Literature DB >> 12159126

Epidemics: models and data.

D Mollison, V Isham, B Grenfell.   

Abstract

"The problems of understanding and controlling disease raise a range of challenging mathematical and statistical research topics, from broad theoretical issues to specific practical ones. In particular, recent interest in acquired immune deficiency syndrome has stimulated much progress in diverse areas of epidemic modelling, particularly with regard to the treatment of heterogeneity, both between individuals and in mixing of subgroups of the population. At the same time better data and data analysis techniques have become available, and there have been exciting developments in relevant theory.... This progress in specific areas is now being matched by interdisciplinary cooperation aimed at elucidating relationships between the widely varying types of model that have been found useful, to determine their strengths and limitations in relation to basic aims such as understanding, prediction, and evaluation and implementation of control strategies." excerpt

Entities:  

Keywords:  Acquired Immunodeficiency Syndrome; Data Analysis--changes; Data Collection; Demographic Factors; Diseases; Epidemics--prevention and control; Evaluation; Evaluation Methodology; Heterogeneity; Hiv Infections; Interdisciplinary Studies; Models, Theoretical; Population; Population Characteristics; Research Methodology; Viral Diseases; World

Mesh:

Year:  1994        PMID: 12159126

Source DB:  PubMed          Journal:  J R Stat Soc Ser A Stat Soc        ISSN: 0964-1998            Impact factor:   2.483


  8 in total

1.  When individual behaviour matters: homogeneous and network models in epidemiology.

Authors:  Shweta Bansal; Bryan T Grenfell; Lauren Ancel Meyers
Journal:  J R Soc Interface       Date:  2007-10-22       Impact factor: 4.118

2.  Trip duration modifies spatial spread of infectious diseases.

Authors:  Andrew W Park
Journal:  Proc Natl Acad Sci U S A       Date:  2020-08-24       Impact factor: 11.205

3.  Bayesian analysis of botanical epidemics using stochastic compartmental models.

Authors:  G J Gibson; A Kleczkowski; C A Gilligan
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-09       Impact factor: 11.205

4.  The importance of extended high viremics in models of HIV spread in South Africa.

Authors:  Benjamin Armbruster; Ekkehard C Beck; Mustafa Waheed
Journal:  Health Care Manag Sci       Date:  2013-06-11

5.  Deriving effective vaccine allocation strategies for pandemic influenza: Comparison of an agent-based simulation and a compartmental model.

Authors:  Özden O Dalgıç; Osman Y Özaltın; William A Ciccotelli; Fatih S Erenay
Journal:  PLoS One       Date:  2017-02-21       Impact factor: 3.240

6.  The Risk of Cross Infection in the Emergency Department: A Simulation Study.

Authors:  Vicki Stover Hertzberg; Yuke A Wang; Lisa K Elon; Douglas W Lowery-North
Journal:  Infect Control Hosp Epidemiol       Date:  2018-04-16       Impact factor: 3.254

7.  Estimating the probability of a major outbreak from the timing of early cases: an indeterminate problem?

Authors:  Meggan E Craft; Hawthorne L Beyer; Daniel T Haydon
Journal:  PLoS One       Date:  2013-03-06       Impact factor: 3.240

8.  Concurrency measures in the era of temporal network epidemiology: a review.

Authors:  Naoki Masuda; Joel C Miller; Petter Holme
Journal:  J R Soc Interface       Date:  2021-06-02       Impact factor: 4.118

  8 in total

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