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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 :

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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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