Moritz U G Kraemer
Dados Biográficos
| ID | 1751896 |
|---|---|
| NOME | Moritz U G Kraemer |
| PRENOMES | Moritz U G |
| SOBRENOME | Kraemer |
| ASSINATURA | KRAEMER M U G |
| AFILIAÇÕES | University of Oxford |
| ORCID | 0000-0001-8838-7147 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 9 |
| TOTAL DE CITAÇÕES | 17 |
| TOTAL COMO AUTOR | 9 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2020 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 2 |
Improving mobility data for infectious disease research
Impacts of climate change-related human migration on infectious diseases
Preparedness and vulnerability of African countries against importations of Covid-19
An investigation of transmission control measures during the first 50 days of the Covid-19 epidemic in China
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
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
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
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
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
Epidemiological and clinical characteristics of the Covid-19 epidemic in Brazil
Mapping global variation in human mobility
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
An investigation of transmission control measures during the first 50 days of the Covid-19 epidemic in China
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
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
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
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
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
Impacts of climate change-related human migration on infectious diseases
Improving mobility data for infectious disease research
Medicine (9 obras) · Disease (7 obras) · Environmental health (6 obras) · COVID-19 epidemiological studies (5 obras) · Coronavirus disease 2019 (COVID-19) (4 obras) · Demography (4 obras) · Geography (4 obras) · Virology (4 obras) · Business (3 obras) · China (3 obras)