Literature DB >> 10575401

SIMLEP: a simulation model for leprosy transmission and control.

A Meima1, M D Gupte, G J van Oortmarssen, J D Habbema.   

Abstract

SIMLEP is a computer program for modeling the transmission and control of leprosy which can be used to project epidemiologic trends over time, producing output on indicators such as prevalence, incidence and case-detection rates of leprosy. In SIMLEP, health states have been defined that represent immunologic conditions and stages of leprosy infection and disease. Three types of interventions are incorporated: vaccination, case detection and chemotherapy treatment. Uncertainties about leprosy have led to a flexible design in which the user chooses which of many aspects should be included in the model. These aspects include natural immunity, asymptomatic infection, type distribution of new cases, delay between onset of disease and start of chemotherapy, and mechanisms for leprosy transmission. An example run illustrates input and output of the program. The output produced by SIMLEP can be readily compared with observed data, which allows for validation studies. The support that SIMLEP can give to health policy research and actual decision making will depend upon the extent of validation that has been achieved. SIMLEP can be used to improve the understanding of observed leprosy trends, for example, in relation to early detection campaigns and the use of multidrug therapy, by exploring which combinations of assumptions can explain these trends. In addition, SIMLEP allows for scenario analysis in which the effects of control strategies combining different interventions can be simulated and evaluated.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10575401

Source DB:  PubMed          Journal:  Int J Lepr Other Mycobact Dis        ISSN: 0148-916X


  12 in total

1.  Leprosy elimination: not as straightforward as it seemed.

Authors:  Paul R Saunderson
Journal:  Public Health Rep       Date:  2008 Mar-Apr       Impact factor: 2.792

2.  The effects of progressing and nonprogressing Mycobacterium avium ssp. paratuberculosis infection on milk production in dairy cows.

Authors:  Rebecca L Smith; Y T Gröhn; A K Pradhan; R H Whitlock; J S Van Kessel; J M Smith; D R Wolfgang; Y H Schukken
Journal:  J Dairy Sci       Date:  2015-12-10       Impact factor: 4.034

3.  A new compartmental model of Mycobacterium avium subsp. paratuberculosis infection dynamics in cattle.

Authors:  Rebecca L Smith; Ynte H Schukken; Yrjö T Gröhn
Journal:  Prev Vet Med       Date:  2015-10-21       Impact factor: 2.670

4.  Use of Approximate Bayesian Computation to Assess and Fit Models of Mycobacterium leprae to Predict Outcomes of the Brazilian Control Program.

Authors:  Rebecca Lee Smith; Yrjö Tapio Gröhn
Journal:  PLoS One       Date:  2015-06-24       Impact factor: 3.240

5.  Proposing a Compartmental Model for Leprosy and Parameterizing Using Regional Incidence in Brazil.

Authors:  Rebecca Lee Smith
Journal:  PLoS Negl Trop Dis       Date:  2016-08-17

6.  Minimum requirements and optimal testing strategies of a diagnostic test for leprosy as a tool towards zero transmission: A modeling study.

Authors:  David J Blok; Sake J de Vlas; Annemieke Geluk; Jan Hendrik Richardus
Journal:  PLoS Negl Trop Dis       Date:  2018-05-25

7.  Forecasting the new case detection rate of leprosy in four states of Brazil: A comparison of modelling approaches.

Authors:  David J Blok; Ronald E Crump; Ram Sundaresh; Martial Ndeffo-Mbah; Alison P Galvani; Travis C Porco; Sake J de Vlas; Graham F Medley; Jan Hendrik Richardus
Journal:  Epidemics       Date:  2017-03       Impact factor: 4.396

8.  Global elimination of leprosy by 2020: are we on track?

Authors:  David J Blok; Sake J De Vlas; Jan Hendrik Richardus
Journal:  Parasit Vectors       Date:  2015-10-22       Impact factor: 3.876

9.  Leprosy New Case Detection Trends and the Future Effect of Preventive Interventions in Pará State, Brazil: A Modelling Study.

Authors:  Haroldo José de Matos; David J Blok; Sake J de Vlas; Jan Hendrik Richardus
Journal:  PLoS Negl Trop Dis       Date:  2016-03-03

10.  Policy Lessons From Quantitative Modeling of Leprosy.

Authors:  Graham F Medley; David J Blok; Ronald E Crump; T Déirdre Hollingsworth; Alison P Galvani; Martial L Ndeffo-Mbah; Travis C Porco; Jan Hendrik Richardus
Journal:  Clin Infect Dis       Date:  2018-06-01       Impact factor: 9.079

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.