Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19最新文献

COVID-19 Joint Pandemic Modeling and Analysis Platform COVID-19联合大流行建模与分析平台

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19 Pub Date : 2020-11-03 DOI: 10.1145/3423459.3430760

Gautam S. Thakur, Kevin A. Sparks, A. Berres, Varisara Tansakul, S. Chinthavali, M. Whitehead, Erik Schmidt, Haowen Xu, Junchuan Fan, Dustin Spears, Elton Cranfill

引用次数: 14

Sensitivity Analysis for COVID-19 Epidemiological Models within a Geographic Framework 地理框架下COVID-19流行病学模型的敏感性分析

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19 Pub Date : 2020-11-03 DOI: 10.1145/3423459.3430755

Zhongying Wang, Orhun Aydin

引用次数: 10

Using Animation to Visualize Spatio-Temporal Varying COVID-19 Data 使用动画可视化时空变化的COVID-19数据

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19 Pub Date : 2020-11-03 DOI: 10.1145/3423459.3430761

H. Samet, Yunheng Han, J. Kastner, Hong Wei

引用次数: 15

On Improving Toll Accuracy for COVID-like Epidemics in Underserved Communities Using User-generated Data 关于利用用户生成数据提高服务不足社区covid - 19流行病收费准确性的研究

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19 Pub Date : 2020-11-03 DOI: 10.1145/3423459.3430758

H. Aboubakr, A. Magdy

{"title":"On Improving Toll Accuracy for COVID-like Epidemics in Underserved Communities Using User-generated Data","authors":"H. Aboubakr, A. Magdy","doi":"10.1145/3423459.3430758","DOIUrl":"https://doi.org/10.1145/3423459.3430758","url":null,"abstract":"This paper envisions using user-generated data as a cheap way to improve accuracy of epidemic tolls in underserved communities. The global widespread of COVID-19 pandemic has imposed several unprecedented challenges. One of these challenges is constantly monitoring the unprecedented epidemic widespread at a fine-granular spatial scale, so experts can model, understand, and prevent disease transmission and field personnel can reach and treat infected people. Unfortunately, the limited resources compared to the pandemic widespread has led to a significant number of unreported cases in underserved communities and developing countries, including a large number of severe cases. We propose in this paper enhancing epidemic case reporting in underserved communities through exploiting the power of data that are posted by people on web. Our vision is building a data analysis pipeline that filters and categories use-generated data objects to provide informal estimates for tolls in unreachable regions and enhance estimates in other regions. The pipeline consist of five stages, that starts with filtering epidemic-specific data to visualize advanced aggregates to end users. We also discuss several technical challenges that face different stages of the pipeline.","PeriodicalId":118865,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133226785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Analysis of the Impact of COVID-19 on Education Based on Geotagged Twitter 基于地理标签Twitter的新冠肺炎疫情对教育的影响分析

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19 Pub Date : 2020-11-03 DOI: 10.1145/3423459.3430756

Zhu Wang, I. Cruz

引用次数: 8

Infection Risk Score: Identifying the risk of infection propagation based on human contact 感染风险评分:根据人类接触确定感染传播的风险

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19 Pub Date : 2020-09-26 DOI: 10.1145/3423459.3430754

R. Agarwal, Abhik Banerjee

{"title":"Infection Risk Score: Identifying the risk of infection propagation based on human contact","authors":"R. Agarwal, Abhik Banerjee","doi":"10.1145/3423459.3430754","DOIUrl":"https://doi.org/10.1145/3423459.3430754","url":null,"abstract":"A wide range of approaches have been applied to manage the spread of global pandemic events such as COVID-19, which have met with varying degrees of success. Given the large-scale social and economic impact coupled with the increasing time span of the pandemic, it is important to not only manage the spread of the disease but also put extra efforts on measures that expedite resumption of social and economic life. It is therefore important to identify situations that carry high risk, and act early whenever such situations are identified. While a large number of mobile applications have been developed, they are aimed at obtaining information that can be used for contact tracing, but not at estimating the risk of social situations. In this paper, we introduce an infection risk score that provides an estimate of the infection risk arising from human contacts. Using a real-world human contact dataset, we show that the proposed risk score can provide a realistic estimate of the level of risk in the population. We also describe how the proposed infection risk score can be implemented on smartphones. Finally, we identify representative use cases that can leverage the risk score to minimize infection propagation.","PeriodicalId":118865,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131821198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

COVID-19 Risk Estimation using a Time-varying SIR-model 基于时变sir模型的COVID-19风险评估

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19 Pub Date : 2020-08-11 DOI: 10.1145/3423459.3430759

Mehrdad Kiamari, G. Ramachandran, Quynh Nguyen, Eva Pereira, Jeanne Holm, B. Krishnamachari

引用次数: 20

Corona Games: Masks, Social Distancing and Mechanism Design Corona Games:面具、社交距离和机制设计

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19 Pub Date : 2020-06-11 DOI: 10.1145/3423459.3430757

Balázs Pejó, G. Biczók

引用次数: 24

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19 第一届ACM SIGSPATIAL建模和理解COVID-19传播国际研讨会论文集

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19 Pub Date : 1900-01-01 DOI: 10.1145/3423459

引用次数: 0