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Modelling Impacts To Livestock Risk
Committed To Securing Livelihoods
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Modelling Animals Husbandry Risks
Recognition of the fact that individual health depends on the people and animals around us, and the environment in which we develop. Achieving comprehensive health requires sustained actions for improved quality of life, human as well as that of domesticated species and the ecosystems of which we form part of. In this line of thinking, disaster risk management should also include measures to attend to animals—whether production or companions—during a catastrophe. Livestock represents 40% of the global value of agricultural production and is the mainstay of livelihoods and food security for almost more than a billion people. Livestock refers here to both rustic and intensive production. Rustic, artisanal or backyard production, which applies little or no technology, lacks infrastructure, and given the absence of good practices of animal raising, furthers the appearance and spread of diseases.
Intensive livestock production, which modifies production systems to supply an ever-growing human population that demands more and more animal protein, can also place public and animal health at risk if the necessary biosafety measures are not applied. So clearly disaster response cannot be limited to saving human lives alone. It must also protect and reinforce the livelihoods of the affected populations. Catastrophe risk management means strengthen and protecting livelihoods and productive assets, including livestock, working animals, tools and seeds. Thus, animal welfare is vital to disaster risk management and reduction. It lowers vulnerability and increases resilience by significantly reducing the suffering of a community, accelerates time to rehabilitation and recovery, while lowering subsequent dependence on humanitarian relief.












Modelling Catastrophes Impacting Animal Husbandry
Modelled Regions :
Click a region to see countries or islands where courage is available.
North America
Europe
Middle East
Central America & Caribbean
Asia & Pacific
Latin America
Africa
Australia
North America
Canada
United States
Mexico
Central America
Belize
Costa Rica
El Salvador
Honduras
Nicaragua
Panama
Caribbean
The Greater Antilles
Cuba
Puerto Rico
Jamaica
Cayman Islands
Hispaniola:
Haiti
Dominican Republic
Lucayan Archipelago
Bahamas
Turks and Caicos Islands
Lesser Antilles (Leeward Islands)
Anguilla (UK)
Saint Martin (Fr.)
Sint Maarten (Neth.)
Saint-Barthélemy (Fr.)
Saba (Neth.)
Sint Eustatius (Neth.)
Saint Kitts
Nevis
Antigua
Barbuda
Redonda
Bermuda
Montserrat (UK)
Guadeloupe (Fr.)
La Désirade (Fr.)
Marie-Galante (Fr.)
Les Saintes archipelago (Fr.)
St. Thomas (US VI)
St. John (US VI)
St. Croix (US VI)
Water Island (US VI)
Tortola (UK VI)
Virgin Gorda (UK VI)
Anegada (UK VI)
Jost Van Dyke (UK VI)
Aruba (Neth.)
Curaçao (Neth.)
Bonaire (Neth.)
La Orchila
La Tortuga
La Blanquilla
Margarita Island
Coche
Cubagua
Los Roques Archipelago
Lesser Antilles (Windward Islands)
Dominica
Martinique (Fr.)
Saint Lucia
Barbados
Saint Vincent
Grenadines
Carriacou
Petite Martinique
Grenada
Trinidad
Tobago
South America
Argentina
Bolivia
Chile
Cayman Islands
Colombia
Ecuador
Guyana
Guiana (Fr.)
Paraguay
Peru
Suriname
Uruguay
Venezuela
Europe
Andorra
Austria
Belgium
Bulgaria
Czech Republic
Denmark
Estonia
Finland
France
Germany
Greece
Hungary
Iceland
Ireland
Italy
Latvia
Liechtenstein
Lithuania
Luxembourg
Malta
Monaco
Netherlands
Norway
Poland
Russia
Spain
Sweden
Switzerland
Turkey
United Kingdom
Vatican City
Asia & Pacific
East Asia
China
Hong Kong (China)
Macau (China)
Japan
North Korea
South Korea
Taiwan
South Asia
Bangladesh
India
Maldives
Sri Lanka
South Asia
Brunei
Cambodia
Indonesia
Laos
Malaysia
Myanmar
Philippines
Singapore
Thailand
Timor-Leste
Vietnam
Australasia
Australia
New Zealand
Melanesia
Fiji
New Caledonia (Fr)
Papua New Guinea
Solomon Islands
Vanuatu
Micronesia
Guam (US)
Kiribati
Marshall Islands
Nauru
Northern Mariana Islands (US)
Wake Island (US)
Polynesia
American Samoa (US)
Cook Islands (NZ)
Easter Island (Ch)
French Polynesia (Fr)
Niue (NZ)
Norfolk Island (A)
Tonga
Tuvalu
Samoa
Wallis and Futuna (Fr)
Livestock Vulnerability, Exposure & Risk Impact Modelling







Datadriven Livestock Models
Livestock contribution to the economy, food security, livelihood, etc. should not be underestimated. Livestock have countless functions, they have direct economic value and a multiplicity of indirect values, for farming, nutritional, savings, transportation and cultural value. They can also be a guarantee to obtain loans and a safety net during times of crisis. When animals are lost in natural disasters their value can be incorporated in the indirect losses. However, this can be more difficult to observe yet is it can sometimes be more significant than (other) direct financial losses. Furthermore, the economic repercussion of non-epidemic or epidemic disasters should not be regarded as less important, because the focus is usually on catastrophes and emergencies of an epidemic type. However, a non-epidemic disasters can be lethal (creating disease in) (to) a large quantity of animals. Natural disasters such as, volcanoes, floods, droughts, wildfires, cyclones can all lead to epidemic disasters in animals with ofcourse economic consequences.
Quantifying Livestock Risks & Losses
Our team at Infinite Observations can identify and assist in the quantification of cost-benefit analysis of interventions through our assessment, analytical, visualization, management and operational tools and help mitigate the economic impact regarding livestock. We can help develop risk control practices and alternative approaches. Estimating damages caused by localized, small-scale extensive disasters (low intensity and high frequency) that can be economically debilitating can be challenging as opposed to high-intensity and low-recurrence (intensive risk) disasters. The economic losses from livestock can be determined implicitly or explicitly when reporting (direct or indirect) losses related to contents, inventory, business disruption, etc. To mitigate losses resulting livestock, spatial and temporal factors are crucial. Other factors such as seasonality, building codes, regulation and practices as well as industry are also be taken into account.








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