Linked within-host and between-host models and data for infectious diseases: a systematic review.
Between-host
Data-model integration
Infectious disease models
Linking mechanism
Mulit-scale modeling
Pathogen transmission
SIR models
Within-host
Journal
PeerJ
ISSN: 2167-8359
Titre abrégé: PeerJ
Pays: United States
ID NLM: 101603425
Informations de publication
Date de publication:
2019
2019
Historique:
received:
07
01
2019
accepted:
28
04
2019
entrez:
29
6
2019
pubmed:
30
6
2019
medline:
30
6
2019
Statut:
epublish
Résumé
The observed dynamics of infectious diseases are driven by processes across multiple scales. Here we focus on two: within-host, that is, how an infection progresses inside a single individual (for instance viral and immune dynamics), and between-host, that is, how the infection is transmitted between multiple individuals of a host population. The dynamics of each of these may be influenced by the other, particularly across evolutionary time. Thus understanding each of these scales, and the links between them, is necessary for a holistic understanding of the spread of infectious diseases. One approach to combining these scales is through mathematical modeling. We conducted a systematic review of the published literature on multi-scale mathematical models of disease transmission (as defined by combining within-host and between-host scales) to determine the extent to which mathematical models are being used to understand across-scale transmission, and the extent to which these models are being confronted with data. Following the PRISMA guidelines for systematic reviews, we identified 24 of 197 qualifying papers across 30 years that include both linked models at the within and between host scales and that used data to parameterize/calibrate models. We find that the approach that incorporates both modeling with data is under-utilized, if increasing. This highlights the need for better communication and collaboration between modelers and empiricists to build well-calibrated models that both improve understanding and may be used for prediction.
Identifiants
pubmed: 31249734
doi: 10.7717/peerj.7057
pii: 7057
pmc: PMC6589080
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e7057Déclaration de conflit d'intérêts
The authors declare that they have no competing interests.
Références
J Theor Biol. 2005 Feb 7;232(3):411-26
pubmed: 15572065
Proc Biol Sci. 2005 Feb 22;272(1561):403-10
pubmed: 15734695
Am Nat. 2006 Mar;167(3):429-39
pubmed: 16673350
Trends Parasitol. 2007 Jun;23(6):284-91
pubmed: 17466597
Trends Microbiol. 2008 Apr;16(4):165-72
pubmed: 18356058
Trends Ecol Evol. 2008 Sep;23(9):511-7
pubmed: 18657880
Am Nat. 2008 Dec;172(6):E244-56
pubmed: 18999939
Ann Intern Med. 2009 Aug 18;151(4):264-9, W64
pubmed: 19622511
Ecology. 2009 Sep;90(9):2414-25
pubmed: 19769120
Int J Parasitol. 2010 Sep;40(11):1317-24
pubmed: 20553727
Bull Math Biol. 1991;53(1-2):33-55
pubmed: 2059741
Trends Microbiol. 2011 Jan;19(1):24-32
pubmed: 21055948
Trends Parasitol. 2011 May;27(5):197-203
pubmed: 21345732
PLoS Comput Biol. 2011 Mar;7(3):e1002015
pubmed: 21483468
Evolution. 2011 Nov;65(11):3298-310
pubmed: 22023593
Evolution. 2011 Dec;65(12):3448-61
pubmed: 22133217
Infect Genet Evol. 2013 Jan;13:344-7
pubmed: 22465537
J Virol. 2012 Aug;86(16):8568-80
pubmed: 22674992
Vaccine. 2012 Jun 19;30(29):4369-76
pubmed: 22682293
PLoS One. 2012;7(8):e43115
pubmed: 22952637
Prev Vet Med. 2013 Apr 1;109(1-2):47-57
pubmed: 23040120
Vet Q. 2012;32(3-4):169-78
pubmed: 23121091
J R Soc Interface. 2013 Feb 13;10(81):20120921
pubmed: 23407571
Epidemics. 2013 Mar;5(1):34-43
pubmed: 23438429
PLoS Comput Biol. 2013;9(3):e1002989
pubmed: 23555223
J Theor Biol. 2013 Sep 7;332:267-90
pubmed: 23608630
Proc Natl Acad Sci U S A. 2013 May 28;110(22):9072-7
pubmed: 23674683
PLoS One. 2013 Nov 26;8(11):e70578
pubmed: 24302983
PLoS One. 2014 Jan 22;9(1):e86568
pubmed: 24466153
PLoS Comput Biol. 2014 Apr 03;10(4):e1003505
pubmed: 24699231
Proc Biol Sci. 2014 Jul 22;281(1787):null
pubmed: 24898369
Math Biosci. 2014 Oct;256:58-78
pubmed: 25149595
PLoS Comput Biol. 2014 Dec 18;10(12):e1003899
pubmed: 25522184
Epidemics. 2015 Mar;10:88-92
pubmed: 25843391
Trends Ecol Evol. 2015 Jun;30(6):314-26
pubmed: 25907430
Philos Trans R Soc Lond B Biol Sci. 2015 Aug 19;370(1675):null
pubmed: 26150665
Philos Trans R Soc Lond B Biol Sci. 2015 Aug 19;370(1675):null
pubmed: 26150668
Bull Math Biol. 2016 Sep;78(9):1796-1827
pubmed: 27651156
PLoS Comput Biol. 2017 Jan 13;13(1):e1005316
pubmed: 28085876
Mol Biol Evol. 2017 May 1;34(5):1276-1288
pubmed: 28204593
Evol Appl. 2017 Feb 11;10(3):297-309
pubmed: 28250813
Philos Trans R Soc Lond B Biol Sci. 2017 May 5;372(1719):
pubmed: 28289260
J Biol Dyn. 2017 Dec;11(1):378-435
pubmed: 28849734
BMC Infect Dis. 2017 Sep 11;17(1):612
pubmed: 28893198
PeerJ. 2017 Sep 28;5:e3877
pubmed: 28970973
Curr Opin Virol. 2018 Feb;28:92-101
pubmed: 29275182
J Theor Biol. 2018 Jun 7;446:137-148
pubmed: 29391172
J Theor Biol. 2018 Jun 14;447:25-31
pubmed: 29555432
PLoS Biol. 2018 Mar 28;16(3):e2004444
pubmed: 29590105
Genes (Basel). 2018 Jun 25;9(7):null
pubmed: 29941858
Annu Rev Virol. 2018 Sep 29;5(1):69-92
pubmed: 30048219
Philos Trans R Soc Lond B Biol Sci. 2018 Oct 5;373(1757):
pubmed: 30150228
Science. 1996 Mar 15;271(5255):1582-6
pubmed: 8599114