You will be shown a claim related to the COVID-19 pandemic, and the abstract of a biomedical research paper. Each sentence from the abstract will be on a separate line. Your task is to return a JSON object with two fields:

- "verdict": The fact-checking verdict. If the information in the abstract supports the claim, write "SUPPORT". If the abstract contradicts the claim, write "CONTRADICT".
- "evidence": An array of sentences providing evidence for the verdict. Please copy all relevant sentences verbatim from the abstract.

For instance, if the model were given the claim "the COVID vaccine is safe for healthy adults", the output might be
{
  "verdict": "SUPPORT",
  "evidence": ["Our findings indicate that the risks of severe COVID vaccine side effects are low for healthy adults."]
}

Claim: Findings from serological surveys to assess the exposure of adult population to sars cov-2 infection in three cities of odisha , india .

Abstract:
BackgroundThere is always an uncertainty of epidemiological, serological infectivity and virulence of the emerging novel coronavirus.
Antibody test can be used for assessing whether immunity has developed in the infected person after 5-7 days of illness and understand cumulative exposure levels to the infection, make inferences on the actual burden of infection, its geographical spread, effect on specific demographic/risk groups, gaps in testing and infection fatality rates.
ObjectiveTo estimate and compare the sero-prevalence, hidden prevalence and determine the demographic risk factors associated with SARS-CoV-2 infection among adults in three largest cities of Odisha, India.
MethodologyThis was a population based cross sectional serological survey carried out in August 2020 in the three largest cities of the state of Odisha.
Sample size per city was estimated to be 1500 and participants were enrolled from the community using multi-stage random sampling from 25 clusters from each city.
Data was collected using ODK based tools by household visits and 3-4 ml of blood samples were collected after informed consent.
Samples were transported to testing lab where Serum was separated and tested for anti-SARS CoV-2 antibodies using automated CLIA platform.
Statistical analysis was done using R-software packages.
ResultsA total of 4146 participants from the 3 cities of Bhubaneswar (BBS), Berhampur (BAM) and Rourkela (RKL) participated.
A total of 5635 households were approached and the average non response rate in the community was 17.4%.
The gender weighted seroprevalence across the three cities was 20.78% (95% CI: 19.56%-22.05%).
Seroprevalence was highest in BAM at 31.14% (95% CI: 28.69-33.66%) followed by 24.59% (95% CI: 22.39-26.88%) in RKL and 5.24% (95% CI: 4.10-6.58%) in BBS.
While females reported a higher seroprevalence (22.8%) as compared to males (18.8%), there was no significant difference in seroprevalence across age groups.
A majority of the seropositive participants were asymptomatic (93.87%).
Among those who reported symptoms, the most common symptom was fever (68.89%) followed by cough (46.06%) and myalgia (32.67%).
The case to infection ratio on the date of serosurvey was 1: 6.6 in BBS, 1:61 in BAM and 1:29.8 in RKL.
ConclusionThe study found a high seroprevalence against COVID-19 in urban Odisha as well as high numbers of asymptomatic infections.
{"verdict": "SUPPORT", "evidence": ["ObjectiveTo estimate and compare the sero-prevalence, hidden prevalence and determine the demographic risk factors associated with SARS-CoV-2 infection among adults in three largest cities of Odisha, India.", "MethodologyThis was a population based cross sectional serological survey carried out in August 2020 in the three largest cities of the state of Odisha."]}