Dr. Greg Glass

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Dr. Greg Glass

Professor

gglass@ufl.edu

Focus Areas

Areas of Specialization

  • Medical Geography
  • Risk factor analysis
  • Vector-borne and Zoonotic Diseases

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Educational Background

  • Post-Doctoral Fellow in Immunology & Infectious Diseases, Johns Hopkins University, 1986
  • PhD in Systematics & Ecology, University of Kansas, 1983
  • MPhil in Systematics & Ecology, University of Kansas, 1981
  • M.A. in Systematics & Ecology, University of Kansas, 1979
  • B.A. in Biology, Boston University, 1974

Recent Courses

  • Advanced Research Methods in Medical Geography & Spatial Epidemiology
  • Biology of Public Health
  • Public Health Ecology
  • GIS & Spatial Statistics

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Current Graduate Students

PhD

Masters

Students Recently Graduated

  • Dr. Ubydul Haque – Research Associate, CDC
  • Dr. Barbara Ellis – Deputy Director Public Health Preparedness, CDC
  • Dr. Erik Hofmeister – Veterinary Medical Officer, USGS
  • Dr. Martin Sanders – Deputy Director Occupational Preparedness, CDC
  • Dr. William Nicholson – Branch Chief Viral & Rickettsial Zoonoses, CDC
  • Dr. Brian Bird – Res. Scientist, Special Pathogens Branch, CDC
  • Dr. Sabra Klein – Associate Professor, Johns Hopkins University
  • Dr. Scott Shone – Director Newborn Screening, NJ Dept. Health
  • Dr. Mark DiMenna – Deputy Director Vector borne Diseases; Bernallio Co,NM
  • Dr. Julie Clennon – Research Associate, Emory University
  • Dr. Michael Johansson – Research Scientist, Dengue Branch CDC
  • Dr. Veronica Andreo –PDF, Univ Nacional de Río Cuarto, Argentina

In My Own Words

My lab focuses on understanding the bases of infectious disease systems; the agents, hosts, and environmental sources. We are especially interested in characterizing how changes in environmental conditions over space and time alter the patterns of disease that we see. These patterns often provide key clues to identify what triggers disease emergence/outbreaks and may give us clues for intervention and prevention. In a broader sense, we use this information to assess how well regional and national health care programs work to improve the health of people and animals. We combine data from numerous sources, including remotely sensed imagery with epidemiologic studies in statistical analyses. Our goal is to find ways to anticipate and intervene to prevent large-scale disease outbreaks before they happen.

Recent Publications

2014 Wasif A. Khan; Sean R. Galagan; Chai Shwai Prue; Jacob Khyang; Sabeena Ahmed; Malathi Ram; Mohammad Shafiul Alam; M. Zahirul Haq; Jasmin Akter; Gregory Glass; Douglas E. Norris; Timothy Shields; David A. Sack; David J. Sullivan Jr.; Myaing M. Nyunt Asymptomatic Plasmodium falciparum malaria in pregnant women in the Chittagong Hill Districts of Bangladesh. PLoS ONE. 2014;9(5).

2014 Victor M Mukonka; Emmanuel Chanda; Ubydul Haque; Mulakwa Kamuliwo; Gabriel Mushinge; Jackson Chileshe; Kennedy A Chibwe; Douglas E Norris; Modest Mulenga; Mike Chaponda; Mbanga Muleba; Gregory E Glass; William J Moss High burden of malaria following scale-up of control interventions in Nchelenge District, Luapula Province, Zambia. Malaria Journal. 2014;13(1).

2014 Ubydul Haque; Hans J Overgaard; Archie C A Clements; Douglas E Norris; Nazrul Islam; Jahirul Karim; Shyamal Roy; Waziul Haque; Moktadir Kabir; David L Smith; Gregory E Glass Malaria burden and control in Bangladesh and prospects for elimination: An epidemiological and economic assessment. The Lancet Global Health. 2014;2(2):e98-e105.

Recent Research Grants

 

 

2010-2016 NIH 1U19AI089680-01

Malaria Transmission and the Impact of Control Efforts in Southern Africa

2011-2016 NIH    U54 HD070725-01

Johns Hopkins Global Center on Childhood Obesity

2012-2015 SRI     subcontract

Mapping especially dangerous pathogens in the Ukraine.

2010-2015       NIH     T32 AI007417

Training in Molecular and Cellular Bases of Infectious Disease

2010-2015 NSF 0955897

EcoHealthNet: Ecology, environmental science and health research network

2009-2014             Bill and Melinda Gates Foundation Global Health

Predicting dengue epidemics with entomological and virological surveillance by xenomonitoring

 

 

 

 

 

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