in locating chronically exposed areas and generating hypotheses about the transmission of WNV.",
keywords = "Exposure areas, Space-time model, Spider diagram, West Nile virus",
author = "Debarchana Ghosh and Manson, {Steven M.} and McMaster, {Robert B.}",
year = "2010",
month = "4",
doi = "10.1559/152304010791232208",
language = "English (US)",
volume = "37",
pages = "149--163",
journal = "Cartography and Geographic Information Science",
issn = "1523-0406",
publisher = "American Congress on Surveying and Mapping",
number = "2",

}

TY - JOUR

T1 - Delineating west nile virus transmission cycles at various scales

T2 - The nearest neighbor distance-time model

AU - Ghosh, Debarchana

AU - Manson, Steven M.

AU - McMaster, Robert B.

PY - 2010/4

Y1 - 2010/4

N2 - Various approaches are used to identify West Nile virus (WNV) exposure areas, including unusual sightings of infected dead birds, mosquito pools or human cases both prospectively and retrospectively. A significant and largely unmet need in WNV research is to incorporate the temporal characterization of virus spread and locational information of the three components of transmission cycle-i.e., birds (reservoir), mosquitoes (vector), and humans (host)-on a localized scale. Exposure areas containing all three components of the WNV cycle in close proximity have higher potential to amplify an outbreak as compared to exposure areas delineated by a single component. In this paper, we introduce a novel approach, termed 'Nearest Neighbor Distance Time' or NNDT, to identify and retrospectively monitor WNV transmission cycles on various scales in the Twin Cities Metropolitan area of Minnesota. The NNDT model was implemented in a geographic information system using data from the period 2002 to 2006. The results indicated that 2002 and 2003 had three such WNV cycles, followed by one, two, and four respectively in 2004, 2005, and 2006. The NNDT method can be useful in locating chronically exposed areas and generating hypotheses about the transmission of WNV.

AB - Various approaches are used to identify West Nile virus (WNV) exposure areas, including unusual sightings of infected dead birds, mosquito pools or human cases both prospectively and retrospectively. A significant and largely unmet need in WNV research is to incorporate the temporal characterization of virus spread and locational information of the three components of transmission cycle-i.e., birds (reservoir), mosquitoes (vector), and humans (host)-on a localized scale. Exposure areas containing all three components of the WNV cycle in close proximity have higher potential to amplify an outbreak as compared to exposure areas delineated by a single component. In this paper, we introduce a novel approach, termed 'Nearest Neighbor Distance Time' or NNDT, to identify and retrospectively monitor WNV transmission cycles on various scales in the Twin Cities Metropolitan area of Minnesota. The NNDT model was implemented in a geographic information system using data from the period 2002 to 2006. The results indicated that 2002 and 2003 had three such WNV cycles, followed by one, two, and four respectively in 2004, 2005, and 2006. The NNDT method can be useful in locating chronically exposed areas and generating hypotheses about the transmission of WNV.

KW - Exposure areas

KW - Space-time model

KW - Spider diagram

KW - West Nile virus

UR - http://www.scopus.com/inward/record.url?scp=77954303351&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77954303351&partnerID=8YFLogxK

U2 - 10.1559/152304010791232208

DO - 10.1559/152304010791232208

M3 - Article

VL - 37

SP - 149

EP - 163

JO - Cartography and Geographic Information Science

JF - Cartography and Geographic Information Science

SN - 1523-0406

IS - 2

ER -