Research
Title : | Modelling the impact of sensor performance on epidemic management |
Area of research : | COVID-19 Research, Life Sciences & Biotechnology |
Focus area : | Epidemic Management |
Principal Investigator : | Prof Manoj Varma, Indian Institute of Science (IISc), Bengaluru |
Timeline Start Year : | 2020 |
Timeline End Year : | 2020 |
Contact info : | mvarma@iisc.ac.in |
Details
Executive Summary : | The study proposes to create a discrete, stochastic agent-based network model where each agent has a set of associated contacts and a mobility pattern matching observed statistical distributions. |
Outcome/Output: | A continuous mathematical model referred to as the susceptible infected tested quarantined recovered (SITQR) model is developed. Positivity depends on performance parameters such as false positive rates. Positive test results lead to quarantining. Using the model, two categories of tests are available. One test which is high-performance, but which is also more expensive and time-consuming (analogous to the RT-PCR tests) and the other which is relatively less performing, less expensive and rapid (analogous to the rapid antibody or rapid-antigen tests). |
Organizations involved
Implementing Agency : | Indian Institute of Science (IISc), Bengaluru Funding Agency :Department of Science and Technology (DST), Govt of India | |