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Training Sessions in Field and Analytical Methods |
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OVERVIEW |
| The goal of this session was to introduce students to the School’s capabilities in information technology and management through a focused exercise in landscape epidemiology. Dr. Durland Fish, Professor of Epidemiology, designed the session’s field component. The Co-Directors of this program were Dr. Paul Draghi, Director of Information and Library Systems and Lecturer in Forest History at the School of Forestry and Environmental Studies, and Dr. Russell Barbour, Research Associate in the Department of Epidemiology & Public Health. |
| OBJECTIVE
Infectious diseases are important processes
in many ecosystems. Microbial pathogens can have a regulatory effect upon
host populations of both plants and animals, and in extreme situations
can drastically modify the landscape (for example, chestnut blight in North
America, and rabbit myxoma virus in Australia).
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"Hot Zone" Field Tent |
STUDENT FIELD ACTIVITIES
| Under the direction of Dr. Fish, students learned the basic methods of field collection of vector arthopods. These methods include flagging for ticks, trapping rodents, human baiting, and the use of light and CO2 traps for the collection of mosquitoes. |
Setting Light Traps |
Setting Mouse Traps |
Collecting Ticks |
Dr. Barbour assisted in demonstrating mapping methods and spatial modeling of the data collected in computer exercises. |
Setting Transects |
Collecting Mosquitoes |
Collecting Vital Statistics |
Students were also instructed on appropriate biosafety measures for procedures
that involve risk of exposure to human pathogens.
Dark field microscopy was used to determine infection rates for ticks infected with B. burgdorferi bacteria. |
Anesthetizing Mice |
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Mosquito Identification Lab |
ANALYTICAL METHODS
Paul Draghi and Russell Barbour introduced students to the computer
and software capabilities that are available at the School of Forestry
and Environmental Studies. This included
ARCView,
the most widely used GIS software, Hampson-Russell
GEOSTAT, a spatial statistics software package and several other
parametric statistical software packages. The analytical component of this
session was conducted in the FES GIS Lab in Sage Hall room 31.