Evidence map›Paper›PMID 28644403›Full record

ArticleInternational journal of environmental research and public health2017

Assessment of Vulnerability to Coccidioidomycosis in Arizona and California.

Jennifer Shriber, Kathryn C Conlon, Kaitlin Benedict, Orion Z McCotter, Jesse E Bell

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Climate change and public health in California: A structured review of exposures, vulnerable populations, and adaptation measures.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Review
  5. Review
  6. Coccidioidomycosis (Valley Fever), Soil Moisture, and El Nino Southern Oscillation in California and Arizona.International journal of environmental research and public health · 2022
    Article
  7. Evaluating Changes in Health Risk from Drought over the Contiguous United States.International journal of environmental research and public health · 2022
    Article
  8. Article
  9. A Review ofCurrent clinical microbiology reports · 2021
    Review
  10. Review
  11. Article
  12. First Analysis of HumanJournal of fungi (Basel, Switzerland) · 2019
    Article
  13. Article
  14. Article
  15. 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

5 authors.

Jennifer ShriberRollins School of Public Health, Emory University, Atlanta, GA 30322, USA. jshriber488@gmail.com.
Kathryn C ConlonClimate and Health Program, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA. kconlon@cdc.gov.
Kaitlin BenedictMycotic Diseases Branch, Centers for Disease Control and Prevention, GA 30333, USA. jsy8@cdc.gov.
Orion Z McCotterMycotic Diseases Branch, Centers for Disease Control and Prevention, GA 30333, USA. yim4@cdc.gov.
Jesse E BellRollins School of Public Health, Emory University, Atlanta, GA 30322, USA. jesse@cicsnc.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coccidioidomycosis is a fungal infection endemic to the southwestern United States, particularly Arizona and California. Its incidence has increased, potentially due in part to the effects of changing climatic variables on fungal growth and spore dissemination. This study aims to quantify the county-level vulnerability to coccidioidomycosis in Arizona and California and to assess the relationships between population vulnerability and climate variability. The variables representing exposure, sensitivity, and adaptive capacity were combined to calculate county level vulnerability indices. Three methods were used: (1) principal components analysis; (2) quartile weighting; and (3) percentile weighting. Two sets of indices, "unsupervised" and "supervised", were created. Each index was correlated with coccidioidomycosis incidence data from 2000-2014. The supervised percentile index had the highest correlation; it was then correlated with variability measures for temperature, precipitation, and drought. The supervised percentile index was significantly correlated (

Indexed as

ArizonaCaliforniaClimateCoccidioidomycosisHumansIncidencePrincipal Component AnalysisRisk FactorsTemperatureVulnerable Populationsclimate changeclimate variabilitycoccidioidomycosisvalley fevervulnerabilityvulnerability index

Identifiers

PMID28644403
PMCPMC5551118

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.