You will be shown a claim about public health, 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". If the abstract does not provide enough information to arrive at a verdict, write "NEI" (for "not enough information").
- "evidence": An array of sentences providing evidence for the verdict. Please copy all relevant sentences verbatim from the abstract. If the verdict was "NEI", then return an empty array.

For instance, if the model were given the claim "wearing masks can prevent the spread of COVID", the output might be
{
  "verdict": "SUPPORT",
  "evidence": ["Our findings indicate that mass mask-wearing reduces the transmission rate for COVID-19."]
}

Claim: cough was the first symptom in COVID-19 patients.

Abstract:
We report here the case of a 27-year-old man who consulted by telemedicine during the Coronavirus disease 2019 (COVID-19) pandemic, due to foreign body sensation and left eye redness.
Examination revealed unilateral eyelid edema and moderate conjunctival hyperemia.
A few hours later, the patient experienced intense headache and developed fever, cough and severe dyspnea.
A nasopharyngeal swab proved positive for SARS-CoV-2.
This case demonstrates that conjunctivitis can be the inaugural manifestation of the COVID-19 infection.
It illustrates the interest of telemedicine in ophthalmology during the COVID-19 pandemic, since moderate conjunctival hyperemia can be the first sign of a severe respiratory distress.
{"verdict": "CONTRADICT", "evidence": ["It illustrates the interest of telemedicine in ophthalmology during the COVID-19 pandemic, since moderate conjunctival hyperemia can be the first sign of a severe respiratory distress."]}