Severe acute respiratory illness surveillance for coronavirus disease 2019, India, 2020

Murhekar, Manoj ; Gupta, Nivedita ; Praharaj, Ira ; Bhatnagar, Tarun ; Vivian Thangaraj, JeromieWesley ; Giri, Sidhartha ; Chauhan, Himanshu ; Kulkarni, Sanket ; Singh, Sujeet ; Gangakhedkar, RamanR ; Bhargava, Balram ; ICMR COVID Team, . (2020) Severe acute respiratory illness surveillance for coronavirus disease 2019, India, 2020 Indian Journal of Medical Research, 151 (2). p. 236. ISSN 0971-5916

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Official URL: http://doi.org/10.4103/ijmr.ijmr_1035_20

Related URL: http://dx.doi.org/10.4103/ijmr.ijmr_1035_20

Abstract

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.

Item Type:Article
Source:Copyright of this article belongs to Indian Council of Medical Research.
ID Code:125471
Deposited On:07 Feb 2022 10:30
Last Modified:07 Feb 2022 10:30

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