Evidence map›Paper›PMID 33606807›Full record

ArticlePloS one2021

Using soil survey data to model potential Coccidioides soil habitat and inform Valley fever epidemiology.

Robert R Dobos, Kaitlin Benedict, Brendan R Jackson, Orion Z McCotter

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

22 citing papers in PubMed, 27 citations in OpenAlex.

  1. Urban soils along the Kern River and Los Gatos Creek are hotspots forApplied and environmental microbiology · 2026
    Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Review
  7. Article
  8. Article
  9. Urban soils along the Kern River and Los Gatos Creek are hotspots forbioRxiv : the preprint server for biology · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. From soil to clinic: current advances in understandingMicrobiology and molecular biology reviews : MMBR · 2024
    Review
  14. Review
  15. Article
  16. Article
  17. WasmBio · 2023
    Review
  18. Risk of Exposure toMicroorganisms · 2023
    Article
  19. Article
  20. Coccidioides Species: A Review of Basic Research: 2022.Journal of fungi (Basel, Switzerland) · 2022
    Review
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

4 authors at 2 institutions in 1 country.

Robert R DobosSoil and Plant Science Division, United States Department of Agriculture, Natural Resources Conservation Service, Washington, D.C., United States of America.
Kaitlin BenedictCenters for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0003-0458-2493
Brendan R JacksonCenters for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Orion Z McCotterCenters for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Centers for Disease Control and Prevention · USNatural Resources Conservation Service · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coccidioidomycosis, also known as Valley fever, is a disease that can result in substantial illness and death. It is most common in the southwestern United States and areas of Latin America with arid climates, though reports increasingly suggest its range is wider than previously recognized. The natural habitat of the causative organisms, Coccidioides spp., have been associated with certain soil properties and climatic conditions. Current understanding of its geographic range is primarily defined by skin test studies and outbreak locations. We developed a fuzzy system model to predict suitable soil habitats for Coccidioides across the western United States based on parameters (electrical conductivity, organic matter content, pH, water holding capacity, temperature, and precipitation) from sites where soil sampling has confirmed the presence of Coccidioides. The model identified high coccidioidomycosis incidence areas as having high suitability and identified pockets of elevated suitability corresponding with outbreak locations outside the traditional range. By providing high-resolution estimates of Coccidioides suitability, including areas without public health surveillance for coccidioidomycosis, this model may be able to aid public health and clinical provider decision making. Awareness of possible Coccidioides soil habitats could help mitigate risk during soil-disturbing activities and help providers improve coccidioidomycosis diagnosis and treatment.

Indexed as

CoccidioidesCoccidioidomycosisFuzzy LogicHumansHydrogen-Ion ConcentrationLatin AmericaPublic HealthRainSoilSoil MicrobiologySouthwestern United StatesTemperatureSoil

Identifiers

PMID33606807
PMCPMC7894876
OpenAlexW3132325755

What OpenQuestion holds

Textmetadata
LicenceCC0
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.