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Entomological surveillance as a cornerstone of malaria elimination: A critical appraisal

Abstract:
Global capacity for developing new insecticides and vector control products, as well as mathematical models to evaluate their likely impact upon malaria transmission has greatly improved in recent years. Given that a range of new vector control products are now emerging that target a greater diversity of adult mosquito behaviours, it should soon be feasible to effectively tackle a broader range of mosquito species and settings. However, the primary obstacles to further progress towards more effective malaria vector control are now paucities of routine programmatic entomological surveillance, and capacity for data processing, analysis and interpretation in endemic countries. Well-established entomological methods need to be more widely utilized for routine programmatic surveillance of vector behaviours and insecticide susceptibility, the effectiveness of vector control products and processes, and their impacts on mosquito populations. Such programmatic data may also be useful for simulation analyses of mosquito life histories, to identify opportunities for pre-emptively intervening early in the life cycle of mosquitoes, rather than targeting transmission events occurring when they are older. Current obstacles to more effective utilization, archiving and sharing of entomological data largely centre around global inequities of analytical capacity. These prohibitive and unfair imbalances can be addressed by reorienting funding schemes to emphasize south-centred collaborations focused on malaria-endemic countries.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.5772/intechopen.78007

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Human Genetics Wt Centre
Role:
Author
ORCID:
0000-0002-8028-4079

Contributors

Role:
Editor
Role:
Editor



Publisher:
IntechOpen
Host title:
Towards Malaria Elimination
Pages:
403-429
Publication date:
2018-07-18
Acceptance date:
2018-04-26
DOI:


Keywords:
Pubs id:
pubs:876036
UUID:
uuid:750f0f5b-3c69-4189-9362-dadaefd0efff
Local pid:
pubs:876036
Source identifiers:
876036
Deposit date:
2018-07-18
ARK identifier:

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