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.

中文翻译：

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矢量动力学预测传播动力学：一种简单、现实和明智的疟疾流行测量方法

媒介密度、分布、生物学和生物经济学等昆虫学指标及其媒介属性是衡量疟疾传播模式和强度的重要参数。尽管已发表的文章为昆虫学指标与疟疾传播动力学之间存在关联提供了证据，但没有一篇文章能够建立很强的相关性。为了解决这个问题，本研究旨在评估疟疾传播如何受到影响，并可以通过当地主要媒介动态进行预测。我们进行了主要的昆虫学评估按蚊媒介丰度、习性/栖息地、休息和摄食行为、感染率和其他昆虫学参数。结果表明，在印度奥里萨邦卡拉汉迪地区的高流行地区，疟疾传播与媒介控制干预和非干预情景相关。在所有指标中，与两个研究期间的感染性或食人性载体物种相比，感染性食人病媒与疟疾发病率建立了强正相关。尽管其他昆虫学参数影响传播强度，但在研究地点之间几乎没有检测到可量化的关联。这项研究为昆虫学指标与疟疾传播动力学之间的关联提供了强有力的基线证据，可用作疫情预测的早期预警系统。