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Tag: infectious disease

Beyond the spore, the exosporium sugar anthrose impacts vegetative Bacillus anthracis gene regulation in cis and trans

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NORRIS, METRAILER, JIRANANTASAK, BLACKBURN – Beyond the spore, the exosporium sugar anthrose impacts vegetative Bacillus anthracis gene regulation in cis and trans Michael Norris, Andrew Bluhm, Morgan Metrailer, Treenate Jiranantasak, Alexander Kirpich, Ted Hadfield, Jose Miguel Ponciano, Jason Blackburn Article first published online: 28 March 2023 DOI: https://doi.org/10.1038/s41598-023-32162-x ABSTRACT: The Bacillus anthracis exosporium nap is the […]

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Distribution of Serological Response to Burkholderia pseudomallei in Swine from Three Provinces of Vietnam

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BLACKBURN, NORRIS – Distribution of Serological Response to Burkholderia pseudomallei in Swine from Three Provinces of Vietnam Michael H. Norris, Hang Thi Thu Tran, Morgan A. Walker, Andrew P. Bluhm, Diansy Zincke, Trinh Thanh Trung, Nga Vu Thi, Ngoc Pham Thi, Herbert P. Schweizer, Fred Unger, Jason K. Blackburn, and Nguyen Thi Thu Hang Article […]

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Geography Colloquium: GIS-Based Data-Driven Techniques for Spatial Analysis of Infectious Diseases at the State, Regional, and National Levels

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GIS-Based Data-Driven Techniques for Spatial Analysis of Infectious Diseases at the State, Regional, and National Levels Speaker: Mr. Abolfazl Mollalo PhD Candidate, Department of Geography, University of Florida Thursday, February 14, 2018 2:50-3:50 PM (Period 8) Turlington Hall Room 3012 University of Florida All are welcome to attend.

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New research models temperature-driven Zika, dengue, and chikungunya transmission

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  GAINESVILLE, FL – New research co-authored by UF Geography’s Dr. Sadie Ryan and Ms. Cat Lippi sheds light on the climate suitability for Aedes aegypti and Aedes albopictus mosquitos and transmission rates of Zika, chikungunya, and dengue fever. The study, published in PLOS Neglected Tropical Diseases compares new data driven models of Zika, chikungunya, and dengue […]

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Predicting Self-Initiated Preventive Behavior Against Epidemics with an Agent-Based Relative Agreement Model

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MAO – Predicting Self-Initiated Preventive Behavior Against Epidemics with an Agent-Based Relative Agreement Model Liang Mao Article first published online: 31 Oct 2015 Journal of Artificial Societies and Social Simulation DOI: 10.18564/jasss.2892 ABSTRACT: Human self-initiated behavior against epidemics is recognized to have significant impacts on disease spread. A few epidemic models have incorporated self-initiated behavior, and most of […]

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