INFEKTA-An agent-based model for transmission of infectious diseases: The COVID-19 case in Bogotá, Colombia.

Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Original Publication: San Francisco, CA : Public Library of Science

COVID-19*/epidemiology ; COVID-19*/transmission ; Models, Biological* ; SARS-CoV-2*; Colombia/epidemiology ; Humans ; Systems Analysis

The transmission dynamics of the coronavirus-COVID-19-have challenged humankind at almost every level. Currently, research groups around the globe are trying to figure out such transmission dynamics under special conditions such as separation policies enforced by governments. Mathematical and computational models, like the compartmental model or the agent-based model, are being used for this purpose. This paper proposes an agent-based model, called INFEKTA, for simulating the transmission of infectious diseases, not only the COVID-19, under social distancing policies. INFEKTA combines the transmission dynamic of a specific disease, (according to parameters found in the literature) with demographic information (population density, age, and genre of individuals) of geopolitical regions of the real town or city under study. Agents (virtual persons) can move, according to its mobility routines and the enforced social distancing policy, on a complex network of accessible places defined over an Euclidean space representing the town or city. The transmission dynamics of the COVID-19 under different social distancing policies in Bogotá city, the capital of Colombia, is simulated using INFEKTA with one million virtual persons. A sensitivity analysis of the impact of social distancing policies indicates that it is possible to establish a 'medium' (i.e., close 40% of the places) social distancing policy to achieve a significant reduction in the disease transmission.
Competing Interests: The authors have declared that no competing interests exist.

Influenza Other Respir Viruses. 2010 Mar;4(2):61-72. (PMID: 20167046)
BMC Infect Dis. 2017 Sep 11;17(1):612. (PMID: 28893198)
Wiley Interdiscip Rev Syst Biol Med. 2009 Sep-Oct;1(2):159-171. (PMID: 20835989)
Bioengineered. 2014 Mar-Apr;5(2):73-9. (PMID: 24145961)
Proc Natl Acad Sci U S A. 2002 Feb 5;99(3):1538-43. (PMID: 11818527)
PLoS One. 2016 Dec 12;11(12):e0167160. (PMID: 27941976)
Nature. 2005 Sep 8;437(7056):209-14. (PMID: 16079797)
PLoS Comput Biol. 2010 Apr 08;6(4):e1000736. (PMID: 20386735)
BMC Infect Dis. 2013 Jun 28;13:294. (PMID: 23809195)
Science. 2002 Nov 15;298(5597):1428-32. (PMID: 12434061)
JAMA. 2020 Apr 28;323(16):1574-1581. (PMID: 32250385)
Annu Rev Public Health. 2012 Apr;33:357-76. (PMID: 22224885)
Int J Epidemiol. 2010 Feb;39(1):97-106. (PMID: 19820105)
Lancet. 2011 Aug 6;378(9790):515-25. (PMID: 21481448)
Pharmacoeconomics. 2011 May;29(5):371-86. (PMID: 21504239)
PLoS One. 2011;6(5):e20139. (PMID: 21687788)
Epidemics. 2015 Mar;10:78-82. (PMID: 25843389)
BMJ. 2020 Apr 2;369:m1375. (PMID: 32241884)
Nat Commun. 2020 Nov 11;11(1):5710. (PMID: 33177507)
PLoS Med. 2008 Mar 25;5(3):e74. (PMID: 18366252)
Science. 2020 Apr 24;368(6489):395-400. (PMID: 32144116)

Date Created: 20210219 Date Completed: 20210301 Latest Revision: 20210303

20240105

PMC7894857

10.1371/journal.pone.0245787

33606714