2018
DOI: 10.1111/tbed.12953
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Combining value chain and social network analysis as a viable tool for informing targeted disease surveillance in the rural poultry sector of Zambia

Abstract: Diseases are among the greatest challenges to the rural poultry sector in sub-Saharan Africa. The lack of a sustainable poultry disease surveillance system and the possible existence of communities and occasions where the interaction between birds is high present an opportunity for targeted surveillance of poultry diseases in these regions. However, the establishment of such a system requires adequate knowledge of the sector in the targeted area. Zambia is an example of a developing country located in the trop… Show more

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Cited by 15 publications
(6 citation statements)
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“…Knowledge of animal movement patterns provides essential information for animal disease control, including surveillance and risk analysis, and allows a more targeted approach for improving the effectiveness of disease control strategies (Marquetoux et al., 2016; Porphyre et al., 2019; Vallee et al., 2013). Social network analysis (SNA) can be used to explore how network configurations affect the dynamics of infectious diseases and to identify premises or areas where risk‐based interventions should be targeted (Kurscheid et al., 2017; Li et al., 2020; Marquetoux et al., 2016; Mubamba et al., 2018). SNA studies have been conducted on live poultry movements in several countries, including Bangladesh, Cambodia and Thailand (Moyen et al., 2018; Poolkhet et al., 2013; Van Kerkhove et al., 2009), as well as in China (Martin et al., 2011; Zhou et al., 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Knowledge of animal movement patterns provides essential information for animal disease control, including surveillance and risk analysis, and allows a more targeted approach for improving the effectiveness of disease control strategies (Marquetoux et al., 2016; Porphyre et al., 2019; Vallee et al., 2013). Social network analysis (SNA) can be used to explore how network configurations affect the dynamics of infectious diseases and to identify premises or areas where risk‐based interventions should be targeted (Kurscheid et al., 2017; Li et al., 2020; Marquetoux et al., 2016; Mubamba et al., 2018). SNA studies have been conducted on live poultry movements in several countries, including Bangladesh, Cambodia and Thailand (Moyen et al., 2018; Poolkhet et al., 2013; Van Kerkhove et al., 2009), as well as in China (Martin et al., 2011; Zhou et al., 2015).…”
Section: Introductionmentioning
confidence: 99%
“…The prevalence of poultry diseases also depends on the production system and season. A majority of SSFs produce ICs under FRS (Figure 1b) and SIS, in which outbreaks of these diseases and parasites are rampant [36,37]. Cases of poultry diseases vary with changes in seasonality.…”
Section: Impact Of Diseases On the Indigenous Chicken Sectormentioning
confidence: 99%
“…In 2017, the highly pathogenic H5N8 avian influenza negatively impacted the country's poultry sector, leading to thousands of birds being culled (PAZ 2021). Common diseases such as typhoid, infectious coryza, Gumboro, worm infestation, and external parasites have also contributed to the poor performance and high mortalities experienced in the IC sector (Phiri et al 2007;Simainga et al 2011;Mubamba et al 2018).…”
Section: Poultry Diseasesmentioning
confidence: 99%