Understanding The Maps

Key Factors That Influence The Map Results

The CAPC Parasite Prevalence Maps are designed to show the proportion of pets tested which test positive for a given infection using available assays. This data is very useful to veterinarians and others trying to better understand the prevalence of parasites in a given practice area, but as with any survey, the results can be influenced by a number of factors, including the number of pets tested, the history of the pets prior to testing, the reason the pets were tested, and the assays used. Understanding each of these factors is critical to accurately interpreting the geographic distribution of these important disease agents.

(1) Sample size

The number of tests conducted is the denominator used and, as such, directly influences the percentage of dogs which will be reported as testing positive. Inadequate sample size is the most common limitation in being able to accurately interpret results from any survey tool. When no pets are tested, we cannot draw any conclusions about the prevalence of disease. However, when too few pets are tested, the small size of the denominator (sample size) will artificially inflate a few positive samples or obscure the importance of positives not yet detected. In other words, small sample size precludes accurate interpretation of any survey. In general, as sample size increases, so does the statistical power, or validity, of the data.

Because of these complications, caution should be employed in interpreting any percentages generated by testing a small number of pets, particularly when the pathogen presence is entirely unexpected. While these unexpected results could be due to recent spread or recognition of a disease agent in a given area, they can also result from a number of other factors, including the background or source of the pets tested or the nature of the tests used (see below) rather than true presence of infection.

(2) History of pet prior to testing

Certain pets are more likely to test positive than others. For example, a pet that was recently rescued or adopted may not have been protected from infection previously and thus is more likely to harbor parasites. In addition, pets that have recently moved into an area may arrive with infections acquired previously. Dogs imported from a high prevalence area for heartworm and tested after arrival may result in a number of “new” heartworm cases appearing in a location where infection historically was relatively rare. Similarly, dogs that have antibodies to the agent of Lyme disease may move with their owners to another region, such as the southern United States, where infection with the agent of Lyme borreliosis is much less common.

Complete historical information is not available for each of the more than one million dogs tested and included on the maps. However, unexpected positive results, particularly when clustered around areas with frequent population turnover such as metropolitan areas, military bases, retirement communities, and college towns, should be interpreted with caution as they may represent infections in translocated pets rather than locally acquired infections.

(3) Motivation for testing

Veterinarians are judicious in recommending diagnostic assays for a given patient and respectful of limited client resources. Accordingly, pets that are more likely to harbor infections, including those exhibiting clinical signs of disease or those with a history of exposure based on lifestyle or previous residence, are more likely to receive a test from a veterinarian. When pets that are more likely to be infected are disproportionately tested, the number of positive results increases as does the calculated percentage of positive test results. This increase in positive results is more likely to be seen in areas where the tests are used more commonly for diagnostic verification of a suspected infection than for routine screening.


(4) Nature of assays used and impact of local or population-based prevalence of infection

Although assays used in testing pets often appear to be similar, individual tests vary in sensitivity and specificity, which can influence overall results. Tests with poor sensitivity may underestimate the prevalence of infection in a given population, while tests with poor specificity can overestimate the presence of infection as false positive results are recorded. In addition, the predictive value of a given assay, or the actual precision in use, is dependent not only on individual test performance but also the prevalence of infection in the population considered.

For a given test, if sensitivity and specificity are held constant, predictive value tracks with prevalence; higher prevalence results in a higher positive predictive value, meaning any given positive result is, on average, more likely to be a true positive so long as infection is fairly common. When infections are rare, the positive predictive value decreases and the negative predictive value

Category: Understanding The Maps