Literature DB >> 26848113

Social network analysis provides insights into African swine fever epidemiology.

Jacqueline Kasiiti Lichoti1, Jocelyn Davies2, Philip M Kitala3, Samuel M Githigia4, Edward Okoth5, Yiheyis Maru6, Salome A Bukachi7, Richard P Bishop8.   

Abstract

Pig movements play a significant role in the spread of economically important infectious diseases such as the African swine fever. Characterization of movement networks between pig farms and through other types of farm and household enterprises that are involved in pig value chains can provide useful information on the role that different participants in the networks play in pathogen transmission. Analysis of social networks that underpin these pig movements can reveal pathways that are important in the transmission of disease, trade in commodities, the dissemination of information and the influence of behavioural norms. We assessed pig movements among pig keeping households within West Kenya and East Uganda and across the shared Kenya-Uganda border in the study region, to gain insight into within-country and trans-boundary pig movements. Villages were sampled using a randomized cluster design. Data were collected through interviews in 2012 and 2013 from 683 smallholder pig-keeping households in 34 villages. NodeXL software was used to describe pig movement networks at village level. The pig movement and trade networks were localized and based on close social networks involving family ties, friendships and relationships with neighbours. Pig movement network modularity ranged from 0.2 to 0.5 and exhibited good community structure within the network implying an easy flow of knowledge and adoption of new attitudes and beliefs, but also promoting an enhanced rate of disease transmission. The average path length of 5 defined using NodeXL, indicated that disease could easily reach every node in a cluster. Cross-border boar service between Uganda and Kenya was also recorded. Unmonitored trade in both directions was prevalent. While most pig transactions in the absence of disease, were at a small scale (<5km) and characterized by regular agistment, most pig sales during ASF outbreaks were to traders or other farmers from outside the sellers' village at a range of >10km. The close social relationships between actors in pig movement networks indicate the potential for possible interventions to develop shared norms and mutually accepted protocols amongst smallholder pig keepers to better manage the risk of ASF introduction and transmission.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  African swine fever; Pig movements; Social networks analysis

Mesh:

Year:  2016        PMID: 26848113     DOI: 10.1016/j.prevetmed.2016.01.019

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  12 in total

1.  The asymptotic distribution of modularity in weighted signed networks.

Authors:  Rong Ma; Ian Barnett
Journal:  Biometrika       Date:  2020-07-08       Impact factor: 2.445

2.  Emerging infectious diseases may spread across pig trade networks in Thailand once introduced: a network analysis approach.

Authors:  Anuwat Wiratsudakul; Phrutsamon Wongnak; Weerapong Thanapongtharm
Journal:  Trop Anim Health Prod       Date:  2022-06-10       Impact factor: 1.893

3.  Evidence for the presence of African swine fever virus in an endemic region of Western Kenya in the absence of any reported outbreak.

Authors:  Lian F Thomas; Richard P Bishop; Cynthia Onzere; Michael T Mcintosh; Karissa A Lemire; William A de Glanville; E Anne J Cook; Eric M Fèvre
Journal:  BMC Vet Res       Date:  2016-09-08       Impact factor: 2.741

4.  Seasonality and pathogen transmission in pastoral cattle contact networks.

Authors:  Kimberly VanderWaal; Marie Gilbertson; Sharon Okanga; Brian F Allan; Meggan E Craft
Journal:  R Soc Open Sci       Date:  2017-12-06       Impact factor: 2.963

5.  Pig movements in France: Designing network models fitting the transmission route of pathogens.

Authors:  Morgane Salines; Mathieu Andraud; Nicolas Rose
Journal:  PLoS One       Date:  2017-10-19       Impact factor: 3.240

6.  Multi-locus sequence typing of African swine fever viruses from endemic regions of Kenya and Eastern Uganda (2011-2013) reveals rapid B602L central variable region evolution.

Authors:  C K Onzere; A D Bastos; E A Okoth; J K Lichoti; E N Bochere; M G Owido; G Ndambuki; M Bronsvoort; R P Bishop
Journal:  Virus Genes       Date:  2017-11-15       Impact factor: 2.332

7.  Predictive gravity models of livestock mobility in Mauritania: The effects of supply, demand and cultural factors.

Authors:  Gaëlle Nicolas; Andrea Apolloni; Caroline Coste; G R William Wint; Renaud Lancelot; Marius Gilbert
Journal:  PLoS One       Date:  2018-07-18       Impact factor: 3.240

Review 8.  With or without a Vaccine-A Review of Complementary and Alternative Approaches to Managing African Swine Fever in Resource-Constrained Smallholder Settings.

Authors:  Mary-Louise Penrith; Armanda Bastos; Erika Chenais
Journal:  Vaccines (Basel)       Date:  2021-02-02

9.  A Mix of Old British and Modern European Breeds: Genomic Prediction of Breed Composition of Smallholder Pigs in Uganda.

Authors:  Brian Martin Babigumira; Johann Sölkner; Gábor Mészáros; Christina Pfeiffer; Craig R G Lewis; Emily Ouma; Maria Wurzinger; Karen Marshall
Journal:  Front Genet       Date:  2021-06-23       Impact factor: 4.599

10.  Impact of Network Activity on the Spread of Infectious Diseases through the German Pig Trade Network.

Authors:  Karin Lebl; Hartmut H K Lentz; Beate Pinior; Thomas Selhorst
Journal:  Front Vet Sci       Date:  2016-06-21
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