A research feasibility assessment of regulatory information systems capacities for investigation of epidemiologic factors in Pseudorabies

Lawrence E. Miller From the Departments of Microbiology, Pathology, and Parasitology (Miller, Cowen), College of Veterinary Medicine, and Departments of Computer Science (Honeycutt) and Animal Science (Morrow), North Carolina State University, Raleigh, NC 27606, and Centers for Epidemiology and Animal Health, USDA-APHIS-VS, 555 S Howes St, Fort Collins, CO 80521 (Hueston).

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Peter Cowen From the Departments of Microbiology, Pathology, and Parasitology (Miller, Cowen), College of Veterinary Medicine, and Departments of Computer Science (Honeycutt) and Animal Science (Morrow), North Carolina State University, Raleigh, NC 27606, and Centers for Epidemiology and Animal Health, USDA-APHIS-VS, 555 S Howes St, Fort Collins, CO 80521 (Hueston).

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Thomas L. Honeycutt From the Departments of Microbiology, Pathology, and Parasitology (Miller, Cowen), College of Veterinary Medicine, and Departments of Computer Science (Honeycutt) and Animal Science (Morrow), North Carolina State University, Raleigh, NC 27606, and Centers for Epidemiology and Animal Health, USDA-APHIS-VS, 555 S Howes St, Fort Collins, CO 80521 (Hueston).

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W. E. Morgan Morrow From the Departments of Microbiology, Pathology, and Parasitology (Miller, Cowen), College of Veterinary Medicine, and Departments of Computer Science (Honeycutt) and Animal Science (Morrow), North Carolina State University, Raleigh, NC 27606, and Centers for Epidemiology and Animal Health, USDA-APHIS-VS, 555 S Howes St, Fort Collins, CO 80521 (Hueston).

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William D. Hueston From the Departments of Microbiology, Pathology, and Parasitology (Miller, Cowen), College of Veterinary Medicine, and Departments of Computer Science (Honeycutt) and Animal Science (Morrow), North Carolina State University, Raleigh, NC 27606, and Centers for Epidemiology and Animal Health, USDA-APHIS-VS, 555 S Howes St, Fort Collins, CO 80521 (Hueston).

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Summary

Pseudorabies (pr) outbreak-investigation forms from 10 states having the most pr-infected herds were evaluated for agreement in question response-data type, information intent, and outbreak information categories. A question randomly selected from an investigation form had 0.6304 probability of being unique to a single state, and 0.0062 probability of being common to all states. Analysis of outbreak forms, on the basis of information intent, revealed that the probability of a randomly selected question being derived from an information category unique to a single state was 0.0323, whereas the probability of a question being derived from an information category shared by all states was 0.1935. A telephone survey revealed that state pr control officials did not believe additional research on between-herd spread of pr was necessary to successfully complete the eradication program. However, officials believed a better understanding of pr risk factors would enhance program effectiveness and build producer confidence.

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