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: Can coronavirus be transmitted over surfaces? Yes. 

Abstract:
The new Corona-virus, recently called the severe acute respiratory syndrome Coronavirus (SARS-CoV-2) appears for the first time in China and more precisely in Wuhan (December 2019).
This disease can be fatal.
Seniors, and people with other medical conditions (diabetes, heart disease ), may be more vulnerable and become seriously ill.
This is why research into drugs to treat this infection remains essential in several research laboratories.
Natural herbal remedies have long been the main, if not the only, remedy in the oral tradition for treating illnesses.
Modern medicine has known its success thanks to traditional medicine, the effectiveness of which derives from medicinal plants.
The objective of this study is to determine if the components of natural origin have an anti-viral effect and which can prevent humans from infection by this coronavirus using the most reliable method is molecular docking, which used to find the interaction between studied molecules and the protein, in our case we based on the inhibitor of Coronavirus (nCoV-2019) main protease.
The results of molecular docking showed that among 67 molecules of natural origin, three molecules (Crocin, Digitoxigenin, and ß-Eudesmol) are proposed as inhibitors against the coronavirus based on the energy types of interaction between these molecules and studied protein.
[Formula: see text]Communicated by Ramaswamy H. SarmaHighlightsDetermine natural compounds that can have an anti-viral effect and which can prevent humans from infection by this coronavirus;Molecular docking to find interaction between the molecules studied and the receptor of COVID-19;The synthesis of these molecules and the evaluation of their in vitro activity against SARS-Cov-2 could be interesting.
{"verdict": "NEI", "evidence": []}