Evidence map›Paper›PMID 41599070›Full record

ArticlePathogens (Basel, Switzerland)2026

Descriptive Temporal Epidemiology of Tularemia Using Case Reports and Hospitalization Data in the United States, 2000-2022.

Chad L Cross, Bryson Carrier, Louisa A Messenger

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Chad L CrossSchool of Veterinary Medicine, Texas Tech University, Amarillo, TX 79106, USA.ORCID 0000-0002-8756-5607
Bryson CarrierTTTSVM Parasitology & Vector Biology (PARAVEC) Laboratory, School of Veterinary Medicine, Texas Tech University, Amarillo, TX 79106, USA.ORCID 0000-0002-7786-4240
Louisa A MessengerUNLV Parasitology & Vector Biology (PARAVEC) Laboratory, School of Public Health, University of Nevada, Las Vegas, NV 89154, USA.ORCID 0000-0002-3107-6214

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tularemia is a well-known zoonotic disease around the world, with particularly high rates in certain geographic areas of the U.S. Though the disease is regularly reported, it is classified as a rare condition owing to the relatively low number of cases detected annually. Interestingly, however, the number of cases in the U.S. has shown a positive upward trend through time. The aim of this study was to summarize, interpret, compare, and contextualize temporal trends in tularemia epidemiology at the national scale within the U.S. utilizing long-term data sets encompassing the 23-year span from 2000 to 2022. We used two secondary data sets: (1) case data reports from the National Notifiable Disease Surveillance System (NNDSS) of the Centers for Disease Control and Prevention (CDC) and (2) the National Inpatient Sample (NIS) of hospitalization discharge records. In addition to investigating patterns, we were interested in the utility of using hospital discharge records as a means of indirect epidemiological surveillance of this rare disease. Both data sets highlight the high variability in annual cases through time but underscore the highest risk of disease among patients classified as White and male, as well as the extraordinarily high rates among American Indian/Alaska Native populations, particularly those with pulmonary tularemia disease. Descriptive epidemiological summaries and statistical comparisons are provided across the time series for sex, age, ethnoracial identity, and geography; hospitalization characteristics are also described. Our desire to use case rates from hospitalization records as a surrogate for CDC case incidence rates did not provide the desired precision, though hospital discharge records do provide valuable and useful information necessary to estimate general high-risk groups for tularemia through time.

Indexed as

HospitalizationTularemiaAdolescentAdultAgedAnimalsChildFemaleFrancisella tularensisHumansIncidenceMaleMiddle AgedUnited StatesYoung AdultZoonosesepidemiological surveillancehealthcare utilizationindirect surveillancerare diseasestularemiazoonotic diseases

Identifiers

PMID41599070
PMCPMC12844927

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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.