11
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Knowledge and risk factors for foot-and-mouth disease among small-scale dairy farmers in an endemic setting

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Foot-and-mouth disease (FMD) is a highly contagious viral infection of cloven-hoofed animals. In Kenya, the disease is endemic with outbreaks typically occurring throughout the year. A cross-sectional study was undertaken in Nakuru County to investigate farmer knowledge and risk factors for clinical disease. Semi-structured interviews were conducted on 220 smallholder farmers, selected using random spatial sampling. The majority of respondents (207/220 [94.1%]) knew of FMD and 166/207 (80.2%) of them could correctly identify the disease based on their knowledge of the clinical signs. Forty-five out of 220 farmers (20.4%) vaccinated their livestock against FMD in the previous 6 months, although of those who knew of FMD only 96/207 (46.4%) perceived it as a preventive measure undertaken to reduce the risk of disease in their farm. FMD had occurred in 5.9% of the surveyed farms within the previous 6 months (from May to November 2016). Using multivariate analysis, the use of a shared bull (OR = 9.7; p = 0.014) and the number of sheep owned (for each additional sheep owned OR = 1.1; p = 0.066) were associated with an increased likelihood of a farm experiencing a case of FMD in the previous 6 months, although the evidence for the latter was weak. This study reports risk factors associated with clinical FMD at the farm level in a densely populated smallholder farming area of Kenya. These results can be used to inform the development of risk-based strategic plans for FMD control and as a baseline for evaluating interventions and control strategies.

          Electronic supplementary material

          The online version of this article (10.1186/s13567-019-0652-0) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references27

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          The economic impacts of foot and mouth disease – What are they, how big are they and where do they occur?

          Although a disease of low mortality, the global impact of foot and mouth disease (FMD) is colossal due to the huge numbers of animals affected. This impact can be separated into two components: (1) direct losses due to reduced production and changes in herd structure; and (2) indirect losses caused by costs of FMD control, poor access to markets and limited use of improved production technologies. This paper estimates that annual impact of FMD in terms of visible production losses and vaccination in endemic regions alone amount to between US$6.5 and 21 billion. In addition, outbreaks in FMD free countries and zones cause losses of >US$1.5 billion a year. FMD impacts are not the same throughout the world: 1. FMD production losses have a big impact on the world's poorest where more people are directly dependent on livestock. FMD reduces herd fertility leading to less efficient herd structures and discourages the use of FMD susceptible, high productivity breeds. Overall the direct losses limit livestock productivity affecting food security. 2. In countries with ongoing control programmes, FMD control and management creates large costs. These control programmes are often difficult to discontinue due to risks of new FMD incursion. 3. The presence, or even threat, of FMD prevents access to lucrative international markets. 4. In FMD free countries outbreaks occur periodically and the costs involved in regaining free status have been enormous. FMD is highly contagious and the actions of one farmer affect the risk of FMD occurring on other holdings; thus sizeable externalities are generated. Control therefore requires coordination within and between countries. These externalities imply that FMD control produces a significant amount of public goods, justifying the need for national and international public investment. Equipping poor countries with the tools needed to control FMD will involve the long term development of state veterinary services that in turn will deliver wider benefits to a nation including the control of other livestock diseases.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            EpiCollect: Linking Smartphones to Web Applications for Epidemiology, Ecology and Community Data Collection

            Background Epidemiologists and ecologists often collect data in the field and, on returning to their laboratory, enter their data into a database for further analysis. The recent introduction of mobile phones that utilise the open source Android operating system, and which include (among other features) both GPS and Google Maps, provide new opportunities for developing mobile phone applications, which in conjunction with web applications, allow two-way communication between field workers and their project databases. Methodology Here we describe a generic framework, consisting of mobile phone software, EpiCollect, and a web application located within www.spatialepidemiology.net. Data collected by multiple field workers can be submitted by phone, together with GPS data, to a common web database and can be displayed and analysed, along with previously collected data, using Google Maps (or Google Earth). Similarly, data from the web database can be requested and displayed on the mobile phone, again using Google Maps. Data filtering options allow the display of data submitted by the individual field workers or, for example, those data within certain values of a measured variable or a time period. Conclusions Data collection frameworks utilising mobile phones with data submission to and from central databases are widely applicable and can give a field worker similar display and analysis tools on their mobile phone that they would have if viewing the data in their laboratory via the web. We demonstrate their utility for epidemiological data collection and display, and briefly discuss their application in ecological and community data collection. Furthermore, such frameworks offer great potential for recruiting ‘citizen scientists’ to contribute data easily to central databases through their mobile phone.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Estimating Prevalence Using an Imperfect Test

              The standard estimate of prevalence is the proportion of positive results obtained from the application of a diagnostic test to a random sample of individuals drawn from the population of interest. When the diagnostic test is imperfect, this estimate is biased. We give simple formulae, previously described by Greenland (1996) for correcting the bias and for calculating confidence intervals for the prevalence when the sensitivity and specificity of the test are known. We suggest a Bayesian method for constructing credible intervals for the prevalence when sensitivity and specificity are unknown. We provide R code to implement the method.
                Bookmark

                Author and article information

                Contributors
                machira.dickson@gmail.com
                bryony.armson@pirbright.ac.uk
                pkitala@uonbi.ac.ke
                beatriz.sanzbernardo@pirbright.ac.uk
                antonello.di-nardo@pirbright.ac.uk
                nicholas.Lyons@pirbright.ac.uk
                Journal
                Vet Res
                Vet. Res
                Veterinary Research
                BioMed Central (London )
                0928-4249
                1297-9716
                14 May 2019
                14 May 2019
                2019
                : 50
                : 33
                Affiliations
                [1 ]ISNI 0000 0001 2019 0495, GRID grid.10604.33, Department of Public Health, Pharmacology and Toxicology, Faculty of Veterinary Medicine, , University of Nairobi, ; P.O. Box 29053, 00625 Kangemi, Kenya
                [2 ]ISNI 0000 0004 0388 7540, GRID grid.63622.33, The Pirbright Institute, ; Ash Road, Pirbright, Woking, GU24 0NF UK
                [3 ]ISNI 0000 0001 2193 314X, GRID grid.8756.c, Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, , University of Glasgow, ; Graham Kerr Building, Glasgow, G12 8QQ UK
                [4 ]ISNI 0000 0004 1937 0300, GRID grid.420153.1, European Commission for the Control of Foot-and-Mouth Disease (EuFMD), , Food and Agriculture Organization of the United Nations, ; Viale delle Terme di Caracalla, Rome, Italy
                [5 ]ISNI 0000 0001 0431 4443, GRID grid.8301.a, Department of Veterinary Public Health, Pharmacology and Toxicology, Faculty of Veterinary Medicine and Surgery, , Egerton University, ; P.O. Box 536-20115, Egerton, Kenya
                Author information
                http://orcid.org/0000-0003-3198-122X
                Article
                652
                10.1186/s13567-019-0652-0
                6518695
                31088554
                67e3b095-977f-4a95-b5a1-749affb14782
                © The Author(s) 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 22 March 2019
                : 23 April 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000268, Biotechnology and Biological Sciences Research Council;
                Award ID: BB/E/I/00007004
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000277, Department for Environment, Food and Rural Affairs;
                Award ID: SE2943
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Veterinary medicine
                Veterinary medicine

                Comments

                Comment on this article