title: Impact of combined vector-control and vaccination strategies on transmission dynamics of dengue fever: a model-based analysis.
abstract: Dengue fever is a vector-borne disease prevalent in tropical and subtropical regions. It is an important public health problem with a considerable and often under-valued disease burden in terms of frequency, cost and quality-of-life. Recent literature reviews have documented the development of mathematical models of dengue fever both to identify important characteristics for future model development as well as to assess the impact of dengue control interventions. Such reviews highlight the importance of short-term cross-protection; antibody-dependent enhancement; and seasonality (in terms of both favourable and unfavourable conditions for mosquitoes). The compartmental model extends work by Bartley (2002) and combines the following factors: seasonality, age-structure, consecutive infection by all four serotypes, cross-protection and immune enhancement, as well as combined vector-host transmission. The model is used to represent dengue transmission dynamics using parameters appropriate for Thailand and to assess the potential impact of combined vector-control and vaccination strategies including routine and catch-up vaccination strategies on disease dynamics. When seasonality and temporary cross-protection between serotypes are included, the model is able to approximate the observed incidence of dengue fever in Thailand. We find vaccination to be the most effective single intervention, albeit with imperfect efficacy (30.2 %) and limited duration of protection. However, in combination, control interventions and vaccination exhibit a marked impact on dengue fever transmission. This study shows that an imperfect vaccine can be a useful weapon in reducing disease spread within the community, although it will be most effective when promoted as one of several strategies for combating dengue fever transmission.
authors.affiliation: Mathematics, University of Southampton, Highfield Southampton, SO17 1BJ, UK, gk205@soton.ac.uk.
authors.forename: Gerhart
authors.initials: G
authors.lastname: Knerer
authors.forename: Christine S M
authors.initials: CS
authors.lastname: Currie
authors.forename: Sally C
authors.initials: SC
authors.lastname: Brailsford
mesh_terms: D000293:Adolescent; D000328:Adult; D000818:Animals; D002648:Child; D002675:Child, Preschool; D003140:Communicable Disease Control / Q000379:methods*; D003715:Dengue / Q000453:epidemiology / Q000517:prevention & control* / Q000635:transmission*; D053059:Dengue Vaccines / Q000008:administration & dosage*; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D008962:Models, Theoretical; D009032:Mosquito Control / Q000379:methods*; D011159:Population Surveillance; D012621:Seasons; D013785:Thailand / Q000453:epidemiology
chemical_list: D053059:Dengue Vaccines