Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Yijun Lou and Yang Lin.
Connection Strength

0.658
  1. A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action. Int J Infect Dis. 2020 Apr; 93:211-216.
    View in: PubMed
    Score: 0.218
  2. Low dispersion in the infectiousness of COVID-19 cases implies difficulty in control. BMC Public Health. 2020 Oct 16; 20(1):1558.
    View in: PubMed
    Score: 0.057
  3. Comparing COVID-19 and the 1918-19 influenza pandemics in the United Kingdom. Int J Infect Dis. 2020 Sep; 98:67-70.
    View in: PubMed
    Score: 0.056
  4. 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. Int J Infect Dis. 2020 Jul; 96:284-287.
    View in: PubMed
    Score: 0.055
  5. Preliminary estimation of the novel coronavirus disease (COVID-19) cases in Iran: A reply to Sharifi. Int J Infect Dis. 2020 06; 95:429-430.
    View in: PubMed
    Score: 0.055
  6. Preliminary estimates of the reproduction number of the coronavirus disease (COVID-19) outbreak in Republic of Korea and Italy by 5 March 2020. Int J Infect Dis. 2020 Jun; 95:308-310.
    View in: PubMed
    Score: 0.055
  7. Preliminary estimation of the novel coronavirus disease (COVID-19) cases in Iran: A modelling analysis based on overseas cases and air travel data. Int J Infect Dis. 2020 May; 94:29-31.
    View in: PubMed
    Score: 0.055
  8. 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. Int J Infect Dis. 2020 05; 94:148-150.
    View in: PubMed
    Score: 0.054
  9. 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. Int J Infect Dis. 2020 Mar; 92:214-217.
    View in: PubMed
    Score: 0.054
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.