Geographic Spread of Infectious Diseases
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€77.99
A01=Lisa Sattenspiel
Antigenic drift
Antigenic shift
Antiviral drug
Attack rate
Author_Lisa Sattenspiel
Avian influenza
Basic reproduction number
Bayesian statistics
Case fatality rate
Category=MJCJ
Category=PBWH
Chlamydia infection
Choropleth map
Classical swine fever
Compartmental models in epidemiology
Complication (medicine)
Contagious disease
Coronavirus
Diagnosis of HIV/AIDS
Disease
Disease cluster
Disease Progression
Endemic (epidemiology)
Epidemic
Epidemic model
Epidemiological method
Epidemiology
Epidemiology of HIV/AIDS
eq_isMigrated=1
eq_nobargain
Eradication of infectious diseases
Fecal-oral route
Force of infection
Hepatitis A
Immunization
Incidence (epidemiology)
Indication (medicine)
Infection
Infection control
Infection rate
Infectious period
Infectivity
Influenza
Influenza pandemic
Influenza-like illness
Lyme disease
Malaria
Measles
Measles virus
Medical surveillance
Metapopulation
Outbreak
Pathogen
Pathology
Pneumonia
Population process
Prevalence
Probability
Public health
Ring vaccination
Sexually transmitted infection
Smallpox
Subclinical infection
Super-spreader
Symptom
Transmission (medicine)
Transmission of infection
Vaccination
Vaccination policy
Vaccination schedule
Vaccine
Viral disease
Visceral leishmaniasis
Waterborne diseases
World Health Organization
Product details
- ISBN 9780691121321
- Weight: 539g
- Dimensions: 152 x 235mm
- Publication Date: 26 Jul 2009
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Hardback
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The 1918-19 influenza epidemic killed more than fifty million people worldwide. The SARS epidemic of 2002-3, by comparison, killed fewer than a thousand. The success in containing the spread of SARS was due largely to the rapid global response of public health authorities, which was aided by insights resulting from mathematical models. Models enabled authorities to better understand how the disease spread and to assess the relative effectiveness of different control strategies. In this book, Lisa Sattenspiel and Alun Lloyd provide a comprehensive introduction to mathematical models in epidemiology and show how they can be used to predict and control the geographic spread of major infectious diseases. Key concepts in infectious disease modeling are explained, readers are guided from simple mathematical models to more complex ones, and the strengths and weaknesses of these models are explored. The book highlights the breadth of techniques available to modelers today, such as population-based and individual-based models, and covers specific applications as well.
Sattenspiel and Lloyd examine the powerful mathematical models that health authorities have developed to understand the spatial distribution and geographic spread of influenza, measles, foot-and-mouth disease, and SARS. Analytic methods geographers use to study human infectious diseases and the dynamics of epidemics are also discussed. A must-read for students, researchers, and practitioners, no other book provides such an accessible introduction to this exciting and fast-evolving field.
Lisa Sattenspiel is professor of anthropology at the University of Missouri. Alun Lloyd is associate professor of mathematics at North Carolina State University.
