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Comparative meta-analysis of feline leukemia virus and feline immunodeficiency virus seroprevalence correlated with GDP per capita around the globe.

Kristen Ludwick | Jeffrey W Clymer
Research in veterinary science | 2019

Feline Leukemia Virus (FeLV) and Feline Immunodeficiency Virus (FIV) are two prevalent transmittable diseases for domestic cats. This paper reports the frequency of these two diseases compared globally across Gross Domestic Product (GDP) at purchasing power parity per capita (PPP). Information around FeLV and FIV rates of infection in specific locations around the world was analyzed from 47 published articles. Results show that based on the data available, the statistical model indicates that the highest percentage of FeLV or FIV infected cats live in areas of lower PPP (p ≤.001) with a decreasing rate of infection of FeLV and FIV with increasing income. Two theories for this could be that the lower PPP locations in this study were also in areas of greater feral cat and cat colony populations, as well as were areas with less emphasis on animal welfare and animal control programs. Additional research should be conducted to strengthen the study size in South America and Africa before further conclusions can be drawn.

Pubmed ID: 31176263

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Minitab (tool)

RRID:SCR_014483

A statistical software package that allows the user to import data, create graphs, and perform statistical analysis. It can perform basic statistical tests like descriptive statistics, hypothesis tests, confidence intervals, and normality tests as well as regression and ANOVA and quality assessment.

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