Efforts have been made to quantify the spatio-temporal malaria transmission intensity over India using the dynamical malaria model, namely, Vector-borne Disease Community Model of International Centre for Theoretical Physics Trieste (VECTRI). The likely effect of climate change in the variability of malaria transmission intensity over different parts of India is also investigated. The Historical data and future projection scenarios of the rainfall and temperature derived from the Coupled Model Intercomparison Project Phase 5 (CMIP5) model output are used for this purpose. The Entomological Inoculation Rate (EIR) and Vector are taken as quantifiers of malaria transmission intensity. It is shown that the maximum number of malaria cases over India occur during the Sept–Oct months, whereas the minimum during the Feb–Apr months. The malaria transmission intensity as well as length of transmission season over India is likely to increase in the future climate as a result of global warming.

已经努力使用动态疟疾模型（即国际理论物理的里雅斯特中心（VECTRI）的媒介传播疾病共同体模型）来量化印度在整个时空的疟疾传播强度。还研究了气候变化对印度不同地区疟疾传播强度变异性的可能影响。从耦合模型比较项目第5阶段（CMIP5）模型输出中得出的降雨和温度的历史数据和未来的预测方案可用于此目的。昆虫接种率（EIR）和媒介被视为疟疾传播强度的量化指标。结果表明，印度全境疟疾病例数最高，发生在9月至10月，而最低数发生在2月至4月。