Literature DB >> 24978652

Spatially heterogeneous land cover/land use and climatic risk factors of tick-borne feline cytauxzoonosis.

Ram K Raghavan1, Kelli Almes, Doug G Goodin, John A Harrington, Paul W Stackhouse.   

Abstract

BACKGROUND: Feline cytauxzoonosis is a highly fatal tick-borne disease caused by a hemoparasitic protozoan, Cytauxzoon felis. This disease is a leading cause of mortality for cats in the Midwestern United States, and no vaccine or effective treatment options exist. Prevention based on knowledge of risk factors is therefore vital. Associations of different environmental factors, including recent climate were evaluated as potential risk factors for cytauxzoonosis using Geographic Information Systems (GIS).
METHODS: There were 69 cases determined to be positive for cytauxzoonosis based upon positive identification of C. felis within blood film examinations, tissue impression smears, or histopathologic examination of tissues. Negative controls totaling 123 were selected from feline cases that had a history of fever, malaise, icterus, and anorexia but lack of C. felis within blood films, impression smears, or histopathologic examination of tissues. Additional criteria to rule out C. felis among controls were the presence of regenerative anemia, cytologic examination of blood marrow or lymph node aspirate, other causative agent diagnosed, or survival of 25 days or greater after testing. Potential environmental determinants were derived from publicly available sources, viz., US Department of Agriculture (soil attributes), US Geological Survey (land-cover/landscape, landscape metrics), and NASA (climate). Candidate variables were screened using univariate logistic models with a liberal p value (0.2), and associations with cytauxzoonosis were modeled using a global multivariate logistic model (p<0.05). Spatial heterogeneity among significant variables in the study region was modeled using a geographically weighted regression (GWR) approach.
RESULTS: Total Edge Contrast Index (TECI), grassland-coverage, humidity conditions recorded during the 9(th) week prior to case arrival, and an interaction variable, "diurnal temperature range × percent mixed forest area" were significant risk factors for cytauxzoonosis in the study region. TECI and grassland areas exhibited significant regional differences in their effects on cytauxzoonosis outcome, whereas others were uniform.
CONCLUSIONS: Land-cover areas favorable for tick habitats and climatic conditions that favor the tick life cycle are strong risk factors for feline cytauxzoonosis. Spatial heterogeneity and interaction effects between land-cover and climatic variables may reveal new information when evaluating risk factors for vector-borne diseases.

Entities:  

Keywords:  Climate; Cytauxzoonosis; Diurnal Temperature Range (DTR); Feline; Geographical Information Systems (GIS); Geographically Weighted Regression (GWR); Humidity; Multivariate logistic; NASA

Mesh:

Year:  2014        PMID: 24978652     DOI: 10.1089/vbz.2013.1496

Source DB:  PubMed          Journal:  Vector Borne Zoonotic Dis        ISSN: 1530-3667            Impact factor:   2.133


  10 in total

Review 1.  Two Tales of Cytauxzoon felis Infections in Domestic Cats.

Authors:  Jin-Lei Wang; Ting-Ting Li; Guo-Hua Liu; Xing-Quan Zhu; Chaoqun Yao
Journal:  Clin Microbiol Rev       Date:  2017-10       Impact factor: 26.132

2.  Heterogeneous Associations of Ecological Attributes with Tick-Borne Rickettsial Pathogens in a Periurban Landscape.

Authors:  Ram K Raghavan; Douglas G Goodin; Michael W Dryden; Ali Hroobi; David M Gordon; Chuanmin Cheng; Arathy D Nair; Laxmi U M R Jakkula; Gregg A Hanzlicek; Gary A Anderson; Roman R Ganta
Journal:  Vector Borne Zoonotic Dis       Date:  2016-07-25       Impact factor: 2.133

3.  Maximum Entropy-Based Ecological Niche Model and Bio-Climatic Determinants of Lone Star Tick (Amblyomma americanum) Niche.

Authors:  Ram K Raghavan; Douglas G Goodin; Gregg A Hanzlicek; Gregory Zolnerowich; Michael W Dryden; Gary A Anderson; Roman R Ganta
Journal:  Vector Borne Zoonotic Dis       Date:  2016-01-29       Impact factor: 2.133

4.  Impact of prior and projected climate change on US Lyme disease incidence.

Authors:  Lisa I Couper; Andrew J MacDonald; Erin A Mordecai
Journal:  Glob Chang Biol       Date:  2020-11-22       Impact factor: 10.863

5.  Prevalence of Cytauxzoon felis infection in healthy free-roaming cats in north-central Oklahoma and central Iowa.

Authors:  Yoko Nagamori; Jennifer E Slovak; Mason V Reichard
Journal:  JFMS Open Rep       Date:  2016-06-14

6.  Identification of Cytauxzoon felis antigens via protein microarray and assessment of expression library immunization against cytauxzoonosis.

Authors:  Megan E Schreeg; Henry S Marr; Jaime L Tarigo; Meredith K Sherrill; Hilton K Outi; Elizabeth H Scholl; David M Bird; Adam Vigil; Chris Hung; Rie Nakajima; Li Liang; Angela Trieu; Denise L Doolan; Jennifer E Thomas; Michael G Levy; Mason V Reichard; Philip L Felgner; Leah A Cohn; Adam J Birkenheuer
Journal:  Clin Proteomics       Date:  2018-12-29       Impact factor: 3.988

7.  Unexpected winter questing activity of ticks in the Central Midwestern United States.

Authors:  Ram K Raghavan; Zoe L Koestel; Gunavanthi Boorgula; Ali Hroobi; Roman Ganta; John Harrington; Doug Goodin; Roger W Stich; Gary Anderson
Journal:  PLoS One       Date:  2021-11-11       Impact factor: 3.240

8.  Bayesian spatio-temporal analysis and geospatial risk factors of human monocytic ehrlichiosis.

Authors:  Ram K Raghavan; Daniel Neises; Douglas G Goodin; Daniel A Andresen; Roman R Ganta
Journal:  PLoS One       Date:  2014-07-03       Impact factor: 3.240

9.  Bayesian Space-Time Patterns and Climatic Determinants of Bovine Anaplasmosis.

Authors:  Gregg A Hanzlicek; Ram K Raghavan; Roman R Ganta; Gary A Anderson
Journal:  PLoS One       Date:  2016-03-22       Impact factor: 3.240

10.  Current and Future Distribution of the Lone Star Tick, Amblyomma americanum (L.) (Acari: Ixodidae) in North America.

Authors:  Ram K Raghavan; A Townsend Peterson; Marlon E Cobos; Roman Ganta; Des Foley
Journal:  PLoS One       Date:  2019-01-02       Impact factor: 3.240

  10 in total

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