Evidence map›Paper›PMID 30497412›Full record

ArticleBMC infectious diseases2018

A remotely sensed flooding indicator associated with cattle and buffalo leptospirosis cases in Thailand 2011-2013.

Sudarat Chadsuthi, Karine Chalvet-Monfray, Anuwat Wiratsudakul, Duangjai Suwancharoen, Julien Cappelle

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

11 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Molecular and Serological Identification of PathogenicTransboundary and emerging diseases · 2023
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  3. Article
  4. Detection ofPathogens (Basel, Switzerland) · 2022
    Article
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  9. Article
  10. Identification of PathogenicFrontiers in veterinary science · 2020
    Article
  11. Factors Associated with Leptospirosis in Domestic Cattle in Salakphra Wildlife Sanctuary, Thailand.International journal of environmental research and public health · 2019
    Article
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 at 4 institutions in 2 countries.

Sudarat ChadsuthiDepartment of Physics, Research Center for Academic Excellence in Applied Physics, Faculty of Science, Naresuan University, Phitsanulok, 65000, Thailand. sudaratc@nu.ac.th.ORCID http://orcid.org/0000-0003-1368-2437
Karine Chalvet-MonfrayUniversité Clermont Auvergne, Université de Lyon, INRA, VetAgro Sup, UMR EPIA, 63122, Saint Genès Champanelle, France.
Anuwat WiratsudakulDepartment of Clinical Sciences and Public Health, and the Monitoring and Surveillance Center for Zoonotic Diseases in Wildlife and Exotic Animals, Faculty of Veterinary Science, Mahidol University, Nakhon Pathom, 73170, Thailand.
Duangjai SuwancharoenNational Institute of Animal Health, Department of Livestock Development, Bangkok, 10900, Thailand.
Julien CappelleUniversité Clermont Auvergne, Université de Lyon, INRA, VetAgro Sup, UMR EPIA, 63122, Saint Genès Champanelle, France.
Université Claude Bernard Lyon 1 · FRDepartment of Livestock Development · THMahidol University · THNaresuan University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeptospirosis is an important zoonotic disease worldwide, caused by spirochetes bacteria of the genus Leptospira. In Thailand, cattle and buffalo used in agriculture are in close contact with human beings. During flooding, bacteria can quickly spread throughout an environment, increasing the risk of leptospirosis infection. The aim of this study was to investigate the association of several environmental factors with cattle and buffalo leptospirosis cases in Thailand, with a focus on flooding.

methodA total of 3571 urine samples were collected from cattle and buffalo in 107 districts by field veterinarians from January 2011 to February 2013. All samples were examined for the presence of leptospirosis infection by loop-mediated isothermal amplification (LAMP). Environmental data, including rainfall, percentage of flooded area (estimated by remote sensing), average elevation, and human and livestock population density were used to build a generalized linear mixed model.

resultsA total of 311 out of 3571 (8.43%) urine samples tested positive by the LAMP technique. Positive samples were recorded in 51 out of 107 districts (47.66%). Results showed a significant association between the percentage of the area flooded at district level and leptospirosis infection in cattle and buffalo (p = 0.023). Using this data, a map with a predicted risk of leptospirosis can be developed to help forecast leptospirosis cases in the field.

conclusionsOur model allows the identification of areas and periods when the risk of leptospirosis infection is higher in cattle and buffalo, mainly due to a seasonal flooding. The increased risk of leptospirosis infection can also be higher in humans too. These areas and periods should be targeted for leptospirosis surveillance and control in both humans and animals.

Indexed as

FloodsLeptospirosisRemote Sensing TechnologyAnimalsBuffaloesCattleCattle DiseasesCross-Sectional StudiesEnvironmental MonitoringForecastingGeographic Information SystemsHumansLeptospiraLivestockNucleic Acid Amplification TechniquesSatellite ImageryBuffaloCattleFloodingLeptospirosisSatellite imageryThailand

Identifiers

PMID30497412
PMCPMC6267035
OpenAlexW2903388905

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.