bioRxiv/medRxiv TRiP Review Activity

96 Reviews — eLife — Epidemiology

Most recent first Previous |  Page 9: Articles 81-90  | Next

Early life infection and proinflammatory, atherogenic metabolomic and lipidomic profiles at 12 months of age: a population-based cohort study
Mansell, T., Barwon Infant Study Investigator Group, , Saffery, R., Burugupalli, S., Ponsonby, A.-L., Tang, M. L., O'Hely, M., Bekkering, S., Smith, A. A. T., Rowland, R., Ranganathan, S., Sly, P. D., Vuillermin, P., Collier, F., Meikle, P., Burgner, D.
10.1101/2021.12.02.21267173 — Posted: 2021-12-02 — Discussion: 2022-01-21  eLife
Investigating phenotypes of pulmonary COVID-19 recovery: a longitudinal observational prospective multicenter trial
Sonnweber, T., Tymoszuk, P., Sachanic, S., Boehm, A., Pizzini, A., Luger, A., Schwabl, C., Nairz, M., Katharina, K., Koppelstaetter, S., Aichner, M., Bernhard, P., Egger, A., Hoermann, G., Ewald Woell, E., Weiss, G., Widmann, G., Tancevski, I., Loeffler-Ragg, J.
10.1101/2021.06.22.21259316 — Posted: 2021-06-25 — Discussion: 2022-01-21  eLife
What if risk factors influenced the variability of health outcomes as well as the mean? Evidence and implications
Bann, D., Cole, T. J.
10.1101/2021.03.30.21254645 — Posted: 2021-03-31 — Discussion: 2021-12-10  eLife
Estimating salt consumption in 49 low-and middle-income countries: Development, validation and application of a machine learning model
Guzman-Vilca, W. C., Castillo-Cara, M., Carrillo-Larco, R. M.
10.1101/2021.08.31.21262944 — Posted: 2021-09-02 — Discussion: 2021-11-17  eLife
Association of lipid-lowering drugs with COVID-19 outcomes: A Mendelian Randomization study
Huang, W., Xiao, J., Ji, J., Chen, L.-W.
10.1101/2021.07.20.21260813 — Posted: 2021-07-24 — Discussion: 2021-11-10  eLife
Exposure to landscape fire smoke extremely reduced birthweight in low- and middle-income countries
li, j., Guan, T., Guo, Q., Geng, G., Wang, H., Guo, F., Li, J., xue, T.
10.1101/2021.04.27.21256225 — Posted: 2021-04-30 — Discussion: 2021-09-28  eLife
How dynamic social activity shapes an epidemic: waves, plateaus, and endemic state
Tkachenko, A. V., Maslov, S., Wang, T., Elbanna, A., Wong, G. N., Goldenfeld, N.
10.1101/2021.01.28.21250701 — Posted: 2021-02-01 — Discussion: 2021-09-01  eLife
The World Mortality Dataset: Tracking excess mortality across countries during the COVID-19 pandemic
Karlinsky, A., Kobak, D.
10.1101/2021.01.27.21250604 — Posted: 2021-01-29 — Discussion: 2021-06-07  eLife
Increased Burden of Familial-associated Early-onset Cancer Risk among Latino Americans Compared to non-Latino Whites.
Feng, Q., Nickels, E., Muskens, I. S., de Smith, A. J., Gauderman, W. J., Yee, A. C., Ricker, C., Mack, T., Leavitt, A. D., Godley, L. A., Wiemels, J. L.
10.1101/2020.12.11.20247866 — Posted: 2020-12-14 — Discussion: 2021-05-10  eLife
Modeling the impact of racial and ethnic disparities on COVID-19 epidemic dynamics
Ma, K. C., Menkir, T., Kissler, S., Grad, Y., Lipsitch, M.
10.1101/2021.01.15.21249881 — Posted: 2021-01-15 — Discussion: 2021-05-10  eLife

Evaluation Sources