Title |
Comparison of the geographical distribution of feline immunodeficiency virus and feline leukemia virus infections in the United States of America (2000–2011)
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Published in |
BMC Veterinary Research, January 2013
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DOI | 10.1186/1746-6148-9-2 |
Pubmed ID | |
Authors |
Bimal K Chhetri, Olaf Berke, David L Pearl, Dorothee Bienzle |
Abstract |
Although feline immunodeficiency virus (FIV) and feline leukemia virus (FeLV) have similar risk factors and control measures, infection rates have been speculated to vary in geographic distribution over North America. Since both infections are endemic in North America, it was assumed as a working hypothesis that their geographic distributions were similar. Hence, the purpose of this exploratory analysis was to investigate the comparative geographical distribution of both viral infections. Counts of FIV (n=17,108) and FeLV (n=30,017) positive serology results (FIV antibody and FeLV ELISA) were obtained for 48 contiguous states and District of Columbia of the United States of America (US) from the IDEXX Laboratories website. The proportional morbidity ratio of FIV to FeLV infection was estimated for each administrative region and its geographic distribution pattern was visualized by a choropleth map. Statistical evidence of an excess in the proportional morbidity ratio from unity was assessed using the spatial scan test under the normal probability model. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 40% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 3 | 60% |
Members of the public | 2 | 40% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Austria | 1 | 1% |
Unknown | 68 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 13% |
Researcher | 8 | 11% |
Student > Bachelor | 8 | 11% |
Student > Doctoral Student | 7 | 10% |
Other | 7 | 10% |
Other | 19 | 27% |
Unknown | 12 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Veterinary Science and Veterinary Medicine | 28 | 40% |
Medicine and Dentistry | 12 | 17% |
Agricultural and Biological Sciences | 10 | 14% |
Engineering | 2 | 3% |
Immunology and Microbiology | 1 | 1% |
Other | 3 | 4% |
Unknown | 14 | 20% |