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 conferenceAbstract

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 languageEnglish
Pages154
Number of pages1
Publication statusPublished - 2018
Event15th International Symposium of Veterinary Epidemiology and Economics
- Chiang Mai, Thailand
Duration: 12 Nov 201816 Nov 2018

Conference

Conference15th International Symposium of Veterinary Epidemiology and Economics
CountryThailand
Period12/11/1816/11/18

Fingerprint

brucellosis
Pakistan
climate
burden of disease
prediction
monitoring
resource allocation
developing countries

Cite this

Silva, C. R., Arif, S., van Ogtrop, F. F., & Thomson, P. C. (2018). Using climate data to create prediction models for brucellosis prevalence in Pakistan. 154. Abstract from 15th International Symposium of Veterinary Epidemiology and Economics
, Thailand.
Silva, C.R. ; Arif, Shumaila ; van Ogtrop, F.F ; Thomson, Peter C. / Using climate data to create prediction models for brucellosis prevalence in Pakistan. Abstract from 15th International Symposium of Veterinary Epidemiology and Economics
, Thailand.1 p.
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Silva, CR, Arif, S, van Ogtrop, FF & Thomson, PC 2018, 'Using climate data to create prediction models for brucellosis prevalence in Pakistan' 15th International Symposium of Veterinary Epidemiology and Economics
, Thailand, 12/11/18 - 16/11/18, pp. 154.

Using climate data to create prediction models for brucellosis prevalence in Pakistan. / Silva, C.R.; Arif, Shumaila; van Ogtrop, F.F ; Thomson, Peter C.

2018. 154 Abstract from 15th International Symposium of Veterinary Epidemiology and Economics
, Thailand.

Research output: Other contribution to conferenceAbstract

TY - CONF

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

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Silva CR, Arif S, van Ogtrop FF, Thomson PC. Using climate data to create prediction models for brucellosis prevalence in Pakistan. 2018. Abstract from 15th International Symposium of Veterinary Epidemiology and Economics
, Thailand.