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NIMBioS Investigative Workshop: Malaria-Leishmaniasis Co-infection
United States - TN - Tennessee - Knoxville

Hosted by: National Institute for Mathematical and Biological Synthesis (NIMBioS)
Venue: NIMBioS at the University of Tennessee, Knoxville
Dates: May 26, 2015 through May 28, 2015

Early Registration Deadline: 2015-02-01
 
Description
 
The National Institute for Mathematical and Biological Synthesis (NIMBioS) is now accepting applications for its Investigative Workshop, "Malaria-Leishmaniasis Co-infection," to be held May 26-28, 2015, at NIMBioS.

Objectives: Disease-prevention, outbreak-control and health promotion are key functions of public health. Lacking on these fronts within the health system is the major concern for developing countries of controlling infectious diseases. Mathematical and statistical modeling has become an essential tool for the development of control strategies and for the evaluation of mechanisms driving disease dynamics. Key determinants of a given model’s potential to aid in such measures are the identifiability of the critical factors specific to a region and the availability of data to parameterize the model. For developing countries in particular, data are often sparse and difficult to collect and the public health infrastructure is largely dilapidated. It is therefore important to understand the public health conditions and challenges facing local populations and types of data that are necessary for a modeling project to be successful. Malaria and leishmaniasis are the two largest parasitic killers in the world. Due to geographic overlap of the diseases, co-infections exist in large population, but have been poorly investigated. The co-morbidities may result in a poorer prognosis due to the lack of early detection systems or inefficient diagnostic tests for co-infection. The focus of this workshop is to identify challenges for the control of malaria-leishmaniasis co-infections in South Asian and the African continent. The workshop will also model the complexity involved in the propagation of these co-infections in resource limited regions. The types of data needed to analyze co-infection models and associated uncertainty will be assessed. Experts will present field and quantitative challenges with persistence of co-infection cases of malaria and leishmaniasis.

Location: NIMBioS at the University of Tennessee, Knoxville

Co-Organizers: Anuj Mubayi (Mathematical Computational Modeling Science Center and School of Mathematical and Natural Sciences, Arizona State Univ.); Folashade Agusto (Mathematics & Statistics, Austin Peay State Univ., Clarksville, TN); Christopher Kribs-Zaleta (Mathematics, Univ. of Texas, Arlington); Ephantus J. Muturi (Medical Entomology Program, Illinois Natural History Survey, Univ. of Illinois, Urbana-Champaign); Niyamat Ali Siddiqui (Epidemiology and Biostatistics, Dept. of Health Research, Ministry of Health & Family Welfare, Patna-India)

For more information about the workshop and a link to the online application form, go to http://www.nimbios.org/workshops/WS_coinfection

Participation in the workshop is by application only. Individuals with a strong interest in the topic are encouraged to apply, and successful applicants will be notified within two weeks of the application deadline. If needed, financial support for travel, meals, and lodging is available for workshop attendees.

Application deadline: February 1, 2015

The National Institute for Mathematical and Biological Synthesis (NIMBioS) (http://www.nimbios.org) brings together researchers from around the world to collaborate across disciplinary boundaries to investigate solutions to basic and applied problems in the life sciences. NIMBioS is sponsored by the National Science Foundation, through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville.

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Additional Information
 
Event URL: http://www.nimbios.org/workshops/WS_coinfection
ISCB Member Discount: None
Contact Person: Catherine Crawley ([javascript protected email address])

While ISCB provides for conference and event listings that may be of interest to members and bioinformaticians at large, ISCB is not responsible for the content provided by outside sources. Such listings are not meant as an endorsement by ISCB.



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