Vector dynamics predicts transmission dynamics: a simple, realistic and sensible approach for measuring malaria endemicity

Entomological indicators such as vector density, distribution, biology and bionomics and their vectorial attributes are important parameters for measuring the pattern and intensity of malaria transmission. Although published articles provide evidence for the existence of associations between entomol...

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Bibliographic Details
Published in:Bulletin of entomological research 2020-06, Vol.110 (3), p.379-387
Main Authors: Pradhan, Nitika, Tarai, Rojalini, Hazra, Rupenangshu K.
Format: Article
Language:English
Subjects:
Biology
Bionomics
Collections
Correlation
Disease transmission
Dynamics
Early warning systems
Endemism
Feeding behavior
Feeding habits
Human diseases
Infectivity
Intervention
Malaria
Methods
Morbidity
Mosquitoes
Parameters
Pest outbreaks
Vector-borne diseases
Vectors
Wind
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Summary:Entomological indicators such as vector density, distribution, biology and bionomics and their vectorial attributes are important parameters for measuring the pattern and intensity of malaria transmission. Although published articles provide evidence for the existence of associations between entomological indices and malaria transmission dynamics, none of them is able to establish a strong correlation. In order to address this issue, the present study aims to assess how malaria transmission is influenced and can be predicted by local major vector dynamics. We carried out an entomological assessment of major Anopheline vector abundance, habit/habitat, resting and feeding behavior, infectivity rates, and other entomological parameters. Results suggest that malaria transmission was correlated with a vector control intervention and non-intervention scenario in a high endemic region of Kalahandi district of Odisha, India. Amongst all indices, infective anthropophagic vectors established a strong positive correlation with malaria morbidity in comparison to infective or anthropophagic vector species during both the study periods. Though other entomological parameters influenced the transmission intensity, little quantifiable association was detected among study sites. This study provides strong baseline evidence of an association between entomological indices and malaria transmission dynamics, which could be used as an early warning system for outbreak prediction.
ISSN:0007-4853
1475-2670
DOI:10.1017/S0007485319000725