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  1. Article ; Online: Investigating the monkeypox outbreak.

    Dye, Christopher / Kraemer, Moritz U G

    BMJ (Clinical research ed.)

    2022  Volume 377, Page(s) o1314

    MeSH term(s) Disease Outbreaks/prevention & control ; Humans ; Mpox (monkeypox)/epidemiology
    Language English
    Publishing date 2022-05-26
    Publishing country England
    Document type Editorial
    ZDB-ID 1362901-3
    ISSN 1756-1833 ; 0959-8154 ; 0959-8146 ; 0959-8138 ; 0959-535X ; 1759-2151
    ISSN (online) 1756-1833
    ISSN 0959-8154 ; 0959-8146 ; 0959-8138 ; 0959-535X ; 1759-2151
    DOI 10.1136/bmj.o1314
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Sharing, synthesis and sustainability of data analysis for epidemic preparedness in Europe.

    Kucharski, Adam J / Hodcroft, Emma B / Kraemer, Moritz U G

    The Lancet regional health. Europe

    2021  Volume 9, Page(s) 100215

    Language English
    Publishing date 2021-10-07
    Publishing country England
    Document type Journal Article ; Review
    ISSN 2666-7762
    ISSN (online) 2666-7762
    DOI 10.1016/j.lanepe.2021.100215
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Open access epidemiological data from the COVID-19 outbreak.

    Xu, Bo / Kraemer, Moritz U G

    The Lancet. Infectious diseases

    2020  Volume 20, Issue 5, Page(s) 534

    MeSH term(s) Betacoronavirus ; COVID-19 ; Coronavirus Infections/epidemiology ; Coronavirus Infections/transmission ; Databases, Factual ; Disease Outbreaks ; Humans ; Pandemics ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/transmission ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-02-19
    Publishing country United States
    Document type Letter ; Research Support, Non-U.S. Gov't
    ZDB-ID 2061641-7
    ISSN 1474-4457 ; 1473-3099
    ISSN (online) 1474-4457
    ISSN 1473-3099
    DOI 10.1016/S1473-3099(20)30119-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Drivers and impact of the early silent invasion of SARS-CoV-2 Alpha.

    Faucher, Benjamin / Sabbatini, Chiara E / Czuppon, Peter / Kraemer, Moritz U G / Lemey, Philippe / Colizza, Vittoria / Blanquart, François / Boëlle, Pierre-Yves / Poletto, Chiara

    Nature communications

    2024  Volume 15, Issue 1, Page(s) 2152

    Abstract: SARS-CoV-2 variants of concern (VOCs) circulated cryptically before being identified as a threat, delaying interventions. Here we studied the drivers of such silent spread and its epidemic impact to inform future response planning. We focused on Alpha ... ...

    Abstract SARS-CoV-2 variants of concern (VOCs) circulated cryptically before being identified as a threat, delaying interventions. Here we studied the drivers of such silent spread and its epidemic impact to inform future response planning. We focused on Alpha spread out of the UK. We integrated spatio-temporal records of international mobility, local epidemic growth and genomic surveillance into a Bayesian framework to reconstruct the first three months after Alpha emergence. We found that silent circulation lasted from days to months and decreased with the logarithm of sequencing coverage. Social restrictions in some countries likely delayed the establishment of local transmission, mitigating the negative consequences of late detection. Revisiting the initial spread of Alpha supports local mitigation at the destination in case of emerging events.
    MeSH term(s) Humans ; Bayes Theorem ; COVID-19/epidemiology ; SARS-CoV-2/genetics ; Epidemics
    Language English
    Publishing date 2024-03-09
    Publishing country England
    Document type Journal Article
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-024-46345-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Publisher Correction: Monitoring key epidemiological parameters of SARS-CoV-2 transmission.

    Kraemer, Moritz U G / Pybus, Oliver G / Fraser, Christophe / Cauchemez, Simon / Rambaut, Andrew / Cowling, Benjamin J

    Nature medicine

    2022  Volume 28, Issue 1, Page(s) 213

    Language English
    Publishing date 2022-01-12
    Publishing country United States
    Document type Published Erratum
    ZDB-ID 1220066-9
    ISSN 1546-170X ; 1078-8956
    ISSN (online) 1546-170X
    ISSN 1078-8956
    DOI 10.1038/s41591-021-01670-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Gaps in mobility data and implications for modelling epidemic spread: A scoping review and simulation study.

    Wardle, Jack / Bhatia, Sangeeta / Kraemer, Moritz U G / Nouvellet, Pierre / Cori, Anne

    Epidemics

    2023  Volume 42, Page(s) 100666

    Abstract: Reliable estimates of human mobility are important for understanding the spatial spread of infectious diseases and the effective targeting of control measures. However, when modelling infectious disease dynamics, data on human mobility at an appropriate ... ...

    Abstract Reliable estimates of human mobility are important for understanding the spatial spread of infectious diseases and the effective targeting of control measures. However, when modelling infectious disease dynamics, data on human mobility at an appropriate temporal or spatial resolution are not always available, leading to the common use of model-derived mobility proxies. In this study we reviewed the different data sources and mobility models that have been used to characterise human movement in Africa. We then conducted a simulation study to better understand the implications of using human mobility proxies when predicting the spatial spread and dynamics of infectious diseases. We found major gaps in the availability of empirical measures of human mobility in Africa, leading to mobility proxies being used in place of data. Empirical data on subnational mobility were only available for 17/54 countries, and in most instances, these data characterised long-term movement patterns, which were unsuitable for modelling the spread of pathogens with short generation times (time between infection of a case and their infector). Results from our simulation study demonstrated that using mobility proxies can have a substantial impact on the predicted epidemic dynamics, with complex and non-intuitive biases. In particular, the predicted times and order of epidemic invasion, and the time of epidemic peak in different locations can be underestimated or overestimated, depending on the types of proxies used and the country of interest. Our work underscores the need for regularly updated empirical measures of population movement within and between countries to aid the prevention and control of infectious disease outbreaks. At the same time, there is a need to establish an evidence base to help understand which types of mobility data are most appropriate for describing the spread of emerging infectious diseases in different settings.
    MeSH term(s) Humans ; Epidemics ; Computer Simulation ; Disease Outbreaks ; Africa ; Communicable Diseases/epidemiology
    Language English
    Publishing date 2023-01-12
    Publishing country Netherlands
    Document type Review ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2467993-8
    ISSN 1878-0067 ; 1755-4365
    ISSN (online) 1878-0067
    ISSN 1755-4365
    DOI 10.1016/j.epidem.2023.100666
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Sharing patient-level real-time COVID-19 data.

    Komorowski, Matthieu / Kraemer, Moritz U G / Brownstein, John S

    The Lancet. Digital health

    2020  Volume 2, Issue 7, Page(s) e345

    MeSH term(s) COVID-19 ; Humans ; Information Dissemination ; Pandemics ; SARS-CoV-2 ; Time
    Keywords covid19
    Language English
    Publishing date 2020-05-28
    Publishing country England
    Document type Letter ; Comment
    ISSN 2589-7500
    ISSN (online) 2589-7500
    DOI 10.1016/S2589-7500(20)30132-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Monitoring key epidemiological parameters of SARS-CoV-2 transmission.

    Kraemer, Moritz U G / Pybus, Oliver G / Fraser, Christophe / Cauchemez, Simon / Rambaut, Andrew / Cowling, Benjamin J

    Nature medicine

    2021  Volume 27, Issue 11, Page(s) 1854–1855

    MeSH term(s) COVID-19/epidemiology ; COVID-19/transmission ; Contact Tracing/methods ; Databases as Topic ; Humans ; Infection Control/methods ; Pandemics/prevention & control ; Population Surveillance/methods ; Risk Factors ; SARS-CoV-2/pathogenicity ; SARS-CoV-2/physiology ; Time Factors ; Virulence ; Virus Replication
    Language English
    Publishing date 2021-11-02
    Publishing country United States
    Document type Letter
    ZDB-ID 1220066-9
    ISSN 1546-170X ; 1078-8956
    ISSN (online) 1546-170X
    ISSN 1078-8956
    DOI 10.1038/s41591-021-01545-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Shifts in global mobility dictate the synchrony of SARS-CoV-2 epidemic waves.

    Tegally, Houriiyah / Khan, Kamran / Huber, Carmen / de Oliveira, Tulio / Kraemer, Moritz U G

    Journal of travel medicine

    2022  Volume 29, Issue 8

    Abstract: Background: Human mobility changed in unprecedented ways during the SARS-CoV-2 pandemic. In March and April 2020, when lockdowns and large travel restrictions began in most countries, global air-travel almost entirely halted (92% decrease in commercial ... ...

    Abstract Background: Human mobility changed in unprecedented ways during the SARS-CoV-2 pandemic. In March and April 2020, when lockdowns and large travel restrictions began in most countries, global air-travel almost entirely halted (92% decrease in commercial global air travel in the months between February and April 2020). Initial recovery in global air travel started around July 2020 and subsequently nearly tripled between May and July 2021. Here, we aim to establish a preliminary link between global mobility patterns and the synchrony of SARS-CoV-2 epidemic waves across the world.
    Methods: We compare epidemic peaks and human global mobility in two time periods: November 2020 to February 2021 (when just over 70 million passengers travelled) and November 2021 to February 2022 (when more than 200 million passengers travelled). We calculate the time interval during which continental epidemic peaks occurred for both of these time periods, and we calculate the pairwise correlations of epidemic waves between all pairs of countries for the same time periods.
    Results: We find that as air travel increases at the end of 2021, epidemic peaks around the world are more synchronous with one another, both globally and regionally. Continental epidemic peaks occur globally within a 20 day interval at the end of 2021 compared with 73 days at the end of 2020, and epidemic waves globally are more correlated with one another at the end of 2021.
    Conclusions: This suggests that the rebound in human mobility dictates the synchrony of global and regional epidemic waves. In line with theoretical work, we show that in a more connected world, epidemic dynamics are more synchronized.
    MeSH term(s) Humans ; SARS-CoV-2 ; COVID-19/epidemiology ; Communicable Disease Control ; Travel ; Pandemics ; Air Travel
    Language English
    Publishing date 2022-11-11
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1212504-0
    ISSN 1708-8305 ; 1195-1982
    ISSN (online) 1708-8305
    ISSN 1195-1982
    DOI 10.1093/jtm/taac134
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