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Short-term Prediction of the Incidence of Congenital Rubella Syndrome
Objectives In Japan, a rubella outbreak occurred from early 2012 to late 2013, primarily among adult males aged 20–49 years. We conducted this study to predict the number of congenital rubella syndrome (CRS) cases in Japan in 2014. Methods The probability of CRS when a pregnant woman is infected wit...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4234431/ https://www.ncbi.nlm.nih.gov/pubmed/25642379 http://dx.doi.org/10.1371/currents.outbreaks.8c74272f4348781c5d01c81e6150c2f7 |
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author | Ohkusa, Yasushi Sugawara, Tamie Arai, Satoru Satoh, Hiroshi Okuno, Hideo Tanaka-Taya, Keiko Oishi, Kazunori |
author_facet | Ohkusa, Yasushi Sugawara, Tamie Arai, Satoru Satoh, Hiroshi Okuno, Hideo Tanaka-Taya, Keiko Oishi, Kazunori |
author_sort | Ohkusa, Yasushi |
collection | PubMed |
description | Objectives In Japan, a rubella outbreak occurred from early 2012 to late 2013, primarily among adult males aged 20–49 years. We conducted this study to predict the number of congenital rubella syndrome (CRS) cases in Japan in 2014. Methods The probability of CRS when a pregnant woman is infected with rubella depends on the gestational age of the fetus. The cumulative number of CRS cases was predicted by a formula based on the parameters from two studies conducted in the U.K. and the U.S., the reported cases of rubella among women 15–49 years of age, and the reports of CRS from 2011 to week 2 of 2014. Findings While the predicted number of cases of CRS based on parameters from the U.K. study demonstrated a biphasic curve, with a low peak around week 12 and a high peak around week 50 of 2013, the predicted number of CRS cases based on the U.S. study demonstrated a single peak around week 50 of 2013. The ex post evaluation indicated that the cumulative number of CRS cases in 2014 would be 19.1–29.3. Interpretation Our prediction of the number of CRS cases may be useful for the enhanced detection of this often under-reported syndrome. |
format | Online Article Text |
id | pubmed-4234431 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-42344312015-01-29 Short-term Prediction of the Incidence of Congenital Rubella Syndrome Ohkusa, Yasushi Sugawara, Tamie Arai, Satoru Satoh, Hiroshi Okuno, Hideo Tanaka-Taya, Keiko Oishi, Kazunori PLoS Curr Research Objectives In Japan, a rubella outbreak occurred from early 2012 to late 2013, primarily among adult males aged 20–49 years. We conducted this study to predict the number of congenital rubella syndrome (CRS) cases in Japan in 2014. Methods The probability of CRS when a pregnant woman is infected with rubella depends on the gestational age of the fetus. The cumulative number of CRS cases was predicted by a formula based on the parameters from two studies conducted in the U.K. and the U.S., the reported cases of rubella among women 15–49 years of age, and the reports of CRS from 2011 to week 2 of 2014. Findings While the predicted number of cases of CRS based on parameters from the U.K. study demonstrated a biphasic curve, with a low peak around week 12 and a high peak around week 50 of 2013, the predicted number of CRS cases based on the U.S. study demonstrated a single peak around week 50 of 2013. The ex post evaluation indicated that the cumulative number of CRS cases in 2014 would be 19.1–29.3. Interpretation Our prediction of the number of CRS cases may be useful for the enhanced detection of this often under-reported syndrome. Public Library of Science 2014-10-30 /pmc/articles/PMC4234431/ /pubmed/25642379 http://dx.doi.org/10.1371/currents.outbreaks.8c74272f4348781c5d01c81e6150c2f7 Text en http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Ohkusa, Yasushi Sugawara, Tamie Arai, Satoru Satoh, Hiroshi Okuno, Hideo Tanaka-Taya, Keiko Oishi, Kazunori Short-term Prediction of the Incidence of Congenital Rubella Syndrome |
title | Short-term Prediction of the Incidence of Congenital Rubella Syndrome |
title_full | Short-term Prediction of the Incidence of Congenital Rubella Syndrome |
title_fullStr | Short-term Prediction of the Incidence of Congenital Rubella Syndrome |
title_full_unstemmed | Short-term Prediction of the Incidence of Congenital Rubella Syndrome |
title_short | Short-term Prediction of the Incidence of Congenital Rubella Syndrome |
title_sort | short-term prediction of the incidence of congenital rubella syndrome |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4234431/ https://www.ncbi.nlm.nih.gov/pubmed/25642379 http://dx.doi.org/10.1371/currents.outbreaks.8c74272f4348781c5d01c81e6150c2f7 |
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