Using climate data to create prediction models for brucellosis prevalence in Pakistan

C.R. Silva; Shumaila Arif; F.F  van Ogtrop; Peter C. Thomson

Using climate data to create prediction models for brucellosis prevalence in Pakistan

C.R. Silva, Shumaila Arif, F.F van Ogtrop, Peter C. Thomson

Research output: Other contribution to conference › Abstract › peer-review

Abstract

Mapping disease burden across a large geographic area is problematic in terms of the need for extensive on-the-ground field surveillance. However, new freely-available global fine-scale geographic and climate data may be able to assist in this process. This has particular potential for disease mapping in developing countries where local disease information is often lacking but nonetheless there is a need for this to inform authorities to assist in monitoring and resource allocation.

Original language	English
Pages	154
Number of pages	1
Publication status	Published - 2018
Event	15th International Symposium of Veterinary Epidemiology and Economics - Chiang Mai, Thailand Duration: 12 Nov 2018 → 16 Nov 2018

Conference

Conference	15th International Symposium of Veterinary Epidemiology and Economics
Country/Territory	Thailand
Period	12/11/18 → 16/11/18

Cite this

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title = "Using climate data to create prediction models for brucellosis prevalence in Pakistan",

abstract = "Mapping disease burden across a large geographic area is problematic in terms of the need for extensive on-the-ground field surveillance. However, new freely-available global fine-scale geographic and climate data may be able to assist in this process. This has particular potential for disease mapping in developing countries where local disease information is often lacking but nonetheless there is a need for this to inform authorities to assist in monitoring and resource allocation.",

keywords = "Equine, zoonosis, One Health",

author = "C.R. Silva and Shumaila Arif and {van Ogtrop}, F.F and Thomson, {Peter C.}",

year = "2018",

language = "English",

pages = "154",

note = "15th International Symposium of Veterinary Epidemiology and Economics<br/> ; Conference date: 12-11-2018 Through 16-11-2018",

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T1 - Using climate data to create prediction models for brucellosis prevalence in Pakistan

AU - Silva, C.R.

AU - Arif, Shumaila

AU - van Ogtrop, F.F

AU - Thomson, Peter C.

PY - 2018

Y1 - 2018

N2 - Mapping disease burden across a large geographic area is problematic in terms of the need for extensive on-the-ground field surveillance. However, new freely-available global fine-scale geographic and climate data may be able to assist in this process. This has particular potential for disease mapping in developing countries where local disease information is often lacking but nonetheless there is a need for this to inform authorities to assist in monitoring and resource allocation.

AB - Mapping disease burden across a large geographic area is problematic in terms of the need for extensive on-the-ground field surveillance. However, new freely-available global fine-scale geographic and climate data may be able to assist in this process. This has particular potential for disease mapping in developing countries where local disease information is often lacking but nonetheless there is a need for this to inform authorities to assist in monitoring and resource allocation.

KW - Equine

KW - zoonosis

KW - One Health

M3 - Abstract

SP - 154

T2 - 15th International Symposium of Veterinary Epidemiology and Economics<br/>

Y2 - 12 November 2018 through 16 November 2018

ER -

Using climate data to create prediction models for brucellosis prevalence in Pakistan

Abstract

Conference

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Cite this