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Thursday 26 May 2016

Description and analysis of the poultry trading network in the Lake Alaotra region, Madagascar: Implications for the surveillance and control of Newcastle disease

Volume 135, Issue 1, July 2014, Pages 10-18

Description and analysis of the poultry trading network in the Lake Alaotra region, Madagascar: Implications for the surveillance and control of Newcastle disease  (Article)


FOFIFA - DRZV, BP 1690 Ampandrianomby, Antananarivo 101, Madagascar
Faculté de Médecine, Département , BP 375, 101 Antananarivo, Madagascar



Abstract

Madagascar's 36.5-million-head poultry industry holds a foremost place in its economy and the livelihood of its people. Unfortunately, regular Newcastle disease outbreaks associated with high mortality causes high losses for smallholders and threatens their livelihood. Therefore, Madagascar is seeking concrete, achievable and sustainable methods for the surveillance and the control of Newcastle disease. In this paper, we present and analyze the results of a field study conducted in Madagascar between December 2009 and December 2010. The study area was the Lac Alaotra region, a landlocked area in the north-eastern part of the country's center. Poultry trading is suspected of playing a major role in the spread of avian diseases, especially in developing countries characterized by many live-bird markets and middlemen. Therefore, the goals of our study were to: (i) describe and analyze smallholders' poultry trading network in the Lake Alaotra region using social network analysis; (ii) assess the role of the network in the spread of Newcastle disease; and (iii) propose the implementation of a targeted disease surveillance based on the characteristics of the poultry trading network. We focused our field study on the harvesting of two data sets. The first is a complete description of the poultry trading network in the landlocked area of Lac Alaotra, including a description of the poultry movements between groups of villages. The second set of data measures the occurrence of outbreaks in the same area by combining a participatory approach with an event-based surveillance method. These data were used to determine the attributes of the network, and to statistically assess the association between the position of nodes and the occurrence of outbreaks. By using social network analysis techniques combined with a classification method and a logistic model, we finally identified 3 nodes (set of villages), of the 387 in the initial network, to focus on for surveillance and control in the Lac Alaotra area. This result is of primary importance in the ongoing efforts to effectively improve the wellbeing of people in the region. © 2014 Elsevier B.V.

Author keywords

Positional analysis; Poultry; Risk-based surveillance; Trading

Indexed keywords

GEOBASE Subject Index: disease spread; implementation process; mortality; poultry; smallholder; social network; viral disease
EMTREE medical terms: article; disease surveillance; field study; infection control; livestock; Madagascar; marketing; Newcastle disease; nonhuman; poultry farming; social network; virus transmission; animal; epidemiological monitoring; epidemiology; human; Newcastle disease; poultry; Poultry Diseases; transmission; virology
Regional Index: Lake Alaotra; Madagascar; Toamasina
MeSH: Animals; Epidemiological Monitoring; Humans; Madagascar; Newcastle Disease; Poultry; Poultry Diseases
Medline is the source for the MeSH terms of this document.
ISSN: 0001706X CODEN: ACTRASource Type: Journal Original language: English
DOI: 10.1016/j.actatropica.2014.03.008 PubMed ID: 24681223Document Type: Article
Publisher: Elsevier

  Duboz, R.; CIRAD, AGIRS Research Unit, Campus international de Baillarguet, 34398 Montpellier Cedex 5, France; email:raphael.duboz@cirad.fr
© Copyright 2014 Elsevier B.V., All rights reserved.