Literature DB >> 20800928

Never mind the length, feel the quality: the impact of long-term epidemiological data sets on theory, application and policy.

Pejman Rohani1, Aaron A King.   

Abstract

Infectious diseases have been a prime testing ground for ecological theory. However, the ecological perspective is increasingly recognized as essential in epidemiology. Long-term, spatially resolved reliable data on disease incidence and the ability to test them using mechanistic models have been critical in this cross-fertilization. Here, we review some of the key intellectual developments in epidemiology facilitated by long-term data. We identify research frontiers at the interface of ecology and epidemiology and their associated data needs.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20800928      PMCID: PMC2949056          DOI: 10.1016/j.tree.2010.07.010

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  74 in total

1.  Ecological interference between fatal diseases.

Authors:  P Rohani; C J Green; N B Mantilla-Beniers; B T Grenfell
Journal:  Nature       Date:  2003-04-24       Impact factor: 49.962

2.  HIV dynamics with multiple infections of target cells.

Authors:  Narendra M Dixit; Alan S Perelson
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-31       Impact factor: 11.205

3.  Towards a quantitative understanding of the within-host dynamics of influenza A infections.

Authors:  Andreas Handel; Ira M Longini; Rustom Antia
Journal:  J R Soc Interface       Date:  2009-05-27       Impact factor: 4.118

4.  Small-amplitude cycles emerge from stage-structured interactions in Daphnia-algal systems.

Authors:  Edward McCauley; William A Nelson; Roger M Nisbet
Journal:  Nature       Date:  2008-10-30       Impact factor: 49.962

5.  Chaos versus noisy periodicity: alternative hypotheses for childhood epidemics.

Authors:  L F Olsen; W M Schaffer
Journal:  Science       Date:  1990-08-03       Impact factor: 47.728

6.  Chaos and biological complexity in measles dynamics.

Authors:  B M Bolker; B T Grenfell
Journal:  Proc Biol Sci       Date:  1993-01-22       Impact factor: 5.349

7.  Cross-protective immunity can account for the alternating epidemic pattern of dengue virus serotypes circulating in Bangkok.

Authors:  B Adams; E C Holmes; C Zhang; M P Mammen; S Nimmannitya; S Kalayanarooj; M Boots
Journal:  Proc Natl Acad Sci U S A       Date:  2006-09-11       Impact factor: 11.205

8.  Travelling waves in the occurrence of dengue haemorrhagic fever in Thailand.

Authors:  Derek A T Cummings; Rafael A Irizarry; Norden E Huang; Timothy P Endy; Ananda Nisalak; Kumnuan Ungchusak; Donald S Burke
Journal:  Nature       Date:  2004-01-22       Impact factor: 49.962

9.  Quantifying the treatment efficacy of reverse transcriptase inhibitors: new analyses of clinical data based on within-host modeling.

Authors:  Romulus Breban; Sonia Napravnik; James Kahn; Sally Blower
Journal:  BMC Public Health       Date:  2009-11-18       Impact factor: 3.295

10.  Estimating the duration of pertussis immunity using epidemiological signatures.

Authors:  Helen J Wearing; Pejman Rohani
Journal:  PLoS Pathog       Date:  2009-10-30       Impact factor: 6.823

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  11 in total

1.  Stochastic environmental fluctuations drive epidemiology in experimental host-parasite metapopulations.

Authors:  Alison B Duncan; Andrew Gonzalez; Oliver Kaltz
Journal:  Proc Biol Sci       Date:  2013-08-21       Impact factor: 5.349

2.  Core pertussis transmission groups in England and Wales: A tale of two eras.

Authors:  Ana I Bento; Maria A Riolo; Yoon H Choi; Aaron A King; Pejman Rohani
Journal:  Vaccine       Date:  2018-02-01       Impact factor: 3.641

3.  Individual and population-level impacts of an emerging poxvirus disease in a wild population of great tits.

Authors:  Shelly Lachish; Michael B Bonsall; Becki Lawson; Andrew A Cunningham; Ben C Sheldon
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

Review 4.  Frontiers in climate change-disease research.

Authors:  Jason R Rohr; Andrew P Dobson; Pieter T J Johnson; A Marm Kilpatrick; Sara H Paull; Thomas R Raffel; Diego Ruiz-Moreno; Matthew B Thomas
Journal:  Trends Ecol Evol       Date:  2011-04-12       Impact factor: 17.712

5.  How to make epidemiological training infectious.

Authors:  Steve E Bellan; Juliet R C Pulliam; James C Scott; Jonathan Dushoff
Journal:  PLoS Biol       Date:  2012-04-03       Impact factor: 8.029

Review 6.  Identifying climate drivers of infectious disease dynamics: recent advances and challenges ahead.

Authors:  C Jessica E Metcalf; Katharine S Walter; Amy Wesolowski; Caroline O Buckee; Elena Shevliakova; Andrew J Tatem; William R Boos; Daniel M Weinberger; Virginia E Pitzer
Journal:  Proc Biol Sci       Date:  2017-08-16       Impact factor: 5.349

7.  Inferring epidemiological parameters from phylogenies using regression-ABC: A comparative study.

Authors:  Emma Saulnier; Olivier Gascuel; Samuel Alizon
Journal:  PLoS Comput Biol       Date:  2017-03-06       Impact factor: 4.475

8.  Detecting within-host interactions from genotype combination prevalence data.

Authors:  Samuel Alizon; Carmen Lía Murall; Emma Saulnier; Mircea T Sofonea
Journal:  Epidemics       Date:  2019-06-18       Impact factor: 4.396

Review 9.  Modeling infectious disease dynamics in the complex landscape of global health.

Authors:  Hans Heesterbeek; Roy M Anderson; Viggo Andreasen; Shweta Bansal; Daniela De Angelis; Chris Dye; Ken T D Eames; W John Edmunds; Simon D W Frost; Sebastian Funk; T Deirdre Hollingsworth; Thomas House; Valerie Isham; Petra Klepac; Justin Lessler; James O Lloyd-Smith; C Jessica E Metcalf; Denis Mollison; Lorenzo Pellis; Juliet R C Pulliam; Mick G Roberts; Cecile Viboud
Journal:  Science       Date:  2015-03-13       Impact factor: 47.728

10.  Improving the modeling of disease data from the government surveillance system: a case study on malaria in the Brazilian Amazon.

Authors:  Denis Valle; James Clark
Journal:  PLoS Comput Biol       Date:  2013-11-07       Impact factor: 4.475

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