Literature DB >> 28716195

Quantitative assessment of social and economic impact of African swine fever outbreaks in northern Uganda.

Erika Chenais1, Sofia Boqvist2, Ulf Emanuelson3, Claudia von Brömssen4, Emily Ouma5, Tonny Aliro6, Charles Masembe7, Karl Ståhl8, Susanna Sternberg-Lewerin9.   

Abstract

African swine fever (ASF) is one of the most important pig diseases, causing high case fatality rate and trade restrictions upon reported outbreaks. In Uganda, a low-income country with the largest pig population in East Africa, ASF is endemic. Animal disease impact is multidimensional and include social and economic impact along the value chain. In low-income settings, this impact keep people poor and push those that have managed to escape poverty back again. If the diseases can be controlled, their negative consequences can be mitigated. However, to successfully argue for investment in disease control, its cost-benefits need to be demonstrated. One part in the cost-benefit equations is disease impact quantification. The objective of this study was therefore to investigate the socio-economic impact of ASF outbreaks at household level in northern Uganda. In a longitudinal study, structured interviews with two hundred, randomly selected, pig-keeping households were undertaken three times with a six month interval. Questions related to family and pig herd demographics, pig trade and pig business. Associations between ASF outbreaks and economic and social impact variables were evaluated using linear regression models. The study showed that pigs were kept in extreme low-input-low-output farming systems involving only small monetary investments. Yearly incidence of ASF on household level was 19%. Increasing herd size was positively associated with higher economic output. The interaction between ASF outbreaks and the herd size showed that ASF outbreaks were negatively associated with economic output at the second interview occasion and with one out of two economic impact variables at the third interview occasion. No significant associations between the social impact variables included in the study and ASF outbreaks could be established. Trade and consumption of sick and dead pigs were coping strategies used to minimize losses of capital and animal protein. The results indicate that causality of social and economic impact of ASF outbreaks in smallholder systems is complex. Pigs are mostly kept as passive investments rather than active working capital, complicating economic analyses and further disqualifying disease control arguments based only on standard economic models.
Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ASF; Animal disease impact; Household level; Smallholder pig farming; Socioeconomic; Structured interviews

Mesh:

Year:  2017        PMID: 28716195     DOI: 10.1016/j.prevetmed.2017.06.002

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


  14 in total

1.  Genome Sequences of Five African Swine Fever Virus Genotype IX Isolates from Domestic Pigs in Uganda.

Authors:  Charles Masembe; Vattipally B Sreenu; Ana Da Silva Filipe; Gavin S Wilkie; Peter Ogweng; Francis Johnson Mayega; Vincent B Muwanika; Roman Biek; Massimo Palmarini; Andrew J Davison
Journal:  Microbiol Resour Announc       Date:  2018-10-04

2.  Socio-economic factors as indicators for various animal diseases in Sardinia.

Authors:  Federica Loi; Alberto Laddomada; Annamaria Coccollone; Elena Marrocu; Toni Piseddu; Giovanna Masala; Ennio Bandino; Stefano Cappai; Sandro Rolesu
Journal:  PLoS One       Date:  2019-06-03       Impact factor: 3.240

Review 3.  African swine fever: A permanent threat to Indian pigs.

Authors:  Sharanagouda S Patil; Kuralayanapalya Puttahonnappa Suresh; Vikram Vashist; Awadhesh Prajapati; Bramhadev Pattnaik; Parimal Roy
Journal:  Vet World       Date:  2020-10-29

4.  Impact of participatory training of smallholder pig farmers on knowledge, attitudes and practices regarding biosecurity for the control of African swine fever in Uganda.

Authors:  Michel Mainack Dione; Ian Dohoo; Nicholas Ndiwa; Jane Poole; Emily Ouma; Winfred Christine Amia; Barbara Wieland
Journal:  Transbound Emerg Dis       Date:  2020-05-17       Impact factor: 5.005

5.  Natural oil blend formulation as an anti-African swine fever virus agent in in vitro primary porcine alveolar macrophage culture.

Authors:  Quang Lam Truong; Lan Thi Nguyen; Haig Yousef Babikian; Rajeev Kumar Jha; Hoa Thi Nguyen; Thanh Long To
Journal:  Vet World       Date:  2021-03-30

6.  Prevention and Control of African Swine Fever in the Smallholder Pig Value Chain in Northern Uganda: Thematic Analysis of Stakeholders' Perceptions.

Authors:  T Aliro; E Chenais; W Odongo; D M Okello; C Masembe; K Ståhl
Journal:  Front Vet Sci       Date:  2022-01-13

7.  The rising incidence of African swine fever during the COVID-19 pandemic in Africa: Efforts, challenges and recommendations.

Authors:  Olivier Uwishema; Elie Chalhoub; Amirsaman Zahabioun; Success Chekwube David; Carlo Khoury; Taif Haitham Al-Saraireh; Bezawit Kassahun Bekele; Rehema Mkamburi Mwazighe; Helen Onyeaka
Journal:  Int J Health Plann Manage       Date:  2021-10-11

8.  Prioritisation of Provinces for African Swine Fever Intervention in South Africa through Decision Matrix Analysis.

Authors:  Leana Janse van Rensburg; Mary-Louise Penrith; Eric M C Etter
Journal:  Pathogens       Date:  2022-01-22

9.  The impact of African swine fever virus on smallholder village pig production: An outbreak investigation in Lao PDR.

Authors:  Nina Matsumoto; Jarunee Siengsanan-Lamont; Tariq Halasa; James R Young; Michael P Ward; Bounlom Douangngeun; Watthana Theppangna; Syseng Khounsy; Jenny-Ann L M L Toribio; Russell D Bush; Stuart D Blacksell
Journal:  Transbound Emerg Dis       Date:  2021-07-07       Impact factor: 4.521

10.  An index for multidimensional assessment of swine health.

Authors:  Aidé Zavala-Cortés; Gerardo Hernández; José-Víctor Calderón-Salinas
Journal:  Trop Anim Health Prod       Date:  2021-01-06       Impact factor: 1.893

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