Evidence map›Paper›PMID 37027194›Full record

ArticleJMIR public health and surveillance2023

Defining County-Level Terrestrial Rabies Freedom Using the US National Rabies Surveillance System: Surveillance Data Analysis.

Amber Kunkel, Gabriella Veytsel, Sarah Bonaparte, Haillie Meek, Xiaoyue Ma, Amy J Davis, Jesse Bonwitt, Ryan M Wallace

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Amber KunkelDivision of High-Consequence Pathogens and Pathology, National Center for Emerging & Zoonotic Infectious Diseases, US Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-8376-4713
Gabriella VeytselDivision of High-Consequence Pathogens and Pathology, National Center for Emerging & Zoonotic Infectious Diseases, US Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-0121-9835
Sarah BonaparteDivision of High-Consequence Pathogens and Pathology, National Center for Emerging & Zoonotic Infectious Diseases, US Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-2809-1720
Haillie MeekEpidemiology Elective Program, US Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-6043-3559
Xiaoyue MaDivision of High-Consequence Pathogens and Pathology, National Center for Emerging & Zoonotic Infectious Diseases, US Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0003-1213-8640
Amy J DavisWildlife Services, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, United States.ORCID 0000-0002-4962-9753
Jesse BonwittDivision of High-Consequence Pathogens and Pathology, National Center for Emerging & Zoonotic Infectious Diseases, US Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-0510-2802
Ryan M WallaceDivision of High-Consequence Pathogens and Pathology, National Center for Emerging & Zoonotic Infectious Diseases, US Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-0057-574X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRabies is a deadly zoonotic disease with nearly 100% fatality rate. In the United States, rabies virus persists in wildlife reservoirs, with occasional spillover into humans and domestic animals. The distribution of reservoir hosts in US counties plays an important role in public health decision-making, including the recommendation of lifesaving postexposure prophylaxis upon suspected rabies exposures. Furthermore, in surveillance data, it is difficult to discern whether counties have no cases reported because rabies was not present or because counties have an unreported rabies presence. These epizootics are monitored by the National Rabies Surveillance System (NRSS), to which approximately 130 state public health, agriculture, and academic laboratories report animal rabies testing statistics. Historically, the NRSS classifies US counties as free from terrestrial rabies if, over the previous 5 years, they and any adjacent counties did not report any rabies cases and they tested ≥15 reservoir animals or 30 domestic animals.

objectiveThis study aimed to describe and evaluate the historical NRSS rabies-free county definition, review possibilities for improving this definition, and develop a model to achieve more precise estimates of the probability of terrestrial rabies freedom and the number of reported county-level terrestrial rabies cases.

methodsData submitted to the NRSS by state and territorial public health departments and the US Department of Agriculture Wildlife Services were analyzed to evaluate the historical rabies-free definition. A zero-inflated negative binomial model created county-level predictions of the probability of rabies freedom and the expected number of rabies cases reported. Data analyzed were from all animals submitted for laboratory diagnosis of rabies in the United States from 1995 to 2020 in skunk and raccoon reservoir territories, excluding bats and bat variants.

resultsWe analyzed data from 14,642 and 30,120 county-years in the raccoon and skunk reservoir territories, respectively. Only 0.85% (9/1065) raccoon county-years and 0.79% (27/3411) skunk county-years that met the historical rabies-free criteria reported a case in the following year (99.2% negative predictive value for each), of which 2 were attributed to unreported bat variants. County-level model predictions displayed excellent discrimination for detecting zero cases and good estimates of reported cases in the following year. Counties classified as rabies free rarely (36/4476, 0.8%) detected cases in the following year.

conclusionsThis study concludes that the historical rabies freedom definition is a reasonable approach for identifying counties that are truly free from terrestrial raccoon and skunk rabies virus transmission. Gradations of risk can be measured using the rabies prediction model presented in this study. However, even counties with a high probability of rabies freedom should maintain rabies testing capacity, as there are numerous examples of translocations of rabies-infected animals that can cause major changes in the epidemiology of rabies.

Indexed as

ChiropteraRabiesRabies virusAnimalsAnimals, DomesticAnimals, WildHumansMephitidaeRaccoonsUnited Statesanimaldisease spreadinfection spreadmodelpredictpublic healthrabiessurveillancezoonoseszoonosis

Identifiers

PMID37027194
PMCPMC10131775

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.