Agritrop
Home

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

Chadsuthi Sudarat, Chalvet-Monfray Karine, Wiratsudakul Anuwat, Suwancharoen Duangjai, Cappelle Julien. 2018. A remotely sensed flooding indicator associated with cattle and buffalo leptospirosis cases in Thailand 2011–2013. BMC Infectious Diseases, 18:602, 9 p.

Journal article ; Article de recherche ; Article de revue à facteur d'impact Revue en libre accès total
[img]
Preview
Published version - Anglais
Use under authorization by the author or CIRAD.
Flooding indicator Thailand lepto - Chadsuthi et al - 2018.pdf

Télécharger (2MB) | Preview

Quartile : Q3, Sujet : INFECTIOUS DISEASES

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.

Mots-clés géographiques Agrovoc : Thaïlande

Classification Agris : L73 - Animal diseases
L72 - Pests of animals

Champ stratégique Cirad : Axe 4 (2014-2018) - Santé des animaux et des plantes

Auteurs et affiliations

  • Chadsuthi Sudarat, Naresuan University (THA) - auteur correspondant
  • Chalvet-Monfray Karine, ENSV (FRA)
  • Wiratsudakul Anuwat, Mahidol University (THA)
  • Suwancharoen Duangjai, Institute of Animal Health (THA)
  • Cappelle Julien, CIRAD-BIOS-UMR ASTRE (FRA) ORCID: 0000-0001-7668-1971

Source : Cirad-Agritrop (https://agritrop.cirad.fr/589704/)

View Item (staff only) View Item (staff only)

[ Page générée et mise en cache le 2021-04-07 ]