scholarly journals Measles Vaccination Coverage Survey in Moba, Katanga, Democratic Republic of Congo, 2013: Need to Adapt Routine and Mass Vaccination Campaigns to Reach the Unreached

Author(s):  
Julita Gil Cuesta ◽  
Narcisse Mukembe ◽  
Palle Valentiner-Branth ◽  
Pawel Stefanoff ◽  
Annick Lenglet
2019 ◽  
Author(s):  
Sebastian Funk ◽  
Saki Takahashi ◽  
Joel Hellewell ◽  
Kartini Gadroen ◽  
Isidro Carrion-Martin ◽  
...  

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.


2018 ◽  
Author(s):  
J. Daniel Kelly ◽  
Lee Worden ◽  
Rae Wannier ◽  
Nicole A. Hoff ◽  
Patrick Mukadi ◽  
...  

AbstractBackgroundAs of May 27, 2018, 54 cases of Ebola virus disease (EVD) were reported in Équateur Province, Democratic Republic of Congo. We used reported case counts and time series from prior outbreaks to estimate the current outbreak size and duration with and without vaccine use.MethodsWe modeled Ebola virus transmission using a stochastic branching process model with a negative binomial distribution, using both estimates of reproduction number R declining from supercritical to subcritical derived from past Ebola outbreaks, as well as a particle filtering method to generate a probabilistic projection of the future course of the outbreak conditioned on its reported trajectory to date; modeled using 0%, 44%, and 62% estimates of vaccination coverage. Additionally, we used the time series for 18 prior Ebola outbreaks from 1976 to 2016 to parameterize a regression model predicting the outbreak size from the number of observed cases from April 4 to May 27.ResultsWith the stochastic transmission model, we projected a median outbreak size of 78 EVD cases (95% credible interval: 52, 125.4), 86 cases (95% credible interval: 53, 174.3), and 91 cases (95% credible interval: 52, 843.5), using 62%, 44%, and 0% estimates of vaccination coverage. With the regression model, we estimated a median size of 85.0 cases (95% prediction interval: 53.5, 216.6).ConclusionsThis outbreak has the potential to be the largest outbreak in DRC since 2007. Vaccines are projected to limit outbreak size and duration but are only part of prevention, control, and care strategies.


2018 ◽  
Vol 12 (5) ◽  
pp. e0006369 ◽  
Author(s):  
Louis Albert Massing ◽  
Soumah Aboubakar ◽  
Alexandre Blake ◽  
Anne-Laure Page ◽  
Sandra Cohuet ◽  
...  

Vaccine ◽  
2017 ◽  
Vol 35 (45) ◽  
pp. 6187-6194 ◽  
Author(s):  
Reena H. Doshi ◽  
Philip Eckhoff ◽  
Alvan Cheng ◽  
Nicole A. Hoff ◽  
Patrick Mukadi ◽  
...  

Vaccine ◽  
2018 ◽  
Vol 36 (4) ◽  
pp. 587-593 ◽  
Author(s):  
Hayley R. Ashbaugh ◽  
Nicole A. Hoff ◽  
Reena H. Doshi ◽  
Vivian H. Alfonso ◽  
Adva Gadoth ◽  
...  

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