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International Journal of Infectious Diseases
International Society for Infectious Diseases
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  • He, DaihaiRemove He, Daihai filter
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  • Basic reproduction number1
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  • Rapid Communication
    Open Access

    Quantifying the improvement in confirmation efficiency of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during the early phase of the outbreak in Hong Kong in 2020

    International Journal of Infectious Diseases
    Vol. 96p284–287Published online: May 10, 2020
    • Jinjun Ran
    • Shi Zhao
    • Zian Zhuang
    • Marc K.C. Chong
    • Yongli Cai
    • Peihua Cao
    • and others
    Cited in Scopus: 4
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      The deadly coronavirus disease (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, formerly 2019-nCoV), has emerged in Wuhan, China, in December 2019 (WHO, 2020). COVID-19 cases were soon exported to other Chinese cities and overseas, mainly owing to the traffic surge near the Chinese Lunar New Year (Bogoch et al., 2020; Wu et al., 2020). The first imported cases in Hong Kong were confirmed and reported on January 23, 2020, see Fig. 1(a). Since then, the government of Hong Kong has implemented a series of control and prevention measures for COVID-19, including enhanced border screening and traffic restrictions (summary, in press; CHP, in press).
      Quantifying the improvement in confirmation efficiency of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during the early phase of the outbreak in Hong Kong in 2020
    • Letter to the Editor
      Open Access

      The basic reproduction number of novel coronavirus (2019-nCoV) estimation based on exponential growth in the early outbreak in China from 2019 to 2020: A reply to Dhungana

      International Journal of Infectious Diseases
      Vol. 94p148–150Published online: February 20, 2020
      • Shi Zhao
      • Qianying Lin
      • Jinjun Ran
      • Salihu S. Musa
      • Guangpu Yang
      • Weiming Wang
      • Yijun Lou
      • Daozhou Gao
      • Lin Yang
      • Daihai He
      • Maggie H Wang
      Cited in Scopus: 23
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        The ongoing outbreak of the novel coronavirus (2019-nCoV) pneumonia in Wuhan, China and other regions remains a major public health concern. We thank Dhungana for comments to our study, Zhao et al. (2020), recently published in the International Journal of Infectious Diseases. The estimates on the basic reproduction number, R0, were carried out early in the outbreak as of January 22, 2020, when the surveillance data and the knowledge of the key epidemiological features of 2019-nCoV were limited.
        The basic reproduction number of novel coronavirus (2019-nCoV) estimation based on exponential growth in the early outbreak in China from 2019 to 2020: A reply to Dhungana
      • Research Article
        Open Access

        Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak

        International Journal of Infectious Diseases
        Vol. 92p214–217Published online: January 30, 2020
        • Shi Zhao
        • Qianyin Lin
        • Jinjun Ran
        • Salihu S. Musa
        • Guangpu Yang
        • Weiming Wang
        • and others
        Cited in Scopus: 1051
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          The atypical pneumonia case, caused by a novel coronavirus (2019-nCoV), was first reported and confirmed in Wuhan, China on December 31, 2019 (World Health Organization, 2020a). As of January 26 (17:00 GMT), 2020, there have been 2033 confirmed cases of 2019-nCoV infections in mainland China, including 56 deaths (National Health Commission of the People’s Republic of China, 2020). The 2019-nCoV cases were also reported in Thailand, Japan, Republic of Korea, Hong Kong, Taiwan and the US, and all of these cases were exported from Wuhan; see the World Health Organization (WHO) news release https://www.who.int/csr/don/en/ from January 14–21.
          Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak
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