Mathematical Epidemiology of the Respiratory                Viruses
{'Code': '08010207', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'DEB', 'LongName': 'Division Of Environmental Biology'}}
{'SignBlockName': 'Althea Ball', 'PO_EMAI': None, 'PO_PHON': None}
This research investigates the epidemiology of the                      respiratory viruses.  These viruses are the organisms that cause                the common cold and the flu, and are an important cause of                      illness in infants and young children.  The epidemiology of the                 respiratory viruses differs from that of childhood diseases such                as measles and chickenpox in that each person can become infected                                                                                               more than once with a given respiratory virus, whereas in                       diseases like measles a single infection induces a lifelong                     immunity to reinfection.  The consequences of such repeated                     infections have not been systematically studied, and that is the                goal of this research.  Mathematical models and computer                        simulations will be used to achieve this goal.                                          The concept of a threshold host population size is important                                                                                            in epidemiology.  This threshold is the smallest host community                 in which the disease can be maintained continuously--for example,                                                                                               measles cannot be maintained continuously in communities smaller                than roughly 300,000 individuals.  The existence of this                        threshold is one of the important predictions that has been                     derived from the current models, and it has been exploited in                   various ways to apply the current models to data.  By contrast, a               preliminary model investigated by Dr. Pease has no threshold host               population size.  The lack of a threshold seems to be related to                the fact that repeated infections with the respiratory viruses                  are possible.  Studying these models that lack a threshold host                 population size will challenge in a major way the existing                      theory.
{'FirstName': 'Craig', 'LastName': 'Pease', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Craig Pease', 'EmailAddress': 'cpease@vermontlaw.edu', 'NSF_ID': '000461655', 'StartDate': '09/01/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Texas at Austin', 'CityName': 'AUSTIN', 'ZipCode': '787121139', 'PhoneNumber': '5124716424', 'StreetAddress': '110 INNER CAMPUS DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_ORG': 'TX25', 'ORG_UEI_NUM': 'V6AFQPN18437', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF TEXAS AT AUSTIN', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '112700', 'Text': 'Evolutionary Processes'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8706729.xml'}