Ngā hua rapu - Mishra, Swapnil
- E whakaatu ana i te 1 - 20 hua o te 35
- Haere ki te Whārangi Whai Ake
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A comparison of five epidemiological models for transmission of SARS-CoV-2 in India mā Purkayastha, Soumik, Bhattacharyya, Rupam, Bhaduri, Ritwik, Kundu, Ritoban, Gu, Xuelin, Salvatore, Maxwell, Ray, Debashree, Mishra, Swapnil, Mukherjee, Bhramar
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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 mā Laydon, Daniel J, Mishra, Swapnil, Hinsley, Wes R, Samartsidis, Pantelis, Flaxman, Seth, Gandy, Axel, Ferguson, Neil M, Bhatt, Samir
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Using Hawkes Processes to model imported and local malaria cases in near-elimination settings mā Unwin, H. Juliette T., Routledge, Isobel, Flaxman, Seth, Rizoiu, Marian-Andrei, Lai, Shengjie, Cohen, Justin, Weiss, Daniel J., Mishra, Swapnil, Bhatt, Samir
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A unified machine learning approach to time series forecasting applied to demand at emergency departments mā Vollmer, Michaela A.C., Glampson, Ben, Mellan, Thomas, Mishra, Swapnil, Mercuri, Luca, Costello, Ceire, Klaber, Robert, Cooke, Graham, Flaxman, Seth, Bhatt, Samir
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Inference of COVID-19 epidemiological distributions from Brazilian hospital data mā Hawryluk, Iwona, Mellan, Thomas A., Hoeltgebaum, Henrique, Mishra, Swapnil, Schnekenberg, Ricardo P., Whittaker, Charles, Zhu, Harrison, Gandy, Axel, Donnelly, Christl A., Flaxman, Seth, Bhatt, Samir
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Quantifying Online News Media Coverage of the COVID-19 Pandemic: Text Mining Study and Resource mā Krawczyk, Konrad, Chelkowski, Tadeusz, Laydon, Daniel J, Mishra, Swapnil, Xifara, Denise, Gibert, Benjamin, Flaxman, Seth, Mellan, Thomas, Schwämmle, Veit, Röttger, Richard, Hadsund, Johannes T, Bhatt, Samir
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Correction: Quantifying Online News Media Coverage of the COVID-19 Pandemic: Text Mining Study and Resource mā Krawczyk, Konrad, Chelkowski, Tadeusz, Laydon, Daniel J, Mishra, Swapnil, Xifara, Denise, Gibert, Benjamin, Flaxman, Seth, Mellan, Thomas, Schwämmle, Veit, Röttger, Richard, Hadsund, Johannes T, Bhatt, Samir
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Is the cure really worse than the disease? The health impacts of lockdowns during COVID-19 mā Meyerowitz-Katz, Gideon, Bhatt, Samir, Ratmann, Oliver, Brauner, Jan Markus, Flaxman, Seth, Mishra, Swapnil, Sharma, Mrinank, Mindermann, Sören, Bradley, Valerie, Vollmer, Michaela, Merone, Lea, Yamey, Gavin
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Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach mā Routledge, Isobel, Lai, Shengjie, Battle, Katherine E., Ghani, Azra C., Gomez-Rodriguez, Manuel, Gustafson, Kyle B., Mishra, Swapnil, Unwin, Juliette, Proctor, Joshua L., Tatem, Andrew J., Li, Zhongjie, Bhatt, Samir
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Have deaths from COVID-19 in Europe plateaued due to herd immunity? mā Okell, Lucy C, Verity, Robert, Watson, Oliver J, Mishra, Swapnil, Walker, Patrick, Whittaker, Charlie, Katzourakis, Aris, Donnelly, Christl A, Riley, Steven, Ghani, Azra C, Gandy, Axel, Flaxman, Seth, Ferguson, Neil M, Bhatt, Samir
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Host or pathogen-related factors in COVID-19 severity? – Authors' reply mā Okell, Lucy C, Verity, Robert, Katzourakis, Aris, Volz, Erik M, Watson, Oliver J, Mishra, Swapnil, Walker, Patrick, Whittaker, Charlie, Donnelly, Christl A, Riley, Steven, Ghani, Azra C, Gandy, Axel, Flaxman, Seth, Ferguson, Neil M, Bhatt, Samir
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Genetic evidence for the association between COVID-19 epidemic severity and timing of non-pharmaceutical interventions mā Ragonnet-Cronin, Manon, Boyd, Olivia, Geidelberg, Lily, Jorgensen, David, Nascimento, Fabricia F., Siveroni, Igor, Johnson, Robert A., Baguelin, Marc, Cucunubá, Zulma M., Jauneikaite, Elita, Mishra, Swapnil, Watson, Oliver J., Ferguson, Neil, Cori, Anne, Donnelly, Christl A., Volz, Erik
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A dataset of non-pharmaceutical interventions on SARS-CoV-2 in Europe mā Altman, George, Ahuja, Janvi, Monrad, Joshua Teperowski, Dhaliwal, Gurpreet, Rogers-Smith, Charlie, Leech, Gavin, Snodin, Benedict, Sandbrink, Jonas B., Finnveden, Lukas, Norman, Alexander John, Oehm, Sebastian B., Sandkühler, Julia Fabienne, Kulveit, Jan, Flaxman, Seth, Gal, Yarin, Mishra, Swapnil, Bhatt, Samir, Sharma, Mrinank, Mindermann, Sören, Brauner, Jan Markus
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Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling mā Mishra, Swapnil, Scott, James A., Laydon, Daniel J., Flaxman, Seth, Gandy, Axel, Mellan, Thomas A., Unwin, H. Juliette T., Vollmer, Michaela, Coupland, Helen, Ratmann, Oliver, Monod, Melodie, Zhu, Harrison H., Cori, Anne, Gaythorpe, Katy A. M., Whittles, Lilith K., Whittaker, Charles, Donnelly, Christl A., Ferguson, Neil M., Bhatt, Samir
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Understanding the effectiveness of government interventions against the resurgence of COVID-19 in Europe mā Sharma, Mrinank, Mindermann, Sören, Rogers-Smith, Charlie, Leech, Gavin, Snodin, Benedict, Ahuja, Janvi, Sandbrink, Jonas B., Monrad, Joshua Teperowski, Altman, George, Dhaliwal, Gurpreet, Finnveden, Lukas, Norman, Alexander John, Oehm, Sebastian B., Sandkühler, Julia Fabienne, Aitchison, Laurence, Gavenčiak, Tomáš, Mellan, Thomas, Kulveit, Jan, Chindelevitch, Leonid, Flaxman, Seth, Gal, Yarin, Mishra, Swapnil, Bhatt, Samir, Brauner, Jan Markus
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Estimating the COVID-19 infection fatality ratio accounting for seroreversion using statistical modelling mā Brazeau, Nicholas F., Verity, Robert, Jenks, Sara, Fu, Han, Whittaker, Charles, Winskill, Peter, Dorigatti, Ilaria, Walker, Patrick G. T., Riley, Steven, Schnekenberg, Ricardo P., Hoeltgebaum, Henrique, Mellan, Thomas A., Mishra, Swapnil, Unwin, H. Juliette T., Watson, Oliver J., Cucunubá, Zulma M., Baguelin, Marc, Whittles, Lilith, Bhatt, Samir, Ghani, Azra C., Ferguson, Neil M., Okell, Lucy C.
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Maps and metrics of insecticide-treated net access, use, and nets-per-capita in Africa from 2000-2020 mā Bertozzi-Villa, Amelia, Bever, Caitlin A., Koenker, Hannah, Weiss, Daniel J., Vargas-Ruiz, Camilo, Nandi, Anita K., Gibson, Harry S., Harris, Joseph, Battle, Katherine E., Rumisha, Susan F., Keddie, Suzanne, Amratia, Punam, Arambepola, Rohan, Cameron, Ewan, Chestnutt, Elisabeth G., Collins, Emma L., Millar, Justin, Mishra, Swapnil, Rozier, Jennifer, Symons, Tasmin, Twohig, Katherine A., Hollingsworth, T. Deirdre, Gething, Peter W., Bhatt, Samir
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Anonymised and aggregated crowd level mobility data from mobile phones suggests that initial compliance with COVID-19 social distancing interventions was high and geographically co... mā Jeffrey, Benjamin, Walters, Caroline E., Ainslie, Kylie E. C., Eales, Oliver, Ciavarella, Constanze, Bhatia, Sangeeta, Hayes, Sarah, Baguelin, Marc, Boonyasiri, Adhiratha, Brazeau, Nicholas F., Cuomo-Dannenburg, Gina, FitzJohn, Richard G., Gaythorpe, Katy, Green, William, Imai, Natsuko, Mellan, Thomas A., Mishra, Swapnil, Nouvellet, Pierre, Unwin, H. Juliette T., Verity, Robert, Vollmer, Michaela, Whittaker, Charles, Ferguson, Neil M., Donnelly, Christl A., Riley, Steven
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Age groups that sustain resurging COVID-19 epidemics in the United States mā Monod, Mélodie, Blenkinsop, Alexandra, Xi, Xiaoyue, Hebert, Daniel, Bershan, Sivan, Tietze, Simon, Baguelin, Marc, Bradley, Valerie C., Chen, Yu, Coupland, Helen, Filippi, Sarah, Ish-Horowicz, Jonathan, McManus, Martin, Mellan, Thomas, Gandy, Axel, Hutchinson, Michael, Unwin, H. Juliette T, van Elsland, Sabine L., Vollmer, Michaela A. C., Weber, Sebastian, Zhu, Harrison, Bezancon, Anne, Ferguson, Neil M., Mishra, Swapnil, Flaxman, Seth, Bhatt, Samir, Ratmann, Oliver
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