Social network analysis provides insights into African swine fever epidemiology.

Prev Vet Med

Commonwealth Scientific and Industrial Research Organization, Land and Water Flagship, Business & Innovation Centre, Desert Knowledge Precinct, Alice Springs 0870, NT, Australia; International Livestock Research Institute and Biosciences Eastern and Central Africa, P.O. Box 30709, Nairobi 00100, Kenya. Electronic address:

Published: April 2016

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.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.prevetmed.2016.01.019DOI Listing

Publication Analysis

Top Keywords

pig movements
16
pig movement
12
pig
11
african swine
8
swine fever
8
movement networks
8
social networks
8
networks
6
social network
4
network analysis
4

Similar Publications

African Swine Fever: Spread and seasonal patterns worldwide.

Prev Vet Med

December 2024

Veterinary School, Preventive Veterinary Medicine Department, Universidade Federal de Minas Gerais, Brazil. Electronic address:

African Swine Fever (ASF) is a viral disease affecting both wild and domestic swine, with the potential for major lethality rates. In addition to direct losses for producers, its notification in a free country or zone leads to international trade restrictions. The disease has spread globally at concerning levels, with outbreaks reported in recent years across five continents.

View Article and Find Full Text PDF

Porcine reproductive and respiratory syndrome (PRRS) is a significant swine disease with no effective vaccine due to high viral mutation rates. This study investigates a natural PRRS outbreak through molecular, pathological, and serological analyses. Nineteen affected pigs were clinically examined, and 10 underwent post-mortem examination.

View Article and Find Full Text PDF

Hearing the unheard: Fundamentals of acoustic emission signals as predictors of total hip arthroplasty implant loosening.

Med Eng Phys

December 2024

Laboratory for Biomechanics and Biomaterials (LBB), Department of Orthopaedic Surgery, Hannover Medical School, Anna-von-Borries-Strasse 1-7, 30625 Hannover, Germany. Electronic address:

Implant loosening remains a primary cause of failure of total hip arthroplasty (THA) and is often detected late, when pain occurs. Acoustic emission (AE) analysis is a promising method for early loosening detection, on the supposition that relative movements at the bone-implant interface induce detectable AE signals. To distinguish loosening-induced AE signals from those of stable THA components in vitro investigations are necessary.

View Article and Find Full Text PDF

Congenital tremor (CT) caused by atypical porcine pestivirus (APPV) is a widespread disease in the swine industry. It is characterized by tremors in newborn piglets, but tremor description and association to other clinical signs are not well documented. This study's objectives were to characterize general and neurological clinical signs of APPV-induced CT and describe the progression and associations between the different signs.

View Article and Find Full Text PDF

Five epidemiological aspects of ASF were evaluated using literature reviews, field studies, questionnaires and mathematical models. First, a literature review and a case-control study in commercial pig farms emphasised the importance of biosecurity and farming practices, including the spread of manure around farms and the use of bedding material as risk factors, while the use of insect nets was a protective factor. Second, although wild boar density is a relevant known factor, the statistical and mechanistic models did not show a clear and consistent effect of wild boar density on ASF epidemiology in the selected scenarios.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!