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Cited by 109Mosquito-borne diseases and controlMathematical and Theoretical Epidemiology and Ecology ModelsDengue and Mosquito Control Research

Models of the impact of dengue vaccines: A review of current research and potential approaches

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Johansson, Michael A., Hombach, Joachim, Cummings, Derek A.T.·2011·Vaccine
DOI 10.1016/j.vaccine.2011.06.042PMC PMC4327892
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Abstract

Vaccination reduces transmission of pathogens directly, by preventing individual infections, and indirectly, by reducing the probability of contact between infected individuals and susceptible ones. The potential combined impact of future dengue vaccines can be estimated using mathematical models of transmission. However, there is considerable uncertainty in the structure of models that accurately represent dengue transmission dynamics. Here, we review models that could be used to assess the impact of future dengue immunization programmes. We also review approaches that have been used to validate and parameterize models. A key parameter of all approaches is the basic reproduction number, R(0), which can be used to determine the critical vaccination fraction to eliminate transmission. We review several methods that have been used to estimate this quantity. Finally, we discuss the characteristics of dengue vaccines that must be estimated to accurately assess their potential impact on dengue virus transmission.

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  • Where non-entomological estimates of R0 have been made, the estimates obtained are much lower than entomological estimates.

    “Where non-entomological estimates have been made, which are generally measured using methods that can be compared to estimates made for other pathogens, the estimates obtained are much lower.34,89”

    From Recasting the theory of mosquito-borne pathogen transmission dynamics and control (2014) · cites this paper as [89]

    Section 3 describes both mosquito-based and epidemic-based methods for estimating dengue R0, and Section 4 says estimates from early epidemics may underestimate overall transmission. But the paper does not establish that non-entomological estimates are generally much lower than entomological estimates, or say that those methods are comparable to methods used for other pathogens. (LLM, conf=0.78)

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Authors
Johansson, M. A., Hombach, J., & Cummings, D. A. T.
Affiliations
  • Centers for Disease Control and Prevention (US)
  • World Health Organization (CH)
  • Johns Hopkins University (US)
ORCID
Venue
Vaccine
Publisher
Elsevier BV
Published
2011-08
Volume
29
Issue
35
Pages
5860-5868
ISSN
0264-410X (ISSN-L)
DOI
10.1016/j.vaccine.2011.06.042
PMC
PMC4327892
OpenAlex
W2100762330
Cited by
109
References
0
Citations by year
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FWCI
1.48
Type
journal article
Language
en
Open access
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Vaccine (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute of General Medical Sciences (R01GM090204)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mosquito-borne diseases and control
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mathematical and Theoretical Epidemiology and Ecology Models
  • Social Sciences › Sociology and Political Science › Dengue and Mosquito Control Research
Keywords
dengue vaccine, vaccine impact, dengue transmission dynamics, basic reproduction number, model validation, parameter estimation, herd immunity
MeSH terms
Aedes, Animals, Dengue, Dengue Virus, Humans, Insect Vectors, Models, Biological, Dengue Vaccines

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