Translations of the John Snow Memorandum are intended to help international readers. While every effort has been made to ensure accuracy, if there are any differences in the texts, the original version in English is definitive and was the version published in the Lancet and signed by the original authors and signatories. We'd like to thank our volunteer translators for their hard work in helping make the John Snow Memorandum accesible in as many languages as possible.
This translation was provided by Midaat, and can also be read in Hebrew by clicking here.
This translation was provided by Midaat, and can also be read in Hebrew by clicking here.
מזכר ג'ון סנואו
הפניות
1. Hao X, Cheng S, Wu D, Wu T, Lin X, Wang C. Reconstruction of the full transmission dynamics of COVID-19 in Wuhan. Nature 2020; 584: 420–24.
2. Verity R, Okell LC, Dorigatti I, et al. Estimates of the severity of coronavirus disease 2019: a model-based analysis. Lancet Infect Dis 2020; 20: 669–77.
3. Nature. Long COVID: let patients help define long-lasting COVID symptoms. Nature 2020; 586: 170.
4. Chen Y, Tong X, Li Y, et al. A comprehensive, longitudinal analysis of humoral responses specific to four recombinant antigens of SARS-CoV-2 in severe and non-severe COVID-19 patients. PLoS Pathog 2020; 16: e1008796.
5. Parry J. COVID-19: Hong Kong scientists report first confirmed case of reinfection. BMJ 2020; 370: m3340.
6. Flaxman S, Mishra S, Gandy A, et al. Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe. Nature 2020; 584: 257–61.
7. Dehning J, Zierenberg J, Spitzner FP, et al. Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions. Science 2020; 369: eabb9789.
8. Clark A, Jit M, Warren-Gash C, et al. Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study. Lancet Glob Health 2020; 8: e1003–17.
1. Hao X, Cheng S, Wu D, Wu T, Lin X, Wang C. Reconstruction of the full transmission dynamics of COVID-19 in Wuhan. Nature 2020; 584: 420–24.
2. Verity R, Okell LC, Dorigatti I, et al. Estimates of the severity of coronavirus disease 2019: a model-based analysis. Lancet Infect Dis 2020; 20: 669–77.
3. Nature. Long COVID: let patients help define long-lasting COVID symptoms. Nature 2020; 586: 170.
4. Chen Y, Tong X, Li Y, et al. A comprehensive, longitudinal analysis of humoral responses specific to four recombinant antigens of SARS-CoV-2 in severe and non-severe COVID-19 patients. PLoS Pathog 2020; 16: e1008796.
5. Parry J. COVID-19: Hong Kong scientists report first confirmed case of reinfection. BMJ 2020; 370: m3340.
6. Flaxman S, Mishra S, Gandy A, et al. Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe. Nature 2020; 584: 257–61.
7. Dehning J, Zierenberg J, Spitzner FP, et al. Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions. Science 2020; 369: eabb9789.
8. Clark A, Jit M, Warren-Gash C, et al. Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study. Lancet Glob Health 2020; 8: e1003–17.