Chammartin, Frédérique. Geostatistical model-based predictions of helminthiases risk to assist control interventions. 2014, Doctoral Thesis, University of Basel, Faculty of Science.
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Official URL: http://edoc.unibas.ch/diss/DissB_11118
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Abstract
A reduction in the burden caused by helminthic infections has been incorporated into the Millennium Development Goals (MDG). A good knowledge and understanding of the geographical distribution of the infections and reliable high resolution risk estimates are needed for cost-effective planning, targeting and monitoring of control interventions.
The work presented in this PhD thesis develops and implements the Bayesian geostatistical methodology for modelling helminthiases risk with a particular emphasis on Bayesian variable selection, the modelling of large spatial dataset and the spatio-temporal aspects of the distribution. Our applications focus on soil-transmitted helminth infections in Latin America where limited information on the geographical distribution and infection risk have hampered adequate control measures, as well as on schistosomiasis in Côte d’Ivoire, a country where implementation of interventions suffered from a decade of political instabilities.
This thesis provides important baseline information for control programmes and a benchmark upon which further estimates could be compared, as soon as new data become available and interventions are progressing.
The work presented in this PhD thesis develops and implements the Bayesian geostatistical methodology for modelling helminthiases risk with a particular emphasis on Bayesian variable selection, the modelling of large spatial dataset and the spatio-temporal aspects of the distribution. Our applications focus on soil-transmitted helminth infections in Latin America where limited information on the geographical distribution and infection risk have hampered adequate control measures, as well as on schistosomiasis in Côte d’Ivoire, a country where implementation of interventions suffered from a decade of political instabilities.
This thesis provides important baseline information for control programmes and a benchmark upon which further estimates could be compared, as soon as new data become available and interventions are progressing.
Advisors: | Utzinger, Jürg |
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Committee Members: | Vounatsou, Penelope and Bergquist, Robert |
Faculties and Departments: | 09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Former Units within Swiss TPH > Health Impact Assessment (Utzinger) |
UniBasel Contributors: | Utzinger, Jürg and Vounatsou, Penelope |
Item Type: | Thesis |
Thesis Subtype: | Doctoral Thesis |
Thesis no: | 11118 |
Thesis status: | Complete |
Number of Pages: | 174 S. |
Language: | English |
Identification Number: |
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edoc DOI: | |
Last Modified: | 22 Apr 2018 04:31 |
Deposited On: | 24 Mar 2015 13:37 |
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