Model framework and principles of emergency management

Murray, Gillian; McCutcheon, Samar

doi:10.20506/rst.18.1.1147

Cited by 20 publications

(8 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although not evaluated, the ongoing active serological monitoring is not expected to markedly influence detection currently in Finland. The time between introduction of the virus to the first farm and the first detection of an infected farm have a major influence on the final size and duration of an epidemic [5]. The time between introduction of the virus to the first farm and the first detection of an infected farm have a major influence on the final size and duration of an epidemic [5].…”

Section: Detection Of Csfmentioning

confidence: 99%

Simulated detection of syndromic classical swine fever on a Finnish pig-breeding farm

Raulo¹,

Lyytikäinen

2006

Epidemiol. Infect.

View full text Add to dashboard Cite

Although Finland has not experienced a classical swine fever (CSF) epidemic since 1917, the concern about early detection is relevant. The time until detection of CSF on a pig-breeding farm was predicted by simulation, and earlier detection of CSF-infected farms was assessed. Eight to 12 weeks will pass before CSF is detected on a Finnish pig-breeding farm, which resembles detection of the index farm for actual CSF epidemics in Europe. Although notification of suspected CSF on the infected farm accelerates detection the most, interventions aimed at promoting investigations of the general health problem noticed on the farm, or a more comprehensive testing of samples currently arriving from pig farms to the investigating laboratory could shorten detection time by 3 weeks. Results are applicable for further simulation of an event of a CSF epidemic in Finland, and for studying contingency options to promote more rapid detection of infectious diseases of swine not found at present in the country.

show abstract

Section: Detection Of Csfmentioning

confidence: 99%

Simulated detection of syndromic classical swine fever on a Finnish pig-breeding farm

Raulo¹,

Lyytikäinen

2006

Epidemiol. Infect.

View full text Add to dashboard Cite

show abstract

“…were culled pre-emptively as dangerous contacts, or due to their close proximity to confirmed cases, but were subsequently confirmed as not infected (Paton, 2002). Early detection is key to ensuring that control measures will minimise the spread and the impact of such devastating diseases (Murray and McCutcheon, 1999). Identification of CSFV as the etiological agent of some recent outbreaks has taken two months or more after the virus was introduced.…”

Section: Introductionmentioning

confidence: 99%

Characterisation of experimental infections of domestic pigs with genotype 2.1 and 3.3 isolates of classical swine fever virus

Everett¹,

Salguero²,

Graham³

et al. 2010

Veterinary Microbiology

View full text Add to dashboard Cite

show abstract

“…Disaster management activities include risk communication, regulating environmental conditions, minimizing and detecting disease threats and outbreaks, planning for emergency medical and public health response capacities, and preventing secondary emergencies following a disaster (Salinsky 2002). Disaster management teams must address a complex emergency situation in the most humane and respectful way possible for all the parties involved-human, animal and environment (Murray and McCutcheon 1999). The experience and skills of the social, behavioral and health sciences, prevention and surveillance, risk communication, data gathering, architecture and planning, environmental sciences, engineering, and public safety are commonly required in traditional disaster management.…”

Section: Animal Disaster Ethics: Developing Disaster Frameworkmentioning

confidence: 99%

Reimagining Human Responsibility Towards Animals for Disaster Management in the Anthropocene

Vieira¹,

Anthony

2021

The International Library of Environmental, Agricultural and Food Ethics

View full text Add to dashboard Cite

Animals, like human beings, are prone to suffering harms, such as disease, injury and death, as a result of anthropogenic and natural disasters. Animals are disproportionately prone to risk and adversely affected by disasters, and thus require humane and respectful care when disasters strike, due to socially situated vulnerabilities based on how human communities assess and value their moral standing and function. The inability to integrate animals into disaster risk and management practices and processes can sometimes be associated with a lack of understanding about what animal ethics and animal health and welfare require when designing disaster management programs. This chapter seeks to reimagine human responsibility towards animals for disaster management. The pervasiveness of disasters and their impacts on animals, human-animal and animal-environment relationships underscore the importance of effective animal disaster management supported by sound ethical decision-making processes. To this end, we delineate six ethically responsible animal caretaking aims for consideration when developing disaster management plans and policies. These aims, which address central vulnerabilities experienced by domesticated animals during disasters, are meant to be action-guiding within the disaster management context. They include: (1) Save lives and mitigate harm; (2) Protect animal welfare and respect animals’ experiences; (3) Observe, recognize and promote distributive justice; (4) Advance public involvement; (5) Empower caregivers, guardians, owners and community members; (6) Bolster public health and veterinary community professionalism, including engagement in multidisciplinary teams and applied scientific developments. To bring about these aims, we offer a set of practical and straightforward action steps for animal caregivers and disaster management teams to ensure that animals’ interests are systematically promoted in disaster management. They include: (1) Respect and humane treatment; (2) Collaboration and effective disaster communication; (3) Strengthening systems of information sharing, surveillance, scientific research, management and training; (4) Community outreach and proactive contact; (5) Cultural sensitivity and attitudes check, and (6) Reflection, review and reform.

show abstract

Model framework and principles of emergency management

Cited by 20 publications

References 0 publications

Simulated detection of syndromic classical swine fever on a Finnish pig-breeding farm

Simulated detection of syndromic classical swine fever on a Finnish pig-breeding farm

Characterisation of experimental infections of domestic pigs with genotype 2.1 and 3.3 isolates of classical swine fever virus

Reimagining Human Responsibility Towards Animals for Disaster Management in the Anthropocene

Contact Info

Product

Resources

About