Evidence map›Paper›PMID 39253708›Full record

ArticleLancet regional health. Americas2024

Coccidioidomycosis seasonality in California: a longitudinal surveillance study of the climate determinants and spatiotemporal variability of seasonal dynamics, 2000-2021.

Alexandra K Heaney, Simon K Camponuri, Jennifer R Head, Philip Collender, Amanda Weaver, Gail Sondermeyer Cooksey, Alexander Yu, Duc Vugia, Seema Jain, Abinash Bhattachan and 2 more

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

12 authors.

Alexandra K HeaneyHerbert Wertheim School of Public Health, University of California, San Diego, San Diego, CA, USA.
Simon K CamponuriDivision of Environmental Health Sciences, University of California, Berkeley, Berkeley, CA, USA.
Jennifer R HeadDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Philip CollenderSanta Clara County Public Health Department, San Jose, CA, USA.
Amanda WeaverDivision of Environmental Health Sciences, University of California, Berkeley, Berkeley, CA, USA.
Gail Sondermeyer CookseyInfectious Disease Branch, California Department of Public Health, Richmond, CA, USA.
Alexander YuInfectious Disease Branch, California Department of Public Health, Richmond, CA, USA.
Duc VugiaInfectious Disease Branch, California Department of Public Health, Richmond, CA, USA.
Seema JainSan Francisco Department of Public Health, San Francisco, CA, USA.
Abinash BhattachanDepartment of Geosciences, Texas Tech University, Lubbock, TX, USA.
John TaylorDepartment of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA, USA.
Justin V RemaisDivision of Environmental Health Sciences, University of California, Berkeley, Berkeley, CA, USA.

Funding

Integrating Epidemiologic and Environmental Approaches to Understand and Predict Coccidioides Exposure and Coccidioidomycosis EmergenceR01AI148336 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI REMAIS, JUSTIN V · 2020 to 2024
$4.5M
Modelled estimation of population immunity for coccidioidomycosis and the role of immunologically naïve populations in the shifting epidemiology of coccidioidomycosis in CaliforniaK01AI173529 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jennifer Head · 2023 to 2026
$478k
NIAID NIH HHS K01 AI173529NIAID NIH HHS R01 AI148336
6 · The paper itself

Abstract

Background: Coccidioidomycosis, an emerging fungal disease in the western USA, exhibits seasonal patterns that are poorly understood, including periods of strong cyclicity, aseasonal intervals, and variation in seasonal timing that have been minimally characterized, and unexplained as to their causal factors. Coccidioidomycosis incidence has increased markedly in recent years, and our limited understanding of intra- and inter-annual seasonality has hindered the identification of important drivers of disease transmission, including climate conditions. In this study, we aim to characterize coccidioidomycosis seasonality in endemic regions of California and to estimate the relationship between drought conditions and coccidioidomycosis seasonal periodicity and timing. Methods: We analysed data on all reported incident cases of coccidioidomycosis in California from 2000 to 2021 to characterize seasonal patterns in incidence, and conducted wavelet analyses to assess the dominant periodicity, power, and timing of incidence for 17 counties with consistently high incidence rates. We assessed associations between seasonality parameters and measures of drought in California using a distributed lag nonlinear modelling framework. Findings: All counties exhibited annual cyclicity in incidence (i.e., a dominant wavelet periodicity of 12 months), but there was considerable heterogeneity in seasonal strength and timing across regions and years. On average, 12-month periodicity was most pronounced in the Southern San Joaquin Valley and Central Coast. Further, the annual seasonal cycles in the Southern San Joaquin Valley and the Southern Inland regions occurred earlier than those in coastal and northern counties, yet the timing of annual cycles became more aligned among counties by the end of the study period. Drought conditions were associated with a strong attenuation of the annual seasonal cycle, and seasonal peaks became more pronounced in the 1-2 years after a drought ended. Interpretation: We conclude that drought conditions do not increase the risk of coccidioidomycosis onset uniformly across the year, but instead promote increased risk concentrated within a specific calendar period (September to December). The findings have important implications for public health preparedness, and for how future shifts in seasonal climate patterns and extreme events may impact spatial and temporal coccidioidomycosis risk. Funding: National Institutes of Health.

Indexed as

CoccidioidesCoccidioidomycosisDroughtEmerging infectious diseaseFungal infectionsSeasonality

Identifiers

PMID39253708
PMCPMC11382213

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.