Cargando…

Burden of congenital rubella syndrome (CRS) in India based on data from cross-sectional serosurveys, 2017 and 2019–20

BACKGROUND: India has set a goal to eliminate measles and rubella/Congenital Rubella Syndrome (CRS) by 2023. Towards this goal, India conducted nationwide supplementary immunization activity (SIA) with measles-rubella containing vaccine (MRCV) targeting children aged between 9 months to <15 years...

Descripción completa

Detalles Bibliográficos
Autores principales: Shanmugasundaram, Devika, Awasthi, Shally, Dwibedi, Bhagirathi, Geetha, S., Jain, Manish, Malik, Shikha, Patel, Bhupeshwari, Singh, Himabindu, Tripathi, Shalini, Viswanathan, Rajlakshmi, Agarwal, Anjoo, Bonu, Rajeswari, Jain, Shuchi, Jena, Saubhagya Kumar, Priyasree, J., Pushpalatha, K, Ali, Syed, Biswas, Debasis, Jain, Amita, Narang, Rahul, Madhuri, Sudha, George, Suji, Kaduskar, Ojas, Kiruthika, G., Sabarinathan, R., Sapakal, Gajanan, Gupta, Nivedita, Murhekar, Manoj V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8376255/
https://www.ncbi.nlm.nih.gov/pubmed/34297716
http://dx.doi.org/10.1371/journal.pntd.0009608
_version_ 1783740458712694784
author Shanmugasundaram, Devika
Awasthi, Shally
Dwibedi, Bhagirathi
Geetha, S.
Jain, Manish
Malik, Shikha
Patel, Bhupeshwari
Singh, Himabindu
Tripathi, Shalini
Viswanathan, Rajlakshmi
Agarwal, Anjoo
Bonu, Rajeswari
Jain, Shuchi
Jena, Saubhagya Kumar
Priyasree, J.
Pushpalatha, K
Ali, Syed
Biswas, Debasis
Jain, Amita
Narang, Rahul
Madhuri, Sudha
George, Suji
Kaduskar, Ojas
Kiruthika, G.
Sabarinathan, R.
Sapakal, Gajanan
Gupta, Nivedita
Murhekar, Manoj V.
author_facet Shanmugasundaram, Devika
Awasthi, Shally
Dwibedi, Bhagirathi
Geetha, S.
Jain, Manish
Malik, Shikha
Patel, Bhupeshwari
Singh, Himabindu
Tripathi, Shalini
Viswanathan, Rajlakshmi
Agarwal, Anjoo
Bonu, Rajeswari
Jain, Shuchi
Jena, Saubhagya Kumar
Priyasree, J.
Pushpalatha, K
Ali, Syed
Biswas, Debasis
Jain, Amita
Narang, Rahul
Madhuri, Sudha
George, Suji
Kaduskar, Ojas
Kiruthika, G.
Sabarinathan, R.
Sapakal, Gajanan
Gupta, Nivedita
Murhekar, Manoj V.
author_sort Shanmugasundaram, Devika
collection PubMed
description BACKGROUND: India has set a goal to eliminate measles and rubella/Congenital Rubella Syndrome (CRS) by 2023. Towards this goal, India conducted nationwide supplementary immunization activity (SIA) with measles-rubella containing vaccine (MRCV) targeting children aged between 9 months to <15 years and established a hospital-based sentinel surveillance for CRS. Reliable data about incidence of CRS is necessary to monitor progress towards the elimination goal. METHODS: We conducted serosurveys in 2019–20 among pregnant women attending antenatal clinics of 6 hospitals, which were also sentinel sites for CRS surveillance, to estimate the prevalence of IgG antibodies against rubella. We systematically sampled 1800 women attending antenatal clinics and tested their sera for IgG antibodies against rubella. We used rubella seroprevalence data from the current survey and the survey conducted in 2017 among antenatal women from another 6 CRS surveillance sites to construct a catalytic models to estimate the incidence and burden of CRS. RESULT: The seroprevalence of rubella antibodies was 82.3% (95% CI: 80.4–84.0). Rubella seropositivity did not differ by age group and educational status. Based on the constant and age-dependent force of infection models, we estimated that the annual incidence of CRS in India was 225.58 per 100,000 live births (95% CI: 217.49–232.41) and 65.47 per 100,000 live births (95% CI: 41.60–104.16) respectively. This translated to an estimated 14,520 (95% CI: 9,225–23,100) and 50,028 (95% CI: 48,234–51,543) infants with CRS every year based on age-dependent and constant force of infection models respectively. CONCLUSIONS: Our findings indicated that about one fifth of women in the reproductive age group in India were susceptible for rubella. The estimates of CRS incidence will serve as a baseline to monitor the impact of MRCV SIAs, as well progress towards the elimination goal of rubella/CRS.
format Online
Article
Text
id pubmed-8376255
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-83762552021-08-20 Burden of congenital rubella syndrome (CRS) in India based on data from cross-sectional serosurveys, 2017 and 2019–20 Shanmugasundaram, Devika Awasthi, Shally Dwibedi, Bhagirathi Geetha, S. Jain, Manish Malik, Shikha Patel, Bhupeshwari Singh, Himabindu Tripathi, Shalini Viswanathan, Rajlakshmi Agarwal, Anjoo Bonu, Rajeswari Jain, Shuchi Jena, Saubhagya Kumar Priyasree, J. Pushpalatha, K Ali, Syed Biswas, Debasis Jain, Amita Narang, Rahul Madhuri, Sudha George, Suji Kaduskar, Ojas Kiruthika, G. Sabarinathan, R. Sapakal, Gajanan Gupta, Nivedita Murhekar, Manoj V. PLoS Negl Trop Dis Research Article BACKGROUND: India has set a goal to eliminate measles and rubella/Congenital Rubella Syndrome (CRS) by 2023. Towards this goal, India conducted nationwide supplementary immunization activity (SIA) with measles-rubella containing vaccine (MRCV) targeting children aged between 9 months to <15 years and established a hospital-based sentinel surveillance for CRS. Reliable data about incidence of CRS is necessary to monitor progress towards the elimination goal. METHODS: We conducted serosurveys in 2019–20 among pregnant women attending antenatal clinics of 6 hospitals, which were also sentinel sites for CRS surveillance, to estimate the prevalence of IgG antibodies against rubella. We systematically sampled 1800 women attending antenatal clinics and tested their sera for IgG antibodies against rubella. We used rubella seroprevalence data from the current survey and the survey conducted in 2017 among antenatal women from another 6 CRS surveillance sites to construct a catalytic models to estimate the incidence and burden of CRS. RESULT: The seroprevalence of rubella antibodies was 82.3% (95% CI: 80.4–84.0). Rubella seropositivity did not differ by age group and educational status. Based on the constant and age-dependent force of infection models, we estimated that the annual incidence of CRS in India was 225.58 per 100,000 live births (95% CI: 217.49–232.41) and 65.47 per 100,000 live births (95% CI: 41.60–104.16) respectively. This translated to an estimated 14,520 (95% CI: 9,225–23,100) and 50,028 (95% CI: 48,234–51,543) infants with CRS every year based on age-dependent and constant force of infection models respectively. CONCLUSIONS: Our findings indicated that about one fifth of women in the reproductive age group in India were susceptible for rubella. The estimates of CRS incidence will serve as a baseline to monitor the impact of MRCV SIAs, as well progress towards the elimination goal of rubella/CRS. Public Library of Science 2021-07-23 /pmc/articles/PMC8376255/ /pubmed/34297716 http://dx.doi.org/10.1371/journal.pntd.0009608 Text en © 2021 Shanmugasundaram et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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
Shanmugasundaram, Devika
Awasthi, Shally
Dwibedi, Bhagirathi
Geetha, S.
Jain, Manish
Malik, Shikha
Patel, Bhupeshwari
Singh, Himabindu
Tripathi, Shalini
Viswanathan, Rajlakshmi
Agarwal, Anjoo
Bonu, Rajeswari
Jain, Shuchi
Jena, Saubhagya Kumar
Priyasree, J.
Pushpalatha, K
Ali, Syed
Biswas, Debasis
Jain, Amita
Narang, Rahul
Madhuri, Sudha
George, Suji
Kaduskar, Ojas
Kiruthika, G.
Sabarinathan, R.
Sapakal, Gajanan
Gupta, Nivedita
Murhekar, Manoj V.
Burden of congenital rubella syndrome (CRS) in India based on data from cross-sectional serosurveys, 2017 and 2019–20
title Burden of congenital rubella syndrome (CRS) in India based on data from cross-sectional serosurveys, 2017 and 2019–20
title_full Burden of congenital rubella syndrome (CRS) in India based on data from cross-sectional serosurveys, 2017 and 2019–20
title_fullStr Burden of congenital rubella syndrome (CRS) in India based on data from cross-sectional serosurveys, 2017 and 2019–20
title_full_unstemmed Burden of congenital rubella syndrome (CRS) in India based on data from cross-sectional serosurveys, 2017 and 2019–20
title_short Burden of congenital rubella syndrome (CRS) in India based on data from cross-sectional serosurveys, 2017 and 2019–20
title_sort burden of congenital rubella syndrome (crs) in india based on data from cross-sectional serosurveys, 2017 and 2019–20
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8376255/
https://www.ncbi.nlm.nih.gov/pubmed/34297716
http://dx.doi.org/10.1371/journal.pntd.0009608
work_keys_str_mv AT shanmugasundaramdevika burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT awasthishally burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT dwibedibhagirathi burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT geethas burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT jainmanish burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT malikshikha burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT patelbhupeshwari burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT singhhimabindu burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT tripathishalini burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT viswanathanrajlakshmi burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT agarwalanjoo burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT bonurajeswari burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT jainshuchi burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT jenasaubhagyakumar burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT priyasreej burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT pushpalathak burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT alisyed burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT biswasdebasis burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT jainamita burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT narangrahul burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT madhurisudha burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT georgesuji burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT kaduskarojas burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT kiruthikag burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT sabarinathanr burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT sapakalgajanan burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT guptanivedita burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920
AT murhekarmanojv burdenofcongenitalrubellasyndromecrsinindiabasedondatafromcrosssectionalserosurveys2017and201920