PubMed Health⌕ Search

PubMed · 8400571

The "deterministic simple epidemic" unmasked.

Abstract

We derive a simple but surprising connection between the "deterministic epidemic with recovery" and the spatial birth-and-death process, and discuss its implications for the use of nonlinear differential equation models for the spatial spread of epidemics. This paper consists of a manuscript dating back to 1977, which has been widely referred to in the literature but not previously published, and its more recent extension to include recovery/death in the processes considered, with some additional comments. To aid reference, we retain the original title.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

D Mollison, H Daniels. The "deterministic simple epidemic" unmasked.. https://doi.org/10.1016/0025-5564(93)90020-b

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Application of the promotion time cure model with time-changing exposure to the study of HIV/AIDS and other infectious diseases.

Infectious diseases are caused by single or successive contacts with pathogens. Nevertheless, contacts with pathogens do not implicate infection. In 1993, Yakovlev et al. proposed a model to study a population of cancer patients with a cured fraction, a well adapted model to describe an infectious disease with a unique infection occasion. Extensions of this model have been proposed in the recent years. We present a mechanistic formulation in the context of infectious diseases with multiple infection occasions. It is a mixture model that enables to study risk factors associated with infection intensity at each infection occasion and factors shortening the delay from exposure to clinical event. Simulations are performed to evaluate the model fitting and two examples are presented for illustration: an analysis of an HIV-1 mother-to-child transmission data set and an analysis of nosocomial urinary tract infections data set.

Communicable Diseases↗

On observing and analyzing disease versus signals.

The immune system has co-evolved with microbes that cause acute infectious disease. Immune responses must be appropriate to allow survival of both the individual and the species. These responses involve complex interactions that often go unmeasured.

Communicable Diseases↗