Evidence map›Paper›PMID 25778527›Full record

ArticleEpidemiology and infection2015

Spatio-temporal patterns of leptospirosis in Thailand: is flooding a risk factor?

S Suwanpakdee, J Kaewkungwal, L J White, N Asensio, P Ratanakorn, P Singhasivanon, N P J Day, W Pan-Ngum

Abstract read
In one paragraph

Article in Epidemiology and infection, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
–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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Epidemiological Changes in Acute Febrile Diseases after the COVID-19 Pandemic in Thailand.The American journal of tropical medicine and hygiene · 2025
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  10. Risk of human leptospirosis in Colombia: spatiotemporal analysis and related hydroclimatic factors.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2024
    Article
  11. Analysing the outbreaks of leptospirosis after floods in Kerala, India.International journal of health geographics · 2024
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  15. Evaluation of a genus-specific rGroELScientific reports · 2021
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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

8 authors.

S SuwanpakdeeDepartment of Tropical Hygiene,Faculty of Tropical Medicine,Mahidol University,Thailand.
J KaewkungwalDepartment of Tropical Hygiene,Faculty of Tropical Medicine,Mahidol University,Thailand.
L J WhiteMahidol-Oxford Tropical Medicine Research Unit,Faculty of Tropical Medicine,Mahidol University,Thailand.
N AsensioFaculty of Environment and Resource Studies,Mahidol University,Thailand.
P RatanakornThe Monitoring and Surveillance Center for Zoonotic Diseases in Wildlife and Exotic Animals,Faculty of Veterinary Science,Mahidol University,Thailand.
P SinghasivanonDepartment of Tropical Hygiene,Faculty of Tropical Medicine,Mahidol University,Thailand.
N P J DayMahidol-Oxford Tropical Medicine Research Unit,Faculty of Tropical Medicine,Mahidol University,Thailand.
W Pan-NgumDepartment of Tropical Hygiene,Faculty of Tropical Medicine,Mahidol University,Thailand.

Funding

Wellcome Trust
6 · The paper itself

Abstract

We studied the temporal and spatial patterns of leptospirosis, its association with flooding and animal census data in Thailand. Flood data from 2010 to 2012 were extracted from spatial information taken from satellite images. The incidence rate ratio (IRR) was used to determine the relationship between spatio-temporal flooding patterns and the number of human leptospirosis cases. In addition, the area of flood coverage, duration of waterlogging, time lags between flood events, and a number of potential animal reservoirs were considered in a sub-analysis. There was no significant temporal trend of leptospirosis over the study period. Statistical analysis showed an inconsistent relationship between IRR and flooding across years and regions. Spatially, leptospirosis occurred repeatedly and predominantly in northeastern Thailand. Our findings suggest that flooding is less influential in leptospirosis transmission than previously assumed. High incidence of the disease in the northeastern region is explained by the fact that agriculture and animal farming are important economic activities in this area. The periodic rise and fall of reported leptospirosis cases over time might be explained by seasonal exposure from rice farming activities performed during the rainy season when flood events often occur. We conclude that leptospirosis remains an occupational disease in Thailand.

Indexed as

Topography, MedicalAnimalsFloodsHumansIncidenceLeptospirosisOccupational DiseasesRisk FactorsSpatio-Temporal AnalysisThailandFloodinghuman leptospirosisThailand

Identifiers

PMID25778527
PMCPMC4462160

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.