A simple model for complex dynamical transitions in epidemics.
Dramatic changes in patterns of epidemics have been observed throughout this century. For childhood infectious diseases such as measles, the major transitions are between regular cycles and irregular, possibly chaotic epidemics, and from regionally synchronized oscillations to complex, spatially incoherent epidemics. A simple model can explain both kinds of transitions as the consequences of changes in birth and vaccination rates. Measles is a natural ecological system that exhibits different dynamical transitions at different times and places, yet all of these transitions can be predicted as bifurcations of a single nonlinear model.
Earn
D J
DJ
Department of Mathematics and Statistics, McMaster University, Hamilton, Ontario L8S 4K1, Canada. earn@math.mcmaster.ca
Rohani
P
P
Bolker
B M
BM
Grenfell
B T
BT
D015142:Baltimore / Q000453:epidemiology; D001723:Birth Rate; D002648:Child; D003906:Developing Countries; D004196:Disease Outbreaks; D004198:Disease Susceptibility; D004739:England / Q000453:epidemiology; D004812:Epidemiologic Methods; D006801:Humans; D015994:Incidence; D008131:London / Q000453:epidemiology; D008457:Measles / Q000453:epidemiology* / Q000635:transmission; D008458:Measles Vaccine; D009010:Monte Carlo Method; D009519:New York City / Q000453:epidemiology; D017711:Nonlinear Dynamics; D012621:Seasons; D014611:Vaccination
D008458:Measles Vaccine