Literature DB >> 8940971

The microsimulation approach to epidemiologic modeling of helminthic infections, with special reference to schistosomiasis.

J D Habbema1, S J De Vlas, A P Plaisier, G J Van Oortmarssen.   

Abstract

The microsimulation technique has been used since 1985 as a tool for epidemiologic modeling of helminthic infections. This technique is characterized by mimicking individual life histories, which makes it possible to include several relevant processes and mechanisms that have not so far been considered in applied modeling. Biological, epidemiologic, and social processes can be simulated in detail, which allows realistic prediction of the impact of control strategies. It is clear that careful quantification and validation of the many processes and parameters in the model requires close collaboration with experts working on control projects. In the development and application of a microsimulation model, we distinguish eight steps, ranging from the identification of questions the model will be designed to address, to the completion of a model that can be used as a routine decision-making tool in a control program.

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Year:  1996        PMID: 8940971     DOI: 10.4269/ajtmh.1996.55.165

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   2.345


  8 in total

Review 1.  Dynamic microsimulation models for health outcomes: a review.

Authors:  Carolyn M Rutter; Alan M Zaslavsky; Eric J Feuer
Journal:  Med Decis Making       Date:  2010-05-18       Impact factor: 2.583

2.  Lifetime prevalence estimates of major depression: an indirect estimation method and a quantification of recall bias.

Authors:  Michelle Elisabeth Kruijshaar; Jan Barendregt; Theo Vos; Ron de Graaf; Jan Spijker; Gavin Andrews
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

3.  Advances and challenges in predicting the impact of lymphatic filariasis elimination programmes by mathematical modelling.

Authors:  Wilma A Stolk; Sake J de Vlas; J Dik F Habbema
Journal:  Filaria J       Date:  2006-03-28

4.  Required duration of mass ivermectin treatment for onchocerciasis elimination in Africa: a comparative modelling analysis.

Authors:  Wilma A Stolk; Martin Walker; Luc E Coffeng; María-Gloria Basáñez; Sake J de Vlas
Journal:  Parasit Vectors       Date:  2015-10-22       Impact factor: 3.876

5.  Modelling the elimination of river blindness using long-term epidemiological and programmatic data from Mali and Senegal.

Authors:  Martin Walker; Wilma A Stolk; Matthew A Dixon; Christian Bottomley; Lamine Diawara; Mamadou O Traoré; Sake J de Vlas; María-Gloria Basáñez
Journal:  Epidemics       Date:  2017-03       Impact factor: 4.396

6.  Modeling the impact and costs of semiannual mass drug administration for accelerated elimination of lymphatic filariasis.

Authors:  Wilma A Stolk; Quirine A ten Bosch; Sake J de Vlas; Peter U Fischer; Gary J Weil; Ann S Goldman
Journal:  PLoS Negl Trop Dis       Date:  2013-01-03

7.  Mathematical modelling of lymphatic filariasis elimination programmes in India: required duration of mass drug administration and post-treatment level of infection indicators.

Authors:  Purushothaman Jambulingam; Swaminathan Subramanian; S J de Vlas; Chellasamy Vinubala; W A Stolk
Journal:  Parasit Vectors       Date:  2016-09-13       Impact factor: 3.876

8.  How Can Onchocerciasis Elimination in Africa Be Accelerated? Modeling the Impact of Increased Ivermectin Treatment Frequency and Complementary Vector Control.

Authors:  Suzanne Verver; Martin Walker; Young Eun Kim; Grace Fobi; Afework H Tekle; Honorat G M Zouré; Samuel Wanji; Daniel A Boakye; Annette C Kuesel; Sake J de Vlas; Michel Boussinesq; Maria-Gloria Basáñez; Wilma A Stolk
Journal:  Clin Infect Dis       Date:  2018-06-01       Impact factor: 9.079

  8 in total

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