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: First of all, Covid-19 is just one coronavirus of many

Abstract:
BACKGROUND: An epidemic of Coronavirus Disease 2019 (COVID-19) began in December 2019 and triggered a Public Health Emergency of International Concern (PHEIC).
We aimed to find risk factors for the progression of COVID-19 to help reducing the risk of critical illness and death for clinical help.
METHODS: The data of COVID-19 patients until March 20, 2020 were retrieved from four databases.
We statistically analyzed the risk factors of critical/mortal and non-critical COVID-19 patients with meta-analysis.
RESULTS: Thirteen studies were included in Meta-analysis, including a total number of 3027 patients with SARS-CoV-2 infection.
Male, older than 65, and smoking were risk factors for disease progression in patients with COVID-19 (male: ORâ¯=â¯1.76, 95% CI (1.41, 2.18), P < 0.00001; age over 65 years old: OR =6.06, 95% CI(3.98, 9.22), P < 0.00001; current smoking: OR =2.51, 95% CI(1.39, 3.32), Pâ¯=â¯0.0006).
The proportion of underlying diseases such as hypertension, diabetes, cardiovascular disease, and respiratory disease were statistically significant higher in critical/mortal patients compared to the non-critical patients (diabetes: OR=3.68, 95% CI (2.68, 5.03), P < 0.00001; hypertension: ORâ¯=â¯2.72, 95% CI (1.60,4.64), Pâ¯=â¯0.0002; cardiovascular disease: ORâ¯=â¯5.19, 95% CI(3.25, 8.29), P < 0.00001; respiratory disease: ORâ¯=â¯5.15, 95% CI(2.51, 10.57), P < 0.00001).
Clinical manifestations such as fever, shortness of breath or dyspnea were associated with the progression of disease [fever: 0Râ¯=â¯0.56, 95% CI (0.38, 0.82), Pâ¯=â¯0.003;shortness of breath or dyspnea: 0R=4.16, 95% CI (3.13, 5.53), P < 0.00001].
Laboratory examination such as aspartate amino transferase(AST) > 40U/L, creatinine(Cr) &#8805; 133mol/L, hypersensitive cardiac troponin I(hs-cTnI) > 28pg/mL, procalcitonin(PCT) > 0.5ng/mL, lactatede hydrogenase(LDH) > 245U/L, and D-dimer > 0.5mg/L predicted the deterioration of disease while white blood cells(WBC)<4â¯×â¯109/L meant a better clinical status[AST > 40U/L:OR=4.00, 95% CI (2.46, 6.52), P < 0.00001; Cr &#8805; 133µmol/L: ORâ¯=â¯5.30, 95% CI (2.19, 12.83), Pâ¯=â¯0.0002; hs-cTnI > 28 pg/mL: ORâ¯=â¯43.24, 95% CI (9.92, 188.49), P < 0.00001; PCT > 0.5 ng/mL: ORâ¯=â¯43.24, 95% CI (9.92, 188.49), P < 0.00001;LDH > 245U/L: ORâ¯=â¯43.24, 95% CI (9.92, 188.49), P < 0.00001; D-dimer > 0.5mg/L: ORâ¯=â¯43.24, 95% CI (9.92, 188.49), P < 0.00001; WBC < 4â¯×â¯109/L: ORâ¯=â¯0.30, 95% CI (0.17, 0.51), P < 0.00001].
CONCLUSION: Male, aged over 65, smoking patients might face a greater risk of developing into the critical or mortal condition and the comorbidities such as hypertension, diabetes, cardiovascular disease, and respiratory diseases could also greatly affect the prognosis of the COVID-19.
Clinical manifestation such as fever, shortness of breath or dyspnea and laboratory examination such as WBC, AST, Cr, PCT, LDH, hs-cTnI and D-dimer could imply the progression of COVID-19.
{"verdict": "NEI", "evidence": []}