View in EDS HTML Full Text PDF Full Text

The utility of a Bayesian predictive model to forecast neuroinvasive West Nile virus disease in the United States of America, 2022.

Saved in:
Bibliographic Details
Title: The utility of a Bayesian predictive model to forecast neuroinvasive West Nile virus disease in the United States of America, 2022.
Authors: McCarter, Maggie S. J.1 (AUTHOR), Self, Stella1 (AUTHOR), Dye-Braumuller, Kyndall C.1 (AUTHOR), Lee, Christopher2 (AUTHOR), Li, Huixuan1 (AUTHOR), Nolan, Melissa S.1 (AUTHOR) msnolan@mailbox.sc.edu
Source: PLoS ONE. 9/8/2023, Vol. 18 Issue 9, p1-16. 16p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 171853820
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: The utility of a Bayesian predictive model to forecast neuroinvasive West Nile virus disease in the United States of America, 2022.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22McCarter%2C+Maggie+S%2E+J%2E%22">McCarter, Maggie S. J.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Self%2C+Stella%22">Self, Stella</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dye-Braumuller%2C+Kyndall+C%2E%22">Dye-Braumuller, Kyndall C.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lee%2C+Christopher%22">Lee, Christopher</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Huixuan%22">Li, Huixuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nolan%2C+Melissa+S%2E%22">Nolan, Melissa S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> msnolan@mailbox.sc.edu</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 9/8/2023, Vol. 18 Issue 9, p1-16. 16p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=171853820
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1371/journal.pone.0290873
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 1
    Titles:
      – TitleFull: The utility of a Bayesian predictive model to forecast neuroinvasive West Nile virus disease in the United States of America, 2022.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: McCarter, Maggie S. J.
      – PersonEntity:
          Name:
            NameFull: Self, Stella
      – PersonEntity:
          Name:
            NameFull: Dye-Braumuller, Kyndall C.
      – PersonEntity:
          Name:
            NameFull: Lee, Christopher
      – PersonEntity:
          Name:
            NameFull: Li, Huixuan
      – PersonEntity:
          Name:
            NameFull: Nolan, Melissa S.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 08
              M: 09
              Text: 9/8/2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 19326203
          Numbering:
            – Type: volume
              Value: 18
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: PLoS ONE
              Type: main
ResultId 1