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Seven challenges for modelling indirect transmission : vector-borne diseases, macroparasites and neglected tropical diseases
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Hollingsworth, T. Déirdre, Pulliam, Juliet Rachel Crowder, Funk, S., Truscott, James E., Isham, Valerie and Lloyd, Alun L. (2015) Seven challenges for modelling indirect transmission : vector-borne diseases, macroparasites and neglected tropical diseases. Epidemics, Volume 10 . pp. 16-20. doi:10.1016/j.epidem.2014.08.007 ISSN 1755-4365.
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Official URL: http://dx.doi.org/10.1016/j.epidem.2014.08.007
Abstract
Many of the challenges which face modellers of directly transmitted pathogens also arise when modelling the epidemiology of pathogens with indirect transmission – whether through environmental stages, vectors, intermediate hosts or multiple hosts. In particular, understanding the roles of different hosts, how to measure contact and infection patterns, heterogeneities in contact rates, and the dynamics close to elimination are all relevant challenges, regardless of the mode of transmission. However, there remain a number of challenges that are specific and unique to modelling vector-borne diseases and macroparasites. Moreover, many of the neglected tropical diseases which are currently targeted for control and elimination are vector-borne, macroparasitic, or both, and so this article includes challenges which will assist in accelerating the control of these high-burden diseases. Here, we discuss the challenges of indirect measures of infection in humans, whether through vectors or transmission life stages and in estimating the contribution of different host groups to transmission. We also discuss the issues of "evolution-proof" interventions against vector-borne disease.
Item Type: | Journal Article | ||||||||||
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Subjects: | Q Science > QA Mathematics R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) Faculty of Science, Engineering and Medicine > Science > Mathematics |
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Library of Congress Subject Headings (LCSH): | Communicable diseases -- Transmission -- Mathematical models | ||||||||||
Journal or Publication Title: | Epidemics | ||||||||||
Publisher: | Elsevier BV | ||||||||||
ISSN: | 1755-4365 | ||||||||||
Official Date: | March 2015 | ||||||||||
Dates: |
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Volume: | Volume 10 | ||||||||||
Page Range: | pp. 16-20 | ||||||||||
DOI: | 10.1016/j.epidem.2014.08.007 | ||||||||||
Status: | Peer Reviewed | ||||||||||
Publication Status: | Published | ||||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||||
Date of first compliant deposit: | 27 December 2015 | ||||||||||
Date of first compliant Open Access: | 27 December 2015 | ||||||||||
Funder: | United States. Department of Homeland Security. Science and Technology Directorate, Fogarty International Center. Research and Policy in Infectious Disease Dynamics Programme (RAPIDD), National Institutes of Health (U.S.) (NIH), National Science Foundation (U.S.) (NSF), Bill & Melinda Gates Foundation, Wellcome Trust (London, England), Medical Research Council (Great Britain) (MRC) | ||||||||||
Grant number: | R01-AI091980 (NIH), P01-AI098670 (NIH), 1246991 (NSF), 097830/Z/11/A-C (WT) |
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