Imperial College London

ProfessorSamirBhatt

Faculty of MedicineSchool of Public Health

Professor of Statistics and Public Health
 
 
 
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Contact

 

+44 (0)20 7594 5029s.bhatt

 
 
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Location

 

G32ASt Mary's Research BuildingSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Hamilton:2017:10.1186/s12936-017-1705-3,
author = {Hamilton, M and Mahiane, G and Werst, E and Sanders, R and Briet, O and Smith, T and Cibulskis, R and Cameron, E and Bhatt, S and Weiss, DJ and Gething, PW and Pretorius, C and Korenromp, EL},
doi = {10.1186/s12936-017-1705-3},
journal = {Malaria Journal},
title = {Spectrum-Malaria: a user-friendly projection tool for health impact assessment and strategic planning by malaria control programmes in sub-Saharan Africa},
url = {http://dx.doi.org/10.1186/s12936-017-1705-3},
volume = {16},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Background:Scale-up of malaria prevention and treatment needs to continue but national strategies and budget allocations are not always evidence-based. This article presents a new modelling tool projecting malaria infection, cases and deaths to support impact evaluation, target setting and strategic planning.Methods:Nested in the Spectrum suite of programme planning tools, the model includes historic estimates of case incidence and deaths in groups aged up to 4, 5–14, and 15+ years, and prevalence of Plasmodium falciparum infection (PfPR) among children 2–9 years, for 43 sub-Saharan African countries and their 602 provinces, from the WHO and malaria atlas project. Impacts over 2016–2030 are projected for insecticide-treated nets (ITNs), indoor residual spraying (IRS), seasonal malaria chemoprevention (SMC), and effective management of uncomplicated cases (CMU) and severe cases (CMS), using statistical functions fitted to proportional burden reductions simulated in the P. falciparum dynamic transmission model OpenMalaria.Results:In projections for Nigeria, ITNs, IRS, CMU, and CMS scale-up reduced health burdens in all age groups, with largest proportional and especially absolute reductions in children up to 4 years old. Impacts increased from 8 to 10 years following scale-up, reflecting dynamic effects. For scale-up of each intervention to 80% effective coverage, CMU had the largest impacts across all health outcomes, followed by ITNs and IRS; CMS and SMC conferred additional small but rapid mortality impacts.Discussion:Spectrum-Malaria’s user-friendly interface and intuitive display of baseline data and scenario projections holds promise to facilitate capacity building and policy dialogue in malaria programme prioritization. The module’s linking to the OneHealth Tool for costing will support use of the software for strategic budget allocation. In settings with moderately low coverage levels, such as Nigeria, improving case management an
AU - Hamilton,M
AU - Mahiane,G
AU - Werst,E
AU - Sanders,R
AU - Briet,O
AU - Smith,T
AU - Cibulskis,R
AU - Cameron,E
AU - Bhatt,S
AU - Weiss,DJ
AU - Gething,PW
AU - Pretorius,C
AU - Korenromp,EL
DO - 10.1186/s12936-017-1705-3
PY - 2017///
SN - 1475-2875
TI - Spectrum-Malaria: a user-friendly projection tool for health impact assessment and strategic planning by malaria control programmes in sub-Saharan Africa
T2 - Malaria Journal
UR - http://dx.doi.org/10.1186/s12936-017-1705-3
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000394188900002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/45515
VL - 16
ER -