Epidemics

Displaying 1 - 23 of 23CSV
Teasdale, C. A., Zimba, R., Low, A., Nuwagaba-Biribonwoha, H., Ndagije, F., Tenthani, L., Mugurungi, O., Kreniske, P., & Abrams, E. J. (2025). Evidence from two rounds of Population HIV Impact Assessments of progress towards HIV epidemic control in adolescents aged 15–19 years in Eswatini, Lesotho, Malawi, and Zimbabwe: a cross-sectional study. The Lancet Global Health, 13(7), e1221–e1229. https://doi.org/10.1016/s2214-109x(25)00106-8
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van Boven, M., van Dorp, C. H., Westerhof, I., Jaddoe, V., Heuvelman, V., Duijts, L., Fourie, E., Sluiter-Post, J., van Houten, M. A., Badoux, P., Euser, S., Herpers, B., Eggink, D., de Hoog, M., Boom, T., Wildenbeest, J., Bont, L., Rozhnova, G., Bonten, M. J., … Bruijning-Verhagen, P. (2024). Estimation of introduction and transmission rates of SARS-CoV-2 in a prospective household study. PLOS Computational Biology, 20(1), e1011832. https://doi.org/10.1371/journal.pcbi.1011832
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Nodari, R., Perini, M., Fois, L., Sterzi, L., Luconi, E., Vaglienti, F., Bandi, C., Biganzoli, E., Galli, M., & Comandatore, F. (2023). Computational protocol to perform a spatiotemporal reconstruction of an epidemic. STAR Protocols, 4(4), 102548. https://doi.org/10.1016/j.xpro.2023.102548
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Webster, J. L., Rafalko, N., Thorpe, L. E., Duncan, D. T., Gracely, E. J., & Goldstein, N. D. (2023). Alignment of Ending the HIV Epidemic Priority Jurisdictions With Availability of HIV Service Organizations: An Ecological Study. AIDS Education and Prevention, 35(4), 320–331. https://doi.org/10.1521/aeap.2023.35.4.320
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Barros-Sierra, D., Zepeda-Tello, R., Tamayo-Ortiz, M., Gutiérrez-Díaz, H. O., Pérez-Chávez, V. A., Rosa-Parra, J. A., Nieto-Barajas, L. E., Méndez-Aranda, M., Herrera-Montalvo, L. A., & Hernández-Ávila, M. (2023). SARS-CoV-2 seroprevalence and respiratory disease disability claims in Mexico City Metropolitan Area. Salud Pública de México, 65(4, jul-ago), 334–343. https://doi.org/10.21149/14545
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Zeng, Q., Yu, X., Ni, H., Xiao, L., Xu, T., Wu, H., Chen, Y., Deng, H., Zhang, Y., Pei, S., Xiao, J., & Guo, P. (2023). Dengue transmission dynamics prediction by combining metapopulation networks and Kalman filter algorithm. PLOS Neglected Tropical Diseases, 17(6), e0011418. https://doi.org/10.1371/journal.pntd.0011418
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Ryu, S., Han, C., Ali, S. T., Achangwa, C., Yang, B., & Pei, S. (2023). Association of public health and social measures on the hand-foot-mouth epidemic in South Korea. Journal of Infection and Public Health, 16(6), 859–864. https://doi.org/10.1016/j.jiph.2023.03.029
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Restar, A., Minalga, B. J., Quilantang, Ma. I., Adamson, T., Dusic, E., van der Merwe, L.-A., Millet, G., Rosadiño, D., Laguing, T., Lett, E., Everhart, A., Phillips, G., Janamnuaysook, R., Seekaew, P., Baker, K., Ashley, F., Wickersham, J., Wallace, S. E., Operario, D., & Gamarel, K. E. (2023). Mapping Community-Engaged Implementation Strategies with Transgender Scientists, Stakeholders, and Trans-Led Community Organizations. Current HIV/AIDS Reports, 20(3), 160–169. https://doi.org/10.1007/s11904-023-00656-y
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Zhang, C., Zhang, X., Bai, Y., Lau, E. H. Y., & Pei, S. (2022). The Structural Identifiability of a Humidity-Driven Epidemiological Model of Influenza Transmission. Viruses, 14(12), 2795. https://doi.org/10.3390/v14122795
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Zhang, B., Huang, W., Pei, S., Zeng, J., Shen, W., Wang, D., Wang, G., Chen, T., Yang, L., Cheng, P., Wang, D., Shu, Y., & Du, X. (2022). Mechanisms for the circulation of influenza A(H3N2) in China: A spatiotemporal modelling study. PLOS Pathogens, 18(12), e1011046. https://doi.org/10.1371/journal.ppat.1011046
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Du, Z., Wang, C., Liu, C., Bai, Y., Pei, S., Adam, D. C., Wang, L., Wu, P., Lau, E. H. Y., & Cowling, B. J. (2022). Systematic review and meta‐analyses of superspreading of SARS‐CoV‐2 infections. Transboundary and Emerging Diseases, 69(5). Portico. https://doi.org/10.1111/tbed.14655
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Jones, J., Knox, J., Meanley, S., Yang, C., Lounsbury, D. W., Huang, T. T., Bauermeister, J., Gonzalez-Hernandez, G., Frye, V., Grov, C., Patel, V., Baral, S. D., Sullivan, P. S., & Schwartz, S. R. (2022). Explorations of the Role of Digital Technology in HIV-Related Implementation Research: Case Comparisons of Five Ending the HIV Epidemic Supplement Awards. JAIDS Journal of Acquired Immune Deficiency Syndromes, 90(S1), S226–S234. https://doi.org/10.1097/qai.0000000000002983
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Mitchell, K. M., Maheu-Giroux, M., Dimitrov, D., Moore, M., Hughes, J. P., Donnell, D., Beyrer, C., El-Sadr, W. M., Cohen, M. S., & Boily, M. C. (2021). How Can Progress Toward Ending the Human Immunodeficiency Virus Epidemic in the United States Be Monitored? Clinical Infectious Diseases, 75(1), 163–169. https://doi.org/10.1093/cid/ciab976
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Columbia Affiliation
Schneider, T., Dunbar, O. R. A., Wu, J., Böttcher, L., Burov, D., Garbuno-Inigo, A., Wagner, G. L., Pei, S., Daraio, C., Ferrari, R., & Shaman, J. (2022). Epidemic management and control through risk-dependent individual contact interventions. PLOS Computational Biology, 18(6), e1010171. https://doi.org/10.1371/journal.pcbi.1010171
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Philbin, M. M., & Perez-Brumer, A. (2022). Promise, perils and cautious optimism: the next frontier in long-acting modalities for the treatment and prevention of HIV. Current Opinion in HIV and AIDS, 17(2), 72–88. https://doi.org/10.1097/coh.0000000000000723
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Lulseged, S., Melaku, Z., Habteselassie, A., West, C. A., Gelibo, T., Belete, W., Tefera, F., Farahani, M., Demissie, M., Teferi, W., Abdella, S., Birhanu, S., & Ross, C. E. (2022). Progress towards controlling the HIV epidemic in urban Ethiopia: Findings from the 2017–2018 Ethiopia population-based HIV impact assessment survey. PLOS ONE, 17(2), e0264441. https://doi.org/10.1371/journal.pone.0264441
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El-Bassel, N., Mukherjee, T. I., Stoicescu, C., Starbird, L. E., Stockman, J. K., Frye, V., & Gilbert, L. (2022). Intertwined epidemics: progress, gaps, and opportunities to address intimate partner violence and HIV among key populations of women. The Lancet HIV, 9(3), e202–e213. https://doi.org/10.1016/s2352-3018(21)00325-8
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Pollett, S., Johansson, M. A., Reich, N. G., Brett-Major, D., Del Valle, S. Y., Venkatramanan, S., Lowe, R., Porco, T., Berry, I. M., Deshpande, A., Kraemer, M. U. G., Blazes, D. L., Pan-ngum, W., Vespigiani, A., Mate, S. E., Silal, S. P., Kandula, S., Sippy, R., Quandelacy, T. M., … Rivers, C. (2021). Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines. PLOS Medicine, 18(10), e1003793. https://doi.org/10.1371/journal.pmed.1003793
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Eaton, J. W., Dwyer‐Lindgren, L., Gutreuter, S., O’Driscoll, M., Stevens, O., Bajaj, S., Ashton, R., Hill, A., Russell, E., Esra, R., Dolan, N., Anifowoshe, Y. O., Woodbridge, M., Fellows, I., Glaubius, R., Haeuser, E., Okonek, T., Stover, J., Thomas, M. L., … Shiraishi, R. W. (2021). Naomi: a new modelling tool for estimating HIV epidemic indicators at the district level in sub‐Saharan Africa. Journal of the International AIDS Society, 24(S5). Portico. https://doi.org/10.1002/jia2.25788
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