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This is a "connection" page, showing publications co-authored by Daihai He and Maggie Wang.
Daihai He
Connection Strength
5.209
Maggie Wang
  1. Shrinkage in serial intervals across transmission generations of COVID-19. J Theor Biol. 2021 11 21; 529:110861.
    View in: PubMed
    Score: 0.240
  2. Estimating the generation interval and inferring the latent period of COVID-19 from the contact tracing data. Epidemics. 2021 09; 36:100482.
    View in: PubMed
    Score: 0.238
  3. Attach importance of the bootstrap t test against Student's t test in clinical epidemiology: a demonstrative comparison using COVID-19 as an example. Epidemiol Infect. 2021 04 30; 149:e107.
    View in: PubMed
    Score: 0.236
  4. Inferencing superspreading potential using zero-truncated negative binomial model: exemplification with COVID-19. BMC Med Res Methodol. 2021 02 10; 21(1):30.
    View in: PubMed
    Score: 0.232
  5. The changing patterns of COVID-19 transmissibility during the social unrest in the United States: A nationwide ecological study with a before-and-after comparison. One Health. 2021 Jun; 12:100201.
    View in: PubMed
    Score: 0.229
  6. 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: 0.227
  7. Effects of particulate matter exposure on the transmissibility and case fatality rate of COVID-19: A Nationwide Ecological Study in China. J Travel Med. 2020 09 26; 27(6).
    View in: PubMed
    Score: 0.226
  8. Initial COVID-19 Transmissibility and Three Gaseous Air Pollutants (NO2, SO2, and CO): A Nationwide Ecological Study in China. Front Med (Lausanne). 2020; 7:575839.
    View in: PubMed
    Score: 0.226
  9. A re-analysis in exploring the association between temperature and COVID-19 transmissibility: an ecological study with 154 Chinese cities. Eur Respir J. 2020 08; 56(2).
    View in: PubMed
    Score: 0.225
  10. Estimation of exponential growth rate and basic reproduction number of the coronavirus disease 2019 (COVID-19) in Africa. Infect Dis Poverty. 2020 Jul 16; 9(1):96.
    View in: PubMed
    Score: 0.223
  11. The ambient ozone and COVID-19 transmissibility in China: A data-driven ecological study of 154 cities. J Infect. 2020 09; 81(3):e9-e11.
    View in: PubMed
    Score: 0.223
  12. Estimating the serial interval of the novel coronavirus disease (COVID-19) based on the public surveillance data in Shenzhen, China, from 19 January to 22 February 2020. Transbound Emerg Dis. 2020 Nov; 67(6):2818-2822.
    View in: PubMed
    Score: 0.222
  13. Real-time estimation of the reproduction number of the novel coronavirus disease (COVID-19) in China in 2020 based on incidence data. Ann Transl Med. 2020 Jun; 8(11):689.
    View in: PubMed
    Score: 0.221
  14. COVID-19 and gender-specific difference: Analysis of public surveillance data in Hong Kong and Shenzhen, China, from January 10 to February 15, 2020. Infect Control Hosp Epidemiol. 2020 06; 41(6):750-751.
    View in: PubMed
    Score: 0.221
  15. Serial interval in determining the estimation of reproduction number of the novel coronavirus disease (COVID-19) during the early outbreak. J Travel Med. 2020 05 18; 27(3).
    View in: PubMed
    Score: 0.221
  16. 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: 0.220
  17. The relative transmissibility of asymptomatic COVID-19 infections among close contacts. Int J Infect Dis. 2020 May; 94:145-147.
    View in: PubMed
    Score: 0.219
  18. Imitation dynamics in the mitigation of the novel coronavirus disease (COVID-19) outbreak in Wuhan, China from 2019 to 2020. Ann Transl Med. 2020 Apr; 8(7):448.
    View in: PubMed
    Score: 0.219
  19. Quantifying the association between domestic travel and the exportation of novel coronavirus (2019-nCoV) cases from Wuhan, China in 2020: a correlational analysis. J Travel Med. 2020 03 13; 27(2).
    View in: PubMed
    Score: 0.218
  20. 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
  21. 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: 0.217
  22. Estimating the Unreported Number of Novel Coronavirus (2019-nCoV) Cases in China in the First Half of January 2020: A Data-Driven Modelling Analysis of the Early Outbreak. J Clin Med. 2020 Feb 01; 9(2).
    View in: PubMed
    Score: 0.216
  23. 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: 0.216
  24. Positive RT-PCR tests among discharged COVID-19 patients in Shenzhen, China. Infect Control Hosp Epidemiol. 2020 09; 41(9):1110-1112.
    View in: PubMed
    Score: 0.055
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.