Skip to Main Content
ADVERTISEMENT
SCROLL TO CONTINUE WITH CONTENT



Property Value
Status
Version
Ad File
Disable Ads Flag
Environment
Moat Init
Moat Ready
Contextual Ready
Contextual URL
Contextual Initial Segments
Contextual Used Segments
AdUnit
SubAdUnit
Custom Targeting
Ad Events
Invalid Ad Sizes
Advertisement
International Journal of Infectious Diseases
International Society for Infectious Diseases
Close
  • Home
  • Articles & Issues
    • Back
    • Articles In Press
    • Current Issue
    • List of Issues
    • Supplements
  • Collections
    • Back
    • World TB Day 2021
    • IJID COVID-19
    • Emerging Infectious Diseases in the Time of Ebola
    • Featured Content
  • For Authors
    • Back
    • About Open Access
    • Author Information
    • Permissions
    • Researcher Academy 
    • Submit a Manuscript 
  • Journal Info
    • Back
    • About the Journal
    • About Open Access
    • Contact Information
    • Editorial Board
    • Info for Advertisers 
    • Reprints 
    • New Content Alerts
  • News and Media
  • ISID 
  • ProMED 
  • More Periodicals
    • Back
    • Find a Periodical 
    • Go to Product Catalog 
Advanced searchSave search

Please enter a term before submitting your search.

Ok
  • Submit
  • Log in
  • Register
  • Log in
    • Submit
    • Log in
  • Claim
x

Filter:

Filters applied

  • Coronavirus (COVID-19) Collection
  • He, DaihaiRemove He, Daihai filter
  • Zhao, ShiRemove Zhao, Shi filter
Clear all

Article Type

  • Rapid Communication4
  • Letter2
  • Research Article2

Publication Date

  • Last 2 Years1
  • Last 5 Years10
Please choose a date range between 2020 and 2022.

Author

  • Yang, Lin9
  • Lou, Yijun8
  • Cao, Peihua6
  • Lin, Qianying6
  • Gao, Daozhou5
  • Wang, Maggie H5
  • Zhuang, Zian5
  • Wang, Weiming4
  • Musa, Salihu S3
  • Ran, Jinjun3
  • Cai, Yongli2
  • Yang, Guangpu2
  • Yang, Shu2
  • Abdullahi, Zainab Umar1
  • Chong, Marc KC1
  • Habib, Abdulrazaq Garba1
  • Li, Yingke1
  • Lin, Qianyin1
  • Musa, Salihu Sabiu1
  • Wang, Kai1
  • Xiao, Li1

Journal

  • International Journal of Infectious Diseases10

Keyword

  • COVID-197
  • Basic reproduction number2
  • Coronavirus disease 20192
  • 1918-19 influenza1
  • Air travel data1
  • Ascertainment rate1
  • Asymptomatic infection1
  • City lockdown1
  • confirmation efficiency1
  • early outbreak1
  • Epidemic1
  • Governmental action1
  • Hong Kong.1
  • Individual reaction1
  • Italy1
  • Lassa fever1
  • Mathematical modelling1
  • Multiple waves1
  • Novel coronavirus (2019-nCoV)1
  • Pandemic1
  • Relative transmissibility1
  • Republic of Korea1
  • United Kingdom1
  • Years of life lost1

Access Filter

  • Open Access

Coronavirus (COVID-19) Collection

10 Results
Subscribe to collection
  • Export
    • PDF
    • Citation

Please select at least one article in order to proceed.

Ok
FilterHide Filter
  • Short Communication
    Open Access

    COVID-19 and Lassa fever in Nigeria: A deadly alliance?

    International Journal of Infectious Diseases
    Vol. 117p45–47Published online: January 29, 2022
    • Salihu Sabiu Musa
    • Shi Zhao
    • Zainab Umar Abdullahi
    • Abdulrazaq Garba Habib
    • Daihai He
    Cited in Scopus: 6
    • Preview Hide Preview
    • Download PDF
    • Export Citation
      COVID-19 has become one of the most dangerous pandemics to cause severe problems for humanity in the past decades. SARS-CoV-2, a virus that causes COVID-19, emanated from China in December 2019, when public health officials alerted the World Health Organization (WHO) about pneumonia of an unknown etiology (WHO, 2021; Li et al., 2020). Subsequently, the disease rapidly spread worldwide. Nigeria faces a potential public health crisis owing to the synergistic epidemic of COVID-19 and other infectious diseases (Sherrard-Smith et al., 2020; Bouba et al., 2021).
      COVID-19 and Lassa fever in Nigeria: A deadly alliance?
    • Perspective
      Open Access

      Comparing COVID-19 and the 1918–19 influenza pandemics in the United Kingdom

      International Journal of Infectious Diseases
      Vol. 98p67–70Published online: June 26, 2020
      • Daihai He
      • Shi Zhao
      • Yingke Li
      • Peihua Cao
      • Daozhou Gao
      • Yijun Lou
      • and others
      Cited in Scopus: 27
      • Preview Hide Preview
      • Download PDF
      • Export Citation
        The fast spread and high fatality rate of coronavirus disease 2019 (COVID-19) remind us of the first pandemic in the last century — the 1918–19 influenza pandemic. Indeed, the SARS-CoV-2 and the 1918 A/H1N1 influenza virus share some common properties:
        Comparing COVID-19 and the 1918–19 influenza pandemics in the United Kingdom
      • 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
        • Preview Hide Preview
        • Download PDF
        • Export Citation
          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

          Preliminary estimation of the novel coronavirus disease (COVID-19) cases in Iran: A reply to Sharifi

          International Journal of Infectious Diseases
          Vol. 95p429–430Published online: April 30, 2020
          • Zian Zhuang
          • Shi Zhao
          • Qianying Lin
          • Peihua Cao
          • Yijun Lou
          • Lin Yang
          • and others
          Cited in Scopus: 3
          • Preview Hide Preview
          • Download PDF
          • Export Citation
            The worldwide outbreak of the novel coronavirus (SARS-Cov-2) pneumonia remains a major public health concern. We thank Sharifi et al.’s comments to our recent study (Zhuang et al., 2020). In that paper we adopted the similar method as Imai's (Imai et al., 2020), which was used to estimate the number of COVID-19 cases in the early stages of the COVID-19 outbreak in Wuhan, Hubei, China. The model provided a rough range estimation about the epidemic size and has been recognized by peers as a valid method in the early stage of an epidemic (Kucharski et al., 2020; Boldog et al., 2020; Ng et al., 2020).
          • Short Communication
            Open Access

            Preliminary estimates of the reproduction number of the coronavirus disease (COVID-19) outbreak in Republic of Korea and Italy by 5 March 2020

            International Journal of Infectious Diseases
            Vol. 95p308–310Published online: April 22, 2020
            • Zian Zhuang
            • Shi Zhao
            • Qianying Lin
            • Peihua Cao
            • Yijun Lou
            • Lin Yang
            • and others
            Cited in Scopus: 50
            • Preview Hide Preview
            • Download PDF
            • Export Citation
              The novel coronavirus disease 2019 (COVID-19) outbreak has caused 6088 cases and 41 deaths in Republic of Korea, and 3144 cases and 107 death in Italy by 5 March 2020, respectively. We modelled the transmission process in the Republic of Korea and Italy with a stochastic model, and estimated the basic reproduction number R0 as 2.6 (95% CI: 2.3–2.9) or 3.2 (95% CI: 2.9–3.5) in the Republic of Korea, under the assumption that the exponential growth starting on 31 January or 5 February 2020, and 2.6 (95% CI: 2.3–2.9) or 3.3 (95% CI: 3.0–3.6) in Italy, under the assumption that the exponential growth starting on 5 February or 10 February 2020, respectively.
              Preliminary estimates of the reproduction number of the coronavirus disease (COVID-19) outbreak in Republic of Korea and Italy by 5 March 2020
            • Perspective
              Open Access

              The relative transmissibility of asymptomatic COVID-19 infections among close contacts

              International Journal of Infectious Diseases
              Vol. 94p145–147Published online: April 18, 2020
              • Daihai He
              • Shi Zhao
              • Qianying Lin
              • Zian Zhuang
              • Peihua Cao
              • Maggie H. Wang
              • and others
              Cited in Scopus: 134
              • Preview Hide Preview
              • Download PDF
              • Export Citation
                Nishiura et al. (2020) estimated the asymptomatic ratio of COVID-19 was 41.6% (5 out of 12 confirmed cases) among 565 Japanese individuals evacuated from Wuhan, China. Mao et al. (2020) reported that 2 out of 78 confirmed cases are asymptomatic. One of the two cases showed RT-PCT positivity 15th days after first diagnosis. Mizumoto et al. (2020) estimated that the 17.9% of cases on the Diamond Princess Cruise Ship were asymptomatic case during the outbreak in February 2020. However, the transmissibility of asymptomatic case is unclear, and the positive RT-PCT results only imply the potential infectivity.
                The relative transmissibility of asymptomatic COVID-19 infections among close contacts
              • Short Communication
                Open Access

                Preliminary estimation of the novel coronavirus disease (COVID-19) cases in Iran: A modelling analysis based on overseas cases and air travel data

                International Journal of Infectious Diseases
                Vol. 94p29–31Published online: March 11, 2020
                • Zian Zhuang
                • Shi Zhao
                • Qianying Lin
                • Peihua Cao
                • Yijun Lou
                • Lin Yang
                • and others
                Cited in Scopus: 51
                • Preview Hide Preview
                • Download PDF
                • Export Citation
                  The coronavirus disease 2019 (COVID-19) was first reported in Wuhan, Hubei Province, China at the end of 2019, and soon spread to the rest of China and overseas (Bogoch et al., 2020). At the time of writing, 78 630 cases had been reported in China and 3664 cases had been confirmed in 46 other countries (World Health Organization, 2020). Iran has recently become an epicenter in the Middle East region and has seen the largest cumulative number of deaths outside China (Wikipedia, 2020). As of March 1, 2020, Iran had confirmed 987 COVID-19 cases, including 54 associated deaths (Wikipedia, 2020).
                • Research Article
                  Open Access

                  A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action

                  International Journal of Infectious Diseases
                  Vol. 93p211–216Published online: March 4, 2020
                  • Qianying Lin
                  • Shi Zhao
                  • Daozhou Gao
                  • Yijun Lou
                  • Shu Yang
                  • Salihu S. Musa
                  • and others
                  Cited in Scopus: 628
                  • Preview Hide Preview
                  • Download PDF
                  • Export Citation
                    The ongoing outbreak of coronavirus disease 2019 (COVID-19), has claimed 2663 lives, along with 77,658 confirmed cases and 2824 suspected cases in China, as of 24 February 2020 (24:00 GMT+8), according to the National Health Commission of the People's Republic of China (NHCPRC, 2020). The number of deaths associated with COVID-19 greatly exceeds the other two coronaviruses (severe acure respiratory syndrome coronavirus, SARS-CoV, and Middle East respiratory syndrome coronavirus, MERS-CoV), and the outbreak is still ongoing, which posed a huge threat to the global public health and economics (Bogoch et al., 2020; J.T.
                    A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action
                  • 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: 22
                    • Preview Hide Preview
                    • Download PDF
                    • Export Citation
                      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: 1023
                      • Preview Hide Preview
                      • Download PDF
                      • Export Citation
                        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
                      Page 1 of 1
                      Skip menu

                        Login to your account

                        Show
                        Forgot password?
                        Don’t have an account?
                        Create a Free Account

                        If you don't remember your password, you can reset it by entering your email address and clicking the Reset Password button. You will then receive an email that contains a secure link for resetting your password

                        If the address matches a valid account an email will be sent to __email__ with instructions for resetting your password

                        Cancel
                        • Home
                        • Articles & Issues
                        • Articles In Press
                        • Current Issue
                        • List of Issues
                        • Supplements
                        • Collections
                        • IJID COVID-19
                        • Emerging Infectious Diseases in the Time of Ebola
                        • Featured Content
                        • For Authors
                        • About Open Access
                        • Author Information
                        • Permissions
                        • Researcher Academy
                        • Submit a Manuscript
                        • Journal Info
                        • About the Journal
                        • About Open Access
                        • Contact Information
                        • Editorial Board
                        • Info for Advertisers
                        • Reprints
                        • New Content Alerts
                        • News and Media
                        • ISID
                        • ProMED
                        • More Periodicals
                        • Find a Periodical
                        • Go to Product Catalog
                        We use cookies to help provide and enhance our service and tailor content. To update your cookie settings, please visit the for this site.
                        Copyright © 2023 Elsevier Inc. except certain content provided by third parties. The content on this site is intended for healthcare professionals.

                        • Privacy Policy  
                        • Terms and Conditions  
                        • Accessibility  
                        • Help & Contact

                        RELX