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Baud, D. anda Qi, X. N.-S. K., Musso, D., Pomar, L., Favre, G., 2020. Real estimates of mortality following covid-19 infection. Lancet Infect Dis.
DOI: 10.1016/S1473-3099(20)30195-X
Brauer, F., Kribs, C., 2016. Dynamical Systems for Biological Modeling. CRC Press, Boca Raton, FL.
Cakir, Z., Savas, H., 2020. A mathematical modelling approach in the spread of the novel 2019 coronavirus sars-cov-2 (covid-19) pandemic. Electronic Journal of General Medicine 17.
Fanelli, D., Piazza, F., 2020. Analysis and forecast of covid-19 spreading in china, italy and france. Chaos, Solitons and Fractals 134.
DOI: 10.1016/j.chaos.2020.109761
Heymann, D., Shindo, N., 2020. Covid-19: what is next for public health? The Lancet.
DOI: 10.1016/S0140-6736(20)30374-3
Kretzschmar, M.and Wallinga, J., 2010. Mathematical models in infectious disease
epidemiology. In: Kr¨amer, A., Kretzschmar, M., Krickeberg, K. (Eds.), Modern Infectious Disease Epidemiology: Concepts, Methods, Mathematical
Models, and Public Health. Springer New York, New York, NY, pp. 209–221.
Lewnard, J., Lo, N., 2020. Scientific and ethical basis for social-distancing interventions against covid-19. Lancet Infect Dis.
DOI: 10.1016/S1473-3099(20)30190-0
Li, Q., Guan, X.,Wu, P.,Wang, X., Zhou, L., Tong, Y., Ren, R., Leung, K., Lau, E., Wong, J., Xing, X., Xiang, N., Wu, Y., Li, C., Chen, Q., Li, D., Liu, T., Zhao, J., Liu, M., Tu, W., Chen, C., Jin, L., Yang, R., Wang, Q., Zhou, S., Wang, R., Liu, H., Luo, Y., Liu, Y., Shao, G., Li, H., Tao, Z., Yang, Y., Deng, Z., Liu, B., Ma, Z., Zhang, Y., Shi, G., Lam, T., Wu, J. T., Gao, G., Cowling, B., Yang, B., Leung, G., Feng, Z., 2020. Early transmission dynamics in wuhan, china, of novel coronavirus infected pneumonian. New England Journal of Medicine 382.
Liu, Y., Gayle, A., Wilder-Smith, A. W.-S., Rockl¨ov, J., 2020a. The reproductive number of covid-19 is higher compared to sars coronavirus. Journal of Travel Medicine 27.
Liu, Y., Yan, M., Wan, L ant Xiang, T., Le, A., Liu, J., Peiris, M., 2020b. Viral dynamics in mild and severe cases of covid-19. Lancet Infect Dis.
DOI: 10.1016/S1473-3099(20)30232-2
Murray, J., 2002. Mathematical Biology. I: An Introduction. Springer, New York, NY.
Nishiura, H., 2016. Methods to determine the end of an infectious disease epidemic: A short review. In: Chowell, G., Hyman, J. M. (Eds.), Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases. Springer International Publishing, New York, NY, pp. 291–301.
Prem, K. and, L. Y., Russell, T., Kucharski, A., Eggo, R., Davies, N., Jit, M., Klepac, P., 2020. The e ect of control strategies to reduce social mixing on outcomes of the covid-19 epidemic in wuhan, china: a modelling study. Lancet Public Health.
DOI: 10.1016/S2468-2667(20)30073-6
Pulido, C., Villarejo-Carballido, B., Redondo-Sama, G., G´omez, A., 2020. Covid-19 infodemic: More retweets for science-based information on coronavirus than for false information. International Sociology, 1–16.
DOI: 10.1177/0268580920914755
Roosa, K., Lee, Y., Luo, R., Kirpich, A., Rothenbergm, R., Hyman, J., Yan, P., Chowell, G., 2020. Treal-time forecasts of the covid-19 epidemic in china from february 5th to february 24th, 2020. Infectious Disease Modelling 5, 256–263.
DOI: 10.1016/j.jaut.2020.102433
Rothan, H., Byrareddy, S., 2020. The epidemiology and pathogenesis of coronavirus disease (covid-19) outbreak. Journal of Autoimmunity, 1–4.
DOI: 10.1016/j.jaut.2020.102433
Ruan, Q., Yang, K., Wang, W., Jiang, L., Song, J., 2020. Clinical predictors of mortality due to covid-19 based on an analysis of data of 150 patients from wuhan, china. Intensive Care Med.
DOI: 10.1007/s00134-020-05991-x
Wilder-Smith, A., Chiew, C., Lee, V., 2020. Can we contain the covid-19 outbreak with the same measures as for sars? Lancet Infect Dis, 1–5.
DOI: 10.1016/S1473-3099(20)30129-8
Wu, D., Wu, T., Liu, Q., Yang, Z., 2020. The sars-cov-2 outbreak: What we know. International Journal of Infectious Diseases 94, 44–48.
DOI: 10.1016/j.ijid.2020.03.004
Xu, B., Kraehmer, M., 2020. Open access epidemiological data from the covid-19 outbreak. Lancet Infect Dis.
DOI: 10.1016/S1473-3099(20)30119-5
Zaracostas, J., 2020. How to fight an infodemic. The Lancet 395, 676.
DOI: 10.1016/S0140-6736(20)30374-3
Zhang, S., Diao, M., Yu, W., Pei, L., Lin, z., Chen, D., 2020. Estimation of the reproductive number of novel coronavirus (covid-19) and the probable outbreak size on the diamond princess cruise ship: A data-driven analysis. International Journal of Infectious Diseases 93, 201–204.
DOI: 10.1016/j.ijid.2020.02.033
DOI: 10.1016/S1473-3099(20)30195-X
Brauer, F., Kribs, C., 2016. Dynamical Systems for Biological Modeling. CRC Press, Boca Raton, FL.
Cakir, Z., Savas, H., 2020. A mathematical modelling approach in the spread of the novel 2019 coronavirus sars-cov-2 (covid-19) pandemic. Electronic Journal of General Medicine 17.
Fanelli, D., Piazza, F., 2020. Analysis and forecast of covid-19 spreading in china, italy and france. Chaos, Solitons and Fractals 134.
DOI: 10.1016/j.chaos.2020.109761
Heymann, D., Shindo, N., 2020. Covid-19: what is next for public health? The Lancet.
DOI: 10.1016/S0140-6736(20)30374-3
Kretzschmar, M.and Wallinga, J., 2010. Mathematical models in infectious disease
epidemiology. In: Kr¨amer, A., Kretzschmar, M., Krickeberg, K. (Eds.), Modern Infectious Disease Epidemiology: Concepts, Methods, Mathematical
Models, and Public Health. Springer New York, New York, NY, pp. 209–221.
Lewnard, J., Lo, N., 2020. Scientific and ethical basis for social-distancing interventions against covid-19. Lancet Infect Dis.
DOI: 10.1016/S1473-3099(20)30190-0
Li, Q., Guan, X.,Wu, P.,Wang, X., Zhou, L., Tong, Y., Ren, R., Leung, K., Lau, E., Wong, J., Xing, X., Xiang, N., Wu, Y., Li, C., Chen, Q., Li, D., Liu, T., Zhao, J., Liu, M., Tu, W., Chen, C., Jin, L., Yang, R., Wang, Q., Zhou, S., Wang, R., Liu, H., Luo, Y., Liu, Y., Shao, G., Li, H., Tao, Z., Yang, Y., Deng, Z., Liu, B., Ma, Z., Zhang, Y., Shi, G., Lam, T., Wu, J. T., Gao, G., Cowling, B., Yang, B., Leung, G., Feng, Z., 2020. Early transmission dynamics in wuhan, china, of novel coronavirus infected pneumonian. New England Journal of Medicine 382.
Liu, Y., Gayle, A., Wilder-Smith, A. W.-S., Rockl¨ov, J., 2020a. The reproductive number of covid-19 is higher compared to sars coronavirus. Journal of Travel Medicine 27.
Liu, Y., Yan, M., Wan, L ant Xiang, T., Le, A., Liu, J., Peiris, M., 2020b. Viral dynamics in mild and severe cases of covid-19. Lancet Infect Dis.
DOI: 10.1016/S1473-3099(20)30232-2
Murray, J., 2002. Mathematical Biology. I: An Introduction. Springer, New York, NY.
Nishiura, H., 2016. Methods to determine the end of an infectious disease epidemic: A short review. In: Chowell, G., Hyman, J. M. (Eds.), Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases. Springer International Publishing, New York, NY, pp. 291–301.
Prem, K. and, L. Y., Russell, T., Kucharski, A., Eggo, R., Davies, N., Jit, M., Klepac, P., 2020. The e ect of control strategies to reduce social mixing on outcomes of the covid-19 epidemic in wuhan, china: a modelling study. Lancet Public Health.
DOI: 10.1016/S2468-2667(20)30073-6
Pulido, C., Villarejo-Carballido, B., Redondo-Sama, G., G´omez, A., 2020. Covid-19 infodemic: More retweets for science-based information on coronavirus than for false information. International Sociology, 1–16.
DOI: 10.1177/0268580920914755
Roosa, K., Lee, Y., Luo, R., Kirpich, A., Rothenbergm, R., Hyman, J., Yan, P., Chowell, G., 2020. Treal-time forecasts of the covid-19 epidemic in china from february 5th to february 24th, 2020. Infectious Disease Modelling 5, 256–263.
DOI: 10.1016/j.jaut.2020.102433
Rothan, H., Byrareddy, S., 2020. The epidemiology and pathogenesis of coronavirus disease (covid-19) outbreak. Journal of Autoimmunity, 1–4.
DOI: 10.1016/j.jaut.2020.102433
Ruan, Q., Yang, K., Wang, W., Jiang, L., Song, J., 2020. Clinical predictors of mortality due to covid-19 based on an analysis of data of 150 patients from wuhan, china. Intensive Care Med.
DOI: 10.1007/s00134-020-05991-x
Wilder-Smith, A., Chiew, C., Lee, V., 2020. Can we contain the covid-19 outbreak with the same measures as for sars? Lancet Infect Dis, 1–5.
DOI: 10.1016/S1473-3099(20)30129-8
Wu, D., Wu, T., Liu, Q., Yang, Z., 2020. The sars-cov-2 outbreak: What we know. International Journal of Infectious Diseases 94, 44–48.
DOI: 10.1016/j.ijid.2020.03.004
Xu, B., Kraehmer, M., 2020. Open access epidemiological data from the covid-19 outbreak. Lancet Infect Dis.
DOI: 10.1016/S1473-3099(20)30119-5
Zaracostas, J., 2020. How to fight an infodemic. The Lancet 395, 676.
DOI: 10.1016/S0140-6736(20)30374-3
Zhang, S., Diao, M., Yu, W., Pei, L., Lin, z., Chen, D., 2020. Estimation of the reproductive number of novel coronavirus (covid-19) and the probable outbreak size on the diamond princess cruise ship: A data-driven analysis. International Journal of Infectious Diseases 93, 201–204.
DOI: 10.1016/j.ijid.2020.02.033
Publicado
2020-07-05
Cómo citar
Ávila-Pozos, R., & Villafuerte-Segura, R. (2020). Editorial. Pädi Boletín Científico De Ciencias Básicas E Ingenierías Del ICBI, 8(15). https://doi.org/10.29057/icbi.v8i15.6004
Tipo de manuscrito
Editorial
