Source: CORNELL UNIVERSITY submitted to
EPIDEMIOLOGIC STUDIES ON INFECTIOUS AND NON-INFECTIOUS CONDITIONS
Sponsoring Institution
Cooperating Schools of Veterinary Medicine
Project Status
REVISED
Funding Source
Reporting Frequency
Annual
Accession No.
0155612
Grant No.
(N/A)
Project No.
NYCV-478344
Proposal No.
(N/A)
Multistate No.
(N/A)
Program Code
(N/A)
Project Start Date
Apr 1, 1991
Project End Date
Mar 31, 2015
Grant Year
(N/A)
Project Director
Mohammed, HU.
Recipient Organization
CORNELL UNIVERSITY
(N/A)
ITHACA,NY 14853
Performing Department
Population Medicine And Diagnostic Sciences
Non Technical Summary
We are proposing a novel and interdisciplinary research program in public health. The program will focus on scientific approaches to zoonotic disease control and critical result-driven prevention. Through this research we hope to provide the knowledge and skills necessary to develop cost effective interventions to promote health.
Animal Health Component
100%
Research Effort Categories
Basic
(N/A)
Applied
(N/A)
Developmental
(N/A)
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
31138102090100%
Goals / Objectives
The goals of these projects are to carry out epidemiologic studies on infectious and non-infectious conditions in animals and the environment for the purpose of promoting health and sustaining economic viability. These studies will be carried out within the context of my interests in production medicine, infectious and non-infectious diseases, quantitative epidemiology, food safety, veterinary public health, and risk analysis. Examples that reflect the breadth and nature of activities that I embrace include training grant in molecular epidemiology, risk assessment of Cryptosporidium parvum in watersheds, epidemiology of equine motor neuron disease, and pre-harvest food safety (listeriosis and toxoplasmosis).
Project Methods
These studies will be carried out using epidemiologic and molecular approaches. The epidemiologic approaches will focus on collecting data on putative risk factors that are associated with or promote the perpetuation of these conditions in the targeted populations. Uni- and multivariate statistical methods will be used to develop correct inferences from the collected data. The diagnostic methods will include such techniques as serologic, PCR, and biochemical analyses.