Co-Authors
This is a "connection" page, showing publications co-authored by Daniel Laydon and Swapnil Mishra.
Connection Strength
1.052
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Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling. Sci Rep. 2021 08 11; 11(1):16342.
Score: 0.240
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Modelling the impact of the tier system on SARS-CoV-2 transmission in the UK between the first and second national lockdowns. BMJ Open. 2021 04 22; 11(4):e050346.
Score: 0.235
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Correction: Quantifying Online News Media Coverage of the COVID-19 Pandemic: Text Mining Study and Resource. J Med Internet Res. 2021 Jul 14; 23(7):e31544.
Score: 0.060
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Quantifying Online News Media Coverage of the COVID-19 Pandemic: Text Mining Study and Resource. J Med Internet Res. 2021 06 02; 23(6):e28253.
Score: 0.059
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Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil. Science. 2021 05 21; 372(6544):815-821.
Score: 0.059
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Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England. Nature. 2021 05; 593(7858):266-269.
Score: 0.059
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SARS-CoV-2 infection prevalence on repatriation flights from Wuhan City, China. J Travel Med. 2020 12 23; 27(8).
Score: 0.058
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State-level tracking of COVID-19 in the United States. Nat Commun. 2020 12 03; 11(1):6189.
Score: 0.057
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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.
Score: 0.057
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Response to COVID-19 in South Korea and implications for lifting stringent interventions. BMC Med. 2020 10 09; 18(1):321.
Score: 0.057
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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.
Score: 0.056
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The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries. Science. 2020 07 24; 369(6502):413-422.
Score: 0.055