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    Leveraging Real-Time Population-Scale GPS Data to Forecast and Identify Components of Epidemic Dynamics by Dr Alejandra Hidalgo, Dr Steven Schulz, Dr Ashish Thampi, Richard Pastor

    Published 2025-03-01
    “…It allows us to explore the effect of viral transmissibility without relying on molecular biology, enhancing our ability to monitor public health interventions. [1] Schulz, Steven, et al. https://doi.org/10.1101/2023.03.02.23286502 [2] Jin, Yuxue, et al. https://research.google/pubs/bayesian-methods-for-media-mix-modeling-with-carryover-and-shape-effects/…”
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    Changes in air pollutant emissions in China during two clean-air action periods derived from the newly developed Inversed Emission Inventory for Chinese Air Quality (CAQIEI) by L. Kong, L. Kong, X. Tang, X. Tang, Z. Wang, Z. Wang, Z. Wang, J. Zhu, J. Zhu, J. Li, H. Wu, H. Wu, Q. Wu, H. Chen, H. Chen, L. Zhu, W. Wang, B. Liu, Q. Wang, D. Chen, Y. Pan, Y. Pan, J. Li, J. Li, L. Wu, L. Wu, G. R. Carmichael

    Published 2024-09-01
    “…<p><span id="page4352"/>A new long-term emission inventory called the Inversed Emission Inventory for Chinese Air Quality (CAQIEI) was developed in this study by assimilating surface observations from the China National Environmental Monitoring Centre (CNEMC) using an ensemble Kalman filter (EnKF) and the Nested Air Quality Prediction Modeling System. This inventory contains the constrained monthly emissions of NO<span class="inline-formula"><sub><i>x</i></sub></span>, SO<span class="inline-formula"><sub>2</sub></span>, CO, primary PM<span class="inline-formula"><sub>2.5</sub></span>, primary PM<span class="inline-formula"><sub>10</sub></span>, and non-methane volatile organic compounds (NMVOCs) in China from 2013 to 2020, with a horizontal resolution of 15 km <span class="inline-formula">×</span> 15 km. …”
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