Force-of-infection of Taenia solium porcine cysticercosis: a modelling analysis to assess global incidence and prevalence trends
The World Health Organization (WHO) called, in 2012, for a validated strategy towards Taenia solium taeniasis/cysticercosis control and elimination. Estimating pig force-of-infection (FoI, the average rate at which susceptible pigs become infected) across geographical settings will help understand l...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2020
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/109918 |
| _version_ | 1855535176568799232 |
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| author | Dixon, Matthew A. Winskill, Peter Harrison, Wendy E. Whittaker, Charles Schmidt, Veronika Sarti, E. Bawm, S. Dione, Michel M. Thomas, Lian F. Walker, M. Basáñez, M.-G. |
| author_browse | Basáñez, M.-G. Bawm, S. Dione, Michel M. Dixon, Matthew A. Harrison, Wendy E. Sarti, E. Schmidt, Veronika Thomas, Lian F. Walker, M. Whittaker, Charles Winskill, Peter |
| author_facet | Dixon, Matthew A. Winskill, Peter Harrison, Wendy E. Whittaker, Charles Schmidt, Veronika Sarti, E. Bawm, S. Dione, Michel M. Thomas, Lian F. Walker, M. Basáñez, M.-G. |
| author_sort | Dixon, Matthew A. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The World Health Organization (WHO) called, in 2012, for a validated strategy towards Taenia solium taeniasis/cysticercosis control and elimination. Estimating pig force-of-infection (FoI, the average rate at which susceptible pigs become infected) across geographical settings will help understand local epidemiology and inform effective intervention design. Porcine cysticercosis (PCC) age-prevalence data (from 15 studies in Latin America, Africa and Asia) were identified through systematic review. Catalytic models were fitted to the data using Bayesian methods, incorporating uncertainty in diagnostic performance, to estimate rates of antibody seroconversion, viable metacestode acquisition, and seroreversion/infection loss. There was evidence of antibody seroreversion across 5 studies, and of infection loss in 6 studies measured by antigen or necropsy, indicating transient serological responses and natural resolution of infection. Concerted efforts should be made to collect robust data using improved diagnostics to better understand geographical heterogeneities in T. solium transmission to support post-2020 WHO targets. |
| format | Journal Article |
| id | CGSpace109918 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1099182025-12-08T10:06:44Z Force-of-infection of Taenia solium porcine cysticercosis: a modelling analysis to assess global incidence and prevalence trends Dixon, Matthew A. Winskill, Peter Harrison, Wendy E. Whittaker, Charles Schmidt, Veronika Sarti, E. Bawm, S. Dione, Michel M. Thomas, Lian F. Walker, M. Basáñez, M.-G. animal diseases zoonoses cysticercosis swine epidemiology The World Health Organization (WHO) called, in 2012, for a validated strategy towards Taenia solium taeniasis/cysticercosis control and elimination. Estimating pig force-of-infection (FoI, the average rate at which susceptible pigs become infected) across geographical settings will help understand local epidemiology and inform effective intervention design. Porcine cysticercosis (PCC) age-prevalence data (from 15 studies in Latin America, Africa and Asia) were identified through systematic review. Catalytic models were fitted to the data using Bayesian methods, incorporating uncertainty in diagnostic performance, to estimate rates of antibody seroconversion, viable metacestode acquisition, and seroreversion/infection loss. There was evidence of antibody seroreversion across 5 studies, and of infection loss in 6 studies measured by antigen or necropsy, indicating transient serological responses and natural resolution of infection. Concerted efforts should be made to collect robust data using improved diagnostics to better understand geographical heterogeneities in T. solium transmission to support post-2020 WHO targets. 2020-10-19 2020-10-20T19:19:01Z 2020-10-20T19:19:01Z Journal Article https://hdl.handle.net/10568/109918 en Open Access Springer Dixon, M.A., Winskill, P., Harrison, W.E., Whittaker, C., Schmidt, V., Sarti, E., Bawm, S., Dione, M.M., Thomas, L.F., Walker, M. and Basáñez, M.-G. 2020. Force-of-infection of Taenia solium porcine cysticercosis: a modelling analysis to assess global incidence and prevalence trends. Scientific Reports 10: 17637. https://doi.org/10.1038/s41598-020-74007-x |
| spellingShingle | animal diseases zoonoses cysticercosis swine epidemiology Dixon, Matthew A. Winskill, Peter Harrison, Wendy E. Whittaker, Charles Schmidt, Veronika Sarti, E. Bawm, S. Dione, Michel M. Thomas, Lian F. Walker, M. Basáñez, M.-G. Force-of-infection of Taenia solium porcine cysticercosis: a modelling analysis to assess global incidence and prevalence trends |
| title | Force-of-infection of Taenia solium porcine cysticercosis: a modelling analysis to assess global incidence and prevalence trends |
| title_full | Force-of-infection of Taenia solium porcine cysticercosis: a modelling analysis to assess global incidence and prevalence trends |
| title_fullStr | Force-of-infection of Taenia solium porcine cysticercosis: a modelling analysis to assess global incidence and prevalence trends |
| title_full_unstemmed | Force-of-infection of Taenia solium porcine cysticercosis: a modelling analysis to assess global incidence and prevalence trends |
| title_short | Force-of-infection of Taenia solium porcine cysticercosis: a modelling analysis to assess global incidence and prevalence trends |
| title_sort | force of infection of taenia solium porcine cysticercosis a modelling analysis to assess global incidence and prevalence trends |
| topic | animal diseases zoonoses cysticercosis swine epidemiology |
| url | https://hdl.handle.net/10568/109918 |
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