Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Proceedings of the International Conference on Modern Medicine and Global Health (ICMMGH 2023)
Series Vol. 6 , 03 August 2023
Open
Access | Article
How diseases spread through social networks
* Author to whom correspondence should be addressed.
Abstract
This paper uses the main concept of centrality accompanied by the theory of “the strength of weak ties” to explain how social networks facilitate the spread of major diseases. The major diseases that this paper would take a look at are the COVID virus, smallpox, and cholera. Be-fore doing so, a brief introduction would be made and the paper would infer some research that utilizes social network models and helps the paper to further elaborate. Eventually, the paper would conclude with the reasons if applying social networks to the study of the spread of diseases could help with understanding the spread or not. As well as the fact to see what factors could interfere with the process.
Keywords
centrality, degree centrality, social network models
References
1. Garcia David, “Centrality in social networks” 2021, https://dgarcia-eu.github.io/SocialDataScience/4_SNA/044_Centrality/Centrality.html
2. Granovetter, Mark, “The Strength of Weak Ties” jstor.org, May 1973, https://www.jstor.org/stable/2776392
3. Salathé Marcel, Kazandjieva Maria, Lee Jung Woo, Jones James, “A high-resolution human contact network for infectious disease transmission” PNAS, 13 Dec 2010, https://www.pnas.org/doi/10.1073/pnas.1009094108#fig03
4. Zelner, Jonathan L et al. “Social connectedness and disease transmission: social organiza-tion, cohesion, village context, and infection risk in rural Ecuador.” American journal of public health, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3519324/
5. Read, Jonathan M, et al. “Dynamic social networks and the implications for the spread of in-fectious disease.” National Library of Medicine, 4 Mar 2008. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2607433/
6. Giorgi Rossi, Paolo et al. “Factors Influencing the Accuracy of Infectious Disease Reporting in Migrants: A Scoping Review.” International journal of environmental research and public health vol. 14,7 720. 5 Jul. 2017, doi:10.3390/ijerph14070720
7. Maheshwari, Parul et al. “Network model and analysis of the spread of Covid 19 with social distancing.” Public Medicine, 1 Jan 2020 https://pubmed.ncbi.nlm.nih.gov/33392389/
8. History of Smallpox | Smallpox | CDC. (2021, February 20). History of Smallpox | Smallpox | CDC. https://www.cdc.gov/smallpox/history/history.html
9. Giebultowicz, Sophia et al. “The simultaneous effects of spatial and social networks on cholera transmission.” Interdisciplinary perspectives on infectious diseases. 7 Dec 2011. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3236480/
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the International Conference on Modern Medicine and Global Health (ICMMGH 2023)
- ISBN (Print)
- 978-1-915371-65-2
- ISBN (Online)
- 978-1-915371-66-9
- Published Date
- 03 August 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/6/20230252
- Copyright
- © 2023 The Author(s)
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited