Mathematical models to study the biology of pathogens and the infectious diseases they cause.
Computer modeling
Infection control in health technology
Microbiology
Journal
iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038
Informations de publication
Date de publication:
15 Apr 2022
15 Apr 2022
Historique:
entrez:
1
4
2022
pubmed:
2
4
2022
medline:
2
4
2022
Statut:
epublish
Résumé
Mathematical models have many applications in infectious diseases: epidemiologists use them to forecast outbreaks and design containment strategies; systems biologists use them to study complex processes sustaining pathogens, from the metabolic networks empowering microbial cells to ecological networks in the microbiome that protects its host. Here, we (1) review important models relevant to infectious diseases, (2) draw parallels among models ranging widely in scale. We end by discussing a minimal set of information for a model to promote its use by others and to enable predictions that help us better fight pathogens and the diseases they cause.
Identifiants
pubmed: 35359802
doi: 10.1016/j.isci.2022.104079
pii: S2589-0042(22)00349-2
pmc: PMC8961237
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
104079Subventions
Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States
Organisme : NIAID NIH HHS
ID : U01 AI124290
Pays : United States
Organisme : NIAID NIH HHS
ID : U19 AI135964
Pays : United States
Informations de copyright
© 2022 The Author(s).
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