Skip to main navigation Skip to search Skip to main content

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
  • Department of Physics
  • Naresuan University
  • Clermont Université
  • Department of Livestock Development
  • University of Montpellier
  • Animal et Gestion Intégrée des Risques, AGIRs, CIRAD
  • National Institute of Animal Health

Research output: Contribution to journal › Article › peer-review

17 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number602
JournalBMC Infectious Diseases
Volume18
Issue number1
DOIs
Publication statusPublished - 29 Nov 2018

Keywords

  • Buffalo
  • Cattle
  • Flooding
  • Leptospirosis
  • Satellite imagery
  • Thailand

Fingerprint

Dive into the research topics of 'A remotely sensed flooding indicator associated with cattle and buffalo leptospirosis cases in Thailand 2011-2013'. Together they form a unique fingerprint.

Cite this