» Articles » PMID: 34173491

Pandemics, Epidemics, Viruses, Plagues, and Disease: Comparative Frequency Analysis of a Cultural Pathology Reflected in Science Fiction Magazines from 1926 to 2015

Overview
Date 2021 Jun 26
PMID 34173491
Citations 3
Authors
Affiliations
Soon will be listed here.
Abstract

Science fiction includes many dystopian narratives, often featuring epidemics, pandemics, plagues, viruses, and disease. As science fiction has grown in popularity and prevalence it appeals to an increasingly broad demographic, is employed in research communication and education, and as a genre it is frequently argued that it reflects contemporary cultural interests and concerns. To identify the relevance of science fiction as an indicator of popular trends relating to the pathologies of disease, a word frequency comparison of selected key words found in the Google Books 2012 English Corpus has been made to a representative corpus of science fiction magazines dating between 1926 and 2015. Selected issues were reviewed to identify concepts, situations, and outcomes that could readily be measured against real-world examples from current and recent pandemics. The findings indicate that science fiction does appear to mirror and magnify contemporary literary trends, and provides potentially revealing correlations to real-world historical events. In this regard, science fiction might be regarded as a form of 'cultural pathology' of popular interests related to the spread and impact of disease that may be valuable in gauging the degree to which society is engaged with these topics at any specific time.

Citing Articles

Can science fiction engagement predict identification with all humanity? Testing a moderated mediation model.

Wu F, Zhou M, Zhang Z Front Psychol. 2022; 13:943069.

PMID: 36059753 PMC: 9435529. DOI: 10.3389/fpsyg.2022.943069.


Science fiction has become reality: Best practice for future viral pandemics.

Wright D, Kirkpatrick C Br J Clin Pharmacol. 2021; 87(9):3385-3387.

PMID: 34296460 PMC: 8444651. DOI: 10.1111/bcp.14997.


The Role of Social Media in the Advent of COVID-19 Pandemic: Crisis Management, Mental Health Challenges and Implications.

Abbas J, Wang D, Su Z, Ziapour A Risk Manag Healthc Policy. 2021; 14:1917-1932.

PMID: 34012304 PMC: 8126999. DOI: 10.2147/RMHP.S284313.

References
1.
Thompson P, Batista-Navarro R, Kontonatsios G, Carter J, Toon E, McNaught J . Text Mining the History of Medicine. PLoS One. 2016; 11(1):e0144717. PMC: 4703377. DOI: 10.1371/journal.pone.0144717. View

2.
Jones K, Patel N, Levy M, Storeygard A, Balk D, Gittleman J . Global trends in emerging infectious diseases. Nature. 2008; 451(7181):990-3. PMC: 5960580. DOI: 10.1038/nature06536. View

3.
Rodriguez-Esteban R . Biomedical text mining and its applications. PLoS Comput Biol. 2009; 5(12):e1000597. PMC: 2791166. DOI: 10.1371/journal.pcbi.1000597. View

4.
Wang S, Ding Y, Zhao W, Huang Y, Perkins R, Zou W . Text mining for identifying topics in the literatures about adolescent substance use and depression. BMC Public Health. 2016; 16:279. PMC: 4799597. DOI: 10.1186/s12889-016-2932-1. View

5.
Abbe A, Grouin C, Zweigenbaum P, Falissard B . Text mining applications in psychiatry: a systematic literature review. Int J Methods Psychiatr Res. 2015; 25(2):86-100. PMC: 6877250. DOI: 10.1002/mpr.1481. View