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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...

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Autores principales: Ohkusa, Yasushi, Sugawara, Tamie, Arai, Satoru, Satoh, Hiroshi, Okuno, Hideo, Tanaka-Taya, Keiko, Oishi, Kazunori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
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.
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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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