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Journal article

Simulations for designing and interpreting intervention trials in infectious diseases

Abstract:
Background
Interventions in infectious diseases can have both direct effects on individuals who receive the intervention as well as indirect effects in the population. In addition, intervention combinations can have complex interactions at the population level, which are often difficult to adequately assess with standard study designs and analytical methods.
 
Discussion
Herein, we urge the adoption of a new paradigm for the design and interpretation of intervention trials in infectious diseases, particularly with regard to emerging infectious diseases, one that more accurately reflects the dynamics of the transmission process. In an increasingly complex world, simulations can explicitly represent transmission dynamics, which are critical for proper trial design and interpretation. Certain ethical aspects of a trial can also be quantified using simulations. Further, after a trial has been conducted, simulations can be used to explore the possible explanations for the observed effects.
 
Conclusion
Much is to be gained through a multidisciplinary approach that builds collaborations among experts in infectious disease dynamics, epidemiology, statistical science, economics, simulation methods, and the conduct of clinical trials.
Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1186/s12916-017-0985-3

Authors


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Role:
Author
ORCID:
0000-0002-3127-1757


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Funder identifier:
https://ror.org/029chgv08
Grant:
106698/Z/14/Z
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Funder identifier:
https://ror.org/03x94j517
Grant:
MR/K006924/1


Publisher:
BioMed Central
Journal:
BMC Medicine More from this journal
Volume:
15
Issue:
1
Article number:
223
Publication date:
2017-12-29
Acceptance date:
2017-12-05
DOI:
EISSN:
1741-7015
Pmid:
29287587


Language:
English
Keywords:
Pubs id:
pubs:817185
UUID:
uuid:3f0b1d1e-8495-4489-872c-c8cfc76ce5b4
Local pid:
pubs:817185
Source identifiers:
817185
Deposit date:
2018-06-18

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