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Table 2 Papers in our Canary search using Analytic Linkage for human and animal health data

From: Linkages between animal and human health sentinel data

First Author

Zoonotic Disease

Animals Studied

Description of Linkage

Ferguson [32]

BSE

Livestock

Statistical modeling of human risk from transmission of infected sheep based on the number of animals slaughtered for food production

Keeling [35]

Plague

Wildlife

Stochastic metapopulation modelling using rodent population estimates to predict disease outbreaks in rats and subsequent severity of human infection

Niklasson [43]

Many

Wildlife

Cross-correlation function to determine dependence between abundance of bank voles and various diseases (and vice-versa) from hospitalization and cause of death registry.

Niklasson [42]

Puumala

Wildlife

Cross-correlation function to determine dependence between rodent density and human cases.

Eidson [20]

West Nile Virus

Wildlife

Number of dead crows sightings per square mile plotted against number of human cases

Dubey [30]

Toxoplasma Gondi

Companion, Livestock, and Wildlife

Logistic regression of cross-sectional data to examine risk of human infection for farm handlers with factors such as seroprevalence of cats, age of workers, and years of work

Gurtler [33]

Chagas Disease

Companion and Wildlife

Expected relative risk of infected bugs based on the combined effect of the presence of infected dogs and infected humans.

Rab [44]

Leishmaniasis

Companion

Association of human and canine disease risk shown through contingency table of households with and without infected dogs versus infected humans in a random sample

Zeman [49]

Lyme Disease

Wildlife

Correlation between population densities of game animals on GIS raster maps with human risk maps using a covariance/correlation matrix

Watson [2]

West Nile Virus

Wildlife

Relationship of Geocoded human cases and estimated dead crow densities used to calculate Mantel-Haenszel incidence ratio with Greenland- Robins 95%CI.

Mostashari [41]

West Nile Virus

Wildlife

Spatial-temporal cluster analysis of dead bird findings for early warning of known mosquitoes and human infection to produce risk maps.

Mitra [40]

Sarcoptes scabiei

Companion and Livestock

Association between infected male and female adults and children with infected sheep, goats, cattle and dogs, by using a contingency table

Marrie [39]

Q Fever

Companion

Risk factor for disease between cases and controls including exposure to stillborn kittens. Exposure to parturient cats, and slaughtering of animals assessed through chi-square, Fisher's, and Logistic regression

Wall [47]

Salmonellosis

Livestock

Logistic regression to analyze risk factors with infection including cross-sectional data such as contact with sick farm animals

Xu [48]

Hemorrhagic Fever

Wildlife

Risk of cat ownership and presence of rodent activity for infected versus non-infected calculated using Mantel-Haenszel

Brownstein JS [29]

West Nile Virus

Wildlife

Spatial cluster analysis of human cases and logistic regression according to normalized difference vegetation index (NDVI) were used to create disease risk maps which was validated using locations of virus-positive mosquitoes

Theophilides [46]

West Nile Virus

Wildlife

Risk model developed by Knox test using space and time data from dead bird reports and calibrated using human case reports

Shaman [45]

St. Louis Encephalitis

Livestock

Logistic regression model to predict epidemic using water table depth, as well as avian host virus susceptibility and mobility

Brownstein [15]

West Nile Virus

Wildlife

Regression Model including virus-positive mosquitoes and birds to predict human cases.

Andreadis TG [13]

West Nile Virus

Wildlife

Linear regression models to determine association between mosquito infection rates and number of human cases, and between the human population density and mosquito abundance.

Julian [34]

West Nile Virus

Wildlife

Association of early season crow activity including reported dead crows and infected crows with human infection, assessed through relative risk calculation for univariate analysis and logistic regression for multivariate analysis

Guptill [21]

West Nile Virus

Wildlife

Relative risk to determine association between counties reporting early season crow deaths and subsequent reporting of human infection

Zinsstag [50]

Brucellosis

Livestock

Deterministic model to estimate disease transmission from livestock to humans using demographic and seroprevalence data from cattle and sheep and human case data.

Mannelli [38]

Mediterranean spotted fever

Companion

Association between disease infection in canines and risk of disease in humans by performing second order neighborhood analysis on distance of dog residences from known human cases

Mannelli [37]

Lyme Disease

Companion

Risk for human exposure of disease vectors was calculated by relative risk using questionnaire data including past exposure to ticks and occupation

Li [36]

Many

Livestock

Probability model to estimate risk of human infection from exposure to vectors using estimates including number of vector bites per host per season and vector infection rate

Ezenwa [31]

West Nile Virus

Wildlife

Association between bird density and virus infection rates in mosquitoes and humans by simple linear regression and multivariate regression

Corrigan [18]

West Nile Virus

Livestock

Spatial scan statistic using Poisson distribution to predict clusters of infected horses and humans by combining cases in humans, horses, population data, location of the horses and location of the patient

Ascione [28]

None (Domestic Violence)

Companion

Stepwise Logistic regression to examine risk factors associated with physical abuse and threats of abuse to family pets including interview variables with abused and non-abused women such as physical spousal abuse, verbal abuse, and women's education level