-
Tytuł:
-
Policy, practice and decision making for zoonotic disease management: water and Cryptosporidium.
-
Autorzy:
-
Austin Z; Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK. Electronic address: .
Alcock RE; Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK.
Christley RM; National Centre for Zoonosis Research, University of Liverpool Veterinary School, Leahurst, Chester High Road, Neston, Wirral CH64 7TE, UK; Institute of Infection and Global Health, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, L69 7ZJ, UK.
Haygarth PM; Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK.
Heathwaite AL; Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK. Electronic address: .
Latham SM; National Centre for Zoonosis Research, University of Liverpool Veterinary School, Leahurst, Chester High Road, Neston, Wirral CH64 7TE, UK; Institute of Infection and Global Health, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, L69 7ZJ, UK.
Mort M; Department of Sociology and School of Medicine, Lancaster University, Lancaster, LA1 4YT, UK.
Oliver DM; Biological & Environmental Sciences, School of Natural Sciences, University of Stirling, Stirling, FK9 4LA, Scotland, UK.
Pickup R; Biomedical and Life Sciences Division, Faculty of Health and Medicine, Lancaster University, LA1 4YQ, UK.
Wastling JM; Institute of Infection and Global Health, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, L69 7ZJ, UK.
Wynne B; ESRC Centre for Economic and Social Aspects of Genomics, Cesagen, Lancaster University, LA1 4YD, UK.
-
Źródło:
-
Environment international [Environ Int] 2012 Apr; Vol. 40, pp. 70-78. Date of Electronic Publication: 2012 Jan 02.
-
Typ publikacji:
-
Journal Article; Research Support, Non-U.S. Gov't
-
Język:
-
English
-
Imprint Name(s):
-
Publication: : Amsterdam : Elsevier Science
Original Publication: Oxford; Elmsford, N. Y., Pergamon Press.
-
MeSH Terms:
-
Environmental Policy*
Cryptosporidiosis/*prevention & control
Cryptosporidium/*growth & development
Disease Outbreaks/*prevention & control
Drinking Water/*parasitology
Water Pollution/*prevention & control
Water Quality/*standards
Decision Making ; England ; Environment ; Humans ; Policy ; Politics ; Risk Assessment ; Risk Management ; Water Supply
-
Substance Nomenclature:
-
0 (Drinking Water)
-
Entry Date(s):
-
Date Created: 20120128 Date Completed: 20120607 Latest Revision: 20181201
-
Update Code:
-
20240104
-
DOI:
-
10.1016/j.envint.2011.11.006
-
PMID:
-
22280930
-
Decision making for zoonotic disease management should be based on many forms of appropriate data and sources of evidence. However, the criteria and timing for policy response and the resulting management decisions are often altered when a disease outbreak occurs and captures full media attention. In the case of waterborne disease, such as the robust protozoa, Cryptosporidium spp, exposure can cause significant human health risks and preventing exposure by maintaining high standards of biological and chemical water quality remains a priority for water companies in the UK. Little has been documented on how knowledge and information is translated between the many stakeholders involved in the management of Cryptosporidium, which is surprising given the different drivers that have shaped management decisions. Such information, coupled with the uncertainties that surround these data is essential for improving future management strategies that minimise disease outbreaks. Here, we examine the interplay between scientific information, the media, and emergent government and company policies to examine these issues using qualitative and quantitative data relating to Cryptosporidium management decisions by a water company in the North West of England. Our results show that political and media influences are powerful drivers of management decisions if fuelled by high profile outbreaks. Furthermore, the strength of the scientific evidence is often constrained by uncertainties in the data, and in the way knowledge is translated between policy levels during established risk management procedures. In particular, under or over-estimating risk during risk assessment procedures together with uncertainty regarding risk factors within the wider environment, was found to restrict the knowledge-base for decision-making in Cryptosporidium management. Our findings highlight some key current and future challenges facing the management of such diseases that are widely applicable to other risk management situations.
(Copyright © 2011 Elsevier Ltd. All rights reserved.)
