Literature DB >> 2059742

Contributions to the mathematical theory of epidemics--II. The problem of endemicity.1932.

W O Kermack1, A G McKendrick.   

Abstract

(1) A mathematical investigation has been made of the prevalence of a disease in a population from which certain individuals are being removed as the result of the disease, whilst fresh individuals are being introduced as the result of birth or immigration. Allowance is made for the effects of the immunity produced as the result of an attack of the disease, but the effect of deaths from other causes is not taken into account, and the action of the disease is supposed to be independent of the age of the individual. (2) As a special case of the above, results have been obtained for a closed population in which no deaths occur and to which no fresh individuals are added, but in which the individuals after being infected acquire immunity, and then may be again infected. A threshold density of population exists analogous to that described in the previous paper, which is such that no disease can exist in a population, the density of which is below the threshold. (3) In other special cases investigated when either immigration or birth is operative in the supply of fresh individuals, as well as in the general case, only one steady state of disease is possible. To reach this state the population must be of a certain density which will be determined by the functions characterizing the infectivity, morbidity, etc., of the disease. (4) Increase of the immigration rate or of the birth-rate results in an increase in the rate of infection of the healthy individuals and also in the percentage rate of infection, the percentage of sick, and in the percentage of mortality from the disease. This result is, of course, a necessary consequence of our assumption that the disease is the only cause of death. (5) More particular results have been obtained by substituting constants in the place of the undetermined functions assumed in the general theory. Further, under these conditions the nature of the steady states has been more fully investigated and it has been shown that in all cases, except one, the steady states are stable ones. In the exception, a disturbance would result in purely periodic oscillations about the steady state.

Entities:  

Mesh:

Year:  1991        PMID: 2059742     DOI: 10.1007/bf02464424

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  30 in total

1.  Dynamics analysis and optimal control of SIVR epidemic model with incomplete immunity.

Authors:  Yiming Liu; Shuang Jian; Jianguo Gao
Journal:  Adv Contin Discret Model       Date:  2022-07-18

2.  Nonlinear dynamic analysis of an epidemiological model for COVID-19 including public behavior and government action.

Authors:  C A K Kwuimy; Foad Nazari; Xun Jiao; Pejman Rohani; C Nataraj
Journal:  Nonlinear Dyn       Date:  2020-07-16       Impact factor: 5.022

3.  Understanding COVID-19 nonlinear multi-scale dynamic spreading in Italy.

Authors:  Giuseppe Quaranta; Giovanni Formica; J Tenreiro Machado; Walter Lacarbonara; Sami F Masri
Journal:  Nonlinear Dyn       Date:  2020-09-01       Impact factor: 5.022

4.  MATI: An efficient algorithm for influence maximization in social networks.

Authors:  Maria-Evgenia G Rossi; Bowen Shi; Nikolaos Tziortziotis; Fragkiskos D Malliaros; Christos Giatsidis; Michalis Vazirgiannis
Journal:  PLoS One       Date:  2018-11-01       Impact factor: 3.240

Review 5.  Modeling of wildlife-associated zoonoses: applications and caveats.

Authors:  Kathleen A Alexander; Bryan L Lewis; Madhav Marathe; Stephen Eubank; Jason K Blackburn
Journal:  Vector Borne Zoonotic Dis       Date:  2012-11-30       Impact factor: 2.133

6.  A mathematical model for the spread of COVID-19 and control mechanisms in Saudi Arabia.

Authors:  Mostafa Bachar; Mohamed A Khamsi; Messaoud Bounkhel
Journal:  Adv Differ Equ       Date:  2021-05-14

7.  Disconnected, fragmented, or united? a trans-disciplinary review of network science.

Authors:  César A Hidalgo
Journal:  Appl Netw Sci       Date:  2016-07-20

8.  The economic value of R0 for selective breeding against microparasitic diseases.

Authors:  Kasper Janssen; Piter Bijma
Journal:  Genet Sel Evol       Date:  2020-01-31       Impact factor: 4.297

9.  Epidemic spread simulation in an area with a high-density crowd using a SEIR-based model.

Authors:  Jibiao Zhou; Sheng Dong; Changxi Ma; Yao Wu; Xiao Qiu
Journal:  PLoS One       Date:  2021-06-17       Impact factor: 3.240

10.  Explicit formulae for the peak time of an epidemic from the SIR model. Which approximant to use?

Authors:  Martin Kröger; Mustafa Turkyilmazoglu; Reinhard Schlickeiser
Journal:  Physica D       Date:  2021-06-24       Impact factor: 2.300

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.