{
    "abstract": "Based on publicly released data for 1212 patients, we investigated the epidemiological characteristics of COVID-19 in Henan of China. The following findings are obtained: 1) COVID-19 patients in Henan show gender (55% vs 45%) and age (81% aged between 21 and 60) preferences, possible causes were explored; 2) Statistical analysis on 483 patients reveals that the estimated average, mode and median incubation periods are 7.4, 4 and 7 days; Incubation periods of 92% patients were no more than 14 days; 3) The epidemic of COVID-19 in Henan has undergone three stages and showed high correlations with the numbers of patients that recently return from Wuhan; 4) Network analysis on the aggregate outbreak phenomena of COVID-19 revealed that 208 cases were clustering infected, and various people's Hospital are the main force in treating patients. The related investigations have potential implications for the prevention and control of COVID-19.\nCompeting Interest Statement",
    "affiliations": [
        "Hospital are the main force in treating patients. The related investigations have potential implications for the prevention and control of COVID-19",
        "National Natural Science Foundation of China (Grant Nos. 61773153, 61773175, 61573262). The Supporting Plan for Scientific and Technological Innovative Talents in Universities of Henan Province (Grant No",
        "HASTIT025), and the Training Plan of Young Key Teachers in Colleges and Universities of Henan Province (Grant No. 2018GGJS021). Partly supported by the supporting grant of Bioinformatics Center of Henan University (Grant No. 2018YLJC03)"
    ],
    "author": "<NAME>; <NAME>; <NAME>; <NAME>; <NAME>; <NAME>",
    "date": 2020,
    "doi": "10.1101/2020.02.21.20026112",
    "identifiers": {
        "url": "http://medrxiv.org/cgi/content/short/2020.02.21.20026112"
    },
    "title": "Epidemiological characteristics of 1212 COVID-19 patients in Henan, China",
    "funding": [
        {
            "award-group": [
                {
                    "funding-source": "National Natural Science Foundation of China",
                    "award-id": [
                        "61773153",
                        "61773175",
                        "61573262"
                    ]
                }
            ],
            "funding-statement": "This work was supported by the National Natural Science Foundation of China (Grant Nos. 61773153, 61773175, 61573262)"
        },
        {
            "award-group": [
                {
                    "funding-source": "The Supporting Plan for Scientific and Technological Innovative Talents in Universities of Henan Province",
                    "award-id": [
                        "20HASTIT025"
                    ]
                },
                {
                    "funding-source": "Training Plan of Young Key Teachers in Colleges and Universities of Henan Province",
                    "award-id": [
                        "2018GGJS021"
                    ]
                }
            ],
            "funding-statement": "The Supporting Plan for Scientific and Technological Innovative Talents in Universities of Henan Province (Grant No 20HASTIT025), and the Training Plan of Young Key Teachers in Colleges and Universities of Henan Province (Grant No 2018GGJS021)"
        },
        {
            "award-group": [
                {
                    "funding-source": "Bioinformatics Center of Henan University",
                    "award-id": [
                        "2018YLJC03"
                    ]
                }
            ],
            "funding-statement": "Partly supported by the supporting grant of Bioinformatics Center of Henan University (Grant No 2018YLJC03)"
        }
    ]
}