Covid19 - Revision history

Admin: /* Relevant Articles/Publication on Research Used in the above work: */

2024-11-18T02:04:44Z

‎Relevant Articles/Publication on Research Used in the above work:

Admin: /* Tutorials */

2024-11-18T02:03:39Z

‎Tutorials

Admin: /* Tutorials */

2024-09-13T14:12:30Z

‎Tutorials

Admin: /* Tutorials */

2024-09-13T14:12:21Z

‎Tutorials

Ugur: /* People */

2020-11-21T00:41:33Z

‎People

Admin: /* Covid19 Mask Analysis Program (CMAP) */

2020-11-13T15:09:02Z

‎Covid19 Mask Analysis Program (CMAP)

Admin at 02:22, 1 November 2020

2020-11-01T02:22:01Z

Admin at 02:19, 1 November 2020

2020-11-01T02:19:00Z

Admin at 05:04, 31 October 2020

2020-10-31T05:04:02Z

Admin at 01:51, 31 October 2020

2020-10-31T01:51:21Z

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 ==Relevant Articles/Publication on Research Used in the above work:==
 # Parth Asawa, Manas Gaur, Kaushik Roy, and Amit Sheth. "COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data." Proceedings of AAAI 2020 Fall Symposium on AI for Social Good.
 # Ugur Kursuncu, Manas Gaur, and Amit Sheth. "Knowledge infused learning (K-IL): Towards deep incorporation of knowledge in deep learning." Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE 2020). Stanford University, Palo Alto, California, USA, March 23-25, 2020.

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 =Tutorials=
-* Vedant Khandelwal, Manas Gaur, Ugur Kursuncu, Valerie Shalin, and Amit Sheth. "Neuro-Symbolic AI for Deep Analysis of Social Media Big Data" (Tutorial), In IEEE International Conference on Big Data, December 2024.
+* Vedant Khandelwal, Manas Gaur, Ugur Kursuncu, Valerie Shalin, and Amit Sheth. [https://aiisc.ai/smbd24/ "Neuro-Symbolic AI for Deep Analysis of Social Media Big Data"] (Tutorial), In IEEE International Conference on Big Data, December 2024.
 * Gaur, M., Kursuncu, U., Sheth, A. Yadav, S. & Wickramarachchi (2020), [http://kidl2020.aiisc.ai/ "Hypertext 2020 Tutorial: Knowledge-infused Deep Learning"], In 31st ACM Conference on Hypertext and Social Media (HT'20), Florida, USA

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 =Tutorials=
 * Vedant Khandelwal, Manas Gaur, Ugur Kursuncu, Valerie Shalin, and Amit Sheth. "Neuro-Symbolic AI for Deep Analysis of Social Media Big Data" (Tutorial), In IEEE International Conference on Big Data, December 2024.
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 =Tutorials=
 * Gaur, M., Kursuncu, U., Sheth, A. Yadav, S. & Wickramarachchi (2020), [http://kidl2020.aiisc.ai/ "Hypertext 2020 Tutorial: Knowledge-infused Deep Learning"], In 31st ACM Conference on Hypertext and Social Media (HT'20), Florida, USA
+* Vedant Khandelwal, Manas Gaur, Ugur Kursuncu, Valerie Shalin, and Amit Sheth. "Neuro-Symbolic AI for Deep Analysis of Social Media Big Data" (Tutorial), In IEEE International Conference on Big Data, December 2024.
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 '''Postdoctoral Researchers:''' [https://www.linkedin.com/in/ugurkursuncu/ Dr. Ugur Kursuncu] <br />
-'''Graduate Students:''' [https://manasgaur.github.io/ Manas Gaur], Vedant Khandelwal, Usha Lokala <br />
+'''Graduate Students:''' [https://manasgaur.github.io/ Manas Gaur], Vedant Khandelwal, Vishal Pallagani, Usha Lokala <br />
 This research is funded in part by NSF Award "Spokes: MEDIUM: MIDWEST: Collaborative: Community-Driven Data Engineering for Substance Abuse Prevention in the Rural Midwest" (Award#: 1956009)

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 '''News Coverage:'''
 * [https://www.postandcourier.com/health/usc-researchers-build-model-showing-how-many-coronavirus-infections-masks-prevent/article_2836a01a-0a5e-11eb-96a3-b7b40871cd32.html] '''USC researchers build model showing how many coronavirus infections masks prevent, Post & Courier, 10 Oct 2020'''
 '''Paper:'''

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 <embedvideo service="youtube">https://youtu.be/NjmnLi80sHU</embedvideo>
-==News Coverage==
+'''News Coverage:'''
 * [https://www.postandcourier.com/health/usc-researchers-build-model-showing-how-many-coronavirus-infections-masks-prevent/article_2836a01a-0a5e-11eb-96a3-b7b40871cd32.html] '''USC researchers build model showing how many coronavirus infections masks prevent, Post & Courier, 10 Oct 2020'''
-==Paper==
+'''Paper:'''
 # [https://www.researchgate.net/publication/344849186_A_Nation-Wide_Tool_To_Understand_Impact_of_COVID19_Related_Mask_Policies_Using_Robust_Synthetic_Control] Sparsh Johri, Kartikaya Srivastava, Chinmayi Appajigowda, Lokesh Johri and Biplav Srivastava. "A Nation-Wide Tool To Understand Impact of COVID19 Related Mask Policies Using Robust Synthetic Control."
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 * [https://theconversation.com/were-measuring-online-conversation-to-track-the-social-and-mental-health-issues-surfacing-during-the-coronavirus-pandemic-135417]''' We’re measuring online conversation to track the social and mental health issues surfacing during the coronavirus pandemic, The Conversation, 20 April 2020'''
 * [https://www.healthline.com/health-news/what-your-social-media-posts-reveal-about-how-youre-dealing-with-covid-19#How-social-media-posts-can-impact-outcomes] '''What Your Social Media Posts Say About Your Stress Level Right Now, Healthline, 30 April 2020'''
 Other Relevant Research:
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 See the video to see the tool in action and read the demonstration paper for details.
 As an example of output, CMAP shows that for Richland county, SC, intervention by June 1, 2020 would have been most consequential in saving lives compared to July 1 or Aug 1.
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 ==Relevant Articles/Publication on Research Used in the above work:==
-# [https://www.researchgate.net/publication/344849186_A_Nation-Wide_Tool_To_Understand_Impact_of_COVID19_Related_Mask_Policies_Using_Robust_Synthetic_Control] Sparsh Johri, Kartikaya Srivastava, Chinmayi Appajigowda, Lokesh Johri and Biplav Srivastava. "A Nation-Wide Tool To Understand Impact of COVID19 Related Mask Policies Using Robust Synthetic Control."
 # Parth Asawa, Manas Gaur, Kaushik Roy, and Amit Sheth. "COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data." Proceedings of AAAI 2020 Fall Symposium on AI for Social Good.
 # Ugur Kursuncu, Manas Gaur, and Amit Sheth. "Knowledge infused learning (K-IL): Towards deep incorporation of knowledge in deep learning." Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE 2020). Stanford University, Palo Alto, California, USA, March 23-25, 2020.

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 ==Covid19 Mask Analysis Program (CMAP)==
-The tool, CMAP, was developed by interns at the startup, Tantiv4 I was advising. CMAP is based on robust synthetic control techniques and uses New York Times' data about mask adherence and cases to answer counter-factual questions. It covers counties around the country. A demonstration paper about CMAP is available.
+COVID19 is a global pandemic whose impact in regions around the world has varied widely, as measured by the number of cases and deaths, depending on the local demographics as well as public health policies implemented in response, e.g., mask coverings. In this work, we present a tool called COVID Mask Analyzer Program (CMAP) that can be used to understand the impact of mask policies at local and national scale. Internally, the tool uses the well established techniques of robust synthetic control and New York Times' data about mask adherence and cases to answer counter-factual questions.
-As example of output, for Richland county, SC, CMAP shows that intervention by June 1, 2020 would have been most consequential in saving lives compared to July 1 or Aug 1.
+CMAP was developed in partnership between Tantiv4 and the PI at the AI Institute. It uses advanced data cleaning and normalization methods, and covers counties around the United States. This work opens up new avenues of research in human-machine collaboration to foster data-driven public health policies.
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