You will be shown a scientific claim, 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 "smoking causes cancer", the output might be
{
  "verdict": "SUPPORT",
  "evidence": ["The results of our meta-analysis provide overwhelming support that cigarette smoking is a risk cause for lung cancer."]
}

Your response should not include any text other than the json.

Claim: Destination container port throughput(CPT) is negatively related to dengue virus (DENV-1) diffusion in air traffic shipments.

Abstract:
BACKGROUND Aedes aegypti, the major vector of dengue viruses, often breeds in water storage containers used by households without tap water supply, and occurs in high numbers even in dense urban areas.
We analysed the interaction between human population density and lack of tap water as a cause of dengue fever outbreaks with the aim of identifying geographic areas at highest risk.
METHODS AND FINDINGS We conducted an individual-level cohort study in a population of 75,000 geo-referenced households in Vietnam over the course of two epidemics, on the basis of dengue hospital admissions (n = 3,013).
We applied space-time scan statistics and mathematical models to confirm the findings.
We identified a surprisingly narrow range of critical human population densities between around 3,000 to 7,000 people/km² prone to dengue outbreaks.
In the study area, this population density was typical of villages and some peri-urban areas.
Scan statistics showed that areas with a high population density or adequate water supply did not experience severe outbreaks.
The risk of dengue was higher in rural than in urban areas, largely explained by lack of piped water supply, and in human population densities more often falling within the critical range.
Mathematical modeling suggests that simple assumptions regarding area-level vector/host ratios may explain the occurrence of outbreaks.
CONCLUSIONS Rural areas may contribute at least as much to the dissemination of dengue fever as cities.
Improving water supply and vector control in areas with a human population density critical for dengue transmission could increase the efficiency of control efforts.
Please see later in the article for the Editors' Summary.
{"verdict": "NEI", "evidence": []}