Imperial College London
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ProfessorThomasChurcher

Faculty of Medicine, School of Public Health

Professor of Infectious Disease Dynamics
 
 
 
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Contact

 

thomas.churcher

 
 
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Location

 

G35Medical SchoolSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Green:2022:10.1371/journal.pone.0263446,
author = {Green, N and Agossa, F and Yovogan, B and Oxborough, R and Kitau, J and Müller, P and Constant, E and Rowland, M and Tchacaya, EFS and Benjamin, KG and Churcher, TS and Betancourt, M and Sherrard-Smith, E},
doi = {10.1371/journal.pone.0263446},
journal = {PLoS One},
pages = {e0263446--e0263446},
title = {An evidence synthesis approach for combining different data sources illustrated using entomological efficacy of insecticides for indoor residual spraying},
url = {http://dx.doi.org/10.1371/journal.pone.0263446},
volume = {17},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BackgroundProspective malaria public health interventions are initially tested for entomological impact using standardised experimental hut trials. In some cases, data are collated as aggregated counts of potential outcomes from mosquito feeding attempts given the presence of an insecticidal intervention. Comprehensive data i.e. full breakdowns of probable outcomes of mosquito feeding attempts, are more rarely available. Bayesian evidence synthesis is a framework that explicitly combines data sources to enable the joint estimation of parameters and their uncertainties. The aggregated and comprehensive data can be combined using an evidence synthesis approach to enhance our inference about the potential impact of vector control products across different settings over time.MethodsAggregated and comprehensive data from a meta-analysis of the impact of Pirimiphos-methyl, an indoor residual spray (IRS) product active ingredient, used on wall surfaces to kill mosquitoes and reduce malaria transmission, were analysed using a series of statistical models to understand the benefits and limitations of each.ResultsMany more data are available in aggregated format (N = 23 datasets, 4 studies) relative to comprehensive format (N = 2 datasets, 1 study). The evidence synthesis model had the smallest uncertainty at predicting the probability of mosquitoes dying or surviving and blood-feeding. Generating odds ratios from the correlated Bernoulli random sample indicates that when mortality and blood-feeding are positively correlated, as exhibited in our data, the number of successfully fed mosquitoes will be under-estimated. Analysis of either dataset alone is problematic because aggregated data require an assumption of independence and there are few and variable data in the comprehensive format.ConclusionsWe developed an approach to combine sources from trials to maximise the inference that can be made from such data and that is applicable to other systems. Bayesian evidence synthes
AU  - Green,N
AU  - Agossa,F
AU  - Yovogan,B
AU  - Oxborough,R
AU  - Kitau,J
AU  - Müller,P
AU  - Constant,E
AU  - Rowland,M
AU  - Tchacaya,EFS
AU  - Benjamin,KG
AU  - Churcher,TS
AU  - Betancourt,M
AU  - Sherrard-Smith,E
DO  - 10.1371/journal.pone.0263446
EP  - 0263446
PY  - 2022///
SN  - 1932-6203
SP  - 0263446
TI  - An evidence synthesis approach for combining different data sources illustrated using entomological efficacy of insecticides for indoor residual spraying
T2  - PLoS One
UR  - http://dx.doi.org/10.1371/journal.pone.0263446
UR  - https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0263446
UR  - http://hdl.handle.net/10044/1/96076
VL  - 17
ER  -
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