Applications of Novel Analytical Methods in Epidemiology
The repertoire of quantitative analytical techniques in disciplines such as ecology, decision science, and evolutionary biology has grown, in part enabled by the development and increased availability of computational resources. Integration of cutting-edge, quantitative tools into veterinary epidemi...
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Superior document: | Frontiers Research Topics |
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Year of Publication: | 2018 |
Language: | English |
Series: | Frontiers Research Topics
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Physical Description: | 1 electronic resource (109 p.) |
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Moh A. Alkhamis auth Applications of Novel Analytical Methods in Epidemiology Frontiers Media SA 2018 1 electronic resource (109 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Frontiers Research Topics Open access Unrestricted online access star The repertoire of quantitative analytical techniques in disciplines such as ecology, decision science, and evolutionary biology has grown, in part enabled by the development and increased availability of computational resources. Integration of cutting-edge, quantitative tools into veterinary epidemiology that have been borrowed from such disciplines has offered opportunities to advance the study of disease dynamics in animal populations, to improve and guide decision-making related to disease prevention, control, or eradication. Furthermore, the need to explore new analytical methods for veterinary epidemiology has been driven by the increasing availability and complexity of animal disease data. The objective of this e-book is to contribute to current methods in epidemiology by 1) presenting and discussing novel analytical tools that help advance our understanding of epidemiology; and 2) demonstrating how inferences emerging from the application of novel analytical tools can be incorporated into decision-making related to animal health. The e-book constitutes a collection of articles that explore the applications of a variety of analytical methods such as machine learning, Bayesian risk assessment and an advanced form of social network analysis in the modern epidemiologic study of animal diseases. English Decision Making Risk Assessment social network analysis Spatial Epidemiology disease surveillance 2-88945-658-7 Victoria J. Brookes auth Kimberly VanderWaa auth |
language |
English |
format |
eBook |
author |
Moh A. Alkhamis |
spellingShingle |
Moh A. Alkhamis Applications of Novel Analytical Methods in Epidemiology Frontiers Research Topics |
author_facet |
Moh A. Alkhamis Victoria J. Brookes Kimberly VanderWaa |
author_variant |
m a a maa |
author2 |
Victoria J. Brookes Kimberly VanderWaa |
author2_variant |
v j b vjb k v kv |
author_sort |
Moh A. Alkhamis |
title |
Applications of Novel Analytical Methods in Epidemiology |
title_full |
Applications of Novel Analytical Methods in Epidemiology |
title_fullStr |
Applications of Novel Analytical Methods in Epidemiology |
title_full_unstemmed |
Applications of Novel Analytical Methods in Epidemiology |
title_auth |
Applications of Novel Analytical Methods in Epidemiology |
title_new |
Applications of Novel Analytical Methods in Epidemiology |
title_sort |
applications of novel analytical methods in epidemiology |
series |
Frontiers Research Topics |
series2 |
Frontiers Research Topics |
publisher |
Frontiers Media SA |
publishDate |
2018 |
physical |
1 electronic resource (109 p.) |
isbn |
2-88945-658-7 |
illustrated |
Not Illustrated |
work_keys_str_mv |
AT mohaalkhamis applicationsofnovelanalyticalmethodsinepidemiology AT victoriajbrookes applicationsofnovelanalyticalmethodsinepidemiology AT kimberlyvanderwaa applicationsofnovelanalyticalmethodsinepidemiology |
status_str |
n |
ids_txt_mv |
(CKB)4920000000094261 (oapen)https://directory.doabooks.org/handle/20.500.12854/41070 (EXLCZ)994920000000094261 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Frontiers Research Topics |
is_hierarchy_title |
Applications of Novel Analytical Methods in Epidemiology |
container_title |
Frontiers Research Topics |
author2_original_writing_str_mv |
noLinkedField noLinkedField |
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1796649061372133376 |
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