Serological surveys to inform SARS-CoV-2 epidemic curve: a cross-sectional study from Odisha, India

Kshatri, Jaya Singh; Bhattacharya, Debdutta; Kanungo, Srikanta; Giri, Sidhartha; Palo, Subrata Kumar; Parai, Debaprasad; Turuk, Jyotirmayee; Mansingh, Asit; Choudhary, Hari Ram; Pattnaik, Matrujyoti; Dash, Girish Chandra; Mohanty, Prasantajyoti; Mishra, Niranjan; Satapathy, Durga Madhab; Sahoo, Sanjaya Kumar; Mohanta, Amiya Ranjan; Bishoyee, Anjan Kumar; Sadangi, Ashish Kumar; Mahakuda, Ashok Kumar; Mishra, Biswakalyan; Padhan, Dinabandhu; Sethi, Gopinath; Jain, Hitesh Kumar; Biswal, Janaki; Mohanta, Jeevan Kumar; Pritam, Jitendriya Amrit; Pradhan, Jwell Kiran; sahoo, Kanhu Charan; Dalai, Keshab Chandra; Bhoi, Manas kumar; Sahoo, Nirupama; Dwibedi, Nutan; Sahoo, P. K.; Khan, Sadruddin; Pradhan, Sagarkanta; Rout, Satyabrata; Barik, Shakti Ranjan; Patro, Sithun Kumar; Samal, Smitanjali; Soni, Soni; Bhanjadeo, Spandan Kumar; Patra, Srikant Kumar; Dwivedy, Subhralaxmi; Nayak, Subrat Kumar; Bhoi, Trilochan

doi:10.1038/s41598-021-89877-y

Cited by 17 publications

(9 citation statements)

References 23 publications

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“…Information on socio-demographic data, the status of comorbidity, COVID-19 immunisation status, travel history, history of COVID-19 infection, the practice of different COVID-19 protocols was collected through an electronic Open Data Kit (ODK) by trained field investigators. The questionnaire used for the survey was based on our previous published serosurveys [ 12 , 13 ]. Also, secondary data on COVID-19 positive cases and vaccination coverage in the study area were collected from the health system during the survey.…”

Section: Methodsmentioning

confidence: 99%

“…The study was approved by the institutional human ethics committee, ICMR-Regional Medical Research Centre, Bhubaneswar (ICMR-RMRCB/AHIEC-2020). For the survey, a populationbased cross-sectional study design was used which was based on the sampling protocol adopted by national and state serosurveys [9,[11][12][13]. The study population was randomly selected from https://doi.org/10.1017/S0950268822000346 the community members of the rural cohort of the MRHRU, Tigiria (Blocks: Athagarh, Tigiria, Badamba, and Narasinghpur) during March-April, 2021.…”

Section: Methodsmentioning

confidence: 99%

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Infection, cases due to SARS-CoV-2 in rural areas during early COVID-19 vaccination: findings from serosurvey study in a rural cohort of eastern India

et al. 2022

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COVID-19 serosurvey provides a better estimation of people who have developed antibody against the infection. But limited information on such serosurveys in rural areas poses many hurdles to understand the epidemiology of the virus and to implement proper control strategies. This study was carried out in the rural catchment area of Model Rural Health Research Unit in Odisha, India during March–April 2021, the initial phase of COVID vaccination. A total of 60 village clusters from four study blocks were identified using probability proportionate to size sampling. From each cluster, 60 households and one eligible participant from each household (60 per cluster) were selected for the collection of blood sample and socio-demographic data. The presence of SARS-CoV-2 antibody was tested using the Elecsys Anti-SARS-CoV-2 immunoassay. The overall seroprevalence after adjusting for test performance was 54.21% with an infection to case ratio of 96.89 along with 4.25% partial and 6.79% full immunisation coverage. Highest seroprevalence was observed in the age group of 19–44 years and females had both higher seroprevalence as well as vaccine coverage. People of other backward caste also had higher seropositivity than other caste categories. The study emphasises on continuing surveillance for COVID-19 cases and prioritizing COVID-19 vaccination for susceptible groups for better disease management.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Infection, cases due to SARS-CoV-2 in rural areas during early COVID-19 vaccination: findings from serosurvey study in a rural cohort of eastern India

et al. 2022

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“…The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), 1,2 poses huge health and societal burden globally. SARS-CoV-2 is easily transmitted from person to person 3 via droplets from the respiratory tract of infected people, including asymptomatic individuals. 4 The spectrum of the COVID-19 severity varies broadly, from asymptomatic infection to severe complication like organ failure to death.…”

Section: Introductionmentioning

confidence: 99%

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 ) IgG-antibody seroprevalence among quarantined population, during the first wave of COVID-19 pandemic, In North West Ethiopia (from 30 April to 30 May 2020)

Kebede

2022

SAGE Open Medicine

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Objective: The spread of Severe Acute Respiratory Syndrome Corona Virus-2 (SARS-CoV-2) in Ethiopia is below par understood and to date has been poorly characterized by a lower number of confirmed cases and deaths as compared with other regions of the Sub-Saharan African (SSA) countries. We aimed to investigate the seroprevalence of SARS-CoV-2 specific IgG antibodies, using the Abbott anti-nucleocapsid IgG chemiluminescent microparticle immunoassay, in two COVID-19 diagnosed and treatment centers of quarantined population during the first wave of the COVID-19 pandemic (since 30 April–30 May 2020). Methods: We analyzed data of 446 quarantined individuals during the first wave of COVID-19 pandemic. The data were collected using both interviewed and blood sample collection. Participants asked about demographic characteristics, COVID-19 infection symptoms, and its practice of preventive measures. Seroprevalence was determined using the severe acute respiratory syndrome coronavirus 2 IgG test. Results: The mean (± standard deviation) age of the respondent was 37.5 (±18.5) years. The estimated SARS-CoV-2 infection seroprevalence was found 4.7% (95% confidence interval: 3.1–6.2) with no significant difference on age and gender of participants. Severe acute respiratory syndrome coronavirus 2 antibody seroprevalence was significantly associated with individuals who have been worked by moving from home to work area (adjusted odds ratio = 7.8, 95% confidence interval: 4.2–14.3, p < 0.019), not wearing masks (adjusted odds ratio = 2.4, 95% confidence interval: 1.9–3.8, p < 0.02), and baseline comorbidity (adjusted odds ratio = 6.3, 95% confidence interval: 2.3–17.1, p < 0.01) as compared to their counter groups, respectively. Conclusion: Our study concluded that lower coronavirus disease 2019 seroprevalence, yet the large population in the community to be infected and insignificant proportion of seroprevalence, was observed between age and sex of respondents. Protective measures like contact tracing, face covering, and social distancing are therefore vital to demote the risk of community—strengthening factors should be continued as effect modification of anticipation for severe course of coronavirus disease 2019.

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“…It was also lower than the seroprevalence detected in its neighbouring State of Odisha, which is a tribal dominated State of India. In Odisha, the seroprevalence was 1.55 per cent in Bhubaneswar in July 2020, 24.59 per cent in Rourkela (August, 2020) and 31.14 per cent in Berhampur (August, 2020) 23 , 24 . The low seroprevalence in Jharkhand could be due to the strict implementation of a State-wide lockdown since March 22, 2020.…”

Section: Discussionmentioning

confidence: 95%

Trend in seroprevalence of SARS-CoV-2 (IgG antibody) among tribal-dominated population: Findings from Jharkhand, India

Mahapatra

Palo

Bhattacharya

et al. 2022

Indian Journal of Medical Research

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Background & objectives: Serosurvey of COVID-19 provides a better estimation of people who have developed antibodies against the infection. Undertaking such a serosurvey in certain districts of India which are densely populated with prominent tribes can provide valuable information regarding seropravelance of SARS-CoV-2 antibodies among such indigenous populations. In this context, two rounds of population-based, cross-sectional serosurveys for SARS-CoV-2 IgG antibody were carried out in Jharkhand, a tribal-dominated State of India, to compare the seroprevalence of SARS-CoV-2 infection and to determine the associated demographic risk factors. Methods: The surveys were carried out in June 2020 and February 2021 in ten districts of the State of Jharkhand. Blood samples were collected from the residents of the selected districts by random sampling and tested for anti-SARS-CoV-2 antibodies using an automated chemiluminescence immunoassay platform. A total of 4761 and 3855 eligible participants were included in round 1 and round 2, respectively. Results: The age- and gender-standardized seroprevalence for COVID-19 during round 1 was 0.54 per cent (0.36-0.80) that increased to 41.69 per cent (40.16-43.22) during round 2 with a gap of eight months in between. The seropositivity among male and female participants was 0.73 and 0.45 per cent, respectively, during the first round and 51.35 and 33.70 per cent, respectively, during the second round. During the first round, 17.37 per cent of the participants were tribal with seropositivity of 0.24 per cent (0.02-0.87), and during the second round, 21.14 per cent were tribal with seropositivity of 39.14 per cent (35.77-42.59). Compared to tribal group, non-tribal participants had an adjusted odds of 1.24 (95% confidence interval=1.04-1.48) for SARS-CoV-2 seropositivity. Interpretation & conclusions: COVID-19 seroprevalence was found to be low during the first round (0.54%) of the survey, possibly due to the travel restrictions during lockdown better adherence to social distancing and wearing of face masks among the people. Understanding the dynamics of SARS-CoV-2 transmission and the susceptibility to infection at the individual as well as community level will inform decision and help policy makers to design and implement effective public health strategies to mitigate the pandemic in this State.

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Serological surveys to inform SARS-CoV-2 epidemic curve: a cross-sectional study from Odisha, India

Cited by 17 publications

References 23 publications

Infection, cases due to SARS-CoV-2 in rural areas during early COVID-19 vaccination: findings from serosurvey study in a rural cohort of eastern India

Infection, cases due to SARS-CoV-2 in rural areas during early COVID-19 vaccination: findings from serosurvey study in a rural cohort of eastern India

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 ) IgG-antibody seroprevalence among quarantined population, during the first wave of COVID-19 pandemic, In North West Ethiopia (from 30 April to 30 May 2020)

Trend in seroprevalence of SARS-CoV-2 (IgG antibody) among tribal-dominated population: Findings from Jharkhand, India

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