Paper
7 September 2023 Location analysis of nucleic testing vehicles based on dynamic programming
Zongshuo Guo
Author Affiliations +
Proceedings Volume 12789, International Conference on Modern Medicine and Global Health (ICMMGH 2023); 127892H (2023) https://doi.org/10.1117/12.3000118
Event: International Conference on Modern Medicine and Global Health (ICMMGH 2023), 2023, Oxford, United Kingdom
Abstract
Since the outbreak of the Covid-19, people’s production and life have been greatly affected. In order to protect people’s health and minimize the impact of the epidemic on economic and social development, China has implemented a ”Dynamic clearing” policy. Precise prevention can minimize the impact of the epidemic on the economy and society. With the normalization of nucleic testing and in order to achieve convenience and benefit for the people, ensuring that all those in need are tested, nucleic testing vehicle are becoming more and more widly used in various cities. However, the site selection of nucleic testing vehicle requires consideration of multiple factors. For example, the distance of nucleic testing vehicle from communities and business districts, the population of each location, even the traffic conditions, etc. These factors will affect the efficiency of nucleic testing. In this paper, we make some reasonable assumptions and model the situation in various condition. The use of algorithms such as dynamic programming and divide and conquer algorithm improves the efficiency of nucleic testing.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zongshuo Guo "Location analysis of nucleic testing vehicles based on dynamic programming", Proc. SPIE 12789, International Conference on Modern Medicine and Global Health (ICMMGH 2023), 127892H (7 September 2023); https://doi.org/10.1117/12.3000118
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KEYWORDS
Computer programming

Nucleic acids

Buildings

COVID 19

Analytical research

Computer simulations

Industry

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