Pregled bibliografske jedinice broj: 825614
Dynamically rich, yet parameter-sparse models for spatial epidemiology: Comment on "Coupled disease-behavior dynamics on complex networks: A review" by Z. Wang et al.
Dynamically rich, yet parameter-sparse models for spatial epidemiology: Comment on "Coupled disease-behavior dynamics on complex networks: A review" by Z. Wang et al. // Physics of life reviews, 15 (2015), 43-46 doi::10.1016/j.plrev.2015.09.006 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 825614 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Dynamically rich, yet parameter-sparse models for spatial epidemiology: Comment on "Coupled disease-behavior dynamics on complex networks: A review" by Z. Wang et al.
Autori
Jusup, M ; Iwami, Shingo ; Podobnik, Boris ; Stanley H. Eugene
Izvornik
Physics of life reviews (1571-0645) 15
(2015);
43-46
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
disease–behavior dynamics ; risk management ; parameter estimation ; heterogeneous topology ; phase transitions
Sažetak
Since the very inception of mathematical modeling in epidemiology, scientists exploited the simplicity ingrained in the assumption of a well-mixed population. For example, perhaps the earliest susceptible–infectious–recovered (SIR) model developed by L. Reed and W. H . Frost in the 1920s, included the well-mixed assumption such that any two individuals in the population could meet each other.
Izvorni jezik
Engleski
Znanstvena područja
Fizika, Javno zdravstvo i zdravstvena zaštita
POVEZANOST RADA
Ustanove:
Građevinski fakultet, Rijeka,
Zagrebačka škola ekonomije i managementa, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE
