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[Computational-biology] Call for Applications: Malaria-Leishmaniasis Co-infection, a NIMBioS Investigative Workshop

Catherine Crawley via comp-bio%40net.bio.net (by ccrawley from nimbios.org)
Tue Oct 7 14:31:44 EST 2014

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

*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.


Catherine Crawley, Ph.D.
Communications Manager
National Institute for Mathematical and Biological Synthesis (NIMBioS) 
University of Tennessee 
1122 Volunteer Blvd, Ste. 106
Knoxville, TN 37996
e ccrawley from nimbios.org <mailto:ccrawley from nimbios.org> 
t +1 865 974 9350 <tel:+1%20865%20974%209350> 
f +1 865 974 9461 <tel:+1%20865%20974%209461> 
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