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Moritz U G Kraemer

Biographic Data

ID1751896
NAMEMoritz U G Kraemer
GIVEN NAMESMoritz U G
FAMILY NAMEKraemer
SIGNATUREKRAEMER M U G
AFFILIATIONSUniversity of Oxford
ORCID0000-0001-8838-7147
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS17
AUTHOR COUNT9
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX2
  • Improving mobility data for infectious disease research

    Open Access•Natalya Kostandova, Ronan Corgel et al.•ARTICLE•Nature Human Behaviour•2025•References: 10

  • Impacts of climate change-related human migration on infectious diseases

    Open Access•Joseph L-H Tsui, Rosario Evans Pena et al.•ARTICLE•Nature Climate Change•2024

  • Preparedness and vulnerability of African countries against importations of Covid-19

    Open Access•Marius Gilbert, Giulia Pullano et al.•ARTICLE•The Lancet•2020

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

    Open Access•Huaiyu Tian, Yonghong Liu et al.•ARTICLE•Science•2020

    The most effective interventions By 23 January 2020, China had imposed a national emergency response to restrict travel and impose social distancing measures on its populace in an attempt to inhibit the transmission of severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2). However, which measures were most effective is uncertain. Tian et al. performed a quantitative analysis of the impact of control measures between 31 December 2019 and 19…

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

    Open Access•Moritz U G Kraemer, Chia-Hung Yang et al.•ARTICLE•Science•2020

    Tracing infection from mobility data What sort of measures are required to contain the spread of severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19)? The rich data from the Open COVID-19 Data Working Group include the dates when people first reported symptoms, not just a positive test date. Using these data and real-time travel data from the internet services company Baidu, Kraemer et al.…

  • Aggregated mobility data could help fight Covid-19

    Open Access•Caroline O Buckee, Satchit Balsari et al.•ARTICLE•Science•2020

    Introduction to the article: As the coronavirus disease 2019 (COVID-19) epidemic worsens, understanding the effectiveness of public messaging and large-scale social distancing interventions is critical. The research and public health response communities can and should use population mobility data collected by private companies, with appropriate legal, organizational, and computational safeguards in place. When aggregated, these data can help ref…

  • Global burden of 87 risk factors in 204 countries and territories, 1990–2019

    Open Access•Christopher J L Murray, Aleksandr Y Aravkin et al.•ARTICLE•The Lancet•2020

    BACKGROUND: Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attribu…

  • Mapping global variation in human mobility

    Open Access•Moritz U G Kraemer, Beth Ford et al.•ARTICLE•Nature Human Behaviour•2020•Cited by: 7•References: 60

    The geographic variation of human movement is largely unknown, mainly due to a lack of accurate and scalable data. Here we describe global human mobility patterns, aggregated from over 300 million smartphone users. The data cover nearly all countries and 65% of Earth's populated surface, including cross-border movements and international migration. This scale and coverage enable us to develop a globally comprehensive human movement typology. We q…

  • Epidemiological and clinical characteristics of the Covid-19 epidemic in Brazil

    Open Access•William Marciel De Souza, Lewis Fletcher Bu et al.•ARTICLE•Nature Human Behaviour•2020•Cited by: 10•References: 42

  • Epidemiological and clinical characteristics of the Covid-19 epidemic in Brazil

    Open Access•William Marciel De Souza, Lewis Fletcher Bu et al.•ARTICLE•Nature Human Behaviour•2020•Cited by: 10•References: 42

  • Mapping global variation in human mobility

    Open Access•Moritz U G Kraemer, Beth Ford et al.•ARTICLE•Nature Human Behaviour•2020•Cited by: 7•References: 60

    The geographic variation of human movement is largely unknown, mainly due to a lack of accurate and scalable data. Here we describe global human mobility patterns, aggregated from over 300 million smartphone users. The data cover nearly all countries and 65% of Earth's populated surface, including cross-border movements and international migration. This scale and coverage enable us to develop a globally comprehensive human movement typology. We q…

  • Preparedness and vulnerability of African countries against importations of Covid-19

    Open Access•Marius Gilbert, Giulia Pullano et al.•ARTICLE•The Lancet•2020

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

    Open Access•Huaiyu Tian, Yonghong Liu et al.•ARTICLE•Science•2020

    The most effective interventions By 23 January 2020, China had imposed a national emergency response to restrict travel and impose social distancing measures on its populace in an attempt to inhibit the transmission of severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2). However, which measures were most effective is uncertain. Tian et al. performed a quantitative analysis of the impact of control measures between 31 December 2019 and 19…

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

    Open Access•Moritz U G Kraemer, Chia-Hung Yang et al.•ARTICLE•Science•2020

    Tracing infection from mobility data What sort of measures are required to contain the spread of severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19)? The rich data from the Open COVID-19 Data Working Group include the dates when people first reported symptoms, not just a positive test date. Using these data and real-time travel data from the internet services company Baidu, Kraemer et al.…

  • Aggregated mobility data could help fight Covid-19

    Open Access•Caroline O Buckee, Satchit Balsari et al.•ARTICLE•Science•2020

    Introduction to the article: As the coronavirus disease 2019 (COVID-19) epidemic worsens, understanding the effectiveness of public messaging and large-scale social distancing interventions is critical. The research and public health response communities can and should use population mobility data collected by private companies, with appropriate legal, organizational, and computational safeguards in place. When aggregated, these data can help ref…

  • Global burden of 87 risk factors in 204 countries and territories, 1990–2019

    Open Access•Christopher J L Murray, Aleksandr Y Aravkin et al.•ARTICLE•The Lancet•2020

    BACKGROUND: Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attribu…

  • Mapping global variation in human mobility

    Open Access•Moritz U G Kraemer, Beth Ford et al.•ARTICLE•Nature Human Behaviour•2020•Cited by: 7•References: 60

    The geographic variation of human movement is largely unknown, mainly due to a lack of accurate and scalable data. Here we describe global human mobility patterns, aggregated from over 300 million smartphone users. The data cover nearly all countries and 65% of Earth's populated surface, including cross-border movements and international migration. This scale and coverage enable us to develop a globally comprehensive human movement typology. We q…

  • Epidemiological and clinical characteristics of the Covid-19 epidemic in Brazil

    Open Access•William Marciel De Souza, Lewis Fletcher Bu et al.•ARTICLE•Nature Human Behaviour•2020•Cited by: 10•References: 42

  • Impacts of climate change-related human migration on infectious diseases

    Open Access•Joseph L-H Tsui, Rosario Evans Pena et al.•ARTICLE•Nature Climate Change•2024

  • Improving mobility data for infectious disease research

    Open Access•Natalya Kostandova, Ronan Corgel et al.•ARTICLE•Nature Human Behaviour•2025•References: 10

Medicine (9 works) · Disease (7 works) · Environmental health (6 works) · COVID-19 epidemiological studies (5 works) · Coronavirus disease 2019 (COVID-19) (4 works) · Demography (4 works) · Geography (4 works) · Virology (4 works) · Business (3 works) · China (3 works)

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