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dc.contributor.authorGriffin, JTen_US
dc.date.accessioned2018-02-02T13:50:19Z
dc.date.available2014-11-21en_US
dc.date.issued2015-01en_US
dc.date.submitted2017-12-07T14:26:04.309Z
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/31977
dc.description.abstractThe basic reproduction number (R0) is an important quantity summarising the dynamics of an infectious disease, as it quantifies how much effort is needed to control transmission. The relative change in R0 due to an intervention is referred to as the effect size. However malaria and other diseases are often highly seasonal and some interventions have time-varying effects, meaning that simple reproduction number formulae cannot be used. Methods have recently been developed for calculating R0 for diseases with seasonally varying transmission. I extend those methods to calculate the effect size of repeated rounds of mass drug administration, indoor residual spraying and other interventions against Plasmodium falciparum malaria in seasonal settings in Africa. I show that if an intervention reduces transmission from one host to another by a constant factor, then its effect size is the same in a seasonal as in a non-seasonal setting. The optimal time of year for drug administration is in the low season, whereas the best time for indoor residual spraying or a vaccine which reduces infection rates is just before the high season. In general, the impact of time-varying interventions increases with increasing seasonality, if carried out at the optimal time of year. The effect of combinations of interventions that act at different stages of the transmission cycle is roughly the product of the separate effects. However for individual time-varying interventions, it is necessary to use methods such as those developed here rather than inserting the average efficacy into a simple formula.en_US
dc.description.sponsorshipThe work was funded by a fellowship from the UK Medical Research Council, grant number G1002284. http://www.mrc.ac.uk/index.htm. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.en_US
dc.format.extente1004057 - ?en_US
dc.languageengen_US
dc.relation.ispartofPLoS Comput Biolen_US
dc.rightsThis 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 credited
dc.subjectAfricaen_US
dc.subjectAnimalsen_US
dc.subjectAnophelesen_US
dc.subjectHumansen_US
dc.subjectInsect Vectorsen_US
dc.subjectMalaria, Falciparumen_US
dc.subjectModels, Biologicalen_US
dc.subjectPlasmodium falciparumen_US
dc.subjectReproductionen_US
dc.subjectSeasonsen_US
dc.titleThe interaction between seasonality and pulsed interventions against malaria in their effects on the reproduction number.en_US
dc.typeArticle
dc.rights.holderCopyright: © 2015 Jamie T. Griffin
dc.identifier.doi10.1371/journal.pcbi.1004057en_US
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/25590612en_US
pubs.issue1en_US
pubs.notesNo embargoen_US
pubs.publication-statusPublished onlineen_US
pubs.volume11en_US
dcterms.dateAccepted2014-11-21en_US
qmul.funderSynthesising data from multiple spatial scales and levels of detail to improve malaria transmission model predictions::Medical Research Council (MRC)en_US


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