Dengue serotype immune-interactions and their consequences for vaccine impact predictions
•The firstever dengue vaccine, Dengvaxia®, has recently been licensed for use in several countries.•Mathematical models are valuable tools for assessing vaccination impact on dengue burden.•Model assumptions regarding dengue serotype immune interactions are inconsistent.•Our results demonstrate how...
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Published in | Epidemics Vol. 16; no. C; pp. 40 - 48 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Netherlands
Elsevier B.V
01.09.2016
Elsevier |
Subjects | |
Online Access | Get full text |
ISSN | 1755-4365 1878-0067 |
DOI | 10.1016/j.epidem.2016.05.003 |
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Abstract | •The firstever dengue vaccine, Dengvaxia®, has recently been licensed for use in several countries.•Mathematical models are valuable tools for assessing vaccination impact on dengue burden.•Model assumptions regarding dengue serotype immune interactions are inconsistent.•Our results demonstrate how model assumptions critically affect vaccine impact predictions.
Dengue is one of the most important and wide-spread viral infections affecting human populations. The last few decades have seen a dramatic increase in the global burden of dengue, with the virus now being endemic or near-endemic in over 100 countries world-wide. A recombinant tetravalent vaccine candidate (CYD-TDV) has recently completed Phase III clinical efficacy trials in South East Asia and Latin America and has been licensed for use in several countries. The trial results showed moderate-to-high efficacies in protection against clinical symptoms and hospitalisation but with so far unknown effects on transmission and infections per se. Model-based predictions about the vaccine's short- or long-term impact on the burden of dengue are therefore subject to a considerable degree of uncertainty. Furthermore, different immune interactions between dengue's serotypes have frequently been evoked by modelling studies to underlie dengue's oscillatory dynamics in disease incidence and serotype prevalence. Here we show how model assumptions regarding immune interactions in the form of antibody-dependent enhancement, temporary cross-immunity and the number of infections required to develop full immunity can significantly affect the predicted outcome of a dengue vaccination campaign. Our results thus re-emphasise the important gap in our current knowledge concerning the effects of previous exposure on subsequent dengue infections and further suggest that intervention impact studies should be critically evaluated by their underlying assumptions about serotype immune-interactions. |
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AbstractList | Dengue is one of the most important and wide-spread viral infections affecting human populations. The last few decades have seen a dramatic increase in the global burden of dengue, with the virus now being endemic or near-endemic in over 100 countries world-wide. A recombinant tetravalent vaccine candidate (CYD-TDV) has recently completed Phase III clinical efficacy trials in South East Asia and Latin America and has been licensed for use in several countries. The trial results showed moderate-to-high efficacies in protection against clinical symptoms and hospitalisation but with so far unknown effects on transmission and infections per se. Model-based predictions about the vaccine's short- or long-term impact on the burden of dengue are therefore subject to a considerable degree of uncertainty. Furthermore, different immune interactions between dengue's serotypes have frequently been evoked by modelling studies to underlie dengue's oscillatory dynamics in disease incidence and serotype prevalence. Here we show how model assumptions regarding immune interactions in the form of antibody-dependent enhancement, temporary cross-immunity and the number of infections required to develop full immunity can significantly affect the predicted outcome of a dengue vaccination campaign. Our results thus re-emphasise the important gap in our current knowledge concerning the effects of previous exposure on subsequent dengue infections and further suggest that intervention impact studies should be critically evaluated by their underlying assumptions about serotype immune-interactions. • The firstever dengue vaccine, Dengvaxia ® , has recently been licensed for use in several countries. • Mathematical models are valuable tools for assessing vaccination impact on dengue burden. • Model assumptions regarding dengue serotype immune interactions are inconsistent. • Our results demonstrate how model assumptions critically affect vaccine impact predictions. Dengue is one of the most important and wide-spread viral infections affecting human populations. The last few decades have seen a dramatic increase in the global burden of dengue, with the virus now being endemic or near-endemic in over 100 countries world-wide. A recombinant tetravalent vaccine candidate (CYD-TDV) has recently completed Phase III clinical efficacy trials in South East Asia and Latin America and has been licensed for use in several countries. The trial results showed moderate-to-high efficacies in protection against clinical symptoms and hospitalisation but with so far unknown effects on transmission and infections per se . Model-based predictions about the vaccine's short- or long-term impact on the burden of dengue are therefore subject to a considerable degree of uncertainty. Furthermore, different immune interactions between dengue's serotypes have frequently been evoked by modelling studies to underlie dengue's oscillatory dynamics in disease incidence and serotype prevalence. Here we show how model assumptions regarding immune interactions in the form of antibody-dependent enhancement, temporary cross-immunity and the number of infections required to develop full immunity can significantly affect the predicted outcome of a dengue vaccination campaign. Our results thus re-emphasise the important gap in our current knowledge concerning the effects of previous exposure on subsequent dengue infections and further suggest that intervention impact studies should be critically evaluated by their underlying assumptions about serotype immune-interactions. •The firstever dengue vaccine, Dengvaxia®, has recently been licensed for use in several countries.•Mathematical models are valuable tools for assessing vaccination impact on dengue burden.•Model assumptions regarding dengue serotype immune interactions are inconsistent.•Our results demonstrate how model assumptions critically affect vaccine impact predictions. Dengue is one of the most important and wide-spread viral infections affecting human populations. The last few decades have seen a dramatic increase in the global burden of dengue, with the virus now being endemic or near-endemic in over 100 countries world-wide. A recombinant tetravalent vaccine candidate (CYD-TDV) has recently completed Phase III clinical efficacy trials in South East Asia and Latin America and has been licensed for use in several countries. The trial results showed moderate-to-high efficacies in protection against clinical symptoms and hospitalisation but with so far unknown effects on transmission and infections per se. Model-based predictions about the vaccine's short- or long-term impact on the burden of dengue are therefore subject to a considerable degree of uncertainty. Furthermore, different immune interactions between dengue's serotypes have frequently been evoked by modelling studies to underlie dengue's oscillatory dynamics in disease incidence and serotype prevalence. Here we show how model assumptions regarding immune interactions in the form of antibody-dependent enhancement, temporary cross-immunity and the number of infections required to develop full immunity can significantly affect the predicted outcome of a dengue vaccination campaign. Our results thus re-emphasise the important gap in our current knowledge concerning the effects of previous exposure on subsequent dengue infections and further suggest that intervention impact studies should be critically evaluated by their underlying assumptions about serotype immune-interactions. Highlights • there is still a significant degree of uncertainty surrounding not only the action of the Sanofi Pasteur's dengue vaccine candidate (CYD-TDV) but also immune interactions between dengue serotypes • different immune interactions in the form of short- and long-term cross-protection or cross-enhancement (ADE) have been put forward as important drivers of dengue epidemiology; however, their effect on vaccination impact has not yet been addressed • using an individual-based meta-population model we simulated population-wide introduction of a dengue vaccine under a number of different assumptions regarding dengue immune interactions • in the absence of cross-immunity or cross-enhancement, a routine vaccination campaign based on a CYD-TDV-like vaccine has a limited impact on dengue incidence, which can however be significantly enhanced by performing a one-off catch-up campaign • vaccination impact is crucially dependent on vaccination age and (catch-up) coverage • vaccination can raise the average age of first and second infection • vaccination impact can be markedly reduced when considering immune interaction, in particular ADE and full immunity after two heterologous infections; temporary cross-immunity, on the other hand, does not affect vaccine impact • changes due to immune interaction are independent of dengue's transmission potential (R0), which, on the other hand, can be significantly altered when fitting a model to epidemiological data under different assumptions about cross-immunity • these results thus clearly demonstrate that model-based assumptions about immune-interactions can crucially affect dengue vaccine impact predictions |
Author | Recker, Mario Lourenço, José |
AuthorAffiliation | b Centre for Mathematics and the Environment, University of Exeter, Penryn Campus, Penryn TR10 9EZ, UK a Department of Zoology, University of Oxford, Oxford OX1 3PS, UK |
AuthorAffiliation_xml | – name: a Department of Zoology, University of Oxford, Oxford OX1 3PS, UK – name: b Centre for Mathematics and the Environment, University of Exeter, Penryn Campus, Penryn TR10 9EZ, UK |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27663790$$D View this record in MEDLINE/PubMed |
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Snippet | •The firstever dengue vaccine, Dengvaxia®, has recently been licensed for use in several countries.•Mathematical models are valuable tools for assessing... Highlights • there is still a significant degree of uncertainty surrounding not only the action of the Sanofi Pasteur's dengue vaccine candidate (CYD-TDV) but... Dengue is one of the most important and wide-spread viral infections affecting human populations. The last few decades have seen a dramatic increase in the... • The firstever dengue vaccine, Dengvaxia ® , has recently been licensed for use in several countries. • Mathematical models are valuable tools for assessing... |
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SubjectTerms | Dengue - immunology Dengue - prevention & control Dengue Vaccines - immunology Humans Immunization Programs Infectious Disease Internal Medicine Latin America Serogroup Vaccines, Attenuated - immunology |
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Title | Dengue serotype immune-interactions and their consequences for vaccine impact predictions |
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