Evidence map›Paper›PMID 40869886›Full record

ArticleInternational journal of environmental research and public health2025

Assessing Public Health Capacity for Infectious Disease Modeling: A Qualitative Study of State and Local Agencies.

Skyler J Crouch, Katie S Allen, Delaney Thornton, Joel Hartsell, Elizabeth H Weybright, Julia E Szymczak, Kimberley I Shoaf

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Skyler J CrouchDivision of Public Health, Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT 84108, USA.ORCID 0009-0009-2741-5445
Katie S AllenEpi-Vant, Salt Lake City, UT 84092, USA.
Delaney ThorntonDivision of Epidemiology, Department of Internal Medicine, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT 84112, USA.
Joel HartsellEpi-Vant, Salt Lake City, UT 84092, USA.
Elizabeth H WeybrightDepartment of Human Development, Washington State University, Pullman, WA 99164, USA.ORCID 0000-0002-3995-7067
Julia E SzymczakDivision of Epidemiology, Department of Internal Medicine, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT 84112, USA.
Kimberley I ShoafDivision of Public Health, Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT 84108, USA.ORCID 0000-0001-6754-2216

Funding

CDC HHS NU38FT000009-01-00
6 · The paper itself

Abstract

Infectious disease modeling and forecasting tools are crucial for outbreak management. However, variability exists in the capacity of state and local health departments to effectively utilize these tools, influenced by factors such as infrastructure, funding, staff capacity, and data access. This study aims to identify the current priorities, needs, and capacities of state and local public health departments regarding infectious disease modeling and forecasting tools. Key informant interviews were conducted with epidemiologists, informaticists, and leadership across state and local health departments from Montana, Utah, and Washington. Thematic coding and axial coding were used for thematic analysis. Three themes emerged: (1) models and tools must be adaptable based on the jurisdiction type (rural, urban, state); (2) building trust in models and tools is an important precursor to adoption; and (3) there are concerns about the availability and quality of data. This study highlights the need for adaptable modeling tools that are tailored to specific public health jurisdictions. Building trust in modeling and forecasting tools and addressing data quality issues are essential for successful tool implementation and adoption across diverse public health settings.

Indexed as

Communicable DiseasesEpidemiological ModelsPublic HealthPublic Health AdministrationDisease OutbreaksForecastingHumansMontanaQualitative ResearchUtahWashingtoninfectious disease modelinglocal health agenciespublic health capacity

Identifiers

PMID40869886
PMCPMC12386532

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.