Connection

Co-Authors

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This is a "connection" page, showing publications co-authored by Christl Donnelly and Kris Parag.
Christl Donnelly
Connection Strength
1.406
Kris Parag
  1. Using information theory to optimise epidemic models for real-time prediction and estimation. PLoS Comput Biol. 2020 07; 16(7):e1007990.
    View in: PubMed
    Score: 0.890
  2. Reduction in mobility and COVID-19 transmission. Nat Commun. 2021 02 17; 12(1):1090.
    View in: PubMed
    Score: 0.232
  3. SARS-CoV-2 infection prevalence on repatriation flights from Wuhan City, China. J Travel Med. 2020 12 23; 27(8).
    View in: PubMed
    Score: 0.058
  4. State-level tracking of COVID-19 in the United States. Nat Commun. 2020 12 03; 11(1):6189.
    View in: PubMed
    Score: 0.057
  5. Database of epidemic trends and control measures during the first wave of COVID-19 in mainland China. Int J Infect Dis. 2021 Jan; 102:463-471.
    View in: PubMed
    Score: 0.057
  6. Key questions for modelling COVID-19 exit strategies. Proc Biol Sci. 2020 08 12; 287(1932):20201405.
    View in: PubMed
    Score: 0.056
  7. Potential impact of the COVID-19 pandemic on HIV, tuberculosis, and malaria in low-income and middle-income countries: a modelling study. Lancet Glob Health. 2020 09; 8(9):e1132-e1141.
    View in: PubMed
    Score: 0.056
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.