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dc.contributor.authorFunk, S
dc.contributor.authorTakahashi, S
dc.contributor.authorHellewell, J
dc.contributor.authorGadroen, K
dc.contributor.authorCarrion-Martin, I
dc.contributor.authorvan Lenthe, M
dc.contributor.authorRivette, K
dc.contributor.authorDietrich, S
dc.contributor.authorEdmunds, WJ
dc.contributor.authorSiddiqui, MR
dc.contributor.authorRao, VB
dc.date.accessioned2019-11-20T02:05:07Z
dc.date.available2019-11-20T02:05:07Z
dc.date.issued2019-08-17
dc.date.submitted2019-11-08
dc.identifier.urihttp://hdl.handle.net/10144/619531
dc.description.abstractThe Katanga region in the Democratic Republic of Congo (DRC) has been struck by repeated epidemics of measles, with large outbreaks occurring in 2010–13 and 2015. In many of the affected health zones, reactive mass vaccination campaigns were conducted in response to the outbreaks. Here, we attempted to determine how effective the vaccination campaigns in 2015 were in curtailing the ongoing outbreak. We further sought to establish whether the risk of large measles outbreaks in different health zones could have been determined in advance to help prioritise areas for vaccination campaign and speed up the response. In doing so, we first attempted to identify factors that could have been used in 2015 to predict in which health zones the greatest outbreaks would occur. Administrative vaccination coverage was not a good predictor of the size of outbreaks in different health zones. Vaccination coverage derived from surveys, on the other hand, appeared to give more reliable estimates of health zones of low vaccination coverage and, consequently, large outbreaks. On a coarser geographical scale, the provinces most affected in 2015 could be predicted from the outbreak sizes in 2010–13. This, combined with the fact that the vast majority of reported cases were in under-5 year olds, would suggest that there are systematic issues of undervaccination. If this was to continue, outbreaks would be expected to continue to occur in the affected health zones at regular intervals, mostly concentrated in under-5 year olds. We further used a model of measles transmission to estimate the impact of the vaccination campaigns, by first fitting a model to the data including the campaigns and then re-running this without vaccination. We estimated the reactive campaigns to have reduced the size of the overall outbreak by approximately 21,000 (IQR: 16,000–27,000; 95% CI: 8300–38,000) cases. There was considerable heterogeneity in the impact of campaigns, with campaigns started earlier after the start of an outbreak being more impactful. Taken together, these findings suggest that while a strong routine vaccination regime remains the most effective means of measles control, it might be possible to improve the effectiveness of reactive campaigns by considering predictive factors to trigger a more targeted vaccination response.en_US
dc.language.isoenen_US
dc.titleThe impact of reactive mass vaccination campaigns on measles outbreaks in the Katanga region, Democratic Republic of Congoen_US
dc.identifier.journalmedRxiven_US
refterms.dateFOA2019-11-20T02:05:09Z


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