Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Stella C. Watson"'
Autor:
Stella C Watson, Yan Liu, Robert B Lund, Jenna R Gettings, Shila K Nordone, Christopher S McMahan, Michael J Yabsley
Publikováno v:
PLoS ONE, Vol 12, Iss 5, p e0174428 (2017)
This paper models the prevalence of antibodies to Borrelia burgdorferi in domestic dogs in the United States using climate, geographic, and societal factors. We then use this model to forecast the prevalence of antibodies to B. burgdorferi in dogs fo
Externí odkaz:
https://doaj.org/article/be2ecaf7477c456b9a08f764c58c41c1
Autor:
Yan Liu, Stella C Watson, Jenna R Gettings, Robert B Lund, Shila K Nordone, Michael J Yabsley, Christopher S McMahan
Publikováno v:
PLoS ONE, Vol 12, Iss 7, p e0182028 (2017)
This paper forecasts the 2016 canine Anaplasma spp. seroprevalence in the United States from eight climate, geographic and societal factors. The forecast's construction and an assessment of its performance are described. The forecast is based on a sp
Externí odkaz:
https://doaj.org/article/9db6706ed5e941b58283af481c1633ac
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Michael J. Yabsley, Yan Liu, Jenna R. Gettings, Shila K. Nordone, Robert Lund, Stella C. Watson, Christopher S. McMahan
Publikováno v:
PLoS ONE, Vol 12, Iss 7, p e0182028 (2017)
PLoS ONE
PLoS ONE
This paper forecasts the 2016 canine Anaplasma spp. seroprevalence in the United States from eight climate, geographic and societal factors. The forecast’s construction and an assessment of its performance are described. The forecast is based on a
Autor:
Robert Lund, Michael J. Yabsley, Shila K. Nordone, Jenna R. Gettings, Stella C. Watson, Christopher S. McMahan, Yan Liu
Publikováno v:
PLoS ONE
PLoS ONE, Vol 12, Iss 5, p e0174428 (2017)
PLoS ONE, Vol 12, Iss 5, p e0174428 (2017)
This paper models the prevalence of antibodies to Borrelia burgdorferi in domestic dogs in the United States using climate, geographic, and societal factors. We then use this model to forecast the prevalence of antibodies to B. burgdorferi in dogs fo