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  • title: Towards a spatio-temporal deep learning approach to predict malaria outbreaks using earth observation measurements in South Asia
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            Towards a spatio-temporal deep learning approach to predict malaria outbreaks using earth observation measurements in South Asia
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            Towards a spatio-temporal deep learning approach to predict malaria outbreaks using earth observation measurements in South Asia

            Dec 15, 2023

            Speakers

            UN

            Usman Nazir

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            AE

            Ahzam Ejaz

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            MTQ

            Muhammad Talha Quddoos

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            About

            Environment plays an important role in health in/equity and it holds potential for community-level intervention. However, there are important gaps in the literature about the impact of changing environment on an individual's health across countries. The overarching objective of this paper is to examine how changes in the environment (green spaces, temperature, night-time lights, built environment, etc.) influence health equity by applying Multi-dimensional LSTM (M-LSTM) to routine collected data…

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            NeurIPS 2023

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