Cargando…
Severe acute respiratory illness surveillance for coronavirus disease 2019, India, 2020
BACKGROUND & OBJECTIVES: Sentinel surveillance among severe acute respiratory illness (SARI) patients can help identify the spread and extent of transmission of coronavirus disease 2019 (COVID-19). SARI surveillance was initiated in the early phase of the COVID-19 outbreak in India. We describe...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357403/ https://www.ncbi.nlm.nih.gov/pubmed/32362647 http://dx.doi.org/10.4103/ijmr.IJMR_1035_20 |
_version_ | 1783558678934192128 |
---|---|
author | Gupta, Nivedita Praharaj, Ira Bhatnagar, Tarun Vivian Thangaraj, Jeromie Wesley Giri, Sidhartha Chauhan, Himanshu Kulkarni, Sanket Murhekar, Manoj Singh, Sujeet Gangakhedkar, Raman R. Bhargava, Balram |
author_facet | Gupta, Nivedita Praharaj, Ira Bhatnagar, Tarun Vivian Thangaraj, Jeromie Wesley Giri, Sidhartha Chauhan, Himanshu Kulkarni, Sanket Murhekar, Manoj Singh, Sujeet Gangakhedkar, Raman R. Bhargava, Balram |
author_sort | Gupta, Nivedita |
collection | PubMed |
description | BACKGROUND & OBJECTIVES: Sentinel surveillance among severe acute respiratory illness (SARI) patients can help identify the spread and extent of transmission of coronavirus disease 2019 (COVID-19). SARI surveillance was initiated in the early phase of the COVID-19 outbreak in India. We describe here the positivity for COVID-19 among SARI patients and their characteristics. METHODS: SARI patients admitted at 41 sentinel sites from February 15, 2020 onwards were tested for COVID-19 by real-time reverse transcription-polymerase chain reaction, targeting E and RdRp genes of SARS-CoV-2. Data were extracted from Virus Research and Diagnostic Laboratory Network for analysis. RESULTS: A total of 104 (1.8%) of the 5,911 SARI patients tested were positive for COVID-19. These cases were reported from 52 districts in 20 States/Union Territories. The COVID-19 positivity was higher among males and patients aged above 50 years. In all, 40 (39.2%) COVID-19 cases did not report any history of contact with a known case or international travel. INTERPRETATION & CONCLUSIONS: COVID-19 containment activities need to be targeted in districts reporting COVID-19 cases among SARI patients. Intensifying sentinel surveillance for COVID-19 among SARI patients may be an efficient tool to effectively use resources towards containment and mitigation efforts. |
format | Online Article Text |
id | pubmed-7357403 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-73574032020-07-13 Severe acute respiratory illness surveillance for coronavirus disease 2019, India, 2020 Gupta, Nivedita Praharaj, Ira Bhatnagar, Tarun Vivian Thangaraj, Jeromie Wesley Giri, Sidhartha Chauhan, Himanshu Kulkarni, Sanket Murhekar, Manoj Singh, Sujeet Gangakhedkar, Raman R. Bhargava, Balram Indian J Med Res Original Article BACKGROUND & OBJECTIVES: Sentinel surveillance among severe acute respiratory illness (SARI) patients can help identify the spread and extent of transmission of coronavirus disease 2019 (COVID-19). SARI surveillance was initiated in the early phase of the COVID-19 outbreak in India. We describe here the positivity for COVID-19 among SARI patients and their characteristics. METHODS: SARI patients admitted at 41 sentinel sites from February 15, 2020 onwards were tested for COVID-19 by real-time reverse transcription-polymerase chain reaction, targeting E and RdRp genes of SARS-CoV-2. Data were extracted from Virus Research and Diagnostic Laboratory Network for analysis. RESULTS: A total of 104 (1.8%) of the 5,911 SARI patients tested were positive for COVID-19. These cases were reported from 52 districts in 20 States/Union Territories. The COVID-19 positivity was higher among males and patients aged above 50 years. In all, 40 (39.2%) COVID-19 cases did not report any history of contact with a known case or international travel. INTERPRETATION & CONCLUSIONS: COVID-19 containment activities need to be targeted in districts reporting COVID-19 cases among SARI patients. Intensifying sentinel surveillance for COVID-19 among SARI patients may be an efficient tool to effectively use resources towards containment and mitigation efforts. Wolters Kluwer - Medknow 2020 /pmc/articles/PMC7357403/ /pubmed/32362647 http://dx.doi.org/10.4103/ijmr.IJMR_1035_20 Text en Copyright: © 2020 Indian Journal of Medical Research http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Gupta, Nivedita Praharaj, Ira Bhatnagar, Tarun Vivian Thangaraj, Jeromie Wesley Giri, Sidhartha Chauhan, Himanshu Kulkarni, Sanket Murhekar, Manoj Singh, Sujeet Gangakhedkar, Raman R. Bhargava, Balram Severe acute respiratory illness surveillance for coronavirus disease 2019, India, 2020 |
title | Severe acute respiratory illness surveillance for coronavirus disease 2019, India, 2020 |
title_full | Severe acute respiratory illness surveillance for coronavirus disease 2019, India, 2020 |
title_fullStr | Severe acute respiratory illness surveillance for coronavirus disease 2019, India, 2020 |
title_full_unstemmed | Severe acute respiratory illness surveillance for coronavirus disease 2019, India, 2020 |
title_short | Severe acute respiratory illness surveillance for coronavirus disease 2019, India, 2020 |
title_sort | severe acute respiratory illness surveillance for coronavirus disease 2019, india, 2020 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357403/ https://www.ncbi.nlm.nih.gov/pubmed/32362647 http://dx.doi.org/10.4103/ijmr.IJMR_1035_20 |
work_keys_str_mv | AT guptanivedita severeacuterespiratoryillnesssurveillanceforcoronavirusdisease2019india2020 AT praharajira severeacuterespiratoryillnesssurveillanceforcoronavirusdisease2019india2020 AT bhatnagartarun severeacuterespiratoryillnesssurveillanceforcoronavirusdisease2019india2020 AT vivianthangarajjeromiewesley severeacuterespiratoryillnesssurveillanceforcoronavirusdisease2019india2020 AT girisidhartha severeacuterespiratoryillnesssurveillanceforcoronavirusdisease2019india2020 AT chauhanhimanshu severeacuterespiratoryillnesssurveillanceforcoronavirusdisease2019india2020 AT kulkarnisanket severeacuterespiratoryillnesssurveillanceforcoronavirusdisease2019india2020 AT murhekarmanoj severeacuterespiratoryillnesssurveillanceforcoronavirusdisease2019india2020 AT singhsujeet severeacuterespiratoryillnesssurveillanceforcoronavirusdisease2019india2020 AT gangakhedkarramanr severeacuterespiratoryillnesssurveillanceforcoronavirusdisease2019india2020 AT bhargavabalram severeacuterespiratoryillnesssurveillanceforcoronavirusdisease2019india2020 AT severeacuterespiratoryillnesssurveillanceforcoronavirusdisease2019india2020 |