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Short-term leprosy forecasting from an expert opinion survey
We conducted an expert survey of leprosy (Hansen’s Disease) and neglected tropical disease experts in February 2016. Experts were asked to forecast the next year of reported cases for the world, for the top three countries, and for selected states and territories of India. A total of 103 respondents...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5558979/ https://www.ncbi.nlm.nih.gov/pubmed/28813531 http://dx.doi.org/10.1371/journal.pone.0182245 |
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author | Deiner, Michael S. Worden, Lee Rittel, Alex Ackley, Sarah F. Liu, Fengchen Blum, Laura Scott, James C. Lietman, Thomas M. Porco, Travis C. |
author_facet | Deiner, Michael S. Worden, Lee Rittel, Alex Ackley, Sarah F. Liu, Fengchen Blum, Laura Scott, James C. Lietman, Thomas M. Porco, Travis C. |
author_sort | Deiner, Michael S. |
collection | PubMed |
description | We conducted an expert survey of leprosy (Hansen’s Disease) and neglected tropical disease experts in February 2016. Experts were asked to forecast the next year of reported cases for the world, for the top three countries, and for selected states and territories of India. A total of 103 respondents answered at least one forecasting question. We elicited lower and upper confidence bounds. Comparing these results to regression and exponential smoothing, we found no evidence that any forecasting method outperformed the others. We found evidence that experts who believed it was more likely to achieve global interruption of transmission goals and disability reduction goals had higher error scores for India and Indonesia, but lower for Brazil. Even for a disease whose epidemiology changes on a slow time scale, forecasting exercises such as we conducted are simple and practical. We believe they can be used on a routine basis in public health. |
format | Online Article Text |
id | pubmed-5558979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-55589792017-08-25 Short-term leprosy forecasting from an expert opinion survey Deiner, Michael S. Worden, Lee Rittel, Alex Ackley, Sarah F. Liu, Fengchen Blum, Laura Scott, James C. Lietman, Thomas M. Porco, Travis C. PLoS One Research Article We conducted an expert survey of leprosy (Hansen’s Disease) and neglected tropical disease experts in February 2016. Experts were asked to forecast the next year of reported cases for the world, for the top three countries, and for selected states and territories of India. A total of 103 respondents answered at least one forecasting question. We elicited lower and upper confidence bounds. Comparing these results to regression and exponential smoothing, we found no evidence that any forecasting method outperformed the others. We found evidence that experts who believed it was more likely to achieve global interruption of transmission goals and disability reduction goals had higher error scores for India and Indonesia, but lower for Brazil. Even for a disease whose epidemiology changes on a slow time scale, forecasting exercises such as we conducted are simple and practical. We believe they can be used on a routine basis in public health. Public Library of Science 2017-08-16 /pmc/articles/PMC5558979/ /pubmed/28813531 http://dx.doi.org/10.1371/journal.pone.0182245 Text en © 2017 Deiner et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Deiner, Michael S. Worden, Lee Rittel, Alex Ackley, Sarah F. Liu, Fengchen Blum, Laura Scott, James C. Lietman, Thomas M. Porco, Travis C. Short-term leprosy forecasting from an expert opinion survey |
title | Short-term leprosy forecasting from an expert opinion survey |
title_full | Short-term leprosy forecasting from an expert opinion survey |
title_fullStr | Short-term leprosy forecasting from an expert opinion survey |
title_full_unstemmed | Short-term leprosy forecasting from an expert opinion survey |
title_short | Short-term leprosy forecasting from an expert opinion survey |
title_sort | short-term leprosy forecasting from an expert opinion survey |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5558979/ https://www.ncbi.nlm.nih.gov/pubmed/28813531 http://dx.doi.org/10.1371/journal.pone.0182245 |
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