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Article ; Online: Optimal vaccine allocation for COVID-19 in the Netherlands

Fuminari Miura / Ka Yin Leung / Don Klinkenberg / Kylie E C Ainslie / Jacco Wallinga

PLoS Computational Biology, Vol 17, Iss 12, p e

A data-driven prioritization.

2021 Volume 1009697

Abstract: For the control of COVID-19, vaccination programmes provide a long-term solution. The amount of available vaccines is often limited, and thus it is crucial to determine the allocation strategy. While mathematical modelling approaches have been used to ... ...

Abstract	For the control of COVID-19, vaccination programmes provide a long-term solution. The amount of available vaccines is often limited, and thus it is crucial to determine the allocation strategy. While mathematical modelling approaches have been used to find an optimal distribution of vaccines, there is an excessively large number of possible allocation schemes to be simulated. Here, we propose an algorithm to find a near-optimal allocation scheme given an intervention objective such as minimization of new infections, hospitalizations, or deaths, where multiple vaccines are available. The proposed principle for allocating vaccines is to target subgroups with the largest reduction in the outcome of interest. We use an approximation method to reconstruct the age-specific transmission intensity (the next generation matrix), and express the expected impact of vaccinating each subgroup in terms of the observed incidence of infection and force of infection. The proposed approach is firstly evaluated with a simulated epidemic and then applied to the epidemiological data on COVID-19 in the Netherlands. Our results reveal how the optimal allocation depends on the objective of infection control. In the case of COVID-19, if we wish to minimize deaths, the optimal allocation strategy is not efficient for minimizing other outcomes, such as infections. In simulated epidemics, an allocation strategy optimized for an outcome outperforms other strategies such as the allocation from young to old, from old to young, and at random. Our simulations clarify that the current policy in the Netherlands (i.e., allocation from old to young) was concordant with the allocation scheme that minimizes deaths. The proposed method provides an optimal allocation scheme, given routine surveillance data that reflect ongoing transmissions. This approach to allocation is useful for providing plausible simulation scenarios for complex models, which give a more robust basis to determine intervention strategies.
Keywords	Biology (General) ; QH301-705.5
Subject code	510
Language	English
Publishing date	2021-12-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: SARS-CoV-2 antibody prevalence in England following the first peak of the pandemic

Helen Ward / Christina Atchison / Matthew Whitaker / Kylie E. C. Ainslie / Joshua Elliott / Lucy Okell / Rozlyn Redd / Deborah Ashby / Christl A. Donnelly / Wendy Barclay / Ara Darzi / Graham Cooke / Steven Riley / Paul Elliott

Nature Communications, Vol 12, Iss 1, Pp 1-

2021 Volume 8

Abstract: REACT-2 is a large-scale community study of SARS-CoV-2 seroprevalence in England. Here, the authors estimate that 6% of adults in England had been infected by mid-July 2020, with health and long-term care workers and those of Black or South Asian ... ...

Abstract	REACT-2 is a large-scale community study of SARS-CoV-2 seroprevalence in England. Here, the authors estimate that 6% of adults in England had been infected by mid-July 2020, with health and long-term care workers and those of Black or South Asian ethnicity disproportionately affected.
Keywords	Science ; Q
Language	English
Publishing date	2021-02-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: An open source tool to infer epidemiological and immunological dynamics from serological data

James A Hay / Amanda Minter / Kylie E C Ainslie / Justin Lessler / Bingyi Yang / Derek A T Cummings / Adam J Kucharski / Steven Riley

PLoS Computational Biology, Vol 16, Iss 5, p e

serosolver.

2020 Volume 1007840

Abstract: We present a flexible, open source R package designed to obtain biological and epidemiological insights from serological datasets. Characterising past exposures for multi-strain pathogens poses a specific statistical challenge: observed antibody ... ...

Abstract	We present a flexible, open source R package designed to obtain biological and epidemiological insights from serological datasets. Characterising past exposures for multi-strain pathogens poses a specific statistical challenge: observed antibody responses measured in serological assays depend on multiple unobserved prior infections that produce cross-reactive antibody responses. We provide a general modelling framework to jointly infer infection histories and describe immune responses generated by these infections using antibody titres against current and historical strains. We do this by linking latent infection dynamics with a mechanistic model of antibody kinetics that generates expected antibody titres over time. Our aim is to provide a flexible package to identify infection histories that can be applied to a range of pathogens. We present two case studies to illustrate how our model can infer key immunological parameters, such as antibody titre boosting, waning and cross-reaction, as well as latent epidemiological processes such as attack rates and age-stratified infection risk.
Keywords	Biology (General) ; QH301-705.5
Language	English
Publishing date	2020-05-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: 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 [version 1; peer review

Benjamin Jeffrey / Caroline E. Walters / Kylie E. C. Ainslie / Oliver Eales / Constanze Ciavarella / Sangeeta Bhatia / Sarah Hayes / Marc Baguelin / Adhiratha Boonyasiri / Nicholas F. Brazeau / Gina Cuomo-Dannenburg / Richard G. FitzJohn / Katy Gaythorpe / William Green / Natsuko Imai / Thomas A. Mellan / Swapnil Mishra / Pierre Nouvellet / H. Juliette T. Unwin /

Robert Verity / Michaela Vollmer / Charles Whittaker / Neil M. Ferguson / Christl A. Donnelly / Steven Riley

Wellcome Open Research, Vol

2 approved]

2020 Volume 5

Abstract: Background: Since early March 2020, the COVID-19 epidemic across the United Kingdom has led to a range of social distancing policies, which have resulted in reduced mobility across different regions. Crowd level data on mobile phone usage can be used as ... ...

Abstract	Background: Since early March 2020, the COVID-19 epidemic across the United Kingdom has led to a range of social distancing policies, which have resulted in reduced mobility across different regions. Crowd level data on mobile phone usage can be used as a proxy for actual population mobility patterns and provide a way of quantifying the impact of social distancing measures on changes in mobility. Methods: Here, we use two mobile phone-based datasets (anonymised and aggregated crowd level data from O2 and from the Facebook app on mobile phones) to assess changes in average mobility, both overall and broken down into high and low population density areas, and changes in the distribution of journey lengths. Results: We show that there was a substantial overall reduction in mobility, with the most rapid decline on the 24th March 2020, the day after the Prime Minister’s announcement of an enforced lockdown. The reduction in mobility was highly synchronized across the UK. Although mobility has remained low since 26th March 2020, we detect a gradual increase since that time. We also show that the two different datasets produce similar trends, albeit with some location-specific differences. We see slightly larger reductions in average mobility in high-density areas than in low-density areas, with greater variation in mobility in the high-density areas: some high-density areas eliminated almost all mobility. Conclusions: These analyses form a baseline from which to observe changes in behaviour in the UK as social distancing is eased and inform policy towards the future control of SARS-CoV-2 in the UK.
Keywords	Medicine ; R ; Science ; Q ; covid19
Subject code	300
Language	English
Publishing date	2020-07-01T00:00:00Z
Publisher	Wellcome
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Evidence of initial success for China exiting COVID-19 social distancing policy after achieving containment [version 2; peer review

Kylie E. C. Ainslie / Caroline E. Walters / Han Fu / Sangeeta Bhatia / Haowei Wang / Xiaoyue Xi / Marc Baguelin / Samir Bhatt / Adhiratha Boonyasiri / Olivia Boyd / Lorenzo Cattarino / Constanze Ciavarella / Zulma Cucunuba / Gina Cuomo-Dannenburg / Amy Dighe / Ilaria Dorigatti / Sabine L van Elsland / Rich FitzJohn / Katy Gaythorpe /

Wellcome Open Research, Vol

2 approved]

2020 Volume 5

Abstract: Background: The COVID-19 epidemic was declared a Global Pandemic by WHO on 11 March 2020. By 24 March 2020, over 440,000 cases and almost 20,000 deaths had been reported worldwide. In response to the fast-growing epidemic, which began in the Chinese city ...

Abstract	Background: The COVID-19 epidemic was declared a Global Pandemic by WHO on 11 March 2020. By 24 March 2020, over 440,000 cases and almost 20,000 deaths had been reported worldwide. In response to the fast-growing epidemic, which began in the Chinese city of Wuhan, Hubei, China imposed strict social distancing in Wuhan on 23 January 2020 followed closely by similar measures in other provinces. These interventions have impacted economic productivity in China, and the ability of the Chinese economy to resume without restarting the epidemic was not clear. Methods: Using daily reported cases from mainland China and Hong Kong SAR, we estimated transmissibility over time and compared it to daily within-city movement, as a proxy for economic activity. Results: Initially, within-city movement and transmission were very strongly correlated in the five mainland provinces most affected by the epidemic and Beijing. However, that correlation decreased rapidly after the initial sharp fall in transmissibility. In general, towards the end of the study period, the correlation was no longer apparent, despite substantial increases in within-city movement. A similar analysis for Hong Kong shows that intermediate levels of local activity were maintained while avoiding a large outbreak. At the very end of the study period, when China began to experience the re-introduction of a small number of cases from Europe and the United States, there is an apparent up-tick in transmission. Conclusions: Although these results do not preclude future substantial increases in incidence, they suggest that after very intense social distancing (which resulted in containment), China successfully exited its lockdown to some degree. Elsewhere, movement data are being used as proxies for economic activity to assess the impact of interventions. The results presented here illustrate how the eventual decorrelation between transmission and movement is likely a key feature of successful COVID-19 exit strategies.
Keywords	Medicine ; R ; Science ; Q ; covid19
Subject code	950
Language	English
Publishing date	2020-10-01T00:00:00Z
Publisher	Wellcome
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Evidence of initial success for China exiting COVID-19 social distancing policy after achieving containment [version 1; peer review

Kylie E C Ainslie / Caroline E. Walters / Han Fu / Sangeeta Bhatia / Haowei Wang / Xiaoyue Xi / Marc Baguelin / Samir Bhatt / Adhiratha Boonyasiri / Olivia Boyd / Lorenzo Cattarino / Constanze Ciavarella / Zulma Cucunuba / Gina Cuomo-Dannenburg / Amy Dighe / Ilaria Dorigatti / Sabine L van Elsland / Rich FitzJohn / Katy Gaythorpe /

Wellcome Open Research, Vol

2 approved]

2020 Volume 5

Abstract	Background: The COVID-19 epidemic was declared a Global Pandemic by WHO on 11 March 2020. By 24 March 2020, over 440,000 cases and almost 20,000 deaths had been reported worldwide. In response to the fast-growing epidemic, which began in the Chinese city of Wuhan, Hubei, China imposed strict social distancing in Wuhan on 23 January 2020 followed closely by similar measures in other provinces. These interventions have impacted economic productivity in China, and the ability of the Chinese economy to resume without restarting the epidemic was not clear. Methods: Using daily reported cases from mainland China and Hong Kong SAR, we estimated transmissibility over time and compared it to daily within-city movement, as a proxy for economic activity. Results: Initially, within-city movement and transmission were very strongly correlated in the five mainland provinces most affected by the epidemic and Beijing. However, that correlation decreased rapidly after the initial sharp fall in transmissibility. In general, towards the end of the study period, the correlation was no longer apparent, despite substantial increases in within-city movement. A similar analysis for Hong Kong shows that intermediate levels of local activity were maintained while avoiding a large outbreak. At the very end of the study period, when China began to experience the re-introduction of a small number of cases from Europe and the United States, there is an apparent up-tick in transmission. Conclusions: Although these results do not preclude future substantial increases in incidence, they suggest that after very intense social distancing (which resulted in containment), China successfully exited its lockdown to some degree. Elsewhere, movement data are being used as proxies for economic activity to assess the impact of interventions. The results presented here illustrate how the eventual decorrelation between transmission and movement is likely a key feature of successful COVID-19 exit strategies.
Keywords	Medicine ; R ; Science ; Q
Subject code	950
Language	English
Publishing date	2020-04-01T00:00:00Z
Publisher	Wellcome
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Response to COVID-19 in South Korea and implications for lifting stringent interventions

Amy Dighe / Lorenzo Cattarino / Gina Cuomo-Dannenburg / Janetta Skarp / Natsuko Imai / Sangeeta Bhatia / Katy A. M. Gaythorpe / Kylie E. C. Ainslie / Marc Baguelin / Samir Bhatt / Adhiratha Boonyasiri / Nicholas F. Brazeau / Laura V. Cooper / Helen Coupland / Zulma Cucunuba / Ilaria Dorigatti / Oliver D. Eales / Sabine L. van Elsland / Richard G. FitzJohn /

BMC Medicine, Vol 18, Iss 1, Pp 1-

2020 Volume 12

Abstract: Abstract Background After experiencing a sharp growth in COVID-19 cases early in the pandemic, South Korea rapidly controlled transmission while implementing less stringent national social distancing measures than countries in Europe and the USA. This ... ...

Abstract	Abstract Background After experiencing a sharp growth in COVID-19 cases early in the pandemic, South Korea rapidly controlled transmission while implementing less stringent national social distancing measures than countries in Europe and the USA. This has led to substantial interest in their “test, trace, isolate” strategy. However, it is important to understand the epidemiological peculiarities of South Korea’s outbreak and characterise their response before attempting to emulate these measures elsewhere. Methods We systematically extracted numbers of suspected cases tested, PCR-confirmed cases, deaths, isolated confirmed cases, and numbers of confirmed cases with an identified epidemiological link from publicly available data. We estimated the time-varying reproduction number, R t , using an established Bayesian framework, and reviewed the package of interventions implemented by South Korea using our extracted data, plus published literature and government sources. Results We estimated that after the initial rapid growth in cases, R t dropped below one in early April before increasing to a maximum of 1.94 (95%CrI, 1.64–2.27) in May following outbreaks in Seoul Metropolitan Region. By mid-June, R t was back below one where it remained until the end of our study (July 13th). Despite less stringent “lockdown” measures, strong social distancing measures were implemented in high-incidence areas and studies measured a considerable national decrease in movement in late February. Testing the capacity was swiftly increased, and protocols were in place to isolate suspected and confirmed cases quickly; however, we could not estimate the delay to isolation using our data. Accounting for just 10% of cases, individual case-based contact tracing picked up a relatively minor proportion of total cases, with cluster investigations accounting for 66%. Conclusions Whilst early adoption of testing and contact tracing is likely to be important for South Korea’s successful outbreak control, other factors including regional ...
Keywords	COVID-19 ; South Korea ; Public health interventions ; Reproduction number ; Contact tracing ; Medicine ; R ; covid19
Subject code	306
Language	English
Publishing date	2020-10-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Reduction in mobility and COVID-19 transmission

Pierre Nouvellet / Sangeeta Bhatia / Anne Cori / Kylie E. C. Ainslie / Marc Baguelin / Samir Bhatt / Adhiratha Boonyasiri / Nicholas F. Brazeau / Lorenzo Cattarino / Laura V. Cooper / Helen Coupland / Zulma M. Cucunuba / Gina Cuomo-Dannenburg / Amy Dighe / Bimandra A. Djaafara / Ilaria Dorigatti / Oliver D. Eales / Sabine L. van Elsland / Fabricia F. Nascimento /

Richard G. FitzJohn / Katy A. M. Gaythorpe / Lily Geidelberg / William D. Green / Arran Hamlet / Katharina Hauck / Wes Hinsley / Natsuko Imai / Benjamin Jeffrey / Edward Knock / Daniel J. Laydon / John A. Lees / Tara Mangal / Thomas A. Mellan / Gemma Nedjati-Gilani / Kris V. Parag / Margarita Pons-Salort / Manon Ragonnet-Cronin / Steven Riley / H. Juliette T. Unwin / Robert Verity / Michaela A. C. Vollmer / Erik Volz / Patrick G. T. Walker / Caroline E. Walters / Haowei Wang / Oliver J. Watson / Charles Whittaker / Lilith K. Whittles / Xiaoyue Xi / Neil M. Ferguson

Nature Communications, Vol 12, Iss 1, Pp 1-

2021 Volume 9

Abstract: Social distancing policies aiming to reduce COVID-19 transmission have been reflected in reductions in human mobility. Here, the authors show that reduced mobility is correlated with decreased transmission, but that this relationship weakened over time ... ...

Abstract	Social distancing policies aiming to reduce COVID-19 transmission have been reflected in reductions in human mobility. Here, the authors show that reduced mobility is correlated with decreased transmission, but that this relationship weakened over time as social distancing measures were relaxed.
Keywords	Science ; Q
Language	English
Publishing date	2021-02-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: State-level tracking of COVID-19 in the United States

H. Juliette T. Unwin / Swapnil Mishra / Valerie C. Bradley / Axel Gandy / Thomas A. Mellan / Helen Coupland / Jonathan Ish-Horowicz / Michaela A. C. Vollmer / Charles Whittaker / Sarah L. Filippi / Xiaoyue Xi / Mélodie Monod / Oliver Ratmann / Michael Hutchinson / Fabian Valka / Harrison Zhu / Iwona Hawryluk / Philip Milton / Kylie E. C. Ainslie /

Marc Baguelin / Adhiratha Boonyasiri / Nick F. Brazeau / Lorenzo Cattarino / Zulma Cucunuba / Gina Cuomo-Dannenburg / Ilaria Dorigatti / Oliver D. Eales / Jeffrey W. Eaton / Sabine L. van Elsland / Richard G. FitzJohn / Katy A. M. Gaythorpe / William Green / Wes Hinsley / Benjamin Jeffrey / Edward Knock / Daniel J. Laydon / John Lees / Gemma Nedjati-Gilani / Pierre Nouvellet / Lucy Okell / Kris V. Parag / Igor Siveroni / Hayley A. Thompson / Patrick Walker / Caroline E. Walters / Oliver J. Watson / Lilith K. Whittles / Azra C. Ghani / Neil M. Ferguson / Steven Riley / Christl A. Donnelly / Samir Bhatt / Seth Flaxman

Nature Communications, Vol 11, Iss 1, Pp 1-

2020 Volume 9

Abstract: High numbers of COVID-19-related deaths have been reported in the United States, but estimation of the true numbers of infections is challenging. Here, the authors estimate that on 1 June 2020, 3.7% of the US population was infected with SARS-CoV-2, and ... ...

Abstract	High numbers of COVID-19-related deaths have been reported in the United States, but estimation of the true numbers of infections is challenging. Here, the authors estimate that on 1 June 2020, 3.7% of the US population was infected with SARS-CoV-2, and 0.01% was infectious, with wide variation by state.
Keywords	Science ; Q
Language	English
Publishing date	2020-12-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Potential impact of the COVID-19 pandemic on HIV, tuberculosis, and malaria in low-income and middle-income countries

Alexandra B Hogan, PhD / Britta L Jewell, PhD / Ellie Sherrard-Smith, PhD / Juan F Vesga, PhD / Oliver J Watson, PhD / Charles Whittaker, MSc / Arran Hamlet, PhD / Jennifer A Smith, DPhil / Peter Winskill, PhD / Robert Verity, PhD / Marc Baguelin, PhD / John A Lees, PhD / Lilith K Whittles, PhD / Kylie E C Ainslie, PhD / Samir Bhatt, DPhil / Adhiratha Boonyasiri, MD / Nicholas F Brazeau, PhD / Lorenzo Cattarino, PhD / Laura V Cooper, MPhil /

Helen Coupland, MRes / Gina Cuomo-Dannenburg, MMath / Amy Dighe, MRes / Bimandra A Djaafara, MRes / Christl A Donnelly, ProfScD / Jeff W Eaton, PhD / Sabine L van Elsland, PhD / Richard G FitzJohn, PhD / Han Fu, PhD / Katy A M Gaythorpe, PhD / William Green, MRes / David J Haw, PhD / Sarah Hayes, MSc / Wes Hinsley, PhD / Natsuko Imai, PhD / Daniel J Laydon, PhD / Tara D Mangal, PhD / Thomas A Mellan, PhD / Swapnil Mishra, PhD / Gemma Nedjati-Gilani, PhD / Kris V Parag, PhD / Hayley A Thompson, MPH / H Juliette T Unwin, PhD / Michaela A C Vollmer, PhD / Caroline E Walters, PhD / Haowei Wang, MSc / Yuanrong Wang / Xiaoyue Xi, MSc / Neil M Ferguson, ProfDPhil / Lucy C Okell, PhD / Thomas S Churcher, PhD

The Lancet Global Health, Vol 8, Iss 9, Pp e1132-e

a modelling study

2020 Volume 1141

Abstract: Summary: Background: COVID-19 has the potential to cause substantial disruptions to health services, due to cases overburdening the health system or response measures limiting usual programmatic activities. We aimed to quantify the extent to which ... ...

Abstract	Summary: Background: COVID-19 has the potential to cause substantial disruptions to health services, due to cases overburdening the health system or response measures limiting usual programmatic activities. We aimed to quantify the extent to which disruptions to services for HIV, tuberculosis, and malaria in low-income and middle-income countries with high burdens of these diseases could lead to additional loss of life over the next 5 years. Methods: Assuming a basic reproduction number of 3·0, we constructed four scenarios for possible responses to the COVID-19 pandemic: no action, mitigation for 6 months, suppression for 2 months, or suppression for 1 year. We used established transmission models of HIV, tuberculosis, and malaria to estimate the additional impact on health that could be caused in selected settings, either due to COVID-19 interventions limiting activities, or due to the high demand on the health system due to the COVID-19 pandemic. Findings: In high-burden settings, deaths due to HIV, tuberculosis, and malaria over 5 years could increase by up to 10%, 20%, and 36%, respectively, compared with if there was no COVID-19 pandemic. The greatest impact on HIV was estimated to be from interruption to antiretroviral therapy, which could occur during a period of high health system demand. For tuberculosis, the greatest impact would be from reductions in timely diagnosis and treatment of new cases, which could result from any prolonged period of COVID-19 suppression interventions. The greatest impact on malaria burden could be as a result of interruption of planned net campaigns. These disruptions could lead to a loss of life-years over 5 years that is of the same order of magnitude as the direct impact from COVID-19 in places with a high burden of malaria and large HIV and tuberculosis epidemics. Interpretation: Maintaining the most critical prevention activities and health-care services for HIV, tuberculosis, and malaria could substantially reduce the overall impact of the COVID-19 pandemic. Funding: ...
Keywords	Public aspects of medicine ; RA1-1270 ; covid19
Subject code	306
Language	English
Publishing date	2020-09-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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