Search
| Leader | 00000nz a2200037n 45 0 | ||
|---|---|---|---|
| 001 | WKP|Q96347749 (VIAF cluster) (Authority/Source Record) | ||
| 003 | WKP | ||
| 005 | 20241221010742.0 | ||
| 008 | 241221nneanz||abbn n and d | ||
| 035 | ‡a (WKP)Q96347749 | ||
| 024 | ‡a 0000-0001-8556-0389 ‡2 orcid | ||
| 035 | ‡a (OCoLC)Q96347749 | ||
| 100 | 0 | ‡a Will Green ‡c researcher ‡9 en | |
| 400 | 0 | ‡a Will Green ‡c wetenschapper ‡9 nl | |
| 670 | ‡a Author's A database for the epidemic trends and control measures during the first wave of COVID-19 in mainland China | ||
| 670 | ‡a Author's A sub-national analysis of the rate of transmission of COVID-19 in Italy | ||
| 670 | ‡a Author's Anonymised and aggregated crowd level mobility data from mobile phones suggests that initial compliance with COVID-19 social distancing interventions was high and geographically consistent across the UK | ||
| 670 | ‡a Author's Estimates of the severity of coronavirus disease 2019: a model-based analysis | ||
| 670 | ‡a Author's Estimates of the severity of COVID-19 disease | ||
| 670 | ‡a Author's Evidence of initial success for China exiting COVID-19 social distancing policy after achieving containment | ||
| 670 | ‡a Author's Inferring the reproduction number using the renewal equation in heterogeneous epidemics | ||
| 670 | ‡a Author's Potential impact of the COVID-19 pandemic on HIV, tuberculosis, and malaria in low-income and middle-income countries: a modelling study | ||
| 670 | ‡a Author's Reduction in mobility and COVID-19 transmission | ||
| 670 | ‡a Author's Report 21: Estimating COVID-19 cases and reproduction number in Brazil | ||
| 670 | ‡a Author's Response to COVID-19 in South Korea and implications for lifting stringent interventions | ||
| 670 | ‡a Author's SARS-CoV-2 infection prevalence on repatriation flights from Wuhan City, China | ||
| 670 | ‡a Author's State-level tracking of COVID-19 in the United States | ||
| 670 | ‡a Author's The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries | ||
| 909 | ‡a (orcid) 0000000185560389 ‡9 1 | ||
| 912 | ‡a stateleveltrackingofcovid19intheunitedstates ‡A State-level tracking of COVID-19 in the United States ‡9 1 | ||
| 912 | ‡a report21estimatingcovid19casesandreproductionnumberinbrazil ‡A Report 21: Estimating COVID-19 cases and reproduction number in Brazil ‡9 1 | ||
| 912 | ‡a subnationalanalysisoftherateoftransmissionofcovid19initaly ‡A A sub-national analysis of the rate of transmission of COVID-19 in Italy ‡9 1 | ||
| 919 | ‡a impactofcovid19andstrategiesformitigationandsuppressioninlowandmiddleincomecountries ‡A The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries ‡9 1 | ||
| 919 | ‡a sarscov2infectionprevalenceonrepatriationflightsfromwuhancitychina ‡A SARS-CoV-2 infection prevalence on repatriation flights from Wuhan City, China ‡9 1 | ||
| 919 | ‡a estimatesoftheseverityofcoronavirusdisease2019amodelbasedanalysis ‡A Estimates of the severity of coronavirus disease 2019: a model-based analysis ‡9 1 | ||
| 919 | ‡a estimatesoftheseverityofcovid19disease ‡A Estimates of the severity of COVID-19 disease ‡9 1 | ||
| 919 | ‡a evidenceofinitialsuccessforchinaexitingcovid19socialdistancingpolicyafterachievingcontainment ‡A Evidence of initial success for China exiting COVID-19 social distancing policy after achieving containment ‡9 1 | ||
| 919 | ‡a inferringthereproductionnumberusingtherenewalequationinheterogeneousepidemics ‡A Inferring the reproduction number using the renewal equation in heterogeneous epidemics ‡9 1 | ||
| 919 | ‡a potentialimpactofthecovid19pandemiconhivtuberculosisandmalariainlowincomeandmiddleincomecountriesamodellingstudy ‡A Potential impact of the COVID-19 pandemic on HIV, tuberculosis, and malaria in low-income and middle-income countries: a modelling study ‡9 1 | ||
| 919 | ‡a reductioninmobilityandcovid19transmission ‡A Reduction in mobility and COVID-19 transmission ‡9 1 | ||
| 919 | ‡a responsetocovid19insouthkoreaandimplicationsforliftingstringentinterventions ‡A Response to COVID-19 in South Korea and implications for lifting stringent interventions ‡9 1 | ||
| 919 | ‡a databasefortheepidemictrendsandcontrolmeasuresduringthe1waveofcovid19inmainlandchina ‡A A database for the epidemic trends and control measures during the first wave of COVID-19 in mainland China ‡9 1 | ||
| 919 | ‡a anonymisedandaggregatedcrowdlevelmobilitydatafrommobilephonessuggeststhatinitialcompliancewithcovid19socialdistancinginterventionswashighandgeographicallyconsistentacrosstheuk ‡A Anonymised and aggregated crowd level mobility data from mobile phones suggests that initial compliance with COVID-19 social distancing interventions was high and geographically consistent across the UK ‡9 1 | ||
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| 996 | ‡2 LC|nb2017024264 | ||
| 996 | ‡2 LIH|LNB:Y_i_O;=B_n_ | ||
| 996 | ‡2 LC|n 2021024264 | ||
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| 996 | ‡2 ISNI|0000000497810383 | ||
| 996 | ‡2 NTA|073226297 | ||
| 996 | ‡2 LC|n 87937638 | ||
| 996 | ‡2 ISNI|000000003886282X | ||
| 996 | ‡2 DBC|87097990853031 | ||
| 996 | ‡2 NLA|000059960037 | ||
| 996 | ‡2 ISNI|0000000026158843 | ||
| 996 | ‡2 ISNI|0000000031789068 | ||
| 996 | ‡2 CAOONL|ncf11670896 | ||
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| 996 | ‡2 LIH|LNB:BX_x_Y;=CB | ||
| 996 | ‡2 ISNI|0000000101922355 | ||
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| 996 | ‡2 LC|no2012152272 | ||
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| 996 | ‡2 ISNI|0000000052543112 | ||
| 996 | ‡2 LC|n 87862079 | ||
| 996 | ‡2 ISNI|0000000109052016 | ||
| 996 | ‡2 LC|nr2004028472 | ||
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| 996 | ‡2 ISNI|0000000029848372 | ||
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| 997 | ‡a 0 0 lived 0 0 ‡9 1 |
