Secondary Attack Rate and Epidemiological Determinants of Secondary High-Risk Contacts of SARS COV-2; Lessons to Learn: A Study from North Gujarat

Authors

  • Parul Sharma Dept. of Community Medicine, GMERS Medical College, Dharpur, Patan
  • Nitin Solanki Dept. of Community Medicine, GMERS Medical College, Dharpur, Patan
  • Rakesh Ninama Dept. of Community Medicine, GMERS Medical College, Dharpur, Patan

DOI:

https://doi.org/10.5455/njcm.20200912080935

Keywords:

SAR, High Risk, Secondary Contact, Covid-19

Abstract

Background: Transmission of the SARS CoV-2 disease among secondary contacts is a challenge and must be addressed. Secondary attack rate (SAR) is the probability that an infection occurs among susceptible contact within incubation period. It can be influenced by many factors including personal hygiene habits, behaviors, and characteristics of close-contact environments.

Objectives: The study was conducted to finds out the Secondary Attack Rate among Household contacts of Covid19 positive patients; to study the socio-demographic and other factors affecting the Secondary Attack Rate; and to compare the disease outcomes in the primary cases and secondary contacts.

Methodology: Observational Retrospective Study was conducted telephonically among randomly selected 444 primary contacts from District Patan and their 1059 secondary high-risk contacts.

Results and conclusion: The overall SAR was found to be 5.6% which was highest (21%) in >60 years age group followed by 18 to<60 years age group (5.6%).Death rates were higher(18%) in Primary cases compared to High Risk secondary contacts (8%).Gender, age, symptomatic contacts, presence of toilet facility, Travel History and co-morbid conditions were found to be statistically significant in High Risk secondary contacts. Home isolation seems to be a good measure for Covid 19 positive cases except for those >60 years old.

References

Dong E, Du H, Gardner L. An interactive web-based dash-board to track COVID-19 in real time. Lancet Infect Dis. 2020; 20: 533-534

Wu Z McGoogan JM. Characteristics of and important les-sons from the coronavirus disease 2019 (COVID-19) out-break in China: summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention. JA-MA. 2020; 3231239

Li Z, Chen Q, FengL , Rodewal dL , Xia Y , Yu H , et al. Ac-tive case finding with case management: the key to tackling the COVID-19 pandemic. Lancet 2020; 396:63–70

Triggle CR, Bansal D, Abd Farag EA, Ding H, Sultan AA. COVID-19: learning from lessons to guide treatment and prevention interventions. M Sphere 2020; 24:5

Chakrabarti SS, Kaur U, Banerjee A, Ganguly U, Banerjee T, Saha S et al. COVID-19 in India: are biological and envi-ronmental factors helping to stem the incidence and severi-ty? Aging Dis2020; 11:480–8

Coccia M. Factors determining the diffusion of COVID-19 and suggested strategy to prevent future accelerated viral infectivity similar to COVID. Sci Total Environ 2020; 729:138474

Cheng HY, Jian SW, Liu DP, Ng TC, Huang WT, Lin HH. Contact tracing assessment of COVID-19 transmission dy-namics in Taiwan and risk at different exposure periods be-fore and after symptom onset. JAMA Intern Med 2020; doi: 10.1001/jamainternmed.2020.2020.

Jing QL, Li YG, Ma MM, Gu YZ, Li K, Ma Y, et al. Conta-giousness and secondary attack rate of 2019 novel corona-virus based on cluster epidemics of COVID-19 in Guang-zhou. Zhonghua Liu Xing Bing Xue za Zhi 2020; 41: E058

Secondary attack rate of COVID-19 in household contacts: a systematic review K. Shah, D. Saxena and D. Mavalankar QJM: An International Journal of Medicine, 2020, 1–10

Sun WW, Ling F, Pan JR, Cai J, Miao ZP, Liu SL, et al. Epi-demiological characteristics of 2019 novel coronavirus fami-ly clustering in Zhejiang Province. Zhonghua yu Fang yi Xue za Zhi 2020; 54:E027

Park SY, Kim YM, Yi S, Lee S, Na BJ, Kim CB, et al. Corona-virus disease outbreak in call center. South Korea. Emerg Infect Dis 2020; 26:1666–70.

Abraham P, Aggarwal N, Babu GR, Barani S, Bhargava B, Bhatnagar T, et al. Laboratory surveillance for SARS-CoV-2 in India: performance of testing & descriptive epidemiology of detected COVID-19. 2020; 151:424–37.

Downloads

Published

2020-10-31

How to Cite

1.
Sharma P, Solanki N, Ninama R. Secondary Attack Rate and Epidemiological Determinants of Secondary High-Risk Contacts of SARS COV-2; Lessons to Learn: A Study from North Gujarat. Natl J Community Med [Internet]. 2020 Oct. 31 [cited 2024 Nov. 21];11(10):376-9. Available from: https://njcmindia.com/index.php/file/article/view/191

Issue

Section

Original Research Articles