Evidence map›Paper›PMID 41971971›Full record

ArticleInfectious Disease Modelling2026

Spatial point pattern analysis of environmental effects on valley fever intensity in Phoenix, Arizona.

John Ginos, Beckett Sterner, Petar Jevtić

Abstract read
In one paragraph

Article in Infectious Disease Modelling, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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.

John GinosSchool of Mathematical and Statistical Sciences, Arizona State University, 901 Palm Walk, Tempe, 85281, Arizona, USA.
Beckett SternerSchool of Life Sciences, Arizona State University, 427 East Tyler Mall, Tempe, 85281, Arizona, USA.
Petar JevtićSchool of Mathematical and Statistical Sciences, Arizona State University, 901 Palm Walk, Tempe, 85281, Arizona, USA.

Funding

DMS/NIGMS 2: Spatial, Multi-Host Petri Net Models for Zoonotic Disease ForecastingR01GM152813 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI Beckett Sterner · 2023 to 2026
$1.1M
NIGMS NIH HHS R01 GM152813
6 · The paper itself

Abstract

Using a novel Arizona Medicaid data set, we model Valley fever (VF) cases in the Phoenix Metropolitan Area as a spatial point process during six month intervals between 2013 and 2023. We estimate the intensity function of VF cases, observed at residential locations of patients, as a function of environmental covariates available at high spatial resolutions: exposure to various land cover development categorizes, exposure to changes in land cover type, Normalized Difference Vegetation Index (NDVI), change in NDVI, and a Habitat Suitability Index (HSI) for the

Indexed as

CoccidioidesCoccidioidomycosisMedicaidNDVIPhoenixSoilSpatial point patternValley fever

Identifiers

PMID41971971
PMCPMC13062546

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.