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

dc.contributor.authorSudarat Chadsuthien_US
dc.contributor.authorKarine Chalvet-Monfrayen_US
dc.contributor.authorAnuwat Wiratsudakulen_US
dc.contributor.authorDuangjai Suwancharoenen_US
dc.contributor.authorJulien Cappelleen_US
dc.contributor.otherAnimal, Santé, Territoires, Risques et Ecosystèmes (ASTRE)en_US
dc.contributor.otherUniversité de Montpellieren_US
dc.contributor.otherInstitut d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnementen_US
dc.contributor.otherThailand National Institute of Animal Healthen_US
dc.contributor.otherNaresuan Universityen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2019-08-23T11:35:39Z
dc.date.available2019-08-23T11:35:39Z
dc.date.issued2018-11-29en_US
dc.description.abstract© 2018 The Author(s). Background: Leptospirosis 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. Method: A 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. Results: A 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. Conclusions: Our 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.en_US
dc.identifier.citationBMC Infectious Diseases. Vol.18, No.1 (2018)en_US
dc.identifier.doi10.1186/s12879-018-3537-3en_US
dc.identifier.issn14712334en_US
dc.identifier.other2-s2.0-85057536231en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/46177
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85057536231&origin=inwarden_US
dc.subjectMedicineen_US
dc.titleA remotely sensed flooding indicator associated with cattle and buffalo leptospirosis cases in Thailand 2011-2013en_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85057536231&origin=inwarden_US

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