2 datasets found
  1. f

    S1 File -

    • plos.figshare.com
    txt
    Updated Jun 21, 2023
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    Andrew Mueller; Anthony Thomas; Jeffrey Brown; Abram Young; Kim Smith; Roxanne Connelly; Stephanie L. Richards (2023). S1 File - [Dataset]. http://doi.org/10.1371/journal.pone.0278253.s001
    Explore at:
    txtAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Andrew Mueller; Anthony Thomas; Jeffrey Brown; Abram Young; Kim Smith; Roxanne Connelly; Stephanie L. Richards
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Geographic information systems (GIS) can be used to map mosquito larval and adult habitats and human populations at risk for mosquito exposure and possible arbovirus transmission. Along with traditional methods of surveillance-based targeted mosquito control, GIS can help simplify and target efforts during routine surveillance and post-disaster (e.g., hurricane-related flooding) to protect emergency workers and public health. A practical method for prioritizing areas for emergency mosquito control has been developed and is described here. North Carolina (NC) One Map was used to identify state-level data layers of interest based on human population distribution and mosquito habitat in Brunswick, Columbus, Onslow, and Robeson Counties in eastern NC. Relevant data layers were included to create mosquito control treatment areas for targeted control and an 18-step protocol for map development is discussed. This protocol is expected to help state, territorial, tribal, and/or local public health officials and associated mosquito control programs efficiently create treatment area maps to improve strategic planning in advance of a disaster. This protocol may be applied to any NC county and beyond, thereby increasing local disaster preparedness.

  2. f

    S2 File -

    • plos.figshare.com
    zip
    Updated Jun 21, 2023
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    Andrew Mueller; Anthony Thomas; Jeffrey Brown; Abram Young; Kim Smith; Roxanne Connelly; Stephanie L. Richards (2023). S2 File - [Dataset]. http://doi.org/10.1371/journal.pone.0278253.s002
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Andrew Mueller; Anthony Thomas; Jeffrey Brown; Abram Young; Kim Smith; Roxanne Connelly; Stephanie L. Richards
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Geographic information systems (GIS) can be used to map mosquito larval and adult habitats and human populations at risk for mosquito exposure and possible arbovirus transmission. Along with traditional methods of surveillance-based targeted mosquito control, GIS can help simplify and target efforts during routine surveillance and post-disaster (e.g., hurricane-related flooding) to protect emergency workers and public health. A practical method for prioritizing areas for emergency mosquito control has been developed and is described here. North Carolina (NC) One Map was used to identify state-level data layers of interest based on human population distribution and mosquito habitat in Brunswick, Columbus, Onslow, and Robeson Counties in eastern NC. Relevant data layers were included to create mosquito control treatment areas for targeted control and an 18-step protocol for map development is discussed. This protocol is expected to help state, territorial, tribal, and/or local public health officials and associated mosquito control programs efficiently create treatment area maps to improve strategic planning in advance of a disaster. This protocol may be applied to any NC county and beyond, thereby increasing local disaster preparedness.

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Share
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Click to copy link
Link copied
Close
Cite
Andrew Mueller; Anthony Thomas; Jeffrey Brown; Abram Young; Kim Smith; Roxanne Connelly; Stephanie L. Richards (2023). S1 File - [Dataset]. http://doi.org/10.1371/journal.pone.0278253.s001

S1 File -

Related Article
Explore at:
txtAvailable download formats
Dataset updated
Jun 21, 2023
Dataset provided by
PLOS ONE
Authors
Andrew Mueller; Anthony Thomas; Jeffrey Brown; Abram Young; Kim Smith; Roxanne Connelly; Stephanie L. Richards
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Geographic information systems (GIS) can be used to map mosquito larval and adult habitats and human populations at risk for mosquito exposure and possible arbovirus transmission. Along with traditional methods of surveillance-based targeted mosquito control, GIS can help simplify and target efforts during routine surveillance and post-disaster (e.g., hurricane-related flooding) to protect emergency workers and public health. A practical method for prioritizing areas for emergency mosquito control has been developed and is described here. North Carolina (NC) One Map was used to identify state-level data layers of interest based on human population distribution and mosquito habitat in Brunswick, Columbus, Onslow, and Robeson Counties in eastern NC. Relevant data layers were included to create mosquito control treatment areas for targeted control and an 18-step protocol for map development is discussed. This protocol is expected to help state, territorial, tribal, and/or local public health officials and associated mosquito control programs efficiently create treatment area maps to improve strategic planning in advance of a disaster. This protocol may be applied to any NC county and beyond, thereby increasing local disaster preparedness.

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