Evidence map›Paper›PMID 41657708›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2026

Climatic determinants of antibiotic use in Southern Thailand: Retrospective longitudinal study during 2021 to 2023.

Tanavij Pannoi, Sukrit Sawangppon, Wen-Chi Pan

Abstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 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.

Tanavij PannoiSchool of Pharmacy, Walailak University, Nakhon Si Thammarat, Thailand.ORCID https://orcid.org/0000-0002-7316-0094
Sukrit SawangpponWalailak University Hospital, Walailak University, Nakhon Si Thammarat, Thailand.
Wen-Chi PanInstitute of Environmental and Occupational Health Sciences, National Yang Ming Chiao Tung University (NYCU). Taipei, Taiwan.ORCID https://orcid.org/0000-0002-0588-8083

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antibiotic consumption is influenced by multiple factors, including environmental conditions. In tropical regions, climate variability may contribute to seasonal patterns of infectious diseases and prescribing behaviors. This study examined the association between climatic variables and antibiotic use in a tertiary hospital in southern Thailand. Methods: We analyzed 7,696 prescriptions of tetracyclines (n = 971), beta-lactams and penicillins (n = 4,208), and macrolides (n = 2,517) dispensed from 2021 to 2023. Defined daily doses (DDDs) were modeled using generalized additive models and distributed lag nonlinear models to assess associations with temperature, humidity, and rainfall, incorporating delayed and nonlinear effects. Results: Tetracycline use peaked in January with over 120 DDDs/biweek and declined sharply thereafter. Distributed lag nonlinear models revealed a 45-60% increase in tetracycline use following temperature drops of ≥2 °C after 3-4 biweeks. Beta-lactam use rose by 20-30% in response to rising temperatures within 1-2 biweeks. Macrolide prescribing decreased by up to 25% in periods of high humidity (>80%) and increased with sudden temperature fluctuations. Increased rainfall (>100 mm/biweek) was significantly associated with higher beta-lactam DDDs. Conclusion: Climatic factors influence antibiotic consumption patterns in class-specific ways. Incorporating environmental surveillance into antimicrobial stewardship programs may improve preparedness and resource allocation. Further multicenter studies are needed to confirm these findings and assess pathogen-specific implications.

Indexed as

AntibioticsClimatic determinantClimatic exposuresEnvironmental factors

Identifiers

PMID41657708
PMCPMC12875700

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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.