Q Fever Clinical Screening Framework: Evidence-Based Risk Assessment for Rural Populations

This poster presents the Q Fever Clinical Suspicion Index (QFCSI), an evidence-informed screening framework designed to improve identification of Q fever among rural populations. Current screening approaches emphasize occupational exposure despite evidence that many reported cases occur among individuals without direct livestock contact or employment in traditionally high-risk occupations. Drawing upon findings from a systematic review of 81 global outbreaks, United States surveillance data, international seroprevalence studies, and case-control research, the framework integrates demographic, exposure, clinical, and medical-risk factors into a practical point-based assessment tool. The QFCSI is intended to support clinical decision-making, improve diagnostic suspicion, and encourage earlier identification of potential Q fever infections in community and rural healthcare settings. This framework is conceptual and requires prospective validation before clinical implementation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-18
DOI
https://doi.org/10.5281/zenodo.20739334
Primary Topic
Vector-borne infectious diseases
Type
article
Field-Weighted Citation Impact
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article

Q Fever Clinical Screening Framework: Evidence-Based Risk Assessment for Rural Populations

Joseph Colby Bernert
Zenodo (CERN European Organization for Nuclear Research)
Vector-borne infectious diseases
article

Q Fever Clinical Screening Framework: Evidence-Based Risk Assessment for Rural Populations

Joseph Colby Bernert
article en

Abstract

This poster presents the Q Fever Clinical Suspicion Index (QFCSI), an evidence-informed screening framework designed to improve identification of Q fever among rural populations. Current screening approaches emphasize occupational exposure despite evidence that many reported cases occur among individuals without direct livestock contact or employment in traditionally high-risk occupations. Drawing upon findings from a systematic review of 81 global outbreaks, United States surveillance data, international seroprevalence studies, and case-control research, the framework integrates demographic, exposure, clinical, and medical-risk factors into a practical point-based assessment tool. The QFCSI is intended to support clinical decision-making, improve diagnostic suspicion, and encourage earlier identification of potential Q fever infections in community and rural healthcare settings. This framework is conceptual and requires prospective validation before clinical implementation.

Zenodo (CERN European Organization for Nuclear Research)
West Virginia University (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 5%
Vector-borne infectious diseases
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