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: Genomic epidemiology of a densely sampled covid19 outbreak in china

Abstract:
Analysis of genetic sequence data from the SARS-CoV-2 pandemic can provide insights into epidemic origins, worldwide dispersal, and epidemiological history.
With few exceptions, genomic epidemiological analysis has focused on geographically distributed data sets with few isolates in any given location.
Here, we report an analysis of 20 whole SARS-CoV-2 genomes from a single relatively small and geographically constrained outbreak in Weifang, People’s Republic of China.
Using Bayesian model-based phylodynamic methods, we estimate a mean basic reproduction number (R(0)) of 3.4 (95% highest posterior density interval: 2.1–5.2) in Weifang, and a mean effective reproduction number (R(t)) that falls below 1 on 4 February.
We further estimate the number of infections through time and compare these estimates to confirmed diagnoses by the Weifang Centers for Disease Control.
We find that these estimates are consistent with reported cases and there is unlikely to be a large undiagnosed burden of infection over the period we studied.
{"verdict": "SUPPORT", "evidence": ["With few exceptions, genomic epidemiological analysis has focused on geographically distributed data sets with few isolates in any given location."]}