Mishra, Swapnil

Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England

The COVID-19 Genomics UK (COG-UK) consortium, Volz, E., Mishra, S., Chand, M., Barrett, J. C., Johnson, R., Geidelberg, L., Hinsley, W. R., Laydon, D. J., Dabrera, G., et al. (2021) · Nature

SARS-CoV-2 and COVID-19 ResearchCOVID-19 epidemiological studies

Cited by 1,611

Transmission of SARS-CoV-2 Lineage B.1.1.7 in England: Insights from linking epidemiological and genetic data

Volz, E., Mishra, S., Chand, M., Barrett, J. C., Johnson, R., Geidelberg, L., Hinsley, W. R., Laydon, D. J., Dabrera, G., O’Toole, Á., et al. (2021) · Nature

SARS-CoV-2 and COVID-19 ResearchCOVID-19 epidemiological studies

Cited by 1,611

Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil

Faria, N. R., Mellan, T. A., Whittaker, C., Claro, I. M., Candido, D. D. S., Mishra, S., Crispim, M. A. E., Sales, F. C. S., Hawryluk, I., McCrone, J. T., et al. (2021) · Science

SARS-CoV-2 and COVID-19 ResearchCOVID-19 epidemiological studies

Cited by 1,461

SARS-CoV-2 B.1.617.2 Delta variant replication and immune evasion

Mlcochova, P., Kemp, S. A., Dhar, M. S., Papa, G., Meng, B., Ferreira, I. A. T. M., Datir, R., Collier, D. A., Albecka, A., Singh, S., et al. (2021) · Nature

SARS-CoV-2 and COVID-19 ResearchAnimal Virus Infections Studies

Cited by 1,337

The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries

Walker, P. G. T., Whittaker, C., Watson, O. J., Baguelin, M., Winskill, P., Hamlet, A., Djafaara, B. A., Cucunubá, Z., Olivera Mesa, D., Green, W., et al. (2020) · Science

COVID-19 epidemiological studiesCOVID-19 Prevention and Impact

Cited by 993

Evolution and epidemic spread of SARS-CoV-2 in Brazil

Candido, D. S., Claro, I. M., de Jesus, J. G., Souza, W. M., Moreira, F. R. R., Dellicour, S., Mellan, T. A., du Plessis, L., Pereira, R. H. M., Sales, F. C. S., et al. (2020) · Science

SARS-CoV-2 and COVID-19 ResearchCOVID-19 epidemiological studies

Cited by 573

Genomic characterization and Epidemiology of an emerging SARS-CoV-2 variant in Delhi, India

Dhar, M. S., Marwal, R., Radhakrishnan, V., Ponnusamy, K., Jolly, B., Bhoyar, R. C., Sardana, V., Naushin, S., Rophina, M., Mellan, T. A., et al. (2021) · Science

SARS-CoV-2 and COVID-19 ResearchCOVID-19 epidemiological studies

Cited by 296

Response to COVID-19 in South Korea and implications for lifting stringent interventions

Dighe, A., Cattarino, L., Cuomo-Dannenburg, G., Skarp, J., Imai, N., Bhatia, S., Gaythorpe, K. A. M., Ainslie, K. E. C., Baguelin, M., Bhatt, S., et al. (2020) · BMC Medicine

COVID-19 epidemiological studiesCOVID-19 Digital Contact Tracing

Cited by 188

Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis

Coupland, H., Scheidwasser, N., Katsiferis, A., Davies, M., Flaxman, S., Hulvej Rod, N., Mishra, S., Bhatt, S., & Unwin, H. J. T. (2025) · BMC Public Health

Machine Learning in HealthcareExplainable Artificial Intelligence (XAI)

Cited by 26