IMO: A Toolbox for Simulating and Querying “Infected” Moving Objects
Summary: IMO is a SECONDO-embedded toolbox for simulating COVID-19 infection propagation over moving-object trajectories, including isolation, mobility restrictions, and mask policies. It uniquely supports querying and visualizing infected objects, with optimized storage, partitioning, and indexing. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Jianqiu Xu (Nanjing University)
- 2. Hua Lu (Roskilde University)
- 3. Zhifeng Bao (RMIT University)
BibTeX Citation
@article{xu_vldb20,
title = {{IMO: A Toolbox for Simulating and Querying “Infected” Moving Objects}},
author = {Xu, Jianqiu and Lu, Hua and Bao, Zhifeng},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {2825--2828},
doi = {10.14778/3415478.3415485},
url = {https://doi.org/10.14778/3415478.3415485},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,877 | Continuous Social Distance Monitoring in Indoor Space | 2022 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,959 | A Demonstration of ST-Hadoop: A MapReduce Framework for Big Spatio-temporal Data | 2017 | VLDB | 5.933383e-05 |
| 7,659 | Ratel: Interactive Analytics for Large Scale Trajectories | 2019 | SIGMOD | 5.4772833e-05 |
| 7,660 | TRIPS: A System for Translating Raw Indoor Positioning Data into Visual Mobility Semantics | 2018 | VLDB | 5.4772833e-05 |
| 12,220 | DITA: A Distributed In-Memory Trajectory Analytics System | 2018 | SIGMOD | 4.9793485e-05 |
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