Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Deiner, Michael S., Worden, Lee, Rittel, Alex, Ackley, Sarah F., Liu, Fengchen, Blum, Laura, Scott, James C., Lietman, Thomas M., Porco, Travis C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
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
_version_ 1783257478422593536
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
work_keys_str_mv AT deinermichaels shorttermleprosyforecastingfromanexpertopinionsurvey
AT wordenlee shorttermleprosyforecastingfromanexpertopinionsurvey
AT rittelalex shorttermleprosyforecastingfromanexpertopinionsurvey
AT ackleysarahf shorttermleprosyforecastingfromanexpertopinionsurvey
AT liufengchen shorttermleprosyforecastingfromanexpertopinionsurvey
AT blumlaura shorttermleprosyforecastingfromanexpertopinionsurvey
AT scottjamesc shorttermleprosyforecastingfromanexpertopinionsurvey
AT lietmanthomasm shorttermleprosyforecastingfromanexpertopinionsurvey
AT porcotravisc shorttermleprosyforecastingfromanexpertopinionsurvey