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The Long-Term Safety, Public Health Impact, and Cost-Effectiveness of Routine Vaccination with a Recombinant, Live-Attenuated Dengue Vaccine (Dengvaxia): A Model Comparison Study

Identifieur interne : 002752 ( Pmc/Curation ); précédent : 002751; suivant : 002753

The Long-Term Safety, Public Health Impact, and Cost-Effectiveness of Routine Vaccination with a Recombinant, Live-Attenuated Dengue Vaccine (Dengvaxia): A Model Comparison Study

Auteurs : Stefan Flasche [Royaume-Uni] ; Mark Jit [Royaume-Uni] ; Isabel Rodríguez-Barraquer [États-Unis] ; Laurent Coudeville [France] ; Mario Recker [Royaume-Uni] ; Katia Koelle [États-Unis] ; George Milne [Australie] ; Thomas J. Hladish [États-Unis] ; T. Alex Perkins [États-Unis] ; Derek A. T. Cummings [États-Unis] ; Ilaria Dorigatti [Royaume-Uni] ; Daniel J. Laydon [Royaume-Uni] ; Guido Espa A [États-Unis] ; Joel Kelso [Australie] ; Ira Longini [États-Unis] ; Jose Lourenco [Royaume-Uni] ; Carl A. B. Pearson [États-Unis] ; Robert C. Reiner [États-Unis] ; Luis Mier-Y-Terán-Romero [États-Unis] ; Kirsten Vannice [Suisse] ; Neil Ferguson [Royaume-Uni]

Source :

RBID : PMC:5127514

Abstract

Background

Large Phase III trials across Asia and Latin America have recently demonstrated the efficacy of a recombinant, live-attenuated dengue vaccine (Dengvaxia) over the first 25 mo following vaccination. Subsequent data collected in the longer-term follow-up phase, however, have raised concerns about a potential increase in hospitalization risk of subsequent dengue infections, in particular among young, dengue-naïve vaccinees. We here report predictions from eight independent modelling groups on the long-term safety, public health impact, and cost-effectiveness of routine vaccination with Dengvaxia in a range of transmission settings, as characterised by seroprevalence levels among 9-y-olds (SP9). These predictions were conducted for the World Health Organization to inform their recommendations on optimal use of this vaccine.

Methods and Findings

The models adopted, with small variations, a parsimonious vaccine mode of action that was able to reproduce quantitative features of the observed trial data. The adopted mode of action assumed that vaccination, similarly to natural infection, induces transient, heterologous protection and, further, establishes a long-lasting immunogenic memory, which determines disease severity of subsequent infections. The default vaccination policy considered was routine vaccination of 9-y-old children in a three-dose schedule at 80% coverage. The outcomes examined were the impact of vaccination on infections, symptomatic dengue, hospitalised dengue, deaths, and cost-effectiveness over a 30-y postvaccination period. Case definitions were chosen in accordance with the Phase III trials.

All models predicted that in settings with moderate to high dengue endemicity (SP9 ≥ 50%), the default vaccination policy would reduce the burden of dengue disease for the population by 6%–25% (all simulations: –3%–34%) and in high-transmission settings (SP9 ≥ 70%) by 13%–25% (all simulations: 10%– 34%). These endemicity levels are representative of the participating sites in both Phase III trials. In contrast, in settings with low transmission intensity (SP9 ≤ 30%), the models predicted that vaccination could lead to a substantial increase in hospitalisation because of dengue. Modelling reduced vaccine coverage or the addition of catch-up campaigns showed that the impact of vaccination scaled approximately linearly with the number of people vaccinated. In assessing the optimal age of vaccination, we found that targeting older children could increase the net benefit of vaccination in settings with moderate transmission intensity (SP9 = 50%). Overall, vaccination was predicted to be potentially cost-effective in most endemic settings if priced competitively.

The results are based on the assumption that the vaccine acts similarly to natural infection. This assumption is consistent with the available trial results but cannot be directly validated in the absence of additional data. Furthermore, uncertainties remain regarding the level of protection provided against disease versus infection and the rate at which vaccine-induced protection declines.

Conclusions

Dengvaxia has the potential to reduce the burden of dengue disease in areas of moderate to high dengue endemicity. However, the potential risks of vaccination in areas with limited exposure to dengue as well as the local costs and benefits of routine vaccination are important considerations for the inclusion of Dengvaxia into existing immunisation programmes. These results were important inputs into WHO global policy for use of this licensed dengue vaccine.


Url:
DOI: 10.1371/journal.pmed.1002181
PubMed: 27898668
PubMed Central: 5127514

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Le document en format XML

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<name sortKey="Mier Y Teran Romero, Luis" sort="Mier Y Teran Romero, Luis" uniqKey="Mier Y Teran Romero L" first="Luis" last="Mier-Y-Terán-Romero">Luis Mier-Y-Terán-Romero</name>
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<title xml:lang="en" level="a" type="main">The Long-Term Safety, Public Health Impact, and Cost-Effectiveness of Routine Vaccination with a Recombinant, Live-Attenuated Dengue Vaccine (Dengvaxia): A Model Comparison Study</title>
<author>
<name sortKey="Flasche, Stefan" sort="Flasche, Stefan" uniqKey="Flasche S" first="Stefan" last="Flasche">Stefan Flasche</name>
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<addr-line>London School of Hygiene and Tropical Medicine, London, United Kingdom</addr-line>
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<wicri:regionArea>London School of Hygiene and Tropical Medicine, London</wicri:regionArea>
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<name sortKey="Jit, Mark" sort="Jit, Mark" uniqKey="Jit M" first="Mark" last="Jit">Mark Jit</name>
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<addr-line>London School of Hygiene and Tropical Medicine, London, United Kingdom</addr-line>
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<wicri:regionArea>London School of Hygiene and Tropical Medicine, London</wicri:regionArea>
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<name sortKey="Rodriguez Barraquer, Isabel" sort="Rodriguez Barraquer, Isabel" uniqKey="Rodriguez Barraquer I" first="Isabel" last="Rodríguez-Barraquer">Isabel Rodríguez-Barraquer</name>
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<addr-line>Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland</wicri:regionArea>
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<name sortKey="Coudeville, Laurent" sort="Coudeville, Laurent" uniqKey="Coudeville L" first="Laurent" last="Coudeville">Laurent Coudeville</name>
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<addr-line>Sanofi Pasteur, Lyon, France</addr-line>
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<country xml:lang="fr">France</country>
<wicri:regionArea>Sanofi Pasteur, Lyon</wicri:regionArea>
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<name sortKey="Recker, Mario" sort="Recker, Mario" uniqKey="Recker M" first="Mario" last="Recker">Mario Recker</name>
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<nlm:aff id="aff004">
<addr-line>University of Exeter, Exeter, United Kingdom</addr-line>
</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>University of Exeter, Exeter</wicri:regionArea>
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<name sortKey="Koelle, Katia" sort="Koelle, Katia" uniqKey="Koelle K" first="Katia" last="Koelle">Katia Koelle</name>
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<addr-line>Duke University, Durham, North Carolina, United States of America</addr-line>
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<wicri:regionArea>Duke University, Durham, North Carolina</wicri:regionArea>
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<name sortKey="Milne, George" sort="Milne, George" uniqKey="Milne G" first="George" last="Milne">George Milne</name>
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<country xml:lang="fr">Australie</country>
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<name sortKey="Hladish, Thomas J" sort="Hladish, Thomas J" uniqKey="Hladish T" first="Thomas J." last="Hladish">Thomas J. Hladish</name>
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<addr-line>University of Florida, Gainesville, Gainesville, Florida, United States of America</addr-line>
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<wicri:regionArea>University of Florida, Gainesville, Gainesville, Florida</wicri:regionArea>
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<name sortKey="Perkins, T Alex" sort="Perkins, T Alex" uniqKey="Perkins T" first="T. Alex" last="Perkins">T. Alex Perkins</name>
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<addr-line>University of Notre Dame, Notre Dame, Indiana, United States</addr-line>
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<wicri:regionArea>University of Notre Dame, Notre Dame, Indiana</wicri:regionArea>
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<name sortKey="Cummings, Derek A T" sort="Cummings, Derek A T" uniqKey="Cummings D" first="Derek A. T." last="Cummings">Derek A. T. Cummings</name>
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<name sortKey="Dorigatti, Ilaria" sort="Dorigatti, Ilaria" uniqKey="Dorigatti I" first="Ilaria" last="Dorigatti">Ilaria Dorigatti</name>
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<name sortKey="Laydon, Daniel J" sort="Laydon, Daniel J" uniqKey="Laydon D" first="Daniel J." last="Laydon">Daniel J. Laydon</name>
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<addr-line>Imperial College London, London, United Kingdom</addr-line>
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<wicri:regionArea>Imperial College London, London</wicri:regionArea>
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<name sortKey="Espa A, Guido" sort="Espa A, Guido" uniqKey="Espa A G" first="Guido" last="Espa A">Guido Espa A</name>
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<nlm:aff id="aff008">
<addr-line>University of Notre Dame, Notre Dame, Indiana, United States</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>University of Notre Dame, Notre Dame, Indiana</wicri:regionArea>
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<name sortKey="Kelso, Joel" sort="Kelso, Joel" uniqKey="Kelso J" first="Joel" last="Kelso">Joel Kelso</name>
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<nlm:aff id="aff006">
<addr-line>University of Western Australia, Crawley, Australia</addr-line>
</nlm:aff>
<country xml:lang="fr">Australie</country>
<wicri:regionArea>University of Western Australia, Crawley</wicri:regionArea>
</affiliation>
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<name sortKey="Longini, Ira" sort="Longini, Ira" uniqKey="Longini I" first="Ira" last="Longini">Ira Longini</name>
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<nlm:aff id="aff007">
<addr-line>University of Florida, Gainesville, Gainesville, Florida, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>University of Florida, Gainesville, Gainesville, Florida</wicri:regionArea>
</affiliation>
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<name sortKey="Lourenco, Jose" sort="Lourenco, Jose" uniqKey="Lourenco J" first="Jose" last="Lourenco">Jose Lourenco</name>
<affiliation wicri:level="1">
<nlm:aff id="aff010">
<addr-line>University of Oxford, Oxford, United Kingdom</addr-line>
</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>University of Oxford, Oxford</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Pearson, Carl A B" sort="Pearson, Carl A B" uniqKey="Pearson C" first="Carl A. B." last="Pearson">Carl A. B. Pearson</name>
<affiliation wicri:level="1">
<nlm:aff id="aff007">
<addr-line>University of Florida, Gainesville, Gainesville, Florida, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>University of Florida, Gainesville, Gainesville, Florida</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Reiner, Robert C" sort="Reiner, Robert C" uniqKey="Reiner R" first="Robert C." last="Reiner">Robert C. Reiner</name>
<affiliation wicri:level="1">
<nlm:aff id="aff011">
<addr-line>Indiana University, Bloomington, Indiana, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Indiana University, Bloomington, Indiana</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Mier Y Teran Romero, Luis" sort="Mier Y Teran Romero, Luis" uniqKey="Mier Y Teran Romero L" first="Luis" last="Mier-Y-Terán-Romero">Luis Mier-Y-Terán-Romero</name>
<affiliation wicri:level="1">
<nlm:aff id="aff002">
<addr-line>Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Vannice, Kirsten" sort="Vannice, Kirsten" uniqKey="Vannice K" first="Kirsten" last="Vannice">Kirsten Vannice</name>
<affiliation wicri:level="1">
<nlm:aff id="aff012">
<addr-line>World Health Organization, Geneva, Switzerland</addr-line>
</nlm:aff>
<country xml:lang="fr">Suisse</country>
<wicri:regionArea>World Health Organization, Geneva</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Ferguson, Neil" sort="Ferguson, Neil" uniqKey="Ferguson N" first="Neil" last="Ferguson">Neil Ferguson</name>
<affiliation wicri:level="1">
<nlm:aff id="aff009">
<addr-line>Imperial College London, London, United Kingdom</addr-line>
</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Imperial College London, London</wicri:regionArea>
</affiliation>
</author>
</analytic>
<series>
<title level="j">PLoS Medicine</title>
<idno type="ISSN">1549-1277</idno>
<idno type="eISSN">1549-1676</idno>
<imprint>
<date when="2016">2016</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<sec id="sec001">
<title>Background</title>
<p>Large Phase III trials across Asia and Latin America have recently demonstrated the efficacy of a recombinant, live-attenuated dengue vaccine (Dengvaxia) over the first 25 mo following vaccination. Subsequent data collected in the longer-term follow-up phase, however, have raised concerns about a potential increase in hospitalization risk of subsequent dengue infections, in particular among young, dengue-naïve vaccinees. We here report predictions from eight independent modelling groups on the long-term safety, public health impact, and cost-effectiveness of routine vaccination with Dengvaxia in a range of transmission settings, as characterised by seroprevalence levels among 9-y-olds (SP9). These predictions were conducted for the World Health Organization to inform their recommendations on optimal use of this vaccine.</p>
</sec>
<sec id="sec002">
<title>Methods and Findings</title>
<p>The models adopted, with small variations, a parsimonious vaccine mode of action that was able to reproduce quantitative features of the observed trial data. The adopted mode of action assumed that vaccination, similarly to natural infection, induces transient, heterologous protection and, further, establishes a long-lasting immunogenic memory, which determines disease severity of subsequent infections. The default vaccination policy considered was routine vaccination of 9-y-old children in a three-dose schedule at 80% coverage. The outcomes examined were the impact of vaccination on infections, symptomatic dengue, hospitalised dengue, deaths, and cost-effectiveness over a 30-y postvaccination period. Case definitions were chosen in accordance with the Phase III trials.</p>
<p>All models predicted that in settings with moderate to high dengue endemicity (SP9 ≥ 50%), the default vaccination policy would reduce the burden of dengue disease for the population by 6%–25% (all simulations: –3%–34%) and in high-transmission settings (SP9 ≥ 70%) by 13%–25% (all simulations: 10%– 34%). These endemicity levels are representative of the participating sites in both Phase III trials. In contrast, in settings with low transmission intensity (SP9 ≤ 30%), the models predicted that vaccination could lead to a substantial increase in hospitalisation because of dengue. Modelling reduced vaccine coverage or the addition of catch-up campaigns showed that the impact of vaccination scaled approximately linearly with the number of people vaccinated. In assessing the optimal age of vaccination, we found that targeting older children could increase the net benefit of vaccination in settings with moderate transmission intensity (SP9 = 50%). Overall, vaccination was predicted to be potentially cost-effective in most endemic settings if priced competitively.</p>
<p>The results are based on the assumption that the vaccine acts similarly to natural infection. This assumption is consistent with the available trial results but cannot be directly validated in the absence of additional data. Furthermore, uncertainties remain regarding the level of protection provided against disease versus infection and the rate at which vaccine-induced protection declines.</p>
</sec>
<sec id="sec003">
<title>Conclusions</title>
<p>Dengvaxia has the potential to reduce the burden of dengue disease in areas of moderate to high dengue endemicity. However, the potential risks of vaccination in areas with limited exposure to dengue as well as the local costs and benefits of routine vaccination are important considerations for the inclusion of Dengvaxia into existing immunisation programmes. These results were important inputs into WHO global policy for use of this licensed dengue vaccine.</p>
</sec>
</div>
</front>
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<article-title>The Long-Term Safety, Public Health Impact, and Cost-Effectiveness of Routine Vaccination with a Recombinant, Live-Attenuated Dengue Vaccine (Dengvaxia): A Model Comparison Study</article-title>
<alt-title alt-title-type="running-head">Modelling the Public Health Impact of Dengvaxia</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<contrib-id authenticated="true" contrib-id-type="orcid">http://orcid.org/0000-0002-5808-2606</contrib-id>
<name>
<surname>Flasche</surname>
<given-names>Stefan</given-names>
</name>
<xref ref-type="aff" rid="aff001">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Jit</surname>
<given-names>Mark</given-names>
</name>
<xref ref-type="aff" rid="aff001">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="cor001">*</xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Rodríguez-Barraquer</surname>
<given-names>Isabel</given-names>
</name>
<xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Coudeville</surname>
<given-names>Laurent</given-names>
</name>
<xref ref-type="aff" rid="aff003">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<contrib-id authenticated="true" contrib-id-type="orcid">http://orcid.org/0000-0001-9489-1315</contrib-id>
<name>
<surname>Recker</surname>
<given-names>Mario</given-names>
</name>
<xref ref-type="aff" rid="aff004">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Koelle</surname>
<given-names>Katia</given-names>
</name>
<xref ref-type="aff" rid="aff005">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Milne</surname>
<given-names>George</given-names>
</name>
<xref ref-type="aff" rid="aff006">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<contrib-id authenticated="true" contrib-id-type="orcid">http://orcid.org/0000-0003-1819-6235</contrib-id>
<name>
<surname>Hladish</surname>
<given-names>Thomas J.</given-names>
</name>
<xref ref-type="aff" rid="aff007">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Perkins</surname>
<given-names>T. Alex</given-names>
</name>
<xref ref-type="aff" rid="aff008">
<sup>8</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id authenticated="true" contrib-id-type="orcid">http://orcid.org/0000-0002-9437-1907</contrib-id>
<name>
<surname>Cummings</surname>
<given-names>Derek A. T.</given-names>
</name>
<xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff007">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id authenticated="true" contrib-id-type="orcid">http://orcid.org/0000-0001-9959-0706</contrib-id>
<name>
<surname>Dorigatti</surname>
<given-names>Ilaria</given-names>
</name>
<xref ref-type="aff" rid="aff009">
<sup>9</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id authenticated="true" contrib-id-type="orcid">http://orcid.org/0000-0003-4270-3321</contrib-id>
<name>
<surname>Laydon</surname>
<given-names>Daniel J.</given-names>
</name>
<xref ref-type="aff" rid="aff009">
<sup>9</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id authenticated="true" contrib-id-type="orcid">http://orcid.org/0000-0002-9915-8056</contrib-id>
<name>
<surname>España</surname>
<given-names>Guido</given-names>
</name>
<xref ref-type="aff" rid="aff008">
<sup>8</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0001-9814-6435</contrib-id>
<name>
<surname>Kelso</surname>
<given-names>Joel</given-names>
</name>
<xref ref-type="aff" rid="aff006">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Longini</surname>
<given-names>Ira</given-names>
</name>
<xref ref-type="aff" rid="aff007">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lourenco</surname>
<given-names>Jose</given-names>
</name>
<xref ref-type="aff" rid="aff010">
<sup>10</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pearson</surname>
<given-names>Carl A. B.</given-names>
</name>
<xref ref-type="aff" rid="aff007">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Reiner</surname>
<given-names>Robert C.</given-names>
</name>
<xref ref-type="aff" rid="aff011">
<sup>11</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mier-y-Terán-Romero</surname>
<given-names>Luis</given-names>
</name>
<xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vannice</surname>
<given-names>Kirsten</given-names>
</name>
<xref ref-type="aff" rid="aff012">
<sup>12</sup>
</xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<contrib-id authenticated="true" contrib-id-type="orcid">http://orcid.org/0000-0002-1154-8093</contrib-id>
<name>
<surname>Ferguson</surname>
<given-names>Neil</given-names>
</name>
<xref ref-type="aff" rid="aff009">
<sup>9</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff001">
<label>1</label>
<addr-line>London School of Hygiene and Tropical Medicine, London, United Kingdom</addr-line>
</aff>
<aff id="aff002">
<label>2</label>
<addr-line>Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America</addr-line>
</aff>
<aff id="aff003">
<label>3</label>
<addr-line>Sanofi Pasteur, Lyon, France</addr-line>
</aff>
<aff id="aff004">
<label>4</label>
<addr-line>University of Exeter, Exeter, United Kingdom</addr-line>
</aff>
<aff id="aff005">
<label>5</label>
<addr-line>Duke University, Durham, North Carolina, United States of America</addr-line>
</aff>
<aff id="aff006">
<label>6</label>
<addr-line>University of Western Australia, Crawley, Australia</addr-line>
</aff>
<aff id="aff007">
<label>7</label>
<addr-line>University of Florida, Gainesville, Gainesville, Florida, United States of America</addr-line>
</aff>
<aff id="aff008">
<label>8</label>
<addr-line>University of Notre Dame, Notre Dame, Indiana, United States</addr-line>
</aff>
<aff id="aff009">
<label>9</label>
<addr-line>Imperial College London, London, United Kingdom</addr-line>
</aff>
<aff id="aff010">
<label>10</label>
<addr-line>University of Oxford, Oxford, United Kingdom</addr-line>
</aff>
<aff id="aff011">
<label>11</label>
<addr-line>Indiana University, Bloomington, Indiana, United States of America</addr-line>
</aff>
<aff id="aff012">
<label>12</label>
<addr-line>World Health Organization, Geneva, Switzerland</addr-line>
</aff>
<contrib-group>
<contrib contrib-type="editor">
<name>
<surname>von Seidlein</surname>
<given-names>Lorenz</given-names>
</name>
<role>Academic Editor</role>
<xref ref-type="aff" rid="edit1"></xref>
</contrib>
</contrib-group>
<aff id="edit1">
<addr-line>Mahidol-Oxford Tropical Medicine Research Unit, THAILAND</addr-line>
</aff>
<author-notes>
<fn fn-type="COI-statement" id="coi001">
<p>I have read the journal's policy and the authors of this manuscript have the following competing interests: LC is employed by Sanofi Pasteur. KV is a staff member of the World Health Organization. TAP and GE receive support from GlaxoSmithKline for unrelated work on dengue vaccine modelling. IL, TJH, and CABP have received travel support from Sanofi Pasteur to present other work on dengue vaccine modelling. Sanofi Pasteur has not funded any of their research and was not involved in any research decisions related to their work presented. NF gave advice to Sanofi-Pasteur and the World Health Organization on the efficacy profile and potential public health impact of Dengvaxia. He is also collaborating with Sanofi-Pasteur on secondary analyses of Dengvaxia clinical trial data. He has received no remuneration, grant income, expense payments or in-kind benefit from Sanofi-Pasteur. DATC and IRB have advised WHO on the use of the Sanofi vaccine in a number of meetings and as part of a consortium of modelers who estimated the potential impact of the vaccine. On occasion they received travel expenses for visits to WHO. They have also advised Sanofi Pasteur Ltd. on the implications their work has for use of their vaccine. They have not received any financial or in-kind payment from Sanofi. All other authors have declared that no competing interests exist.</p>
</fn>
<fn fn-type="con">
<p>
<list list-type="simple">
<list-item>
<p>
<bold>Conceptualization:</bold>
SF MJ KV NF.</p>
</list-item>
<list-item>
<p>
<bold>Data curation:</bold>
SF MJ.</p>
</list-item>
<list-item>
<p>
<bold>Formal analysis:</bold>
SF MJ IRB LC MR KK GM TJH TAP DATC ID GE JK DJL IL JL CABP RCR LMTR KV NF.</p>
</list-item>
<list-item>
<p>
<bold>Investigation:</bold>
SF MJ IRB LC MR KK GM TJH TAP DATC ID GE JK DJL IL JL CABP RCR LMTR KV NF.</p>
</list-item>
<list-item>
<p>
<bold>Methodology:</bold>
SF MJ IRB LC MR KK GM TJH TAP DATC ID GE JK DJL IL JL CABP RCR LMTR KV NF.</p>
</list-item>
<list-item>
<p>
<bold>Project administration:</bold>
SF MJ KV NF.</p>
</list-item>
<list-item>
<p>
<bold>Resources:</bold>
SF MJ IRB LC MR KK GM TJH TAP DATC ID GE JK DJL IL JL CABP RCR LMTR KV NF.</p>
</list-item>
<list-item>
<p>
<bold>Software:</bold>
SF MJ IRB LC MR KK GM TJH TAP DATC ID GE JK DJL IL JL CABP RCR LMTR KV NF.</p>
</list-item>
<list-item>
<p>
<bold>Supervision:</bold>
NF.</p>
</list-item>
<list-item>
<p>
<bold>Validation:</bold>
SF MJ IRB LC MR KK GM TJH TAP DATC ID GE JK DJL IL JL CABP RCR LMTR KV NF.</p>
</list-item>
<list-item>
<p>
<bold>Visualization:</bold>
SF.</p>
</list-item>
<list-item>
<p>
<bold>Writing – original draft:</bold>
SF MJ IRB LC MR KK NF.</p>
</list-item>
<list-item>
<p>
<bold>Writing – review & editing:</bold>
SF MJ IRB LC MR KK GM TJH TAP DATC ID GE JK DJL IL JL CABP RCR LMTR KV NF.</p>
</list-item>
</list>
</p>
</fn>
<corresp id="cor001">* E-mail:
<email>Mark.Jit@lshtm.ac.uk</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>29</day>
<month>11</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="collection">
<month>11</month>
<year>2016</year>
</pub-date>
<volume>13</volume>
<issue>11</issue>
<elocation-id>e1002181</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>4</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>10</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>© 2016 Flasche et al</copyright-statement>
<copyright-year>2016</copyright-year>
<copyright-holder>Flasche et al</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="pmed.1002181.pdf"></self-uri>
<related-article id="d35e687" related-article-type="companion" ext-link-type="doi" xlink:href="10.1371/journal.pmed.1002182">
<article-title>The Dengue Vaccine Dilemma: Balancing the Individual and Population Risks and Benefits</article-title>
</related-article>
<abstract>
<sec id="sec001">
<title>Background</title>
<p>Large Phase III trials across Asia and Latin America have recently demonstrated the efficacy of a recombinant, live-attenuated dengue vaccine (Dengvaxia) over the first 25 mo following vaccination. Subsequent data collected in the longer-term follow-up phase, however, have raised concerns about a potential increase in hospitalization risk of subsequent dengue infections, in particular among young, dengue-naïve vaccinees. We here report predictions from eight independent modelling groups on the long-term safety, public health impact, and cost-effectiveness of routine vaccination with Dengvaxia in a range of transmission settings, as characterised by seroprevalence levels among 9-y-olds (SP9). These predictions were conducted for the World Health Organization to inform their recommendations on optimal use of this vaccine.</p>
</sec>
<sec id="sec002">
<title>Methods and Findings</title>
<p>The models adopted, with small variations, a parsimonious vaccine mode of action that was able to reproduce quantitative features of the observed trial data. The adopted mode of action assumed that vaccination, similarly to natural infection, induces transient, heterologous protection and, further, establishes a long-lasting immunogenic memory, which determines disease severity of subsequent infections. The default vaccination policy considered was routine vaccination of 9-y-old children in a three-dose schedule at 80% coverage. The outcomes examined were the impact of vaccination on infections, symptomatic dengue, hospitalised dengue, deaths, and cost-effectiveness over a 30-y postvaccination period. Case definitions were chosen in accordance with the Phase III trials.</p>
<p>All models predicted that in settings with moderate to high dengue endemicity (SP9 ≥ 50%), the default vaccination policy would reduce the burden of dengue disease for the population by 6%–25% (all simulations: –3%–34%) and in high-transmission settings (SP9 ≥ 70%) by 13%–25% (all simulations: 10%– 34%). These endemicity levels are representative of the participating sites in both Phase III trials. In contrast, in settings with low transmission intensity (SP9 ≤ 30%), the models predicted that vaccination could lead to a substantial increase in hospitalisation because of dengue. Modelling reduced vaccine coverage or the addition of catch-up campaigns showed that the impact of vaccination scaled approximately linearly with the number of people vaccinated. In assessing the optimal age of vaccination, we found that targeting older children could increase the net benefit of vaccination in settings with moderate transmission intensity (SP9 = 50%). Overall, vaccination was predicted to be potentially cost-effective in most endemic settings if priced competitively.</p>
<p>The results are based on the assumption that the vaccine acts similarly to natural infection. This assumption is consistent with the available trial results but cannot be directly validated in the absence of additional data. Furthermore, uncertainties remain regarding the level of protection provided against disease versus infection and the rate at which vaccine-induced protection declines.</p>
</sec>
<sec id="sec003">
<title>Conclusions</title>
<p>Dengvaxia has the potential to reduce the burden of dengue disease in areas of moderate to high dengue endemicity. However, the potential risks of vaccination in areas with limited exposure to dengue as well as the local costs and benefits of routine vaccination are important considerations for the inclusion of Dengvaxia into existing immunisation programmes. These results were important inputs into WHO global policy for use of this licensed dengue vaccine.</p>
</sec>
</abstract>
<abstract abstract-type="toc">
<p>Mark Jit and colleagues report findings from eight independent modelling groups on the long-term safety, public health impact, and cost-effectiveness of routine vaccination with a recombinant, live-attenuated dengue vaccine (Dengvaxia).</p>
</abstract>
<abstract abstract-type="summary">
<title>Author Summary</title>
<sec id="sec004">
<title>Why Was This Study Done?</title>
<list list-type="bullet">
<list-item>
<p>Dengvaxia, the first vaccine against all dengue serotypes, has recently been licensed in several countries.</p>
</list-item>
<list-item>
<p>The World Health Organization initiated this study to inform its official position on the use of Dengvaxia.</p>
</list-item>
</list>
</sec>
<sec id="sec005">
<title>What Did the Researchers Do and Find?</title>
<list list-type="bullet">
<list-item>
<p>We used dynamical models with differences in how dengue epidemiology is reflected but common assumptions on vaccine effects, informed by trial observations, to predict the impact and cost-effectiveness of Dengvaxia in a variety of situations.</p>
</list-item>
<list-item>
<p>The results showed that Dengvaxia has the potential to reduce the number of hospitalisations because of dengue by 13%–25% and be cost effective in settings where dengue is common.</p>
</list-item>
<list-item>
<p>However, in settings with low dengue prevalence, vaccination may increase the incidence of severe illness.</p>
</list-item>
</list>
</sec>
<sec id="sec006">
<title>What Do These Findings Mean?</title>
<list list-type="bullet">
<list-item>
<p>WHO has now recommended countries consider the use of Dengvaxia in settings with high dengue endemicity.</p>
</list-item>
<list-item>
<p>Our results can guide countries on the general suitability of Dengvaxia introduction; however, local demographics, heterogeneities in endemicity, and health system costs will need to be taken into account.</p>
</list-item>
</list>
</sec>
</abstract>
<funding-group>
<funding-statement>SF and MJ received funding from WHO and Gavi, the Vaccine Alliance, to conduct this work. LC is a paid employee at Sanofi Pasteur. GM and JK were funded by the University of Western Australia, with computing resources provided by the Pawsey Supercomputing Centre, which is funded by the Australian Government and the Government of Western Australia. MR is funded by a Royal Society University Research Fellowship. NF, ID and DJL received research funding from the UK Medical Research Council, the UK NIHR under the Health Protection Research Unit initiative, NIGMS under the MIDAS initiative, and the Bill and Melinda Gates Foundation. IRB and DATC were funded by MIDAS Center Grant NIH/NIGMS U54-GM088491 and the Bill and Melinda Gates Foundation. DATC was also supported by NIH/NIAID R01-AI114703. TJH, IL, and CABP were funded by a Dengue Vaccine Initiative Grant to IL, NIH/NIAID R37 AI32042. THJ, IL, and KK were funded by MIDAS Center Grant NIH/NIGMS 1135 U54 GM111274. All other authors have received no specific funding to conduct this work. The funders had no role in the study design, data analyses, decision to publish or preparation of the manuscript.</funding-statement>
</funding-group>
<counts>
<fig-count count="6"></fig-count>
<table-count count="2"></table-count>
<page-count count="19"></page-count>
</counts>
<custom-meta-group>
<custom-meta id="data-availability">
<meta-name>Data Availability</meta-name>
<meta-value>All relevant data are within the paper and its Supporting Information files.</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
<notes>
<title>Data Availability</title>
<p>All relevant data are within the paper and its Supporting Information files.</p>
</notes>
</front>
</pmc>
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