An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China.

A novel coronavirus from patients with pneumonia in China, 2019

Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001017 · Cited by 28,244 · see citing works

A pneumonia outbreak associated with a new coronavirus of probable bat origin

Zhou, P., Yang, X.-L., Wang, X.-G., Hu, B., Zhang, L., Zhang, W., Si, H.-R., Zhu, Y., Li, B., Huang, C.-L., et al. (2020) · Nature · doi:10.1038/s41586-020-2012-7 · Cited by 21,969 · see citing works

Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia

Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., Ren, R., Leung, K. S. M., Lau, E. H. Y., Wong, J. Y., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001316 · Cited by 16,575 · see citing works

Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding

Lu, R., Zhao, X., Li, J., Niu, P., Yang, B., Wu, H., Wang, W., Song, H., Huang, B., Zhu, N., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30251-8 · Cited by 11,907 · see citing works

A new coronavirus associated with human respiratory disease in China

Wu, F., Zhao, S., Yu, B., Chen, Y.-M., Wang, W., Song, Z.-G., Hu, Y., Tao, Z.-W., Tian, J.-H., Pei, Y.-Y., et al. (2020) · Nature · doi:10.1038/s41586-020-2008-3 · Cited by 11,688 · see citing works

Global trends in emerging infectious diseases

Jones, K. E., Patel, N. G., Levy, M. A., Storeygard, A., Balk, D., Gittleman, J. L., & Daszak, P. (2008) · Nature · doi:10.1038/nature06536 · Cited by 8,338 · see citing works

Infectious Diseases of Humans: Dynamics and Control

(1992) · Annals of Internal Medicine · doi:10.7326/0003-4819-117-2-174_4 · Cited by 7,818 · see citing works

A novel coronavirus outbreak of global health concern

Wang, C., Horby, P. W., Hayden, F. G., & Gao, G. F. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30185-9 · Cited by 7,700 · see citing works

Bootstrap Methods and their Application

Davison, A. C., & Hinkley, D. V. (1997) · doi:10.1017/cbo9780511802843 · Cited by 7,350 · see citing works

Infectious Diseases of Humans: Dynamics and Control

Anderson, R. M., & May, R. M. (1991) · doi:10.1093/oso/9780198545996.001.0001 · Cited by 6,179 · see citing works

Bootstrap Methods and Their Application

Loughin, T. M., Davison, A. C., & HINKLEY, D. V. (1999) · Journal of the American Statistical Association · doi:10.2307/2669707 · Cited by 5,478 · see citing works

Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study

Wu, J. T., Leung, K., & Leung, G. M. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30260-9 · Cited by 4,389 · see citing works

The effect of human mobility and control measures on the COVID-19 epidemic in China

Kraemer, M. U. G., Yang, C.-H., Gutiérrez, B., Wu, C., Klein, B., Pigott, D. M., open COVID-19 data working group, du Plessis, L., Faria, N. R., Li, R., et al. (2020) · Science · doi:10.1126/science.abb4218 · Cited by 2,950 · see citing works

Essential Medical Statistics

Kirkwood, B. R., & Sterne, J. A. C. (2014) · Bristol Research (University of Bristol) · Cited by 2,820 · see citing works

The challenge of emerging and re-emerging infectious diseases

Morens, D. M., Folkers, G. K., & Fauci, A. S. (2004) · Nature · doi:10.1038/nature02759 · Cited by 2,107 · see citing works

Strategies for containing an emerging influenza pandemic in Southeast Asia

Ferguson, N. M., Cummings, D. A. T., Cauchemez, S., Fraser, C., Riley, S., Meeyai, A. C., Iamsirithaworn, S., & Burke, D. S. (2005) · Nature · doi:10.1038/nature04017 · Cited by 1,788 · see citing works

The Hidden Geometry of Complex, Network-Driven Contagion Phenomena

Brockmann, D., & Helbing, D. (2013) · Science · doi:10.1126/science.1245200 · Cited by 1,253 · see citing works

Prediction and prevention of the next pandemic zoonosis.

Morse, S. S., Mazet, J. A., Woolhouse, M., Parrish, C. R., Carroll, D., Karesh, W. B., Zambrana-Torrelio, C., Lipkin, W. I., & Daszak, P. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61684-5 · Cited by 1,070 · see citing works

Quantifying the Impact of Human Mobility on Malaria

Wesolowski, A., Eagle, N., Tatem, A. J., Smith, D. L., Noor, A. M., Snow, R. W., & Buckee, C. O. (2012) · Science · doi:10.1126/science.1223467 · Cited by 992 · see citing works

Travelling waves and spatial hierarchies in measles epidemics

Grenfell, B. T., Bjørnstad, O. N., & Kappey, J. (2001) · Nature · doi:10.1038/414716a · Cited by 952 · see citing works

Synchrony, Waves, and Spatial Hierarchies in the Spread of Influenza

Viboud, C. G., Bjørnstad, O. N., Smith, D. L., Simonsen, L., Miller, M. A., & Grenfell, B. T. (2006) · Science · doi:10.1126/science.1125237 · Cited by 832 · see citing works

COVID-19 control in China during mass population movements at New Year

Chen, S., Yang, J., Yang, W., Wang, C., & Bärnighausen, T. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30421-9 · Cited by 815 · see citing works

Spatial population dynamics: analyzing patterns and processes of population synchrony

Bjørnstad, O. N., Ims, R. A., & Lambin, X. (1999) · Trends in Ecology & Evolution · doi:10.1016/s0169-5347(99)01677-8 · Cited by 771 · see citing works

Roads, Railroads, and Decentralization of Chinese Cities

Baum-Snow, N. B., Brandt, L., Henderson, J. V., Turner, M. A., & Zhang, Q. (2017) · The Review of Economics and Statistics · doi:10.1162/rest_a_00660 · Cited by 759 · see citing works

Impact of human mobility on the emergence of dengue epidemics in Pakistan

Wesolowski, A., Qureshi, T., Boni, M. F., Sundsøy, P., Johansson, M. A., Rasheed, S. B., Engø‐Monsen, K., & Buckee, C. O. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1504964112 · Cited by 505 · see citing works

From “A”IV to “Z”IKV: Attacks from Emerging and Re-emerging Pathogens

Gao, G. F. (2018) · Cell · doi:10.1016/j.cell.2018.02.025 · Cited by 302 · see citing works

The impact of transmission control measures during the first 50 days of the COVID-19 epidemic in ChinaPreprint

Tian, H., Liu, Y., Li, Y., et al. (2020) · medRxiv · doi:10.1101/2020.01.30.20019844 · Cited by 114 · see citing works

Urbanization prolongs hantavirus epidemics in cities

Tian, H., Hu, S., Cazelles, B., Chowell, G., Gao, L., Laine, M., Li, Y., Hui-suo, Y., Li, Y., Yang, Q., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1712767115 · Cited by 112 · see citing works

Discrete Time Modelling of Disease Incidence Time Series by Using Markov Chain Monte Carlo Methods

Morton, A., & Finkenstadt, B. F. (2005) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.1111/j.1467-9876.2005.05366.x · Cited by 63 · see citing works

Roles of Different Transport Modes in the Spatial Spread of the 2009 Influenza A(H1N1) Pandemic in Mainland China

Cai, J., Xu, B., Chan, K. K. Y., Zhang, X., Zhang, B., Chen, Z., & Xu, B. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16020222 · Cited by 33 · see citing works

Probability and Statistics

Downton, F., & Bailey, D. E. (1972) · International Statistical Review · doi:10.2307/1402768 · Cited by 21 · see citing works

The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak

Chinazzi, M., Davis, J. T., Ajelli, M., Gioannini, C., Litvinova, M., Merler, S., Pastore y Piontti, A., Mu, K., Rossi, L., Sun, K., et al. (2020) · Science · doi:10.1126/science.aba9757 · Cited by 3,694 · see citing works

The effect of human mobility and control measures on the COVID-19 epidemic in China

Kraemer, M. U. G., Yang, C.-H., Gutiérrez, B., Wu, C., Klein, B., Pigott, D. M., open COVID-19 data working group, du Plessis, L., Faria, N. R., Li, R., et al. (2020) · Science · doi:10.1126/science.abb4218 · Cited by 2,950 · see citing works

School closure and management practices during coronavirus outbreaks including COVID-19: a rapid systematic review

Viner, R. M., Russell, S. J., Croker, H., Packer, J., Ward, J., Stansfield, C., Mytton, O., Bonell, C., & Booy, R. (2020) · The Lancet Child & Adolescent Health · doi:10.1016/s2352-4642(20)30095-x · Cited by 2,213 · see citing works

Association of public health interventions with the epidemiology of the COVID-19 outbreak in Wuhan, China

Pan, A., Liu, L., Wang, C., Guo, H., Hao, X., Wang, Q., Huang, J., He, N., Yu, H., Lin, X., et al. (2020) · JAMA · doi:10.1001/jama.2020.6130 · Cited by 1,931 · see citing works

Airborne transmission of SARS-CoV-2: The world should face the reality

Morawska, L., & Cao, J. (2020) · Environment International · doi:10.1016/j.envint.2020.105730 · Cited by 1,728 · see citing works

Mobility network models of COVID-19 explain inequities and inform reopening

Chang, S., Pierson, E., Koh, P. W., Gerardin, J., Redbird, B., Grusky, D., & Leskovec, J. (2021) · Nature · doi:10.1038/s41586-020-2923-3 · Cited by 1,533 · see citing works

Ranking the effectiveness of worldwide COVID-19 government interventions

Haug, N., Geyrhofer, L., Londei, A., Dervic, E., Desvars-Larrive, A., Loreto, V., Pinior, B., Thurner, S., & Klimek, P. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-01009-0 · Cited by 1,412 · see citing works

The effect of large-scale anti-contagion policies on the COVID-19 pandemic

Hsiang, S., Allen, D., Annan-Phan, S., Bell, K., Bolliger, I. W., Chong, T., Druckenmiller, H., Huang, L. Y., Hultgren, A., Krasovich, E., et al. (2020) · Nature · doi:10.1038/s41586-020-2404-8 · Cited by 1,378 · see citing works

Effect of non-pharmaceutical interventions to contain COVID-19 in China

Lai, S., Ruktanonchai, N., Zhou, L., Prosper, O., Luo, W. P., Floyd, J., Wesolowski, A., Santillana, M., Zhang, C., Du, X., et al. (2020) · Nature · doi:10.1038/s41586-020-2293-x · Cited by 1,357 · see citing works

The COVID-19 pandemic: Impacts on cities and major lessons for urban planning, design, and management

Sharifi, A., & Khavarian-Garmsir, A. R. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.142391 · Cited by 1,177 · see citing works

Estimating the burden of SARS-CoV-2 in France

Salje, H., Tran Kiem, C., Lefrancq, N., Courtejoie, N., Bosetti, P., Paireau, J., Andronico, A., Hozé, N., Richet, J., Dubost, C.-L., et al. (2020) · Science · doi:10.1126/science.abc3517 · Cited by 1,038 · see citing works

Acceptance of COVID-19 Vaccination during the COVID-19 Pandemic in China

Wang, J., Jing, R., Lai, X., Zhang, H., Lyu, Y., Knoll, M. D., & Fang, H. (2020) · Vaccines · doi:10.3390/vaccines8030482 · Cited by 972 · see citing works

Enhanced secondary pollution offset reduction of primary emissions during COVID-19 lockdown in China

Huang, X., Ding, A., Gao, J. G., Zheng, B., Zhou, D., Qi, X., Tang, R., Wang, J., Ren, C., Nie, W., et al. (2020) · National Science Review · doi:10.1093/nsr/nwaa137 · Cited by 959 · see citing works

Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study

Badr, H. S., Du, H., Marshall, M., Dong, E., Squire, M. M., & Gardner, L. M. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30553-3 · Cited by 851 · see citing works

The Science Underlying COVID-19

Liu, P. P., Blet, A., Smyth, D. R., & Li, H. (2020) · Circulation · doi:10.1161/circulationaha.120.047549 · Cited by 803 · see citing works

Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China

Wei, J., Li, Z., Li, K., Dickerson, R. R., Pinker, R. T., Wang, J., Liu, X., Sun, L., Xue, W., & Cribb, M. C. (2021) · Remote Sensing of Environment · doi:10.1016/j.rse.2021.112775 · Cited by 701 · see citing works

High Temperature and High Humidity Reduce the Transmission of COVID-19Preprint

Wang, J., Tang, K., Feng, K., & Lv, W. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3551767 · Cited by 681 · see citing works

Does lockdown reduce air pollution? Evidence from 44 cities in northern China

Bao, R. M., & Zhang, A. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.139052 · Cited by 657 · see citing works

Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle

Oliver, N., Lepri, B., Sterly, H., Lambiotte, R., Deletaille, S., De Nadai, M., Letouzé, E., Salah, A. A., Benjamins, R., Cattuto, C., et al. (2020) · Science Advances · doi:10.1126/sciadv.abc0764 · Cited by 631 · see citing works

Physical distancing interventions and incidence of coronavirus disease 2019: natural experiment in 149 countries

Islam, N., Sharp, S. J., Chowell, G., Shabnam, S., Kawachi, I., Lacey, B., Massaro, J. M., D’Agostino, R. B., & White, M. (2020) · BMJ · doi:10.1136/bmj.m2743 · Cited by 601 · see citing works

Human mobility restrictions and the spread of the Novel Coronavirus (2019-nCoV) in China

(2020) · doi:10.1016/j.jpubeco.2020.104272 · Cited by 603 · see citing works

Impacts of social and economic factors on the transmission of coronavirus disease 2019 (COVID-19) in China

Qiu, Y., Chen, X., & Shi, W. K. (2020) · Journal of Population Economics · doi:10.1007/s00148-020-00778-2 · Cited by 597 · see citing works

Air quality changes during the COVID-19 lockdown over the Yangtze River Delta Region: An insight into the impact of human activity pattern changes on air pollution variation

Li, L., Li, Q., Huang, L., Wang, Q., Zhu, A., Xu, J., Liu, Z.-Y., Li, H.-L., Shi, L.-S., Li, R., et al. (2020) · Science of the Total Environment · doi:10.1016/j.scitotenv.2020.139282 · Cited by 539 · see citing works

The impact of COVID-19 nonpharmaceutical interventions on the future dynamics of endemic infections

Baker, R. E., Park, S. W., Yang, W., Vecchi, G. A., Metcalf, C. J. E., & Grenfell, B. T. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2013182117 · Cited by 590 · see citing works

A Systematic Review of COVID-19 Epidemiology Based on Current Evidence

Park, M., Cook, A. R., Lim, J. T., Sun, Y., & Dickens, B. S. L. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9040967 · Cited by 588 · see citing works

Reduction in mobility and COVID-19 transmission

Nouvellet, P., Bhatia, S., Cori, A., Ainslie, K. E. C., Baguelin, M., Bhatt, S., Boonyasiri, A., Brazeau, N. F., Cattarino, L., Cooper, L., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21358-2 · Cited by 574 · see citing works

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 · doi:10.1126/science.abd2161 · Cited by 573 · see citing works

Covid-19 and community mitigation strategies in a pandemic

Ebrahim, S. H., Ahmed, Q. A. A., Gozzer, E., Schlagenhauf, P., & Memish, Z. A. (2020) · BMJ · doi:10.1136/bmj.m1066 · Cited by 553 · see citing works

Non-pharmaceutical interventions during the COVID-19 pandemic: A review

Perra, N. (2021) · Physics Reports · doi:10.1016/j.physrep.2021.02.001 · Cited by 518 · see citing works

Household secondary attack rate of COVID-19 and associated determinants in Guangzhou, China: a retrospective cohort study

Jing, Q.-L., Liu, M.-J., Zhang, Z.-B., Fang, L.-Q., Yuan, J., Zhang, A.-R., Dean, N. E., Luo, L., Ma, M.-M., Longini, I. M., et al. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30471-0 · Cited by 492 · see citing works

Effects of the COVID-19 Lockdown on Urban Mobility: Empirical Evidence from the City of Santander (Spain)

Aloi, A., Alonso, B., Benavente, J., Cordera, R., Echániz, E., González, F., Ladisa, C., Lezama-Romanelli, R., López-Parra, Á., Mazzei, V., et al. (2020) · Sustainability · doi:10.3390/su12093870 · Cited by 481 · see citing works

Reduction of secondary transmission of SARS-CoV-2 in households by face mask use, disinfection and social distancing: a cohort study in Beijing, China

Wang, Y., Tian, H., Zhang, L., Zhang, M., Guo, D., Wu, W., Zhang, X., Kan, G. L., Jia, L., Huo, D., et al. (2020) · BMJ Global Health · doi:10.1136/bmjgh-2020-002794 · Cited by 487 · see citing works

Balancing Governance Capacity and Legitimacy: How the Norwegian Government Handled the COVID ‐19 Crisis as a High Performer

Christensen, T., & Lægreid, P. (2020) · Public Administration Review · doi:10.1111/puar.13241 · Cited by 462 · see citing works

Geographic Differences in COVID-19 Cases, Deaths, and Incidence — United States, February 12–April 7, 2020

CDC COVID-19 Response Team, CDC COVID-19 Response Team, Bialek, S. R., Bowen, V. B., Chow, N. A., Curns, A. T., Gierke, R., Hall, A. J., Hughes, M. M., Pilishvili, T., et al. (2020) · MMWR Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6915e4 · Cited by 459 · see citing works

COVID-19: Discovery, diagnostics and drug development

Asselah, T., Durantel, D., Pasmant, É., Lau, G. K. K., & Schinazi, R. F. (2020) · Journal of Hepatology · doi:10.1016/j.jhep.2020.09.031 · Cited by 459 · see citing works

Reconstruction of the full transmission dynamics of COVID-19 in Wuhan

Hao, X., Cheng, S., Wu, D., Wu, T., Lin, X., & Wang, C. (2020) · Nature · doi:10.1038/s41586-020-2554-8 · Cited by 419 · see citing works

Establishment and lineage dynamics of the SARS-CoV-2 epidemic in the UK

du Plessis, L., McCrone, J. T., Zarebski, A. E., Hill, V., Ruis, C., Gutiérrez, B., Raghwani, J., Ashworth, J., Colquhoun, R., Connor, T. R., et al. (2021) · Science · doi:10.1126/science.abf2946 · Cited by 408 · see citing works

Effective public health measures to mitigate the spread of COVID-19: a systematic review

Ayouni, I., Maatoug, J., Dhouib, W., Zammit, N., Fredj, S. B., Ghammam, R., & Ghannem, H. (2021) · BMC Public Health · doi:10.1186/s12889-021-11111-1 · Cited by 418 · see citing works

The emergence, genomic diversity and global spread of SARS-CoV-2

Li, J., Lai, S., Gao, G. F., & Shi, W. (2021) · Nature · doi:10.1038/s41586-021-04188-6 · Cited by 408 · see citing works

Evidence based management guideline for the COVID-19 pandemic - Review article

Nicola, M., O’Neill, N., Sohrabi, C., Khan, M., Agha, M., & Agha, R. (2020) · International Journal of Surgery · doi:10.1016/j.ijsu.2020.04.001 · Cited by 412 · see citing works

Transmission heterogeneities, kinetics, and controllability of SARS-CoV-2

Sun, K., Wang, W., Gao, L., Wang, Y., Luo, K., Ren, L., Zhan, Z., Chen, X., Zhao, S., Huang, Y., et al. (2020) · Science · doi:10.1126/science.abe2424 · Cited by 404 · see citing works

The Impact of the COVID-19 Pandemic on Consumption: Learning from High-Frequency Transaction Data

Chen, H., Qian, W., & Wen, Q. (2021) · AEA Papers and Proceedings · doi:10.1257/pandp.20211003 · Cited by 410 · see citing works

Ground-level gaseous pollutants (NO 2 , SO 2 , and CO) in China: daily seamless mapping and spatiotemporal variations

Wei, J., Li, Z., Wang, J., Li, C., Gupta, P., & Cribb, M. C. (2023) · Atmospheric chemistry and physics · doi:10.5194/acp-23-1511-2023 · Cited by 393 · see citing works

Efficacy of China’s clean air actions to tackle PM2.5 pollution between 2013 and 2020

Geng, G., Liu, Y., Liu, Y., Liu, S., Cheng, J., Yan, L., Wu, N., Hu, H., Tong, D., Zheng, B., et al. (2024) · Nature Geoscience · doi:10.1038/s41561-024-01540-z · Cited by 416 · see citing works

Differential effects of intervention timing on COVID-19 spread in the United States

(2020) · doi:10.1126/sciadv.abd6370 · Cited by 366 · see citing works

Global quieting of high-frequency seismic noise due to COVID-19 pandemic lockdown measures

Lecocq, T., Hicks, S., Noten, K. V., van Wijk, K., Koelemeijer, P., Plaen, R. S. M. D., Massin, F., Hillers, G., Anthony, R. E., Apoloner, M.-T., et al. (2020) · Science · doi:10.1126/science.abd2438 · Cited by 365 · see citing works

COVID-19: breaking down a global health crisis

Mallah, S. I., Ghorab, O. K. H. A., Al-Salmi, S., Abdellatif, O. S., Tharmaratnam, T., Iskandar, M. M. A., Sefen, J. A. N., Sidhu, P., Atallah, B., El-Lababidi, R. M., et al. (2021) · Annals of Clinical Microbiology and Antimicrobials · doi:10.1186/s12941-021-00438-7 · Cited by 375 · see citing works

COVID-19 pandemic: Lessons learned and future directions

Khanna, R., Cicinelli, M. V., Gilbert, S. S., Honavar, S. G., & Murthy, G. S. (2020) · Indian Journal of Ophthalmology · doi:10.4103/ijo.ijo_843_20 · Cited by 364 · see citing works

Active case finding with case management: the key to tackling the COVID-19 pandemic

Li, Z., Chen, Q., Feng, L., Rodewald, L. E., Xia, Y., Yu, H., Zhang, R., An, Z., Yin, W., Chen, W., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31278-2 · Cited by 328 · see citing works

Serial interval of SARS-CoV-2 was shortened over time by nonpharmaceutical interventions

Ali, S. T., Wang, L., Lau, E. H. Y., Xu, X.-K., Du, Z., Wu, Y., Leung, G. M., & Cowling, B. J. (2020) · Science · doi:10.1126/science.abc9004 · Cited by 321 · see citing works

Mask-wearing and control of SARS-CoV-2 transmission in the USA: a cross-sectional study

Rader, B. M., White, L. F., Burns, M. R., Chen, J., Brilliant, J., Cohen, J., Shaman, J. L., Brilliant, L., Kraemer, M. U. G., Hawkins, J. B., et al. (2021) · The Lancet Digital Health · doi:10.1016/s2589-7500(20)30293-4 · Cited by 307 · see citing works

Effectiveness of non-pharmaceutical interventions on COVID-19 transmission in 190 countries from 23 January to 13 April 2020

Bo, Y., Guo, C., Lin, C., Zeng, Y., Li, H., Zhang, Y., Hossain, M. S., Chan, J. W. M., Yeung, D. W., Kwok, K. O., et al. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.10.066 · Cited by 287 · see citing works

Urban nature as a source of resilience during social distancing amidst the coronavirus pandemicPreprint

Samuelsson, K., Barthel, S., Colding, J., Macassa, G., & Giusti, M. (2020) · doi:10.31219/osf.io/3wx5a · Cited by 292 · see citing works

The Johns Hopkins University Center for Systems Science and Engineering COVID-19 Dashboard: data collection process, challenges faced, and lessons learned

Dong, E., Ratcliff, J. D., Goyea, T. D., Katz, A., Lau, R., Ng, T. K., Garcia, B., Bolt, E., Prata, S., Zhang, D., et al. (2022) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(22)00434-0 · Cited by 286 · see citing works

Satellite-based estimates of decline and rebound in China’s CO 2 emissions during COVID-19 pandemic

Zheng, B., Geng, G., Ciais, P., Davis, S. J., Martin, R. V., Meng, J., Wu, N., Chevallier, F., Broquet, G., Boersma, K. F., et al. (2020) · Science Advances · doi:10.1126/sciadv.abd4998 · Cited by 284 · see citing works

Strategic assessment of COVID-19 pandemic in Bangladesh: comparative lockdown scenario analysis, public perception, and management for sustainability

Shammi, M., Bodrud-Doza, M., Islam, A. R. M. T., & Rahman, M. M. (2020) · Environment Development and Sustainability · doi:10.1007/s10668-020-00867-y · Cited by 279 · see citing works

Integrating Digital Technologies and Public Health to Fight Covid-19 Pandemic: Key Technologies, Applications, Challenges and Outlook of Digital Healthcare

Wang, Q., Su, M., Zhang, M., & Li, R. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18116053 · Cited by 298 · see citing works

The Effect of Large-Scale Anti-Contagion Policies on the COVID-19 PandemicPreprint

Hsiang, S., Allen, D., Annan-Phan, S., Bell, K., Bolliger, I. W., Chong, T., Druckenmiller, H., Huang, L. Y., Hultgren, A., Krasovich, E., et al. (2020) · medRxiv · doi:10.1101/2020.03.22.20040642 · Cited by 275 · see citing works

Crowding and the shape of COVID-19 epidemics

Rader, B. M., Scarpino, S. V., Nande, A., Hill, A. L., Adlam, B., Reiner, R. C., Pigott, D. M., Gutiérrez, B., Zarebski, A. E., Shrestha, M., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-1104-0 · Cited by 303 · see citing works

COVID-19 open source data sets: a comprehensive survey

Shuja, J., Alanazi, E., Alasmary, W., & Alashaikh, A. S. (2020) · Applied Intelligence · doi:10.1007/s10489-020-01862-6 · Cited by 273 · see citing works

Multiscale dynamic human mobility flow dataset in the U.S. during the COVID-19 epidemic

Kang, Y., Gao, S., Liang, Y., Li, M., Rao, J., & Kruse, J. (2020) · Scientific Data · doi:10.1038/s41597-020-00734-5 · Cited by 255 · see citing works

Public Health Interventions for COVID-19

Hartley, D., & Perencevich, E. N. (2020) · JAMA · doi:10.1001/jama.2020.5910 · Cited by 258 · see citing works

Covid-19 mortality is negatively associated with test number and government effectiveness

Liang, L.-L., Tseng, C.-H., Ho, H. J., & Wu, C. (2020) · Scientific Reports · doi:10.1038/s41598-020-68862-x · Cited by 254 · see citing works

The impact of government measures and human mobility trend on COVID-19 related deaths in the UK

Hadjidemetriou, G. M., Sasidharan, M., Kouyialis, G., & Parlikad, A. K. (2020) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2020.100167 · Cited by 253 · see citing works

WHAT HAS THE COVID-19 PANDEMIC TAUGHT US ABOUT ADOPTING PREVENTIVE MEASURES?

de Oliveira, A. C., Lucas, T. C., & Iquiapaza, R. A. (2020) · Texto & Contexto - Enfermagem · doi:10.1590/1980-265x-tce-2020-0106 · Cited by 251 · see citing works

Risk of Coronavirus Disease 2019 Transmission in Train Passengers: an Epidemiological and Modeling Study

Hu, M., Lin, H., Wang, J., Xu, C., Tatem, A. J., Meng, B., Zhang, X., Liu, Y., Wang, P., Wu, G., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa1057 · Cited by 247 · see citing works

Genomic Epidemiology of SARS-CoV-2 in Guangdong Province, China

Lu, J., du Plessis, L., Liu, Z., Hill, V., Kang, M., Lin, H., Sun, J., François, S., Kraemer, M. U. G., Faria, N. R., et al. (2020) · Cell · doi:10.1016/j.cell.2020.04.023 · Cited by 247 · see citing works

Epidemiological and clinical features of 125 Hospitalized Patients with COVID-19 in Fuyang, Anhui, China

Wang, R., Pan, M., Zhang, X., Han, M., Fan, X., Zhao, F., Miao, M., Xu, J., Guan, M., Xia, D., et al. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.03.070 · Cited by 243 · see citing works

The end of social confinement and COVID-19 re-emergence risk

López, L., & Rodó, X. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0908-8 · Cited by 240 · see citing works

Using a real-world network to model localized COVID-19 control strategies

Firth, J. A., Hellewell, J., Klepac, P., Kissler, S. M., CMMID COVID-19 Working Group, Jit, M., Atkins, K. E., Clifford, S., Villabona‐Arenas, C. J., Meakin, S. R., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-1036-8 · Cited by 256 · see citing works

Spatial and temporal changes of the ozone sensitivity in China based on satellite and ground-based observations

Wang, W., Ronald van der, A., Ding, J., van Weele, M., & Cheng, T. (2021) · Atmospheric chemistry and physics · doi:10.5194/acp-21-7253-2021 · Cited by 245 · see citing works

Modelling COVID-19

Vespignani, A., Tian, H., Dye, C., Lloyd‐Smith, J. O., Eggo, R. M., Shrestha, M., Scarpino, S. V., Gutiérrez, B., Kraemer, M. U. G., Wu, J. T. K., et al. (2020) · Nature Reviews Physics · doi:10.1038/s42254-020-0178-4 · Cited by 225 · see citing works

Hospital wastewater as a source of environmental contamination: An overview of management practices, environmental risks, and treatment processes

Khan, M. T., Shah, I. A., Ihsanullah, I., Naushad, M., Ali, S., Shah, S. H. A., & Mohammad, A. W. (2021) · Journal of Water Process Engineering · doi:10.1016/j.jwpe.2021.101990 · Cited by 221 · see citing works

Extended SIR Prediction of the Epidemics Trend of COVID-19 in Italy and Compared With Hunan, China

Wangping, J., Han, K., Yang, S., Wenzhe, C., Shengshu, W., Shanshan, Y., Wang, J., Kou, F., Tai, P., Li, J., et al. (2020) · Frontiers in Medicine · doi:10.2139/ssrn.3556691 · Cited by 216 · see citing works

The Impact of COVID-19 Pandemic on the Resilience of Sustainable Mobility in Sicily

Campisi, T., Basbas, S., Skoufas, A., Akgün, N., Ticali, D., & Tesoriere, G. (2020) · Sustainability · doi:10.3390/su12218829 · Cited by 216 · see citing works

Management and Treatment of COVID-19: The Chinese Experience

Peng, F., Tu, L., Yang, Y., Hu, P., Wang, R., Hu, Q., Cao, F., Jiang, T., Sun, J., Xu, G., et al. (2020) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2020.04.010 · Cited by 219 · see citing works

Negative cognitive and psychological correlates of mandatory quarantine during the initial COVID-19 outbreak in China

Xin, M., Luo, S., She, R., Yu, Y., Li, L., Wang, S., Ma, L., Tao, F., Zhang, J., Zhao, J., et al. (2020) · American Psychologist · doi:10.1037/amp0000692 · Cited by 215 · see citing works

Distance learning during the COVID-19 pandemic: School closure in Indonesia

Azhari, B., & Fajri, I. (2021) · International Journal of Mathematical Education in Science and Technology · doi:10.1080/0020739x.2021.1875072 · Cited by 239 · see citing works

Discrimination and Social Exclusion in the Outbreak of COVID-19

He, J., He, L., Zhou, W., Nie, X., & He, M. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17082933 · Cited by 208 · see citing works

Association of Mobile Phone Location Data Indications of Travel and Stay-at-Home Mandates With COVID-19 Infection Rates in the US

Gao, S., Rao, J., Kang, Y., Liang, Y., Kruse, J., Döpfer, D., Sethi, A. K., Reyes, J. F. M., Yandell, B. S., & Patz, J. A. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.20485 · Cited by 203 · see citing works

Response of major air pollutants to COVID-19 lockdowns in China

Pei, Z., Han, G., Ma, X., Su, H., & Gong, W. Y. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.140879 · Cited by 201 · see citing works

NOx Emissions Reduction and Rebound in China Due to the COVID‐19 Crisis

Ding, J., Ronald van der, A., Eskes, H. J., Mijling, B., Stavrakou, T., van Geffen, J. H. G. M., & Veefkind, P. J. (2020) · Geophysical Research Letters · doi:10.1029/2020gl089912 · Cited by 205 · see citing works

Assessing the Impact of Reduced Travel on Exportation Dynamics of Novel Coronavirus Infection (COVID-19)

Anzai, A., Kobayashi, T., Linton, N. M., Kinoshita, R., Hayashi, K., Suzuki, A., Yang, Y., Jung, S.-M., Miyama, T., Akhmetzhanov, A. R., et al. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9020601 · Cited by 200 · see citing works

COVID-19 and SARS-CoV-2. Modeling the present, looking at the future

Estrada, E. (2020) · Physics Reports · doi:10.1016/j.physrep.2020.07.005 · Cited by 193 · see citing works

Significant impacts of COVID-19 lockdown on urban air pollution in Kolkata (India) and amelioration of environmental health

Bera, B., Bhattacharjee, S., Shit, P. K., Sengupta, N., & Saha, S. (2020) · Environment Development and Sustainability · doi:10.1007/s10668-020-00898-5 · Cited by 195 · see citing works

Human mobility trends during the early stage of the COVID-19 pandemic in the United States

Lee, M., Zhao, J. F., Sun, Q., Pan, Y., Zhou, W., Xiong, C., & Zhang, L. (2020) · PLoS ONE · doi:10.1371/journal.pone.0241468 · Cited by 190 · see citing works

On airborne transmission and control of SARS-Cov-2

Yao, M., Zhang, L., Ma, J., & Zhou, L. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.139178 · Cited by 191 · see citing works

Four-Month Changes in Air Quality during and after the COVID-19 Lockdown in Six Megacities in China

Wang, Y., Wen, Y., Wang, Y., Zhang, S., Zhang, K. M., Zheng, H., Xing, J., Wu, Y., & Hao, J. (2020) · Environmental Science & Technology Letters · doi:10.1021/acs.estlett.0c00605 · Cited by 191 · see citing works

COVID-19 Outbreak in Colombia: An Analysis of Its Impacts on Transport Systems

Arellana, J., Márquez, L., & Cantillo, V. (2020) · Journal of Advanced Transportation · doi:10.1155/2020/8867316 · Cited by 190 · see citing works

Estimation of the basic reproduction number, average incubation time, asymptomatic infection rate, and case fatality rate for COVID‐19: Meta‐analysis and sensitivity analysis

He, W., Yi, G. Y., & Zhu, Y. (2020) · Journal of Medical Virology · doi:10.1002/jmv.26041 · Cited by 187 · see citing works

An online survey of the attitude and willingness of Chinese adults to receive COVID-19 vaccination

Chen, M., Li, Y., Chen, J., Wen, Z., Feng, F., Zou, H., Fu, C., Chen, L., Shu, Y., & Sun, C. (2021) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2020.1853449 · Cited by 188 · see citing works

Progression of COVID‐19 From Urban to Rural Areas in the United States: A Spatiotemporal Analysis of Prevalence Rates

Paul, R., Arif, A. A., Adeyemi, O. J., Ghosh, S., & Han, D. (2020) · The Journal of Rural Health · doi:10.1111/jrh.12486 · Cited by 187 · see citing works

Urban Remote Sensing with Spatial Big Data: A Review and Renewed Perspective of Urban Studies in Recent Decades

Yu, D., & Fang, C. (2023) · Remote Sensing · doi:10.3390/rs15051307 · Cited by 187 · see citing works

Physical activity during COVID-19 induced lockdown: recommendations

Füzéki, E., Groneberg, D. A., & Banzer, W. E. (2020) · Journal of Occupational Medicine and Toxicology · doi:10.1186/s12995-020-00278-9 · Cited by 183 · see citing works

Impact of coronavirus (COVID-19) spread-prevention actions on urban water consumption

Kalbusch, A., Henning, E., Brikalski, M. P., de Luca, F. V., & Konrath, A. C. (2020) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2020.105098 · Cited by 180 · see citing works

Impacts of social distancing policies on mobility and COVID-19 case growth in the US

Wellenius, G. A., Vispute, S., Espinosa, V., Fabrikant, A., Tsai, T. C., Hennessy, J., Dai, A., Williams, B., Gadepalli, K., Boulanger, A., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23404-5 · Cited by 205 · see citing works

The impact of the COVID-19 pandemic on health services utilization in China: Time-series analyses for 2016–2020

Xiao, H., Dai, X., Wagenaar, B. H., Liu, F., Augusto, O. J., Guo, Y. J., & Unger, J. M. (2021) · The Lancet Regional Health - Western Pacific · doi:10.1016/j.lanwpc.2021.100122 · Cited by 188 · see citing works

Predicting turning point, duration and attack rate of COVID-19 outbreaks in major Western countries

Zhang, X., Ma, R., & Wang, L. (2020) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2020.109829 · Cited by 176 · see citing works

Immediate and delayed psychological effects of province-wide lockdown and personal quarantine during the COVID-19 outbreak in China

Gan, Y., Ma, J., Wu, J., Chen, Y., Zhu, H., & Hall, B. J. (2020) · Psychological Medicine · doi:10.1017/s0033291720003116 · Cited by 174 · see citing works

Escaping to nature during a pandemic: A natural experiment in Asian cities during the COVID-19 pandemic with big social media data

Lü, Y., Zhao, J., Wu, X., & Lo, S. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.146092 · Cited by 181 · see citing works

The impact of transmission control measures during the first 50 days of the COVID-19 epidemic in China

Tian, H., Liu, Y., Li, Y., Wu, C.-H., Чэн, Б., Kraemer, M. U. G., Li, B., Cai, J., Xu, B., Yang, Q., et al. (2020) · Greater South Information System · doi:10.60692/fs0tv-9zs31

The most effective interventions

Ash, C. (2020) · Science · doi:10.1126/science.368.6491.616-g

Modelling the effects of Wuhan’s lockdown during COVID-19, China

Yuan, Z., Xiao, Y., Dai, Z., Huang, J., Zhang, Z., & Chen, Y. (2020) · Bulletin of the World Health Organization · doi:10.2471/blt.20.254045 · Cited by 109 · see citing works

Summary of the COVID-19 epidemic and estimating the effects of emergency responses in China

Tao, J., Ma, Y., Luo, C., Huang, J., Zhang, T., & Yin, F. (2021) · Scientific Reports · doi:10.1038/s41598-020-80201-8 · Cited by 23 · see citing works

Using traveller-derived cases in Henan Province to quantify the spread of COVID-19 in Wuhan, China

Song, H., Li, F., Jia, Z., Jin, Z., & Liu, S. (2020) · Nonlinear Dynamics · doi:10.1007/s11071-020-05859-1 · Cited by 19 · see citing works