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2. A dynamic extreme value model with applications to volcanic eruption forecasting

Author

Nguyen, Michele, Veraart, Almut E. D., Taisne, Benoit, Ting, Tan Chiou, and Lallemant, David

Subjects
Statistics - Applications
Abstract

Extreme events such as natural and economic disasters leave lasting impacts on society and motivate the analysis of extremes from data. While classical statistical tools based on Gaussian distributions focus on average behaviour and can lead to persistent biases when estimating extremes, extreme value theory (EVT) provides the mathematical foundations to accurately characterise extremes. In this paper, we adapt a dynamic extreme value model recently introduced to forecast financial risk from high frequency data to the context of natural hazard forecasting. We demonstrate its wide applicability and flexibility using a case study of the Piton de la Fournaise volcano. The value of using EVT-informed thresholds to identify and model extreme events is shown through forecast performance., Comment: Math Geosci (2023)

Published
2022
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5. Mapping malaria seasonality: a case study from Madagascar

Author

Nguyen, Michele, Howes, Rosalind E., Lucas, Tim C. D., Battle, Katherine E., Cameron, Ewan, Gibson, Harry S., Rozier, Jennifer, Keddie, Suzanne, Collins, Emma, Arambepola, Rohan, Kang, Su Yun, Hendriks, Chantal, Nandi, Anita, Rumisha, Susan F., Bhatt, Samir, Mioramalala, Sedera A., Nambinisoa, Mauricette Andriamananjara, Rakotomanana, Fanjasoa, Gething, Peter W., and Weiss, Daniel J.

Subjects
Statistics - Applications, Statistics - Methodology
Abstract

Many malaria-endemic areas experience seasonal fluctuations in case incidence as Anopheles mosquito and Plasmodium parasite life cycles respond to changing environmental conditions. While most existing maps of malaria seasonality use fixed thresholds of rainfall, temperature, and/or vegetation indices to identify suitable transmission months, we develop a statistical modelling framework for characterising the seasonal patterns derived directly from case data. The procedure involves a spatiotemporal regression model for estimating the monthly proportions of total annual cases and an algorithm to identify operationally relevant characteristics such as the transmission start and peak months. A seasonality index combines the monthly proportion estimates and existing estimates of annual case incidence to provide a summary of "how seasonal" locations are relative to their surroundings. An advancement upon past seasonality mapping endeavours is the presentation of the uncertainty associated with each map, which will enable policymakers to make more statistically sound decisions. The methodology is illustrated using health facility data from Madagascar.

Published
2019
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6. Efficacy of Selpercatinib in RET-Altered Thyroid Cancers.

Author

Wirth, Lori, Sherman, Eric, Robinson, Bruce, Solomon, Benjamin, Kang, Hyunseok, Lorch, Jochen, Worden, Francis, Brose, Marcia, Patel, Jyoti, Leboulleux, Sophie, Godbert, Yann, Barlesi, Fabrice, Morris, John, Owonikoko, Taofeek, Tan, Daniel, Gautschi, Oliver, Weiss, Jared, de la Fouchardière, Christelle, Burkard, Mark, Laskin, Janessa, Taylor, Matthew, Kroiss, Matthias, Medioni, Jacques, Goldman, Jonathan, Bauer, Todd, Levy, Benjamin, Zhu, Viola, Lakhani, Nehal, Moreno, Victor, Ebata, Kevin, Nguyen, Michele, Heirich, Dana, Zhu, Edward, Huang, Xin, Yang, Luxi, Kherani, Jennifer, Rothenberg, S, Drilon, Alexander, Subbiah, Vivek, Shah, Manisha, and Cabanillas, Maria

Subjects
Adolescent, Adult, Aged, Aged, 80 and over, Female, Humans, Hypertension, Intention to Treat Analysis, Kaplan-Meier Estimate, Male, Middle Aged, Mutation, Progression-Free Survival, Protein Kinase Inhibitors, Proto-Oncogene Proteins c-ret, Pyrazoles, Pyridines, Thyroid Neoplasms, Transaminases, Treatment Outcome, Young Adult
Abstract

BACKGROUND: RET mutations occur in 70% of medullary thyroid cancers, and RET fusions occur rarely in other thyroid cancers. In patients with RET-altered thyroid cancers, the efficacy and safety of selective RET inhibition are unknown. METHODS: We enrolled patients with RET-mutant medullary thyroid cancer with or without previous vandetanib or cabozantinib treatment, as well as those with previously treated RET fusion-positive thyroid cancer, in a phase 1-2 trial of selpercatinib. The primary end point was an objective response (a complete or partial response), as determined by an independent review committee. Secondary end points included the duration of response, progression-free survival, and safety. RESULTS: In the first 55 consecutively enrolled patients with RET-mutant medullary thyroid cancer who had previously received vandetanib, cabozantinib, or both, the percentage who had a response was 69% (95% confidence interval [CI], 55 to 81), and 1-year progression-free survival was 82% (95% CI, 69 to 90). In 88 patients with RET-mutant medullary thyroid cancer who had not previously received vandetanib or cabozantinib, the percentage who had a response was 73% (95% CI, 62 to 82), and 1-year progression-free survival was 92% (95% CI, 82 to 97). In 19 patients with previously treated RET fusion-positive thyroid cancer, the percentage who had a response was 79% (95% CI, 54 to 94), and 1-year progression-free survival was 64% (95% CI, 37 to 82). The most common adverse events of grade 3 or higher were hypertension (in 21% of the patients), increased alanine aminotransferase level (in 11%), increased aspartate aminotransferase level (in 9%), hyponatremia (in 8%), and diarrhea (in 6%). Of all 531 patients treated, 12 (2%) discontinued selpercatinib owing to drug-related adverse events. CONCLUSIONS: In this phase 1-2 trial, selpercatinib showed durable efficacy with mainly low-grade toxic effects in patients with medullary thyroid cancer with and without previous vandetanib or cabozantinib treatment. (Funded by Loxo Oncology and others; LIBRETTO-001 ClinicalTrials.gov number, NCT03157128.).

Published
2020

7. Efficacy of Selpercatinib in RET Fusion–Positive Non–Small-Cell Lung Cancer

Author

Drilon, Alexander, Oxnard, Geoffrey R, Tan, Daniel SW, Loong, Herbert HF, Johnson, Melissa, Gainor, Justin, McCoach, Caroline E, Gautschi, Oliver, Besse, Benjamin, Cho, Byoung C, Peled, Nir, Weiss, Jared, Kim, Yu-Jung, Ohe, Yuichiro, Nishio, Makoto, Park, Keunchil, Patel, Jyoti, Seto, Takashi, Sakamoto, Tomohiro, Rosen, Ezra, Shah, Manisha H, Barlesi, Fabrice, Cassier, Philippe A, Bazhenova, Lyudmila, De Braud, Filippo, Garralda, Elena, Velcheti, Vamsidhar, Satouchi, Miyako, Ohashi, Kadoaki, Pennell, Nathan A, Reckamp, Karen L, Dy, Grace K, Wolf, Jürgen, Solomon, Benjamin, Falchook, Gerald, Ebata, Kevin, Nguyen, Michele, Nair, Binoj, Zhu, Edward Y, Yang, Luxi, Huang, Xin, Olek, Elizabeth, Rothenberg, S Michael, Goto, Koichi, and Subbiah, Vivek

Subjects
Lung Cancer, Clinical Research, Lung, Cancer, Adult, Aged, Aged, 80 and over, Carcinoma, Non-Small-Cell Lung, Female, Humans, Hypertension, Intention to Treat Analysis, Lung Neoplasms, Male, Middle Aged, Mutation, Progression-Free Survival, Protein Kinase Inhibitors, Proto-Oncogene Proteins c-ret, Pyrazoles, Pyridines, Transaminases, Treatment Outcome, Young Adult, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundRET fusions are oncogenic drivers in 1 to 2% of non-small-cell lung cancers (NSCLCs). In patients with RET fusion-positive NSCLC, the efficacy and safety of selective RET inhibition are unknown.MethodsWe enrolled patients with advanced RET fusion-positive NSCLC who had previously received platinum-based chemotherapy and those who were previously untreated separately in a phase 1-2 trial of selpercatinib. The primary end point was an objective response (a complete or partial response) as determined by an independent review committee. Secondary end points included the duration of response, progression-free survival, and safety.ResultsIn the first 105 consecutively enrolled patients with RET fusion-positive NSCLC who had previously received at least platinum-based chemotherapy, the percentage with an objective response was 64% (95% confidence interval [CI], 54 to 73). The median duration of response was 17.5 months (95% CI, 12.0 to could not be evaluated), and 63% of the responses were ongoing at a median follow-up of 12.1 months. Among 39 previously untreated patients, the percentage with an objective response was 85% (95% CI, 70 to 94), and 90% of the responses were ongoing at 6 months. Among 11 patients with measurable central nervous system metastasis at enrollment, the percentage with an objective intracranial response was 91% (95% CI, 59 to 100). The most common adverse events of grade 3 or higher were hypertension (in 14% of the patients), an increased alanine aminotransferase level (in 12%), an increased aspartate aminotransferase level (in 10%), hyponatremia (in 6%), and lymphopenia (in 6%). A total of 12 of 531 patients (2%) discontinued selpercatinib because of a drug-related adverse event.ConclusionsSelpercatinib had durable efficacy, including intracranial activity, with mainly low-grade toxic effects in patients with RET fusion-positive NSCLC who had previously received platinum-based chemotherapy and those who were previously untreated. (Funded by Loxo Oncology and others; LIBRETTO-001 ClinicalTrials.gov number, NCT03157128.).

Published
2020

9. Bridging between short-range and long-range dependence with mixed spatio-temporal Ornstein-Uhlenbeck processes

Author

Nguyen, Michele and Veraart, Almut E. D.

Subjects
Statistics - Methodology
Abstract

While short-range dependence is widely assumed in the literature for its simplicity, long-range dependence is a feature that has been observed in data from finance, hydrology, geophysics and economics. In this paper, we extend a L\'evy-driven spatio-temporal Ornstein-Uhlenbeck process by randomly varying its rate parameter to model both short-range and long-range dependence. This particular set-up allows for non-separable spatio-temporal correlations which are desirable for real applications, as well as flexible spatial covariances which arise from the shapes of influence regions. Theoretical properties such as spatio-temporal stationarity and second-order moments are established. An isotropic g-class is also used to illustrate how the memory of the process is related to the probability distribution of the rate parameter. We develop a simulation algorithm for the compound Poisson case which can be used to approximate other L\'evy bases. The generalised method of moments is used for inference and simulation experiments are conducted with a view towards asymptotic properties.

Published
2017
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10. A note on confidence intervals for parameter estimates of a spatio-temporal Ornstein-Uhlenbeck process

Author

Nguyen, Michele and Veraart, Almut E. D.

Subjects
Statistics - Methodology
Abstract

We compare two ways of constructing confidence intervals for the moments-matching parameter estimates of a Gaussian spatio-temporal Ornstein-Uhlenbeck process. It was found that those obtained via pairwise likelihood approximations had lower coverages and were more prone to the curse of dimensionality as opposed to those from a parametric bootstrap procedure.

Published
2016

11. Fundamental classes of ambit fields in space and space-time : theory, simulation and statistical inference

Author

Nguyen, Michele, Veraart, Almut E. D., and Pavliotis, Grigoris

Subjects
510
Abstract

With their origins in turbulence modelling, ambit fields have recently been presented as a new modelling framework. Since many subclasses studied in the literature have been restricted to the temporal setting, we focus on three classes of ambit fields in space and space-time: the spatio-temporal Ornstein-Uhlenbeck (STOU), the mixed STOU (MSTOU) and the volatility modulated moving average (VMMA) processes. Through the STOU and MSTOU processes, we examine how the spatio-temporal covariances of an ambit field are affected by our choice of the integration sets and the Lévy bases. Through the VMMA, we see how introducing stochastic volatility caters for spatial heteroskedasticity. That is, changing variances and covariances over space. In this thesis, we not only derive the theoretical properties of the models but also develop simulation and inference techniques. Discrete convolution approximations of the fields and compound Poisson approximations of the Lévy bases are used in the design of our simulation algorithms and the mean squared errors involved are derived. Moments-based methods are used for estimation and estimator properties such as consistency are established. In the case of a Gaussian STOU process, interval estimation is considered through pairwise composite likelihood methods and Monte Carlo confidence intervals. The practical relevance of our models is further illustrated using radiation anomaly and sea surface temperature anomaly data. The STOU, MSTOU and VMMA each capture a different, key aspect of the more general ambit field. It is hoped that by studying their theory, simulation and statistical inference methods, we can build a more holistic view of the general setting.

Published
2017
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12. Modelling spatial heteroskedasticity by volatility modulated moving averages

Author

Nguyen, Michele and Veraart, Almut E. D.

Subjects
Statistics - Methodology
Abstract

Spatial heteroskedasticity refers to stochastically changing variances and covariances in space. Such features have been observed in, for example, air pollution and vegetation data. We study how volatility modulated moving averages can model this by developing theory, simulation and statistical inference methods. For illustration, we also apply our procedure to sea surface temperature anomaly data from the International Research Institute for Climate and Society.

Published
2016
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13. Spatio-temporal Ornstein-Uhlenbeck processes: theory, simulation and statistical inference

Author

Nguyen, Michele and Veraart, Almut E. D.

Subjects
Statistics - Methodology
Abstract

Spatio-temporal modelling is an increasingly popular topic in Statistics. Our paper contributes to this line of research by developing the theory, simulation and inference for a spatio-temporal Ornstein-Uhlenbeck process. We conduct detailed simulation studies and demonstrate the practical relevance of these processes in an empirical study of radiation anomaly data. Finally, we describe how predictions can be carried out in the Gaussian setting., Comment: Supplementary material included

Published
2015
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14. RET Solvent Front Mutations Mediate Acquired Resistance to Selective RET Inhibition in RET-Driven Malignancies

Author

Solomon, Benjamin J., Tan, Lavinia, Lin, Jessica J., Wong, Stephen Q., Hollizeck, Sebastian, Ebata, Kevin, Tuch, Brian B., Yoda, Satoshi, Gainor, Justin F., Sequist, Lecia V., Oxnard, Geoffrey R., Gautschi, Oliver, Drilon, Alexander, Subbiah, Vivek, Khoo, Christine, Zhu, Edward Y., Nguyen, Michele, Henry, Dahlia, Condroski, Kevin R., Kolakowski, Gabrielle R., Gomez, Eliana, Ballard, Joshua, Metcalf, Andrew T., Blake, James F., Dawson, Sarah-Jane, Blosser, Wayne, Stancato, Louis F., Brandhuber, Barbara J., Andrews, Steve, Robinson, Bruce G., and Rothenberg, S. Michael

Published
2020
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17. Trends in treatment-seeking for fever in children under five years old in 151 countries from 1990 to 2020

Author

Nguyen, Michele, primary, Dzianach, Paulina A., additional, Castle, Paul E. C. W., additional, Rumisha, Susan F., additional, Rozier, Jennifer A., additional, Harris, Joseph R., additional, Gibson, Harry S., additional, Twohig, Katherine A., additional, Vargas-Ruiz, Camilo A., additional, Bisanzio, Donal, additional, Cameron, Ewan, additional, Weiss, Daniel J., additional, Bhatt, Samir, additional, Gething, Peter W., additional, and Battle, Katherine E., additional

Published
2023
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19. Global estimation of anti-malarial drug effectiveness for the treatment of uncomplicated Plasmodium falciparum malaria 1991–2019

Author

Rathmes, Giulia, Rumisha, Susan F., Lucas, Tim C. D., Twohig, Katherine A., Python, Andre, Nguyen, Michele, Nandi, Anita K., Keddie, Suzanne H., Collins, Emma L., Rozier, Jennifer A., Gibson, Harry S., Chestnutt, Elisabeth G., Battle, Katherine E., Humphreys, Georgina S., Amratia, Punam, Arambepola, Rohan, Bertozzi-Villa, Amelia, Hancock, Penelope, Millar, Justin J., Symons, Tasmin L., Bhatt, Samir, Cameron, Ewan, Guerin, Philippe J., Gething, Peter W., and Weiss, Daniel J.

Published
2020
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20. Mapping malaria seasonality in Madagascar using health facility data

Author

Nguyen, Michele, Howes, Rosalind E., Lucas, Tim C.D., Battle, Katherine E., Cameron, Ewan, Gibson, Harry S., Rozier, Jennifer, Keddie, Suzanne, Collins, Emma, Arambepola, Rohan, Kang, Su Yun, Hendriks, Chantal, Nandi, Anita, Rumisha, Susan F., Bhatt, Samir, Mioramalala, Sedera A., Nambinisoa, Mauricette Andriamananjara, Rakotomanana, Fanjasoa, Gething, Peter W., and Weiss, Daniel J.

Published
2020
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23. A novel statistical framework for exploring the population dynamics and seasonality of mosquito populations

Author

Whittaker, Charles, Winskill, Peter, Sinka, Marianne, Pironon, Samuel, Massey, Claire, Weiss, Daniel J, Nguyen, Michele, Gething, Peter W, Kumar, Ashwani, Ghani, Azra, Bhatt, Samir, Whittaker, Charles, Winskill, Peter, Sinka, Marianne, Pironon, Samuel, Massey, Claire, Weiss, Daniel J, Nguyen, Michele, Gething, Peter W, Kumar, Ashwani, Ghani, Azra, and Bhatt, Samir

Abstract

Understanding the temporal dynamics of mosquito populations underlying vector-borne disease transmission is key to optimizing control strategies. Many questions remain surrounding the drivers of these dynamics and how they vary between species-questions rarely answerable from individual entomological studies (that typically focus on a single location or species). We develop a novel statistical framework enabling identification and classification of time series with similar temporal properties, and use this framework to systematically explore variation in population dynamics and seasonality in anopheline mosquito time series catch data spanning seven species, 40 years and 117 locations across mainland India. Our analyses reveal pronounced variation in dynamics across locations and between species in the extent of seasonality and timing of seasonal peaks. However, we show that these diverse dynamics can be clustered into four 'dynamical archetypes', each characterized by distinct temporal properties and associated with a largely unique set of environmental factors. Our results highlight that a range of environmental factors including rainfall, temperature, proximity to static water bodies and patterns of land use (particularly urbanicity) shape the dynamics and seasonality of mosquito populations, and provide a generically applicable framework to better identify and understand patterns of seasonal variation in vectors relevant to public health.

Published
2022

25. Supplementary Information - Additional Methods & Results from A novel statistical framework for exploring the population dynamics and seasonality of mosquito populations

Author

Whittaker, Charles, Winskill, Peter, Sinka, Marianne, Pironon, Samuel, Massey, Claire, Weiss, Daniel J., Nguyen, Michele, Gething, Peter W., Kumar, Ashwani, Ghani, Azra, and Bhatt, Samir

Abstract

Understanding the temporal dynamics of mosquito populations underlying vector-borne disease transmission is key to optimizing control strategies. Many questions remain surrounding the drivers of these dynamics and how they vary between species���questions rarely answerable from individual entomological studies (that typically focus on a single location or species). We develop a novel statistical framework enabling identification and classification of time series with similar temporal properties; and use this framework to systematically explore variation in population dynamics and seasonality in Anopheline mosquito time-series catch data spanning seven species, 40 years and 117 locations across India. Our analyses reveal pronounced variation in dynamics across locations and between species in the extent of seasonality and timing of seasonal peaks. However, we show that these diverse dynamics can be clustered into four ���dynamical archetypes���, each characterized by distinct temporal properties and associated with a largely unique set of environmental factors. Our results highlight that a range of environmental factors including rainfall, temperature, proximity to static water bodies and patterns of land use (particularly urbanicity) shape the dynamics and seasonality of mosquito populations; and provide a generically applicable framework to better identify and understand patterns of seasonal variation in vectors relevant to public health.

Published
2022
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26. Shedding light on avoided disasters: measuring the invisible benefits of disaster risk management using probabilistic counterfactual analysis

Author

Rabonza, Maricar, Lallemant, David, Lin, Yolanda C., Tadepalli, Sanjana, Wagenaar, Dennis, Nguyen, Michele, Choong, Jeanette, Liu, Celine Jia Ni, Sarica, Gizem Mestav, Widawati, Bernadeti Ausie Miranda, Balbi, Mariano, Khan, Feroz, Loos, Sabine, Lim, Tian Ning, Asian School of the Environment, School of Physical and Mathematical Sciences, Earth Observatory of Singapore, and Institute of Catastrophe Risk Management (ICRM)

Subjects
Disaster Risk Management, Counterfactual Analysis, Geography::Natural disasters [Social sciences], Probability Analysis, Computer science and engineering::Mathematics of computing::Probability and statistics [Engineering]
Abstract

The goal of Disaster Risk Management (DRM) is to ensure that society continues to function, thrive, and recover quickly despite shocks arising from natural or human actions; to ensure, in short, that natural hazards do not become disasters. Success in the world of DRM means 'nothing happens,' but this poses a dilemma towards recognising and incentivising successful DRM interventions since they are made invisible by the very nature of their success. How then do we highlight and learn from successes if we do not see them? Likewise, how do we incentivise policymakers to make better risk-informed decisions when they are not credited for pro-active actions nor accountable for the consequences of doing nothing? This study discusses four types of situations where successful DRM interventions are made invisible: (i) success made invisible in the midst of broader disaster, (ii) success made invisible by nature of the success, (iii) success made invisible due to yet unrealised benefits, (iv) success made invisible due to the randomness of the specific outcome. We propose the use of probabilistic counterfactual analysis to calculate and highlight the `probabilistic lives saved' from disaster risk management interventions, that would otherwise remain unnoticed. Two case-studies are provided, a school seismic retrofit program in Nepal and a cyclone evacuation effort in India. An important conclusion that emerges from these studies is that the value of risk reduction interventions should not be judged on the basis of specific outcomes, but on the basis of a broader exploration of potential outcomes. The shift in focus from realised outcome to counterfactual alternative provides a framework to identify and learn from successes in DRM, and reward individuals and institutions who have displayed political bravery in committing to the implementation of DRM measures despite invisible benefits. Ministry of Education (MOE) National Research Foundation (NRF) Published version We thank Dr. Nama Budhathoki, Kathmandu Living Labs and the GFDRR Open Data for Resilience Initiative for data on retrofitted schools in Nepal. This project is supported by the National Research Foundation, Prime Minister’s Office, Singapore under the NRF-NRFF2018-06 award, the Earth Observatory of Singapore (EOS), the National Research Foundation of Singapore, and the Singapore Ministry of Education under the Research Center of Excellence initiative.

Published
2021

27. Mapping malaria by sharing spatial information between incidence and prevalence data sets

Author

Lucas, Tim CD, Nandi, Anita K, Chestnutt, Elisabeth G, Twohig, Katherine A, Keddie, Suzanne H, Collins, Emma L, Howes, Rosalind E, Nguyen, Michele, Rumisha, Susan F, Python, Andre, Arambepola, Rohan, Bertozzi‐Villa, Amelia, Hancock, Penelope, Amratia, Punam, Battle, Katherine E, Cameron, Ewan, Gething, Peter W, and Weiss, Daniel J

Abstract

As malaria incidence decreases and more countries move towards elimination, maps of malaria risk in low-prevalence areas are increasingly needed. For low-burden areas, disaggregation regression models have been developed to estimate risk at high spatial resolution from routine surveillance reports aggregated by administrative unit polygons. However, in areas with both routine surveillance data and prevalence surveys, models that make use of the spatial information from prevalence point-surveys might make more accurate predictions. Using case studies in Indonesia, Senegal and Madagascar, we compare the out-of-sample mean absolute error for two methods for incorporating point-level, spatial information into disaggregation regression models. The first simply fits a binomial-likelihood, logit-link, Gaussian random field to prevalence point-surveys to create a new covariate. The second is a multi-likelihood model that is fitted jointly to prevalence point-surveys and polygon incidence data. We find that in most cases there is no difference in mean absolute error between models. In only one case, did the new models perform the best. More generally, our results demonstrate that combining these types of data has the potential to reduce absolute error in estimates of malaria incidence but that simpler baseline models should always be fitted as a benchmark.

Published
2021

31. Response to the Selective RET Inhibitor Selpercatinib (LOXO-292) in a Patient With RET Fusion-positive Atypical Lung Carcinoid

Author

Kander, Elizabeth M., primary, Shah, Manisha H., additional, Zhou, Ye, additional, Goyal, Ashima, additional, Palmer, Joshua D., additional, Owen, Dwight H., additional, Shilo, Konstantin, additional, Patel, Gopal, additional, Raval, Raju R., additional, Gonzalez, Javier, additional, Nguyen, Michele, additional, Olek, Elizabeth, additional, Kherani, Jennifer, additional, Rothenberg, S. Michael, additional, and Konda, Bhavana, additional

Published
2021
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32. Additional file 1 of Global estimation of anti-malarial drug effectiveness for the treatment of uncomplicated Plasmodium falciparum malaria 1991–2019

Author

Rathmes, Giulia, Rumisha, Susan F., Lucas, Tim C. D., Twohig, Katherine A., Python, Andre, Nguyen, Michele, Nandi, Anita K., Keddie, Suzanne H., Collins, Emma L., Rozier, Jennifer A., Gibson, Harry S., Chestnutt, Elisabeth G., Battle, Katherine E., Humphreys, Georgina S., Punam Amratia, Arambepola, Rohan, Bertozzi-Villa, Amelia, Hancock, Penelope, Millar, Justin J., Tasmin L. Symons, Bhatt, Samir, Cameron, Ewan, Guerin, Philippe J., Gething, Peter W., and Weiss, Daniel J.

Abstract

Additional file 1. Supplementary information on methods, data and findings.

Published
2020
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33. Additional file 1 of Mapping malaria seasonality in Madagascar using health facility data

Author

Nguyen, Michele, Howes, Rosalind, Lucas, Tim, Battle, Katherine, Cameron, Ewan, Gibson, Harry, Rozier, Jennifer, Keddie, Suzanne, Collins, Emma, Arambepola, Rohan, Kang, Su, Hendriks, Chantal, Nandi, Anita, Rumisha, Susan, Bhatt, Samir, Sedera Mioramalala, Nambinisoa, Mauricette, Fanjasoa Rakotomanana, Gething, Peter, and Weiss, Daniel

Abstract

Additional file 1 Supplementary information including additional illustrations of the methodology, time series and empirical monthly proportion curves for three example health centres in Melaky as well as maps of other estimated seasonal characteristics such as the lengths of the transmission seasons. This document also contains an additional analysis of the methodology’s robustness towards changes in data quality as well as temporal and spatial extents.

Published
2020
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34. Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019 : a systematic analysis for the Global Burden of Disease Study 2019

Author

Abbafati, Cristiana, Abbas, Kaja M., Abbasi, Mohammad, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahi, Mohammad, Abdollahpour, Ibrahim, Abedi, Aidin, Abedi, Parisa, Abegaz, Kedir Hussein, Abolhassani, Hassan, Abosetugn, Akine Eshete, Aboyans, Victor, Abrams, Elissa M., Abreu, Lucas Guimaraes, Abrigo, Michael R. M., Abu Haimed, Abdulaziz Khalid, Abualhasan, Ahmed, Abu-Gharbieh, Eman, Abu-Raddad, Laith Jamal, Abushouk, Abdelrahman I., Acebedo, Alyssa, Ackerman, Ilana N., Adabi, Maryam, Adair, Tim, Adamu, Abdu A., Adebayo, Oladimeji M., Adedeji, Isaac Akinkunmi, Adekanmbi, Victor, Adelson, Jaimie D., Adeoye, Abiodun Moshood, Adetokunboh, Olatunji O., Adham, Davoud, Advani, Shailesh M., Afarideh, Mohsen, Afshari, Mahdi, Afshin, Ashkan, Agardh, Emilie E., Agarwal, Gina, Agasthi, Pradyumna, Agesa, Kareha M., Aghaali, Mohammad, Aghamir, Seyed Mohammad Kazem, Agrawal, Anurag, Ahmad, Tauseef, Ahmadi, Alireza, Ahmadi, Keivan, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmadpour, Ehsan, Ahmed, Muktar Beshir, Aji, Budi, Akalu, Temesgen Yihunie, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akombi, Blessing, Akunna, Chisom Joyqueenet, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Samiah, Alam, Tahiya, Alanezi, Fahad Mashhour, Alanzi, Turki M., Albertson, Samuel B., Alcalde-Rabanal, Jacqueline Elizabeth, Alema, Niguse Meles, Alemu, Biresaw Wassihun, Alemu, Yihun Mulugeta, Alhabib, Khalid F., Alhassan, Robert Kaba, Ali, Muhammad, Ali, Saqib, Alicandro, Gianfranco, Alijanzadeh, Mehran, Alinia, Cyrus, Alipour, Vahid, Alizade, Hesam, Aljunid, Syed Mohamed, Alla, Francois, Allebeck, Peter, Almadi, Majid Abdulrahman Hamad, Almasi, Ali, Almasi-Hashiani, Amir, Almasri, Nihad A., Al-Mekhlafi, Hesham M., Almulhim, Abdulaziz M., Alonso, Jordi, Al-Raddadi, Rajaa M., Altirkawi, Khalid A., Alumran, Arwa Khalid, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J., Amare, Azmeraw T., Amare, Bekalu, Amini, Saeed, Amini-Rarani, Mostafa, Aminorroaya, Arya, Amiri, Fatemeh, Amit, Arianna Maever L., Amugsi, Dickson A., Amul, Gianna Gayle Herrera, Anbesu, Etsay Woldu, Ancuceanu, Robert, Anderlini, Deanna, Anderson, Jason A., Andrei, Catalina Liliana, Andrei, Tudorel, Androudi, Sofia, Angus, Colin, Anjomshoa, Mina, Ansari, Fereshteh, Ansari, Iman, Ansari-Moghaddam, Alireza, Antonazzo, Ippazio Cosimo, Antonio, Carl Abelardo T., Antony, Catherine M., Antriyandarti, Ernoiz, Anvari, Davood, Anwer, Razique, Appiah, Seth Christopher Yaw, Arabloo, Jalal, Arab-Zozani, Morteza, Aravkin, Aleksandr Y., Arba, Aseb Arba Kinfe, Aremu, Olatunde, Ariani, Filippo, Aripov, Timur, Armoon, Bahram, Arnlov, Johan, Arowosegbe, Oluwaseyi Olalekan, Aryal, Krishna K., Arzani, Afsaneh, Asaad, Malke, Asadi-Aliabadi, Mehran, Asadi-Pooya, Ali A., Asgari, Samaneh, Asghari, Babak, Jafarabadi, Mohammad Asghari, Ashbaugh, Charlie, Assmus, Michael, Atafar, Zahra, Athari, Seyyed Shamsadin, Atnafu, Desta Debalkie, Atout, Maha Moh'd Wahbi, Atre, Sachin R., Atteraya, Madhu Sudhan, Ausloos, Floriane, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel Gbenato Arthur, Quintanilla, Beatriz Paulina Ayala, Ayano, Getinet, Ayanore, Martin Amogre, Aynalem, Getie Lake, Aynalem, Yared Asmare, Ayza, Muluken Altaye, Azari, Samad, Azarian, Ghasem, Azene, Zelalem Nigussie, Azhar, Gulrez, Azzopardi, Peter S., Darshan, B. B., Babaee, Ebrahim, Badawi, Alaa, Badiye, Ashish D., Bagherzadeh, Mojtaba, Bagli, Eleni, Bahrami, Mohammad Amin, Baig, Atif Amin, Bairwa, Mohan, Bakhshaei, Mohammad Hossein, Bakhtiari, Ahad, Bakkannavar, Shankar M., Balachandran, Arun, Balakrishnan, Senthilkumar, Balalla, Shivanthi, Balassyano, Shelly, Baldasseroni, Alberto, Ball, Kylie, Ballew, Shoshana H., Balzi, Daniela, Banach, Maciej, Banerjee, Srikanta K., Banik, Palash Chandra, Bannick, Marlena S., Bante, Agegnehu Bante, Bante, Simachew Animen, Baraki, Adhanom Gebreegziabher, Barboza, Miguel A., Barker-Collo, Suzanne Lyn, Barnighausen, Till Winfried, Barrero, Lope H., Barthelemy, Celine M., Barua, Lingkan, Barzegar, Akbar, Basaleem, Huda, Bassat, Quique, Basu, Sanjay, Baune, Bernhard T., Bayati, Mohsen, Baye, Bayisa Abdissa, Bazmandegan, Gholamreza, Becker, Jacob S., Bedi, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Bejot, Yannick, Bekuma, Tariku Tesfaye Tesfaye, Bell, Michelle L., Bello, Aminu K., Bender, Rose G., Bennett, Derrick A., Bennitt, Fiona B., Bensenor, Isabela M., Benziger, Catherine P., Berhe, Kidanemaryam, Berman, Adam E., Bernabe, Eduardo, Bernstein, Robert S., Bertolacci, Gregory J., Bhagavathula, Akshaya Srikanth, Bhageerathy, Reshmi, Bhala, Neeraj, Bhandari, Dinesh, Bhardwaj, Pankaj, Bhat, Anusha Ganapati, Bhattacharyya, Krittika, Bhattarai, Suraj, Bhutta, Zulfiqar A., Bibi, Sadia, Biehl, Molly H., Bijani, Ali, Bikbov, Boris, Bilano, Ver, Bin Sayeed, Muhammad Shahdaat, Biondi, Antonio, Birihane, Binyam Minuye, Bisanzio, Donal, Bisignano, Catherine, Biswas, Raaj Kishore, Bitew, Helen, Bjorge, Tone, Bockarie, Moses John, Bohlouli, Somayeh, Bohluli, Mehdi, Bojia, Hunduma Amensisa, Bolla, Srinivasa Rao, Boloor, Archith, Boon-Dooley, Alexandra S., Borges, Guilherme, Borzi, Antonio Maria, Borzouei, Shiva, Bose, Dipan, Bosetti, Cristina, Boufous, Soufiane, Bourne, Rupert, Brady, Oliver J., Braithwaite, Dejana, Brauer, Michael, Brayne, Carol, Breitborde, Nicholas J. K., Breitner, Susanne, Brenner, Hermann, Breusov, Alexey V., Briant, Paul Svitil, Briggs, Andrew M., Briko, Andrey Nikolaevich, Briko, Nikolay Ivanovich, Britton, Gabrielle B., Brugha, Traolach, Bryazka, Dana, Buchbinder, Rachelle, Bumgarner, Blair R., Burkart, Katrin, Burnett, Richard Thomas, Nagaraja, Sharath Burugina, Busse, Reinhard, Butt, Zahid A., Caetano dos Santos, Florentino Luciano, Cahill, Leah E., Cahuana-Hurtado, Lucero, Cai, Tianji, Callender, Charlton S. K. H., Camera, Luis Alberto, Campos-Nonato, Ismael R., Rincon, Julio Cesar Campuzano, Cao, Jackie, Car, Josip, Cardenas, Rosario, Carreras, Giulia, Carrero, Juan J., Carvalho, Felix, Castaldelli-Maia, Joao Mauricio, Castaneda-Orjuela, Carlos A., Castelpietra, Giulio, Castle, Chris D., Castro, Emma, Castro, Franz, Catala-Lopez, Ferran, Causey, Kate, Cederroth, Christopher R., Cercy, Kelly M., Cerin, Ester, Chalek, Julian, Chandan, Joht Singh, Chang, Alex R., Chang, Angela Y., Chang, Jung-Chen, Chang, Kai-Lan, Charan, Jaykaran, Charlson, Fiona J., Chattu, Vijay Kumar, Chaturvedi, Sarika, Cherbuin, Nicolas, Chimed-Ochir, Odgerel, Chin, Ken Lee, Chirinos-Caceres, Jesus Lorenzo, Cho, Daniel Youngwhan, Choi, Jee-Young Jasmine, Christensen, Hanne, Chu, Dinh-Toi, Chung, Michael T., Chung, Sheng-Chia, Cicuttini, Flavia M., Ciobanu, Liliana G., Cirillo, Massimo, Cislaghi, Beniamino, Classen, Thomas Khaled Dwayne, Cohen, Aaron J., Collins, Emma L., Comfort, Haley, Compton, Kelly, Conti, Sara, Cooper, Owen R., Corso, Barbara, Cortesi, Paolo Angelo, Costa, Vera Marisa, Cousin, Ewerton, Cowden, Richard G., Cowie, Benjamin C., Cromwell, Elizabeth A., Croneberger, Andrew J., Cross, Di H., Cross, Marita, Crowe, Christopher Stephen, Cruz, Jessica A., Cummins, Steven, Cunningham, Matthew, Dahlawi, Saad M. A., Dai, Haijiang, Dai, Hancheng, Damasceno, Albertino Antonio Moura, Damiani, Giovanni, D'Amico, Emanuele, Dandona, Lalit, Dandona, Rakhi, Daneshpajouhnejad, Parnaz, Dangel, William James, Danielsson, Anna-Karin, Gela, Jiregna Darega, Dargan, Paul I., Darwesh, Aso Mohammad, Daryani, Ahmad, Das, Jai K., Das Gupta, Rajat, Das Neves, Jose, Dash, Aditya Prasad, Davey, Gail, Davila-Cervantes, Claudio Alberto, Davis, Adrian C., Davitoiu, Dragos Virgil, Davletov, Kairat, De Leo, Diego, De Neve, Jan-Walter, Dean, Frances E., DeCleene, Nicole K., Deen, Amanda, Degenhardt, Louisa, DeLang, Marissa, Dellavalle, Robert Paul, Demeke, Feleke Mekonnen, Demoz, Gebre Teklemariam, Demsie, Desalegn Getnet, Denova-Gutierrez, Edgar, Dereje, Nebiyu Dereje, Deribe, Kebede, Dervenis, Nikolaos, Desai, Rupak, Desalew, Assefa, Dessie, Getenet Ayalew, Deuba, Keshab, Dharmaratne, Samath Dhamminda, Dhungana, Govinda Prasad, Dianatinasab, Mostafa, da Silva, Diana Dias, Diaz, Daniel, Forooshani, Zahra Sadat Dibaji, Dichgans, Martin, Didarloo, Alireza, Dingels, Zachary V., Dippenaar, Ilse N., Dirac, M. Ashworth, Djalalinia, Shirin, Do, Hoa Thi, Dokova, Klara, Doku, David Teye, Dolecek, Christiane, Dolgert, Andrew J., Dorostkar, Fariba, Doshi, Chirag P., Doshi, Pratik P., Doshmangir, Leila, Douiri, Abdel, Doxey, Matthew C., Doyle, Kerrie E., Driscoll, Tim Robert, Dubljanin, Eleonora, Dunachie, Susanna J., Duncan, Bruce B., Duraes, Andre Rodrigues, Eagan, Arielle Wilder, Ebrahimi, Hedyeh, Kalan, Mohammad Ebrahimi, Edvardsson, David, Effiong, Andem, Ehrlich, Joshua R., El Nahas, Nevine, El Sayed, Iman, Zaki, Maysaa El Sayed, El Tantawi, Maha, Elbarazi, Iffat, Elgendy, Islam Y., Elhabashy, Hala Rashad, El-Jaafary, Shaimaa I., Elsharkawy, Aisha, Elyazar, Iqbal R. F., Emamian, Mohammad Hassan, Emmons-Bell, Sophia, Erskine, Holly E., Eshrati, Babak, Eskandari, Khalil, Eskandarieh, Sharareh, Esmaeilnejad, Saman, Esmaeilzadeh, Firooz, Esteghamati, Alireza, Esteghamati, Sadaf, Estep, Kara, Etemadi, Arash, Etisso, Atkilt Esaiyas, Ezekannagha, Oluchi, Fanzo, Jessica, Farag, Tamer, Farahmand, Mohammad, Faraj, Anwar, Faraon, Emerito Jose A., Fareed, Mohammad, Faridnia, Roghiyeh, Farinha, Carla Sofia e Sa, Farioli, Andrea, Faris, Pawan Sirwan, Faro, Andre, Faruque, Mithila, Farzadfar, Farshad, Fattahi, Nazir, Fazaeli, Ali Akbar, Fazlzadeh, Mehdi, Feigin, Valery L., Feldman, Rachel, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Ferrara, Giannina, Ferrara, Pietro, Ferrari, Alize J., Ferreira, Manuela L., Feyissa, Garumma Tolu, Filip, Irina, Fischer, Florian, Fisher, James L., Fitzgerald, Ryan, Flohr, Carsten, Flor, Luisa Sorio, Foigt, Nataliya A., Folayan, Morenike Oluwatoyin, Fomenkov, Artem Alekseevich, Force, Lisa M., Fornari, Carla, Foroutan, Masoud, Fox, Jack T., Francis, Joel Msafiri, Frank, Tahvi D., Franklin, Richard Charles, Freitas, Marisa, Fu, Weijia, Fukumoto, Takeshi, Fukutaki, Kai, Fuller, John E., Fullman, Nancy, Furtado, Joao M., Gad, Mohamed M., Gaidhane, Abhay Motiramji, Gakidou, Emmanuela, Galles, Natalie C., Gallus, Silvano, Gamkrelidze, Amiran, Garcia-Basteiro, Alberto L., Gardner, William M., Geberemariyam, Biniyam Sahiledengle, Gebrehiwot, Abiyu Mekonnen, Gebremedhin, Ketema Bizuwork, Gebremeskel, Gebreamlak Gebremedhn, Gebremeskel, Leake G., Gebresillassie, Begashaw Melaku, Gebreslassie, Assefa Ayalew Ayalew Ayalew, Geramo, Yilma Chisha Dea, Geremew, Abraham, Hayoon, Anna Gershberg, Gesesew, Hailay Abrha, Gething, Peter W., Gezae, Kebede Embaye, Ghadimi, Maryam, Ghadiri, Keyghobad, Ghaffarifar, Fatemeh, Ghafourifard, Mansour, Ghajar, Alireza, Ghamari, Farhad, Ghashghaee, Ahmad, Ghiasvand, Hesam, Ghith, Nermin, Gholamian, Asadollah, Ghosh, Rakesh, Giampaoli, Simona, Gilani, Syed Amir, Gill, Paramjit Singh, Gill, Tiffany K., Gillum, Richard F., Ginawi, Ibrahim Abdelmageed, Ginindza, Themba G., Gitimoghaddam, Mojgan, Giussani, Giorgia, Glagn, Mustefa, Glushkova, Ekaterina Vladimirovna, Gnedovskaya, Elena V., Godinho, Myron Anthony, Goharinezhad, Salime, Golechha, Mahaveer, Goli, Srinivas, Gomez, Ricardo Santiago, Gona, Philimon N., Gopalani, Sameer Vali, Goren, Emily, Gorini, Giuseppe, Gorman, Taren M., Gottlich, Harrison Chase, Goudarzi, Houman, Goudarzian, Amir Hossein, Goulart, Alessandra C., Goulart, Barbara Niegia Garcia, Grada, Ayman, Greaves, Felix, Grivna, Michal, Grosso, Giuseppe, Gubari, Mohammed Ibrahim Mohialdeen, Gudi, Nachiket, Gugnani, Harish Chander, Guimaraes, Andre Luiz Sena, Guimaraes, Rafael Alves, Guled, Rashid Abdi, Gultie, Teklemariam, Guo, Gaorui, Guo, Yuming, Gupta, Rahul, Gupta, Rajeev, Sharan, Subodh, Gupta, Tarun, Haagsma, Juanita A., Hachinski, Vladimir, Haddock, Beatrix, Hafezi-Nejad, Nima, Hafiz, Abdul, Hagins, Hailey, Haile, Lydia M., Haile, Teklehaimanot Gereziher, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hall, Brian J., Halvaei, Iman, Hamadeh, Randah R., Abdullah, Kanaan Hamagharib, Hameed, Sajid, Hamidi, Samer, Hamilton, Erin B., Hammer, Melanie S., Han, Chieh, Han, Hannah, Handiso, Demelash Woldeyohannes, Hanif, Asif, Hankey, Graeme J., Haririan, Hamidreza, Haro, Josep Maria, Harvey, James D., Hasaballah, Ahmed I., Hasan, Md Mehedi, Hasanpoor, Edris, Hasanzadeh, Amir, Hashemian, Maryam, Hashi, Abdiwahab, Hassan, Amr, Hassan, Shoaib, Hassanipour, Soheil, Hassankhani, Hadi, Havmoeller, Rasmus J., Hay, Roderick J., Hay, Simon I., Hayat, Khezar, Heibati, Behzad, Heidari, Behnam, Heidari, Golnaz, Heidari-Soureshjani, Reza, Hendrie, Delia, Henny, Kiana, Henok, Andualem, Henrikson, Hannah J., Henry, Nathaniel J., Herbert, Molly E., Herteliu, Claudiu, Heydarpour, Fatemeh, Hird, Thomas R., Ho, Hung Chak, Hoek, Hans W., Hole, Michael K., Holla, Ramesh, Hollingsworth, Bruce, Hoogar, Praveen, Hopf, Kathleen Pillsbury, Horita, Nobuyuki, Hosgood, H. Dean, Hossain, Naznin, Hosseini, Mostafa, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Househ, Mowafa, Hoy, Damian G., Hsairi, Mohamed, Hsiao, Thomas, Hsieh, Vivian Chia-Rong, Hu, Guoqing, Hu, Kejia, Huda, Tanvir M., Hugo, Fernando N., Humayun, Ayesha, Hussain, Rabia, Huynh, Chantal K., Hwang, Bing-Fang, Iannucci, Vincent C., Iavicoli, Ivo, Ibeneme, Charles Ugochukwu, Ibitoye, Segun Emmanuel, Ikeda, Nayu, Ikuta, Kevin S., Ilesanmi, Olayinka Stephen, Ilic, Irena M., Ilic, Milena D., Imani-Nasab, Mohammad Hasan, Inbaraj, Leeberk Raja, Ippolito, Helen, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Irvine, Caleb Mackay Salpeter, Islam, M. Mofizul, Islam, MdMohaimenul, Islam, Sheikh Mohammed Shariful, Islami, Farhad, Iso, Hiroyasu, Ivers, Rebecca Q., Iwu, Chidozie C. D., Iwu, Chinwe Juliana, Iyamu, Ihoghosa Osamuyi, Jaafari, Jalil, Jacobsen, Kathryn H., Jadidi-Niaragh, Farhad, Jafari, Hussain, Jafarinia, Morteza, Jahagirdar, Deepa, Jahani, Mohammad Ali, Jahanmehr, Nader, Jakovljevic, Mihajlo, Jalali, Amir, Jalilian, Farzad, James, Spencer L., Janjani, Hosna, Janodia, Manthan Dilipkumar, Javaheri, Tahereh, Javidnia, Javad, Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jenabi, Ensiyeh, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S., Jia, Peng, Johansson, Lars, John, Oommen, John-Akinola, Yetunde O., Johnson, Catherine Owens, Johnson, Sarah Charlotte, Jonas, Jost B., Joo, Tamas, Joshi, Ankur, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Jurisson, Mikk, Kabir, Ali, Kabir, Zubair, Kalani, Hamed, Kalani, Rizwan, Kalankesh, Leila R., Kalhor, Rohollah, Kamath, Aruna M., Kamiab, Zahra, Kanchan, Tanuj, Kapoor, Neeti, Matin, Behzad Karami, Karanikolos, Marina, Karch, Andre, Karim, Mohd Anisul, Karimi, Salah Eddin, Karimi, Seyed Asaad, Karimi, Seyed M., Kasa, Ayele Semachew, Kassa, Getachew Mullu, Kassebaum, Nicholas J., Katikireddi, Srinivasa Vittal, Kawakami, Norito, Kayode, Gbenga A., Karyani, Ali Kazemi, Keddie, Suzanne H., Keiyoro, Peter Njenga, Keller, Cathleen, Kemmer, Laura, Kendrick, Parkes J., Kereselidze, Maia, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khalid, Nauman, Khammarnia, Mohammad, Khan, Ejaz Ahmad, Khan, Gulfaraz, Khan, Maseer, Khang, Young-Ho, Khatab, Khaled, Khater, Amir M., Khater, Mona M., Khatib, Mahalaqua Nazli, Khayamzadeh, Maryam, Khazaei, Salman, Khazaie, Habibolah, Khodayari, Mohammad Taghi, Khoja, Abdullah T., Khubchandani, Jagdish, Khundkar, Roba, Kianipour, Neda, Kieling, Christian, Kim, Cho-Il, Kim, Daniel, Kim, Young-Eun, Kim, Yun Jin, Kimokoti, Ruth W., Kinfu, Yohannes, Kisa, Adnan, Kisa, Sezer, Kissimova-Skarbek, Katarzyna, Kissoon, Niranjan, Kivimaki, Mika, Kneib, Cameron J., Knibbs, Luke D., Knight, Megan, Knudsen, Ann Kristin Skrindo, Kocarnik, Jonathan M., Kochhar, Sonali, Koh, David S. Q., Kohler, Stefan, Kolola, Tufa, Komaki, Hamidreza, Kopec, Jacek A., Korotkova, Anna V., Korshunov, Vladimir Andreevich, Kosen, Soewarta, Kotlo, Anirudh, Koul, Parvaiz A., Koyanagi, Ai, Kraemer, Moritz U. G., Kravchenko, Michael A., Krishan, Kewal, Krohn, Kris J., Kromhout, Hans, Shaji, K. S., Defo, Barthelemy Kuate, Bicer, Burcu Kucuk, Kugbey, Nuworza, Kulkarni, Vaman, Kumar, G. Anil, Kumar, Manasi, Kumar, Nithin, Kumar, Pushpendra, Kumar, Vivek, Kumaresh, Girikumar, Kurmi, Om P., Kusuma, Dian, Kyu, Hmwe Hmwe, La Vecchia, Carlo, Lacey, Ben, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lallukka, Tea, Lam, Jennifer O., Lami, Faris Hasan, Lan, Qing, Landires, Ivan, Lang, Justin J., Langan, Sinead M., Lansingh, Van Charles, Lansky, Sonia, Larson, Heidi Jane, Larson, Samantha Leigh, Larsson, Anders, Lasrado, Savita, Lassi, Zohra S., Lau, Kathryn Mei-Ming, Lauriola, Paolo, Lavados, Pablo M., Lazarus, Jeffrey V., Leal, Lisiane F., Leasher, Janet L., Ledesma, Jorge R., Lee, Paul H., Lee, Shaun Wen Huey, Leever, Andrew T., LeGrand, Kate E., Leigh, James, Leonardi, Matilde, Lescinsky, Haley, Leung, Janni, Levi, Miriam, Lewington, Sarah, Li, Bingyu, Li, Shanshan, Lim, Lee-Ling, Lin, Christine, Lin, Ro-Ting, Linehan, Christine, Linn, Shai, Listl, Stefan, Liu, Hung-Chun, Liu, Shiwei, Liu, Simin, Liu, Xuefeng, Liu, Yang, Liu, Zichen, Lo, Justin, Lodha, Rakesh, Logroscino, Giancarlo, Looker, Katharine J., Lopez, Alan D., Lopez, Jaifred Christian F., Lopukhov, Platon D., Lorkowski, Stefan, Lotufo, Paulo A., Lozano, Rafael, Lu, Alton, Lucas, Tim C. D., Lugo, Alessandra, Lunevicius, Raimundas, Lyons, Ronan A., Ma, Jianing, Machado, Daiane Borges, MacLachlan, Jennifer H., Madadin, Mohammed, Maddison, Emilie R., Maddison, Ralph, Madotto, Fabiana, Abd El Razek, Hassan Magdy, Abd El Razek, Muhammed Magdy, Mahasha, Phetole Walter, Mahdavi, Mokhtar Mahdavi, Mahmoudi, Morteza, Mai, Hue Thi, Majeed, Azeem, Malagon-Rojas, Jeadran N., Maled, Venkatesh, Maleki, Afshin, Maleki, Shokofeh, Malekzadeh, Reza, Malta, Deborah Carvalho, Mamun, Abdullah A., Manafi, Amir, Manafi, Navid, Manda, Ana Laura, Manguerra, Helena, Mansour-Ghanaei, Fariborz, Mansouri, Borhan, Mansournia, Mohammad Ali, Herrera, Ana M. Mantilla, Mapoma, Chabila Christopher, Maravilla, Joemer C., Marks, Ashley, Martin, Randall V., Martini, Santi, Martins-Melo, Francisco Rogerlandio, Martopullo, Ira, Masaka, Anthony, Masoumi, Seyedeh Zahra, Massano, Joao, Massenburg, Benjamin Ballard, Mastrogiacomo, Claudia I., Mathur, Manu Raj, Matsushita, Kunihiro, Maulik, Pallab K., May, Erin A., Mazidi, Mohsen, McAlinden, Colm, McGrath, John J., Mckee, Martin, Medina-Solis, Carlo Eduardo, Meharie, Birhanu Geta, Mehndiratta, Man Mohan, Nasab, Entezar Mehrabi, Mehri, Fereshteh, Mehrotra, Ravi, Mehta, Kala M., Meitei, Wahengbam Bigyananda, Mekonnen, Teferi, Melese, Addisu, Memiah, Peter T. N., Memish, Ziad A., Mendoza, Walter, Menezes, Ritesh G., Mengesha, Endalkachew Worku, Mengesha, Meresa Berwo, Mensah, George A., Mereke, Alibek, Mereta, Seid Tiku, Meretoja, Atte, Meretoja, Tuomo J., Mestrovic, Tomislav, Miazgowski, Bartosz, Miazgowski, Tomasz, Michalek, Irmina Maria, Mihretie, Kebadnew Mulatu, Miller, Ted R., Mills, Edward J., Milne, George J., Mini, G. K., Miri, Mohammad, Mirica, Andreea, Mirrakhimov, Erkin M., Mirzaei, Hamed, Mirzaei, Maryam, Mirzaei, Roya, Mirzaei-Alavijeh, Mehdi, Misganaw, Awoke Temesgen, Mitchell, Philip B., Mithra, Prasanna, Moazen, Babak, Moghadaszadeh, Masoud, Mohajer, Bahram, Mohamad, Osama, Mohamadi, Efat, Mohammad, Dara K., Mohammad, Yousef, Mezerji, Naser Mohammad Gholi, Mohammadbeigi, Abolfazl, Mohammadian-Hafshejani, Abdollah, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohammed, Ammas Siraj, Mohammed, Hussen, Mohammed, Jemal Abdu, Mohammed, Shafiu, Mohebi, Farnam, Bandpei, Mohammad A. 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M., Zlavog, Bianca S., Zodpey, Sanjay, Lim, Stephen S., and Murray, Christopher J. L.

Abstract

In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the post

Published
2020
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35. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019:a systematic analysis for the Global Burden of Disease Study 2019

Author

Vos, Theo, Lim, Stephen S, Abbafati, Cristiana, Abbas, Kaja M, Abbasi, Mohammad, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahi, Mohammad, Abdollahpour, Ibrahim, Abolhassani, Hassan, Aboyans, Victor, Abrams, Elissa M, Abreu, Lucas Guimarães, Abrigo, Michael R M, Abu-Raddad, Laith Jamal, Abushouk, Abdelrahman I, Acebedo, Alyssa, Ackerman, Ilana N, Adabi, Maryam, Adamu, Abdu A, Adebayo, Oladimeji M, Adekanmbi, Victor, Adelson, Jaimie D, Adetokunboh, Olatunji O, Adham, Davoud, Afshari, Mahdi, Afshin, Ashkan, Agardh, Emilie E, Agarwal, Gina, Agesa, Kareha M, Aghaali, Mohammad, Aghamir, Seyed Mohammad Kazem, Agrawal, Anurag, Ahmad, Tauseef, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmadpour, Ehsan, Akalu, Temesgen Yihunie, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akombi, Blessing, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Samiah, Alam, Tahiya, Alanzi, Turki M, Albertson, Samuel B, Alcalde-Rabanal, Jacqueline Elizabeth, Alema, Niguse Meles, Ali, Muhammad, Ali, Saqib, Alicandro, Gianfranco, Alijanzadeh, Mehran, Alinia, Cyrus, Alipour, Vahid, Aljunid, Syed Mohamed, Alla, François, Allebeck, Peter, Almasi-Hashiani, Amir, Alonso, Jordi, Al-Raddadi, Rajaa M, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J, Amini, Saeed, Amini-Rarani, Mostafa, Aminorroaya, Arya, Amiri, Fatemeh, Amit, Arianna Maever L, Amugsi, Dickson A, Amul, Gianna Gayle Herrera, Anderlini, Deanna, Andrei, Catalina Liliana, Andrei, Tudorel, Anjomshoa, Mina, Ansari, Fereshteh, Ansari, Iman, Ansari-Moghaddam, Alireza, Antonio, Carl Abelardo T, Antony, Catherine M, Antriyandarti, Ernoiz, Anvari, Davood, Anwer, Razique, Arabloo, Jalal, Arab-Zozani, Morteza, Aravkin, Aleksandr Y, Ariani, Filippo, Ärnlöv, Johan, Aryal, Krishna K, Arzani, Afsaneh, Asadi-Aliabadi, Mehran, Asadi-Pooya, Ali A, Asghari, Babak, Ashbaugh, Charlie, Atnafu, Desta Debalkie, Atre, Sachin R, Ausloos, Floriane, Ausloos, Marcel, Quintanilla, Beatriz Paulina Ayala, Ayano, Getinet, Ayanore, Martin Amogre, Aynalem, Yared Asmare, Azari, Samad, Azarian, Ghasem, Azene, Zelalem Nigussie, Babaee, Ebrahim, Badawi, Alaa, Bagherzadeh, Mojtaba, Bakhshaei, Mohammad Hossein, Bakhtiari, Ahad, Balakrishnan, Senthilkumar, Balalla, Shivanthi, Balassyano, Shelly, Banach, Maciej, Banik, Palash Chandra, Bannick, Marlena S, Bante, Agegnehu Bante, Baraki, Adhanom Gebreegziabher, Barboza, Miguel A, Barker-Collo, Suzanne Lyn, Barthelemy, Celine M, Barua, Lingkan, Barzegar, Akbar, Basu, Sanjay, Baune, Bernhard T, Bayati, Mohsen, Bazmandegan, Gholamreza, Bedi, Neeraj, Beghi, Ettore, Béjot, Yannick, Bello, Aminu K, Bender, Rose G, Bennett, Derrick A, Bennitt, Fiona B, Bensenor, Isabela M, Benziger, Catherine P, Berhe, Kidanemaryam, Bernabe, Eduardo, Bertolacci, Gregory J, Bhageerathy, Reshmi, Bhala, Neeraj, Bhandari, Dinesh, Bhardwaj, Pankaj, Bhattacharyya, Krittika, Bhutta, Zulfiqar A, Bibi, Sadia, Biehl, Molly H, Bikbov, Boris, Sayeed, Muhammad 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Alemayehu, Zhang, Yunquan, Zhang, Zhi-Jiang, Zhao, Jeff T, Zhao, Yingxi, Zheng, Peng, Zhou, Maigeng, Ziapour, Arash, Zimsen, Stephanie R M, Naghavi, Mohsen, and Murray, Christopher J L

Abstract

Background In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th a

Published
2020

36. The Ecological Structure of Mosquito Population Seasonal Dynamics

Author

Whittaker, Charles, primary, Winskill, Peter, additional, Sinka, Marianne, additional, Pironon, Samuel, additional, Massey, Claire, additional, Weiss, Daniel J, additional, Nguyen, Michele, additional, Gething, Peter W, additional, Kumar, Ashwani, additional, Ghani, Azra, additional, and Bhatt, Samir, additional

Published
2021
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37. Order Matters: The Benefits of Ordinal Fragility Curves for Damage and Loss Estimation.

Author

Nguyen, Michele and Lallemant, David

Subjects
NEPAL Earthquake, 2015, CUMULATIVE distribution function, PROBABILITY measures, LOGNORMAL distribution
Abstract

Probabilistic loss assessments from natural hazards require the quantification of structural vulnerability. Building damage data can be used to estimate fragility curves to obtain realistic descriptions of the relationship between a hazard intensity measure and the probability of exceeding certain damage grades. Fragility curves based on the lognormal cumulative distribution function are popular because of their empirical performance as well as theoretical properties. When we are interested in estimating exceedance probabilities for multiple damage grades, these are usually derived per damage grade via separate probit regressions. However, they can also be obtained simultaneously through an ordinal model which treats the damage grades as ordered and related instead of nominal and distinct. When we use nominal models, a collapse fragility curve is constructed by treating data of "near‐collapse" and "no damage" the same: as data of noncollapse. This leads to a loss of information. Using synthetic data as well as real‐life data from the 2015 Nepal earthquake, we provide one of the first formal demonstrations of multiple advantages of the ordinal model over the nominal approach. We show that modeling the ordering of damage grades explicitly through an ordinal model leads to higher sensitivity to the data, parsimony and a lower risk of overfitting, noncrossing fragility curves, and lower associated uncertainty. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
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38. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Author

Vos, Theo, primary, Lim, Stephen S, additional, Abbafati, Cristiana, additional, Abbas, Kaja M, additional, Abbasi, Mohammad, additional, Abbasifard, Mitra, additional, Abbasi-Kangevari, Mohsen, additional, Abbastabar, Hedayat, additional, Abd-Allah, Foad, additional, Abdelalim, Ahmed, additional, Abdollahi, Mohammad, additional, Abdollahpour, Ibrahim, additional, Abolhassani, Hassan, additional, Aboyans, Victor, additional, Abrams, Elissa M, additional, Abreu, Lucas Guimarães, additional, Abrigo, Michael R M, additional, Abu-Raddad, Laith Jamal, additional, Abushouk, Abdelrahman I, additional, Acebedo, Alyssa, additional, Ackerman, Ilana N, additional, Adabi, Maryam, additional, Adamu, Abdu A, additional, Adebayo, Oladimeji M, additional, Adekanmbi, Victor, additional, Adelson, Jaimie D, additional, Adetokunboh, Olatunji O, additional, Adham, Davoud, additional, Afshari, Mahdi, additional, Afshin, Ashkan, additional, Agardh, Emilie E, additional, Agarwal, Gina, additional, Agesa, Kareha M, additional, Aghaali, Mohammad, additional, Aghamir, Seyed Mohammad Kazem, additional, Agrawal, Anurag, additional, Ahmad, Tauseef, additional, Ahmadi, Alireza, additional, Ahmadi, Mehdi, additional, Ahmadieh, Hamid, additional, Ahmadpour, Ehsan, additional, Akalu, Temesgen Yihunie, additional, Akinyemi, Rufus Olusola, additional, Akinyemiju, Tomi, additional, Akombi, Blessing, additional, Al-Aly, Ziyad, additional, Alam, Khurshid, additional, Alam, Noore, additional, Alam, Samiah, additional, Alam, Tahiya, additional, Alanzi, Turki M, additional, Albertson, Samuel B, additional, Alcalde-Rabanal, Jacqueline Elizabeth, additional, Alema, Niguse Meles, additional, Ali, Muhammad, additional, Ali, Saqib, additional, Alicandro, Gianfranco, additional, Alijanzadeh, Mehran, additional, Alinia, Cyrus, additional, Alipour, Vahid, additional, Aljunid, Syed Mohamed, additional, Alla, François, additional, Allebeck, Peter, additional, Almasi-Hashiani, Amir, additional, Alonso, Jordi, additional, Al-Raddadi, Rajaa M, additional, Altirkawi, Khalid A, additional, Alvis-Guzman, Nelson, additional, Alvis-Zakzuk, Nelson J, additional, Amini, Saeed, additional, Amini-Rarani, Mostafa, additional, Aminorroaya, Arya, additional, Amiri, Fatemeh, additional, Amit, Arianna Maever L, additional, Amugsi, Dickson A, additional, Amul, Gianna Gayle Herrera, additional, Anderlini, Deanna, additional, Andrei, Catalina Liliana, additional, Andrei, Tudorel, additional, Anjomshoa, Mina, additional, Ansari, Fereshteh, additional, Ansari, Iman, additional, Ansari-Moghaddam, Alireza, additional, Antonio, Carl Abelardo T, additional, Antony, Catherine M, additional, Antriyandarti, Ernoiz, additional, Anvari, Davood, additional, Anwer, Razique, additional, Arabloo, Jalal, additional, Arab-Zozani, Morteza, additional, Aravkin, Aleksandr Y, additional, Ariani, Filippo, additional, Ärnlöv, Johan, additional, Aryal, Krishna K, additional, Arzani, Afsaneh, additional, Asadi-Aliabadi, Mehran, additional, Asadi-Pooya, Ali A, additional, Asghari, Babak, additional, Ashbaugh, Charlie, additional, Atnafu, Desta Debalkie, additional, Atre, Sachin R, additional, Ausloos, Floriane, additional, Ausloos, Marcel, additional, Ayala Quintanilla, Beatriz Paulina, additional, Ayano, Getinet, additional, Ayanore, Martin Amogre, additional, Aynalem, Yared Asmare, additional, Azari, Samad, additional, Azarian, Ghasem, additional, Azene, Zelalem Nigussie, additional, Babaee, Ebrahim, additional, Badawi, Alaa, additional, Bagherzadeh, Mojtaba, additional, Bakhshaei, Mohammad Hossein, additional, Bakhtiari, Ahad, additional, Balakrishnan, Senthilkumar, additional, Balalla, Shivanthi, additional, Balassyano, Shelly, additional, Banach, Maciej, additional, Banik, Palash Chandra, additional, Bannick, Marlena S, additional, Bante, Agegnehu Bante, additional, Baraki, Adhanom Gebreegziabher, additional, Barboza, Miguel A, additional, Barker-Collo, Suzanne Lyn, additional, Barthelemy, Celine M, additional, Barua, Lingkan, additional, Barzegar, Akbar, additional, Basu, Sanjay, additional, Baune, Bernhard T, additional, Bayati, Mohsen, additional, Bazmandegan, Gholamreza, additional, Bedi, Neeraj, additional, Beghi, Ettore, additional, Béjot, Yannick, additional, Bello, Aminu K, additional, Bender, Rose G, additional, Bennett, Derrick A, additional, Bennitt, Fiona B, additional, Bensenor, Isabela M, additional, Benziger, Catherine P, additional, Berhe, Kidanemaryam, additional, Bernabe, Eduardo, additional, Bertolacci, Gregory J, additional, Bhageerathy, Reshmi, additional, Bhala, Neeraj, additional, Bhandari, Dinesh, additional, Bhardwaj, Pankaj, additional, Bhattacharyya, Krittika, additional, Bhutta, Zulfiqar A, additional, Bibi, Sadia, additional, Biehl, Molly H, additional, Bikbov, Boris, additional, Bin Sayeed, Muhammad Shahdaat, additional, Biondi, Antonio, additional, Birihane, Binyam Minuye, additional, Bisanzio, Donal, additional, Bisignano, Catherine, additional, Biswas, Raaj Kishore, additional, Bohlouli, Somayeh, additional, Bohluli, Mehdi, additional, Bolla, Srinivasa Rao Rao, additional, Boloor, Archith, additional, Boon-Dooley, Alexandra S, additional, Borges, Guilherme, additional, Borzì, Antonio Maria, additional, Bourne, Rupert, additional, Brady, Oliver J, additional, Brauer, Michael, additional, Brayne, Carol, additional, Breitborde, Nicholas J K, additional, Brenner, Hermann, additional, Briant, Paul Svitil, additional, Briggs, Andrew M, additional, Briko, Nikolay Ivanovich, additional, Britton, Gabrielle B, additional, Bryazka, Dana, additional, Buchbinder, Rachelle, additional, Bumgarner, Blair R, additional, Busse, Reinhard, additional, Butt, Zahid A, additional, Caetano dos Santos, Florentino Luciano, additional, Cámera, Luis LA Alberto, additional, Campos-Nonato, Ismael R, additional, Car, Josip, additional, Cárdenas, Rosario, additional, Carreras, Giulia, additional, Carrero, Juan J, additional, Carvalho, Felix, additional, Castaldelli-Maia, Joao Mauricio, additional, Castañeda-Orjuela, Carlos A, additional, Castelpietra, Giulio, additional, Castle, Chris D, additional, Castro, Franz, additional, Catalá-López, Ferrán, additional, Causey, Kate, additional, Cederroth, Christopher R, additional, Cercy, Kelly M, additional, Cerin, Ester, additional, Chandan, Joht Singh, additional, Chang, Alex R, additional, Charlson, Fiona J, additional, Chattu, Vijay Kumar, additional, Chaturvedi, Sarika, additional, Chimed-Ochir, Odgerel, additional, Chin, Ken Lee, additional, Cho, Daniel Youngwhan, additional, Christensen, Hanne, additional, Chu, Dinh-Toi, additional, Chung, Michael T, additional, Cicuttini, Flavia M, additional, Ciobanu, Liliana G, additional, Cirillo, Massimo, additional, Collins, Emma L, additional, Compton, Kelly, additional, Conti, Sara, additional, Cortesi, Paolo Angelo, additional, Costa, Vera Marisa, additional, Cousin, Ewerton, additional, Cowden, Richard G, additional, Cowie, Benjamin C, additional, Cromwell, Elizabeth A, additional, Cross, Di H, additional, Crowe, Christopher Stephen, additional, Cruz, Jessica A, additional, Cunningham, Matthew, additional, Dahlawi, Saad M A, additional, Damiani, Giovanni, additional, Dandona, Lalit, additional, Dandona, Rakhi, additional, Darwesh, Aso Mohammad, additional, Daryani, Ahmad, additional, Das, Jai K, additional, Das Gupta, Rajat, additional, das Neves, José, additional, Dávila-Cervantes, Claudio Alberto, additional, Davletov, Kairat, additional, De Leo, Diego, additional, Dean, Frances E, additional, DeCleene, Nicole K, additional, Deen, Amanda, additional, Degenhardt, Louisa, additional, Dellavalle, Robert Paul, additional, Demeke, Feleke Mekonnen, additional, Demsie, Desalegn Getnet, additional, Denova-Gutiérrez, Edgar, additional, Dereje, Nebiyu Dereje, additional, Dervenis, Nikolaos, additional, Desai, Rupak, additional, Desalew, Assefa, additional, Dessie, Getenet Ayalew, additional, Dharmaratne, Samath Dhamminda, additional, Dhungana, Govinda Prasad, additional, Dianatinasab, Mostafa, additional, Diaz, Daniel, additional, Dibaji Forooshani, Zahra Sadat, additional, Dingels, Zachary V, additional, Dirac, M Ashworth, additional, Djalalinia, Shirin, additional, Do, Hoa Thi, additional, Dokova, Klara, additional, Dorostkar, Fariba, additional, Doshi, Chirag P, additional, Doshmangir, Leila, additional, Douiri, Abdel, additional, Doxey, Matthew C, additional, Driscoll, Tim Robert, additional, Dunachie, Susanna J, additional, Duncan, Bruce B, additional, Duraes, Andre Rodrigues, additional, Eagan, Arielle Wilder, additional, Ebrahimi Kalan, Mohammad, additional, Edvardsson, David, additional, Ehrlich, Joshua R, additional, El Nahas, Nevine, additional, El Sayed, Iman, additional, El Tantawi, Maha, additional, Elbarazi, Iffat, additional, Elgendy, Islam Y, additional, Elhabashy, Hala Rashad, additional, El-Jaafary, Shaimaa I, additional, Elyazar, Iqbal RF, additional, Emamian, Mohammad Hassan, additional, Emmons-Bell, Sophia, additional, Erskine, Holly E, additional, Eshrati, Babak, additional, Eskandarieh, Sharareh, additional, Esmaeilnejad, Saman, additional, Esmaeilzadeh, Firooz, additional, Esteghamati, Alireza, additional, Estep, Kara, additional, Etemadi, Arash, additional, Etisso, Atkilt Esaiyas, additional, Farahmand, Mohammad, additional, Faraj, Anwar, additional, Fareed, Mohammad, additional, Faridnia, Roghiyeh, additional, Farinha, Carla Sofia e Sá, additional, Farioli, Andrea, additional, Faro, Andre, additional, Faruque, Mithila, additional, Farzadfar, Farshad, additional, Fattahi, Nazir, additional, Fazlzadeh, Mehdi, additional, Feigin, Valery L, additional, Feldman, Rachel, additional, Fereshtehnejad, Seyed-Mohammad, additional, Fernandes, Eduarda, additional, Ferrari, Alize J, additional, Ferreira, Manuela L, additional, Filip, Irina, additional, Fischer, Florian, additional, Fisher, James L, additional, Fitzgerald, Ryan, additional, Flohr, Carsten, additional, Flor, Luisa Sorio, additional, Foigt, Nataliya A, additional, Folayan, Morenike Oluwatoyin, additional, Force, Lisa M, additional, Fornari, Carla, additional, Foroutan, Masoud, additional, Fox, Jack T, additional, Freitas, Marisa, additional, Fu, Weijia, additional, Fukumoto, Takeshi, additional, Furtado, João M, additional, Gad, Mohamed M, additional, Gakidou, Emmanuela, additional, Galles, Natalie C, additional, Gallus, Silvano, additional, Gamkrelidze, Amiran, additional, Garcia-Basteiro, Alberto L, additional, Gardner, William M, additional, Geberemariyam, Biniyam Sahiledengle, additional, Gebrehiwot, Abiyu Mekonnen, additional, Gebremedhin, Ketema Bizuwork, additional, Gebreslassie, Assefa Ayalew Ayalew Ayalew, additional, Gershberg Hayoon, Anna, additional, Gething, Peter W, additional, Ghadimi, Maryam, additional, Ghadiri, Keyghobad, additional, Ghafourifard, Mansour, additional, Ghajar, Alireza, additional, Ghamari, Farhad, additional, Ghashghaee, Ahmad, additional, Ghiasvand, Hesam, additional, Ghith, Nermin, additional, Gholamian, Asadollah, additional, Gilani, Syed Amir, additional, Gill, Paramjit Singh, additional, Gitimoghaddam, Mojgan, additional, Giussani, Giorgia, additional, Goli, Srinivas, additional, Gomez, Ricardo Santiago, additional, Gopalani, Sameer Vali, additional, Gorini, Giuseppe, additional, Gorman, Taren M, additional, Gottlich, Harrison Chase, additional, Goudarzi, Houman, additional, Goulart, Alessandra C, additional, Goulart, Bárbara Niegia Garcia, additional, Grada, Ayman, additional, Grivna, Michal, additional, Grosso, Giuseppe, additional, Gubari, Mohammed Ibrahim Mohialdeen, additional, Gugnani, Harish Chander, additional, Guimaraes, Andre Luiz Sena, additional, Guimarães, Rafael Alves, additional, Guled, Rashid Abdi, additional, Guo, Gaorui, additional, Guo, Yuming, additional, Gupta, Rajeev, additional, Haagsma, Juanita A, additional, Haddock, Beatrix, additional, Hafezi-Nejad, Nima, additional, Hafiz, Abdul, additional, Hagins, Hailey, additional, Haile, Lydia M, additional, Hall, Brian J, additional, Halvaei, Iman, additional, Hamadeh, Randah R, additional, Hamagharib Abdullah, Kanaan, additional, Hamilton, Erin B, additional, Han, Chieh, additional, Han, Hannah, additional, Hankey, Graeme J, additional, Haro, Josep Maria, additional, Harvey, James D, additional, Hasaballah, Ahmed I, additional, Hasanzadeh, Amir, additional, Hashemian, Maryam, additional, Hassanipour, Soheil, additional, Hassankhani, Hadi, additional, Havmoeller, Rasmus J, additional, Hay, Roderick J, additional, Hay, Simon I, additional, Hayat, Khezar, additional, Heidari, Behnam, additional, Heidari, Golnaz, additional, Heidari-Soureshjani, Reza, additional, Hendrie, Delia, additional, Henrikson, Hannah J, additional, Henry, Nathaniel J, additional, Herteliu, Claudiu, additional, Heydarpour, Fatemeh, additional, Hird, Thomas R, additional, Hoek, Hans W, additional, Hole, Michael K, additional, Holla, Ramesh, additional, Hoogar, Praveen, additional, Hosgood, H Dean, additional, Hosseinzadeh, Mehdi, additional, Hostiuc, Mihaela, additional, Hostiuc, Sorin, additional, Househ, Mowafa, additional, Hoy, Damian G, additional, Hsairi, Mohamed, additional, Hsieh, Vivian Chia-rong, additional, Hu, Guoqing, additional, Huda, Tanvir M, additional, Hugo, Fernando N, additional, Huynh, Chantal K, additional, Hwang, Bing-Fang, additional, Iannucci, Vincent C, additional, Ibitoye, Segun Emmanuel, additional, Ikuta, Kevin S, additional, Ilesanmi, Olayinka Stephen, additional, Ilic, Irena M, additional, Ilic, Milena D, additional, Inbaraj, Leeberk Raja, additional, Ippolito, Helen, additional, Irvani, Seyed Sina Naghibi, additional, Islam, M Mofizul, additional, Islam, MdMohaimenul, additional, Islam, Sheikh Mohammed Shariful, additional, Islami, Farhad, additional, Iso, Hiroyasu, additional, Ivers, Rebecca Q, additional, Iwu, Chidozie C D, additional, Iyamu, Ihoghosa Osamuyi, additional, Jaafari, Jalil, additional, Jacobsen, Kathryn H, additional, Jadidi-Niaragh, Farhad, additional, Jafari, Hussain, additional, Jafarinia, Morteza, additional, Jahagirdar, Deepa, additional, Jahani, Mohammad Ali, additional, Jahanmehr, Nader, additional, Jakovljevic, Mihajlo, additional, Jalali, Amir, additional, Jalilian, Farzad, additional, James, Spencer L, additional, Janjani, Hosna, additional, Janodia, Manthan Dilipkumar, additional, Jayatilleke, Achala Upendra, additional, Jeemon, Panniyammakal, additional, Jenabi, Ensiyeh, additional, Jha, Ravi Prakash, additional, Jha, Vivekanand, additional, Ji, John S, additional, Jia, Peng, additional, John, Oommen, additional, John-Akinola, Yetunde O, additional, Johnson, Catherine Owens, additional, Johnson, Sarah Charlotte, additional, Jonas, Jost B, additional, Joo, Tamas, additional, Joshi, Ankur, additional, Jozwiak, Jacek Jerzy, additional, Jürisson, Mikk, additional, Kabir, Ali, additional, Kabir, Zubair, additional, Kalani, Hamed, additional, Kalani, Rizwan, additional, Kalankesh, Leila R, additional, Kalhor, Rohollah, additional, Kamiab, Zahra, additional, Kanchan, Tanuj, additional, Karami Matin, Behzad, additional, Karch, André, additional, Karim, Mohd Anisul, additional, Karimi, Salah Eddin, additional, Kassa, Getachew Mullu, additional, Kassebaum, Nicholas J, additional, Katikireddi, Srinivasa Vittal, additional, Kawakami, Norito, additional, Kayode, Gbenga A, additional, Keddie, Suzanne H, additional, Keller, Cathleen, additional, Kereselidze, Maia, additional, Khafaie, Morteza Abdullatif, additional, Khalid, Nauman, additional, Khan, Maseer, additional, Khatab, Khaled, additional, Khater, Mona M, additional, Khatib, Mahalaqua Nazli, additional, Khayamzadeh, Maryam, additional, Khodayari, Mohammad Taghi, additional, Khundkar, Roba, additional, Kianipour, Neda, additional, Kieling, Christian, additional, Kim, Daniel, additional, Kim, Young-Eun, additional, Kim, Yun Jin, additional, Kimokoti, Ruth W, additional, Kisa, Adnan, additional, Kisa, Sezer, additional, Kissimova-Skarbek, Katarzyna, additional, Kivimäki, Mika, additional, Kneib, Cameron J, additional, Knudsen, Ann Kristin Skrindo, additional, Kocarnik, Jonathan M, additional, Kolola, Tufa, additional, Kopec, Jacek A, additional, Kosen, Soewarta, additional, Koul, Parvaiz A, additional, Koyanagi, Ai, additional, Kravchenko, Michael A, additional, Krishan, Kewal, additional, Krohn, Kris J, additional, Kuate Defo, Barthelemy, additional, Kucuk Bicer, Burcu, additional, Kumar, G Anil, additional, Kumar, Manasi, additional, Kumar, Pushpendra, additional, Kumar, Vivek, additional, Kumaresh, Girikumar, additional, Kurmi, Om P, additional, Kusuma, Dian, additional, Kyu, Hmwe Hmwe, additional, La Vecchia, Carlo, additional, Lacey, Ben, additional, Lal, Dharmesh Kumar, additional, Lalloo, Ratilal, additional, Lam, Jennifer O, additional, Lami, Faris Hasan, additional, Landires, Iván, additional, Lang, Justin J, additional, Lansingh, Van Charles, additional, Larson, Samantha Leigh, additional, Larsson, Anders O, additional, Lasrado, Savita, additional, Lassi, Zohra S, additional, Lau, Kathryn Mei-Ming, additional, Lavados, Pablo M, additional, Lazarus, Jeffrey V, additional, Ledesma, Jorge R, additional, Lee, Paul H, additional, Lee, Shaun Wen Huey, additional, LeGrand, Kate E, additional, Leigh, James, additional, Leonardi, Matilde, additional, Lescinsky, Haley, additional, Leung, Janni, additional, Levi, Miriam, additional, Lewington, Sarah, additional, Li, Shanshan, additional, Lim, Lee-Ling, additional, Lin, Christine, additional, Lin, Ro-Ting, additional, Linehan, Christine, additional, Linn, Shai, additional, Liu, Hung-Chun, additional, Liu, Shiwei, additional, Liu, Zichen, additional, Looker, Katharine J, additional, Lopez, Alan D, additional, Lopukhov, Platon D, additional, Lorkowski, Stefan, additional, Lotufo, Paulo A, additional, Lucas, Tim C D, additional, Lugo, Alessandra, additional, Lunevicius, Raimundas, additional, Lyons, Ronan A, additional, Ma, Jianing, additional, MacLachlan, Jennifer H, additional, Maddison, Emilie R, additional, Maddison, Ralph, additional, Madotto, Fabiana, additional, Mahasha, Phetole Walter, additional, Mai, Hue Thi, additional, Majeed, Azeem, additional, Maled, Venkatesh, additional, Maleki, Shokofeh, additional, Malekzadeh, Reza, additional, Malta, Deborah Carvalho, additional, Mamun, Abdullah A, additional, Manafi, Amir, additional, Manafi, Navid, additional, Manguerra, Helena, additional, Mansouri, Borhan, additional, Mansournia, Mohammad Ali, additional, Mantilla Herrera, Ana M, additional, Maravilla, Joemer C, additional, Marks, Ashley, additional, Martins-Melo, Francisco Rogerlândio, additional, Martopullo, Ira, additional, Masoumi, Seyedeh Zahra, additional, Massano, João, additional, Massenburg, Benjamin Ballard, additional, Mathur, Manu Raj, additional, Maulik, Pallab K, additional, McAlinden, Colm, additional, McGrath, John J, additional, McKee, Martin, additional, Mehndiratta, Man Mohan, additional, Mehri, Fereshteh, additional, Mehta, Kala M, additional, Meitei, Wahengbam Bigyananda, additional, Memiah, Peter T N, additional, Mendoza, Walter, additional, Menezes, Ritesh G, additional, Mengesha, Endalkachew Worku, additional, Mengesha, Meresa Berwo, additional, Mereke, Alibek, additional, Meretoja, Atte, additional, Meretoja, Tuomo J, additional, Mestrovic, Tomislav, additional, Miazgowski, Bartosz, additional, Miazgowski, Tomasz, additional, Michalek, Irmina Maria, additional, Mihretie, Kebadnew Mulatu, additional, Miller, Ted R, additional, Mills, Edward J, additional, Mirica, Andreea, additional, Mirrakhimov, Erkin M, additional, Mirzaei, Hamed, additional, Mirzaei, Maryam, additional, Mirzaei-Alavijeh, Mehdi, additional, Misganaw, Awoke Temesgen, additional, Mithra, Prasanna, additional, Moazen, Babak, additional, Moghadaszadeh, Masoud, additional, Mohamadi, Efat, additional, Mohammad, Dara K, additional, Mohammad, Yousef, additional, Mohammad Gholi Mezerji, Naser, additional, Mohammadian-Hafshejani, Abdollah, additional, Mohammadifard, Noushin, additional, Mohammadpourhodki, Reza, additional, Mohammed, Shafiu, additional, Mokdad, Ali H, additional, Molokhia, Mariam, additional, Momen, Natalie C, additional, Monasta, Lorenzo, additional, Mondello, Stefania, additional, Mooney, Meghan D, additional, Moosazadeh, Mahmood, additional, Moradi, Ghobad, additional, Moradi, Masoud, additional, Moradi-Lakeh, Maziar, additional, Moradzadeh, Rahmatollah, additional, Moraga, Paula, additional, Morales, Linda, additional, Morawska, Lidia, additional, Moreno Velásquez, Ilais, additional, Morgado-da-Costa, Joana, additional, Morrison, Shane Douglas, additional, Mosser, Jonathan F, additional, Mouodi, Simin, additional, Mousavi, Seyyed Meysam, additional, Mousavi Khaneghah, Amin, additional, Mueller, Ulrich Otto, additional, Munro, Sandra B, additional, Muriithi, Moses K, additional, Musa, Kamarul Imran, additional, Muthupandian, Saravanan, additional, Naderi, Mehdi, additional, Nagarajan, Ahamarshan Jayaraman, additional, Nagel, Gabriele, additional, Naghshtabrizi, Behshad, additional, Nair, Sanjeev, additional, Nandi, Anita K, additional, Nangia, Vinay, additional, Nansseu, Jobert Richie, additional, Nayak, Vinod C, additional, Nazari, Javad, additional, Negoi, Ionut, additional, Negoi, Ruxandra Irina, additional, Netsere, Henok Biresaw Netsere, additional, Ngunjiri, Josephine W, additional, Nguyen, Cuong Tat, additional, Nguyen, Jason, additional, Nguyen, Michele, additional, Nguyen, Minh, additional, Nichols, Emma, additional, Nigatu, Dabere, additional, Nigatu, Yeshambel T, additional, Nikbakhsh, Rajan, additional, Nixon, Molly R, additional, Nnaji, Chukwudi A, additional, Nomura, Shuhei, additional, Norrving, Bo, additional, Noubiap, Jean Jacques, additional, Nowak, Christoph, additional, Nunez-Samudio, Virginia, additional, Oţoiu, Adrian, additional, Oancea, Bogdan, additional, Odell, Christopher M, additional, Ogbo, Felix Akpojene, additional, Oh, In-Hwan, additional, Okunga, Emmanuel Wandera, additional, Oladnabi, Morteza, additional, Olagunju, Andrew T, additional, Olusanya, Bolajoko Olubukunola, additional, Olusanya, Jacob Olusegun, additional, Oluwasanu, Mojisola Morenike, additional, Omar Bali, Ahmed, additional, Omer, Muktar Omer, additional, Ong, Kanyin L, additional, Onwujekwe, Obinna E, additional, Orji, Aislyn U, additional, Orpana, Heather M, additional, Ortiz, Alberto, additional, Ostroff, Samuel M, additional, Otstavnov, Nikita, additional, Otstavnov, Stanislav S, additional, Øverland, Simon, additional, Owolabi, Mayowa O, additional, P A, Mahesh, additional, Padubidri, Jagadish Rao, additional, Pakhare, Abhijit P, additional, Palladino, Raffaele, additional, Pana, Adrian, additional, Panda-Jonas, Songhomitra, additional, Pandey, Anamika, additional, Park, Eun-Kee, additional, Parmar, Priya G Kumari, additional, Pasupula, Deepak Kumar, additional, Patel, Sangram Kishor, additional, Paternina-Caicedo, Angel J, additional, Pathak, Ashish, additional, Pathak, Mona, additional, Patten, Scott B, additional, Patton, George C, additional, Paudel, Deepak, additional, Pazoki Toroudi, Hamidreza, additional, Peden, Amy E, additional, Pennini, Alyssa, additional, Pepito, Veincent Christian Filipino, additional, Peprah, Emmanuel K, additional, Pereira, Alexandre, additional, Pereira, David M, additional, Perico, Norberto, additional, Pham, Hai Quang, additional, Phillips, Michael R, additional, Pigott, David M, additional, Pilgrim, Thomas, additional, Pilz, Tessa M, additional, Pirsaheb, Meghdad, additional, Plana-Ripoll, Oleguer, additional, Plass, Dietrich, additional, Pokhrel, Khem Narayan, additional, Polibin, Roman V, additional, Polinder, Suzanne, additional, Polkinghorne, Kevan R, additional, Postma, Maarten J, additional, Pourjafar, Hadi, additional, Pourmalek, Farshad, additional, Pourmirza Kalhori, Reza, additional, Pourshams, Akram, additional, Poznańska, Anna, additional, Prada, Sergio I, additional, Prakash, V, additional, Pribadi, Dimas Ria Angga, additional, Pupillo, Elisabetta, additional, Quazi Syed, Zahiruddin, additional, Rabiee, Mohammad, additional, Rabiee, Navid, additional, Radfar, Amir, additional, Rafiee, Ata, additional, Rafiei, Alireza, additional, Raggi, Alberto, additional, Rahimi-Movaghar, Afarin, additional, Rahman, Muhammad Aziz, additional, Rajabpour-Sanati, Ali, additional, Rajati, Fatemeh, additional, Ramezanzadeh, Kiana, additional, Ranabhat, Chhabi Lal, additional, Rao, Puja C, additional, Rao, Sowmya J, additional, Rasella, Davide, additional, Rastogi, Prateek, additional, Rathi, Priya, additional, Rawaf, David Laith, additional, Rawaf, Salman, additional, Rawal, Lal, additional, Razo, Christian, additional, Redford, Sofia Boston, additional, Reiner, Robert C, additional, Reinig, Nickolas, additional, Reitsma, Marissa Bettay, additional, Remuzzi, Giuseppe, additional, Renjith, Vishnu, additional, Renzaho, Andre M N, additional, Resnikoff, Serge, additional, Rezaei, Nima, additional, Rezai, Mohammad sadegh, additional, Rezapour, Aziz, additional, Rhinehart, Phoebe-Anne, additional, Riahi, Seyed Mohammad, additional, Ribeiro, Antonio Luiz P, additional, Ribeiro, Daniel Cury, additional, Ribeiro, Daniela, additional, Rickard, Jennifer, additional, Roberts, Nicholas L S, additional, Roberts, Shaun, additional, Robinson, Stephen R, additional, Roever, Leonardo, additional, Rolfe, Sam, additional, Ronfani, Luca, additional, Roshandel, Gholamreza, additional, Roth, Gregory A, additional, Rubagotti, Enrico, additional, Rumisha, Susan Fred, additional, Sabour, Siamak, additional, Sachdev, Perminder S, additional, Saddik, Basema, additional, Sadeghi, Ehsan, additional, Sadeghi, Masoumeh, additional, Saeidi, Shahram, additional, Safi, Sare, additional, Safiri, Saeid, additional, Sagar, Rajesh, additional, Sahebkar, Amirhossein, additional, Sahraian, Mohammad Ali, additional, Sajadi, S Mohammad, additional, Salahshoor, Mohammad Reza, additional, Salamati, Payman, additional, Salehi Zahabi, Saleh, additional, Salem, Hosni, additional, Salem, Marwa R Rashad, additional, Salimzadeh, Hamideh, additional, Salomon, Joshua A, additional, Salz, Inbal, additional, Samad, Zainab, additional, Samy, Abdallah M, additional, Sanabria, Juan, additional, Santomauro, Damian Francesco, additional, Santos, Itamar S, additional, Santos, João Vasco, additional, Santric-Milicevic, Milena M, additional, Saraswathy, Sivan Yegnanarayana Iyer, additional, Sarmiento-Suárez, Rodrigo, additional, Sarrafzadegan, Nizal, additional, Sartorius, Benn, additional, Sarveazad, Arash, additional, Sathian, Brijesh, additional, Sathish, Thirunavukkarasu, additional, Sattin, Davide, additional, Sbarra, Alyssa N, additional, Schaeffer, Lauren E, additional, Schiavolin, Silvia, additional, Schmidt, Maria Inês, additional, Schutte, Aletta Elisabeth, additional, Schwebel, David C, additional, Schwendicke, Falk, additional, Senbeta, Anbissa Muleta, additional, Senthilkumaran, Subramanian, additional, Sepanlou, Sadaf G, additional, Shackelford, Katya Anne, additional, Shadid, Jamileh, additional, Shahabi, Saeed, additional, Shaheen, Amira A, additional, Shaikh, Masood Ali, additional, Shalash, Ali S, additional, Shams-Beyranvand, Mehran, additional, Shamsizadeh, Morteza, additional, Shannawaz, Mohammed, additional, Sharafi, Kiomars, additional, Sharara, Fablina, additional, Sheena, Brittney S, additional, Sheikhtaheri, Abbas, additional, Shetty, Ranjitha S, additional, Shibuya, Kenji, additional, Shiferaw, Wondimeneh Shibabaw, additional, Shigematsu, Mika, additional, Shin, Jae Il, additional, Shiri, Rahman, additional, Shirkoohi, Reza, additional, Shrime, Mark G, additional, Shuval, Kerem, additional, Siabani, Soraya, additional, Sigfusdottir, Inga Dora, additional, Sigurvinsdottir, Rannveig, additional, Silva, João Pedro, additional, Simpson, Kyle E, additional, Singh, Ambrish, additional, Singh, Jasvinder A, additional, Skiadaresi, Eirini, additional, Skou, Søren T, additional, Skryabin, Valentin Yurievich, additional, Sobngwi, Eugene, additional, Sokhan, Anton, additional, Soltani, Shahin, additional, Sorensen, Reed J D, additional, Soriano, Joan B, additional, Sorrie, Muluken Bekele, additional, Soyiri, Ireneous N, additional, Sreeramareddy, Chandrashekhar T, additional, Stanaway, Jeffrey D, additional, Stark, Benjamin A, additional, Ştefan, Simona Cătălina, additional, Stein, Caroline, additional, Steiner, Caitlyn, additional, Steiner, Timothy J, additional, Stokes, Mark A, additional, Stovner, Lars Jacob, additional, Stubbs, Jacob L, additional, Sudaryanto, Agus, additional, Sufiyan, Mu'awiyyah Babale, additional, Sulo, Gerhard, additional, Sultan, Iyad, additional, Sykes, Bryan L, additional, Sylte, Dillon O, additional, Szócska, Miklós, additional, Tabarés-Seisdedos, Rafael, additional, Tabb, Karen M, additional, Tadakamadla, Santosh Kumar, additional, Taherkhani, 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Wolfe, Charles D A, additional, Wool, Eve E, additional, Wu, Ai-Min, additional, Wulf Hanson, Sarah, additional, Wunrow, Han Yong, additional, Xu, Gelin, additional, Xu, Rixing, additional, Yadgir, Simon, additional, Yahyazadeh Jabbari, Seyed Hossein, additional, Yamagishi, Kazumasa, additional, Yaminfirooz, Mousa, additional, Yano, Yuichiro, additional, Yaya, Sanni, additional, Yazdi-Feyzabadi, Vahid, additional, Yearwood, Jamal A, additional, Yeheyis, Tomas Y, additional, Yeshitila, Yordanos Gizachew, additional, Yip, Paul, additional, Yonemoto, Naohiro, additional, Yoon, Seok-Jun, additional, Yoosefi Lebni, Javad, additional, Younis, Mustafa Z, additional, Younker, Theodore Patrick, additional, Yousefi, Zabihollah, additional, Yousefifard, Mahmoud, additional, Yousefinezhadi, Taraneh, additional, Yousuf, Abdilahi Yousuf, additional, Yu, Chuanhua, additional, Yusefzadeh, Hasan, additional, Zahirian Moghadam, Telma, additional, Zaki, Leila, additional, Zaman, Sojib Bin, additional, Zamani, Mohammad, additional, Zamanian, Maryam, additional, Zandian, Hamed, additional, Zangeneh, Alireza, additional, Zastrozhin, Mikhail Sergeevich, additional, Zewdie, Kaleab Alemayehu, additional, Zhang, Yunquan, additional, Zhang, Zhi-Jiang, additional, Zhao, Jeff T, additional, Zhao, Yingxi, additional, Zheng, Peng, additional, Zhou, Maigeng, additional, Ziapour, Arash, additional, Zimsen, Stephanie R M, additional, Naghavi, Mohsen, additional, and Murray, Christopher J L, additional

Published
2020
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39. Mapping malaria by sharing spatial information between incidence and prevalence datasets

Author

Lucas, Tim C.D., primary, Nandi, Anita K., additional, Chestnutt, Elisabeth G., additional, Twohig, Katherine A., additional, Keddie, Suzanne H., additional, Collins, Emma L., additional, Howes, Rosalind E., additional, Nguyen, Michele, additional, Rumisha, Susan F., additional, Python, Andre, additional, Arambepola, Rohan, additional, Bertozzi-Villa, Amelia, additional, Hancock, Penelope, additional, Amratia, Punam, additional, Battle, Katherine E., additional, Cameron, Ewan, additional, Gething, Peter W., additional, and Weiss, Daniel J., additional

Published
2020
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40. Emergence and Targeting of Acquired and Hereditary Resistance to Multikinase RET Inhibition in Patients With RET-Altered Cancer

Author

Wirth, Lori J., primary, Kohno, Takashi, additional, Udagawa, Hibiki, additional, Matsumoto, Shingo, additional, Ishii, Genichiro, additional, Ebata, Kevin, additional, Tuch, Brian B., additional, Zhu, Edward Y., additional, Nguyen, Michele, additional, Smith, Steve, additional, Hanson, Lauren M., additional, Burkard, Michael R., additional, Cable, LouAnn, additional, Blake, James F., additional, Condroski, Kevin R., additional, Brandhuber, Barbara J., additional, Andrews, Steve, additional, Rothenberg, S. Michael, additional, and Goto, Koichi, additional

Published
2019
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41. Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author

Dicker, Daniel, Nguyen, Grant, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abdurahman, Ahmed Abdulahi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abebo, Teshome Abuka, Aboyans, Victor, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Pawan, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Agrawal, Anurag, Ahmadi, Mehdi, Ahmadi, Alireza, Ahmadieh, Hamid, Ahmed, Mohamed Lemine Cheikh brahim, Ahmed, Sayem, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alebel, Animut, Aleman, Alicia V, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine A, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Anlay, Degefaye Zelalem, Ansari, Hossein, Ansariadi, Ansariadi, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw, Aremu, Olatunde, Areri, Habtamu Abera, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna K, Asadi-Lari, Mohsen, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Asgedom, Solomon Weldegebreal, Assadi, Reza, Ataro, Zerihun, Atey, Tesfay Mehari Mehari, Athari, Seyyed Shamsadin, Atique, Suleman, Atre, Sachin R, Atteraya, Madhu Sudhan, Attia, Engi F, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide F G A, Awasthi, Ashish, Awuah, Baffour, Ayala Quintanilla, Beatriz Paulina, Ayele, Henok Tadesse, Ayele, Yohanes, Ayer, Rakesh, Ayuk, Tambe B, Azzopardi, Peter S, Azzopardi-Muscat, Natasha, Badali, Hamid, Badawi, Alaa, Balakrishnan, Kalpana, Bali, Ayele Geleto, Banach, Maciej, Banstola, Amrit, Barac, Aleksandra, Barboza, Miguel A, Barquera, Simon, Barrero, Lope H, Basaleem, Huda, Bassat, Quique, Basu, Arindam, Basu, Sanjay, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Bekele, Bayu Begashaw, Belachew, Abate Bekele, Belay, Aregawi Gebreyesus, Belay, Ezra, Belay, Saba Abraham, Belay, Yihalem Abebe, Bell, Michelle L, Bello, Aminu K, Bennett, Derrick A, Bensenor, Isabela M, Berhane, Adugnaw, Berman, Adam E, Bernabe, Eduardo, Bernstein, Robert S, Bertolacci, Gregory J, Beuran, Mircea, Beyranvand, Tina, Bhala, Neeraj, Bhatia, Eesh, Bhatt, Samir, Bhattarai, Suraj, Bhaumik, Soumyadeeep, Bhutta, Zulfiqar A, Biadgo, Belete, Bijani, Ali, Bikbov, Boris, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Birlik, Sait Mentes, Birungi, Charles, Bisanzio, Donal, Biswas, Tuhin, Bjørge, Tone, Bleyer, Archie, Basara, Berrak Bora, Bose, Dipan, Bosetti, Cristina, Boufous, Soufiane, Bourne, Rupert, Brady, Oliver J, Bragazzi, Nicola Luigi, Brant, Luisa C, Brazinova, Alexandra, Breitborde, Nicholas J K, Brenner, Hermann, Britton, Gabrielle, Brugha, Traolach, Burke, Kristin E, Busse, Reinhard, Butt, Zahid A, Cahuana-Hurtado, Lucero, Callender, Charlton S K H, Campos-Nonato, Ismael R, Campuzano Rincon, Julio Cesar, Cano, Jorge, Car, Mate, Cárdenas, Rosario, Carreras, Giulia, Carrero, Juan J, Carter, Austin, Carvalho, Félix, Castañeda-Orjuela, Carlos A, Castillo Rivas, Jacqueline, Castro, Franz, Catalá-López, Ferrán, Çavlin, Alanur, Cerin, Ester, Chaiah, Yazan, Champs, Ana Paula, Chang, Hsing-Yi, Chang, Jung-Chen, Chattopadhyay, Aparajita, Chaturvedi, Pankaj, Chen, Wanqing, Chiang, Peggy Pei-Chia, Chimed-Ochir, Odgerel, Chin, Ken Lee, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal, Choi, Jee-Young J, Christensen, Hanne, Christopher, Devasahayam J, Chung, Sheng-Chia, Cicuttini, Flavia M, Ciobanu, Liliana G, Cirillo, Massimo, Claro, Rafael M, Cohen, Aaron J, Collado-Mateo, Daniel, Constantin, Maria-Magdalena, Conti, Sara, Cooper, Cyrus, Cooper, Leslie Trumbull, Cortesi, Paolo Angelo, Cortinovis, Monica, Cousin, Ewerton, Criqui, Michael H, Cromwell, Elizabeth A, Crowe, Christopher Stephen, Crump, John A, Cucu, Alexandra, Cunningham, Matthew, Daba, Alemneh Kabeta, Dachew, Berihun Assefa, Dadi, Abel Fekadu, Dandona, Lalit, Dandona, Rakhi, Dang, Anh Kim, Dargan, Paul I, Daryani, Ahmad, Das, Siddharth K, Das Gupta, Rajat, das Neves, José, Dasa, Tamirat Tesfaye, Dash, Aditya Prasad, Weaver, Nicole Davis, Davitoiu, Dragos Virgil, Davletov, Kairat, Dayama, Anand, Courten, Barbora de, De la Hoz, Fernando Pio, De leo, Diego, De Neve, Jan-Walter, Degefa, Meaza Girma, Degenhardt, Louisa, Degfie, Tizta T, Deiparine, Selina, Dellavalle, Robert P, Demoz, Gebre Teklemariam, Demtsu, Balem Betsu, Denova-Gutiérrez, Edgar, Deribe, Kebede, Dervenis, Nikolaos, Des Jarlais, Don C, Dessie, Getenet Ayalew, Dey, Subhojit, Dharmaratne, Samath Dhamminda, Dhimal, Meghnath, Ding, Eric L, Djalalinia, Shirin, Doku, David Teye, Dolan, Kate A, Donnelly, Christl A, Dorsey, E Ray, Douwes-Schultz, Dirk, Doyle, Kerrie E, Drake, Thomas M, Driscoll, Tim Robert, Dubey, Manisha, Dubljanin, Eleonora, Duken, Eyasu Ejeta, Duncan, Bruce B, Duraes, Andre R, Ebrahimi, Hedyeh, Ebrahimpour, Soheil, Edessa, Dumessa, Edvardsson, David, Eggen, Anne Elise, El Bcheraoui, Charbel, El Sayed Zaki, Maysaa, Elfaramawi, Mohammed, El-Khatib, Ziad, Ellingsen, Christian Lycke, Elyazar, Iqbal R F, Enayati, Ahmadali, Endries, Aman Yesuf Yesuf, Er, Benjamin, Ermakov, Sergey Petrovich, Eshrati, Babak, Eskandarieh, Sharareh, Esmaeili, Reza, Esteghamati, Alireza, Esteghamati, Sadaf, Fakhar, Mahdi, Fakhim, Hamed, Farag, Tamer, Faramarzi, Mahbobeh, Fareed, Mohammad, Farhadi, Farzaneh, Farid, Talha A, Farinha, Carla Sofia e Sá, Farioli, Andrea, Faro, Andre, Farvid, Maryam S, Farzadfar, Farshad, Farzaei, Mohammad Hosein, Fazeli, Mir Sohail, Feigin, Valery L, Feigl, Andrea B, Feizy, Fariba, Fentahun, Netsanet, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Fernandes, Joao C, Feyissa, Garumma Tolu, Fijabi, Daniel Obadare, Filip, Irina, Finegold, Samuel, Fischer, Florian, Flor, Luisa Sorio, Foigt, Nataliya A, Ford, John A, Foreman, Kyle J, Fornari, Carla, Frank, Tahvi D, Franklin, Richard Charles, Fukumoto, Takeshi, Fuller, John E, Fullman, Nancy, Fürst, Thomas, Furtado, João M, Futran, Neal D, Galan, Adriana, Gallus, Silvano, Gambashidze, Ketevan, Gamkrelidze, Amiran, Gankpe, Fortune Gbetoho, Garcia-Basteiro, Alberto L, Garcia-Gordillo, Miguel A, Gebre, Teshome, Gebre, Abadi Kahsu, Gebregergs, Gebremedhin Berhe, Gebrehiwot, Tsegaye Tewelde, Gebremedhin, Amanuel Tesfay, Gelano, Tilayie Feto, Gelaw, Yalemzewod Assefa, Geleijnse, Johanna M, Genova-Maleras, Ricard, Gessner, Bradford D, Getachew, Sefonias, Gething, Peter W, Gezae, Kebede Embaye, Ghadami, Mohammad Rasoul, Ghadimi, Reza, Ghasemi Falavarjani, Khalil, Ghasemi-Kasman, Maryam, Ghiasvand, Hesam, Ghimire, Mamata, Ghoshal, Aloke Gopal, Gill, Paramjit Singh, Gill, Tiffany K, Gillum, Richard F, Giussani, Giorgia, Goenka, Shifalika, Goli, Srinivas, Gomez, Ricardo Santiago, Gomez-Cabrera, Mari Carmen, Gómez-Dantés, Hector, Gona, Philimon N, Goodridge, Amador, Gopalani, Sameer Vali, Goto, Atsushi, Goulart, Alessandra C, Goulart, Bárbara Niegia Garcia, Grada, Ayman, Grosso, Giuseppe, Gugnani, Harish Chander, Guimaraes, Andre Luiz Sena, Guo, Yuming, Gupta, Prakash C, Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Gyawali, Bishal, Haagsma, Juanita A, Hachinski, Vladimir, Hafezi-Nejad, Nima, Hagos, Tekleberhan B, Hailegiyorgis, Tewodros Tesfa, Hailu, Gessessew Bugssa, Haj-Mirzaian, Arya, Haj-Mirzaian, Arvin, Hamadeh, Randah R, Hamidi, Samer, Handal, Alexis J, Hankey, Graeme J, Harb, Hilda L, Harikrishnan, Sivadasanpillai, Haririan, Hamidreza, Haro, Josep Maria, Hasan, Mehedi, Hassankhani, Hadi, Hassen, Hamid Yimam, Havmoeller, Rasmus, Hay, Roderick J, Hay, Simon I, He, Yihua, Hedayatizadeh-Omran, Akbar, Hegazy, Mohamed I, Heibati, Behzad, Heidari, Mohsen, Hendrie, Delia, Henok, Andualem, Henry, Nathaniel J, Heredia-Pi, Ileana, Herteliu, Claudiu, Heydarpour, Fatemeh, Heydarpour, Pouria, Heydarpour, Sousan, Hibstu, Desalegn Tsegaw, Hoek, Hans W, Hole, Michael K, Homaie Rad, Enayatollah, Hoogar, Praveen, Horino, Masako, Hosgood, H Dean, Hosseini, Seyed Mostafa, Hosseinzadeh, Mehdi, Hostiuc, Sorin, Hostiuc, Mihaela, Hotez, Peter J, Hoy, Damian G, Hsairi, Mohamed, Htet, Aung Soe, Hu, Guoqing, Huang, John J, Husseini, Abdullatif, Hussen, Mohammedaman Mama, Hutfless, Susan, Iburg, Kim Moesgaard, Igumbor, Ehimario U, Ikeda, Chad Thomas, Ilesanmi, Olayinka Stephen, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Isehunwa, Oluwaseyi Oluwakemi, Islam, Sheikh Mohammed Shariful, Islami, Farhad, Jahangiry, Leila, Jahanmehr, Nader, Jain, Rajesh, Jain, Sudhir Kumar, Jakovljevic, Mihajlo, James, Spencer L, Javanbakht, Mehdi, Jayaraman, Sudha, Jayatilleke, Achala Upendra, Jee, Sun Ha, Jeemon, Panniyammakal, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S, Johnson, Sarah Charlotte, Jonas, Jost B, Joshi, Ankur, Jozwiak, Jacek Jerzy, Jungari, Suresh Banayya, Jürisson, Mikk, K, Madhanraj, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kahssay, Molla, Kalani, Rizwan, Kapil, Umesh, Karami, Manoochehr, Karami Matin, Behzad, Karch, André, Karema, Corine, Karimi, Narges, Karimi, Seyed M, Karimi-Sari, Hamidreza, Kasaeian, Amir, Kassa, Getachew Mullu, Kassa, Tesfaye Dessale, Kassa, Zemenu Yohannes, Kassebaum, Nicholas J, Katibeh, Marzieh, Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Kazemeini, Hossein, Kazemi, Zhila, Karyani, Ali Kazemi, K C, Prakash, Kebede, Seifu, Keiyoro, Peter Njenga, Kemp, Grant Rodgers, Kengne, Andre Pascal, Keren, Andre, Kereselidze, Maia, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khajavi, Alireza, Khalid, Nauman, Khalil, Ibrahim A, Khan, Ejaz Ahmad, Khan, Gulfaraz, Khan, Muhammad Shahzeb, Khan, Muhammad Ali, Khang, Young-Ho, Khanna, Tripti, Khater, Mona M, Khatony, Alireza, Khazaie, Habibolah, Khoja, Abdullah T, Khosravi, Ardeshir, Khosravi, Mohammad Hossein, Khubchandani, Jagdish, Kiadaliri, Aliasghar A, Kibret, Getiye D Dejenu, Kim, Cho-il, Kim, Daniel, Kim, Jun Y, Kim, Young-Eun, Kimokoti, Ruth W, Kinfu, Yohannes, Kinra, Sanjay, Kisa, Adnan, Kissimova-Skarbek, Katarzyna, Kissoon, Niranjan, Kivimäki, Mika, Kleber, Marcus E, Knibbs, Luke D, Knudsen, Ann Kristin Skrindo, Kochhar, Sonali, 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Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Roshchin, Denis O, Rostami, Ali, Rothenbacher, Dietrich, Rubagotti, Enrico, Ruhago, George Mugambage, Saadat, Soheil, Sabde, Yogesh Damodar, Sachdev, Perminder S, Saddik, Basema, Sadeghi, Ehsan, Moghaddam, Sahar Saeedi, Safari, Hosein, Safari, Yahya, Safari-Faramani, Roya, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, Haniye Sadat, Salahshoor, Mohamadreza, Salam, Nasir, Salama, Joseph S, Salamati, Payman, Saldanha, Raphael de Freita, Salimi, Yahya, Salimzadeh, Hamideh, Salz, Inbal, Sambala, Evanson Zondani, Samy, Abdallah M, Sanabria, Juan, Sanchez-Niño, Maria Dolore, Santos, Itamar S, Santos, João Vasco, Santric Milicevic, Milena M, Sao Jose, Bruno Piassi, Sardana, Mayank, Sarker, Abdur Razzaque, Sarrafzadegan, Nizal, Sartorius, Benn, Sarvi, Shahabeddin, Sathian, Brijesh, Satpathy, Maheswar, Savic, Miloje, Sawant, Arundhati R, Sawhney, Monika, Saxena, Sonia, Sayyah, Mehdi, Scaria, Vinod, Schaeffner, Elke, Schelonka, Kathryn, Schmidt, Maria Inê, Schneider, Ione J C, Schöttker, Ben, Schutte, Aletta Elisabeth, Schwebel, David C, Schwendicke, Falk, Scott, James G, Sekerija, Mario, Sepanlou, Sadaf G, Serván-Mori, Edson, Shabaninejad, Hosein, Shackelford, Katya Anne, Shafieesabet, Azadeh, Shaheen, Amira A, Shaikh, Masood Ali, Shakir, Raad A, Shams-Beyranvand, Mehran, Shamsi, MohammadBagher, Shamsizadeh, Morteza, Sharafi, Heidar, Sharafi, Kiomar, Sharif, Mehdi, Sharif-Alhoseini, Mahdi, Sharma, Meenakshi, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Sheikh, Aziz, Sheth, Kevin N, Shi, Peilin, Shibuya, Kenji, Shifa, Girma Temam, Shiferaw, Mekonnen Sisay, Shigematsu, Mika, Shiri, Rahman, Shirkoohi, Reza, Shiue, Ivy, Shokraneh, Farhad, Shrime, Mark G, Shukla, Sharvari Rahul, Si, Si, Siabani, Soraya, Siddiqi, Tariq J, Sigfusdottir, Inga Dora, Sigurvinsdottir, Rannveig, Silpakit, Nari, Silva, Diego Augusto Santo, Silva, João Pedro, Silveira, Dayane Gabriele Alve, Singam, Narayana Sarma Venkata, Singh, Jasvinder A, Singh, Virendra, Sinha, Anju Pradhan, Sinha, Dhirendra Narain, Sitas, Freddy, Skirbekk, Vegard, Sliwa, Karen, Soares Filho, Adauto Martin, Sobaih, Badr Hasan, Sobhani, Soheila, Soofi, Moslem, Soriano, Joan B, Soyiri, Ireneous N, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Srinivasan, Vinay, Srivastava, Rakesh Kumar, Starodubov, Vladimir I, Stathopoulou, Vasiliki, Steel, Nichola, Stein, Dan J, Steiner, Caitlyn, Stewart, Leo G, Stokes, Mark A, Sudaryanto, Agu, Sufiyan, Mu'awiyyah Babale, Sulo, Gerhard, Sunguya, Bruno F, Sur, Patrick John, Sutradhar, Ipsita, Sykes, Bryan L, Sylaja, P.N., Sylte, Dillon O, Szoeke, Cassandra E I, Tabarés-Seisdedos, Rafael, Tabuchi, Takahiro, Tadakamadla, Santosh Kumar, Takahashi, Ken, Tandon, Nikhil, Tassew, Aberash Abay, Tassew, Segen Gebremeskel, Tavakkoli, Mohammad, Taveira, Nuno, Tawye, Nega Yimer, Tehrani-Banihashemi, Arash, Tekalign, Tigist Gashaw, Tekle, Merhawi Gebremedhin, Temesgen, Habtamu, Temsah, Mohamad-Hani, Temsah, Omar, Terkawi, Abdullah Sulieman, Teshale, Manaye Yihune, Tessema, Belay, Teweldemedhin, Mebrahtu, Thakur, Jarnail Singh, Thankappan, Kavumpurathu Raman, Thirunavukkarasu, Sathish, Thomas, Laura Anne, Thomas, Nihal, Thrift, Amanda G, Tilahun, Binyam, To, Quyen G, Tobe-Gai, Ruoyan, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Foti, Torre, Anna E, Tortajada-Girbés, Miguel, Tovani-Palone, Marcos Roberto, Towbin, Jeffrey A, Tran, Bach Xuan, Tran, Khanh Bao, Tripathi, Suryakant, Tripathy, Srikanth Prasad, Truelsen, Thomas Clement, Truong, Nu Thi, Tsadik, Afewerki Gebremeskel, Tsilimparis, Nikolao, Tudor Car, Lorainne, Tuzcu, E Murat, Tyrovolas, Stefano, Ukwaja, Kingsley Nnanna, Ullah, Irfan, Usman, Muhammad Shariq, Uthman, Olalekan A, Uzun, Selen Begüm, Vaduganathan, Muthiah, Vaezi, Afsane, Vaidya, Gaurang, Valdez, Pascual R, Varavikova, Elena, Varughese, Santosh, Vasankari, Tommi Juhani, Vasconcelos, Ana Maria Nogale, Venketasubramanian, Narayanaswamy, Vidavalur, Ramesh, Villafaina, Santo, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vollset, Stein Emil, Vos, Theo, Vosoughi, Kia, Vujcic, Isidora S, Wagner, Gregory R, Wagnew, Fasil Wagnew Shiferaw, Waheed, Yasir, Wang, Yanping, Wang, Yuan-Pang, Wassie, Molla Mesele, Weiderpass, Elisabete, Weintraub, Robert G, Weiss, Daniel J, Weiss, Jordan, Weldegebreal, Fitsum, Weldegwergs, Kidu Gidey, Werdecker, Andrea, Westerman, Ronny, Whiteford, Harvey A, Widecka, Justyna, Widecka, Katarzyna, Wijeratne, Tissa, Winkler, Andrea Sylvia, Wiysonge, Charles Shey, Wolfe, Charles D A, Wondemagegn, Sintayehu Ambachew, Wu, Shouling, Wyper, Grant M A, Xu, Gelin, Yadav, Rajaram, Yakob, Bereket, Yamada, Tomohide, Yan, Lijing L, Yano, Yuichiro, Yaseri, Mehdi, Yasin, Yasin Jemal, Ye, Pengpeng, Yearwood, Jamal A, Yentür, Gökalp Kadri, Yeshaneh, Alex, Yimer, Ebrahim M, Yip, Paul, Yisma, Engida, Yonemoto, Naohiro, Yoon, Seok-Jun, York, Hunter W, Yotebieng, Marcel, Younis, Mustafa Z, Yousefifard, Mahmoud, Yu, Chuanhua, Zachariah, Geevar, Zadnik, Vesna, Zafar, Shamsa, Zaidi, Zoubida, Zaman, Sojib Bin, Zamani, Mohammad, Zare, Zohreh, Zeeb, Hajo, Zeleke, Mulugeta Molla, Zenebe, Zerihun Menlkalew, Zerfu, Taddese Alemu, Zhang, Kai, Zhang, Xueying, Zhou, Maigeng, Zhu, Jun, Zodpey, Sanjay, Zucker, Inbar, Zuhlke, Liesl Joanna J, Lopez, Alan D, Gakidou, Emmanuela, and Murray, Christopher J L

Subjects
Child mortality, Alnæmi, Dánartíðni, Heilsufar, GBD, Börn, Dauði, Almennar lyflækningar, Fullorðnir, General & Internal Medicine, parasitic diseases, Psychology, age-specific mortality, Estimating adult mortality, Medicine (all), HIV, 11 Medical And Health Sciences, General Medicine, All-cause mortality, humanities, Countries, Death, mortality, national, Sálfræði, Health, GBD, mortality, Human medicine, Trends
Abstract

The content is solely the responsibility of the authors and does not necessarily represent the official views of the funders. Data for this research was provided by MEASURE Evaluation, funded by the United States Agency for International Development (USAID). Views expressed do not necessarily reflect those of USAID, the US Government, or MEASURE Evaluation. The Palestinian Central Bureau of Statistics granted the researchers access to relevant data in accordance with licence no. SLN2014-3-170, after subjecting data to processing aiming to preserve the confidentiality of individual data in accordance with the General Statistics Law-2000. The researchers are solely responsible for the conclusions and inferences drawn upon available data., Background Assessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. Methods The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. Findings Globally, 18·7% (95% uncertainty interval 18·4–19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2–59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5–49·6) to 70·5 years (70·1–70·8) for men and from 52·9 years (51·7–54·0) to 75·6 years (75·3–75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5–51·7) for men in the Central African Republic to 87·6 years (86·9–88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3–238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6–42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2–5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. Interpretation This analysis of age-sex-specific mortality shows that there are remarkably complex patterns in population mortality across countries. The findings of this study highlight global successes, such as the large decline in under-5 mortality, which reflects significant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing., Research reported in this publication was supported by the Bill & Melinda Gates Foundation, the University of Melbourne, Public Health England, the Norwegian Institute of Public Health, St. Jude Children's Research Hospital, the National Institute on Aging of the National Institutes of Health (award P30AG047845), and the National Institute of Mental Health of the National Institutes of Health (award R01MH110163).

Published
2018

42. Model ensembles with different response variables for base and meta models: malaria disaggregation regression combining prevalence and incidence data

Author

Lucas, Thomas C.D., Nguyen, Michele, Rumisha, Susan F., Battle, Katherine E., Howes, Rosalind E., Hendriks, C.M.J., Python, André, Hancock, Penny, Cameron, Ewan, Gething, Peter W., and Weiss, Daniel J.

Subjects
Life Science
Abstract

Maps of infection risk are a vital tool for the elimination of malaria. Routine surveillance data of malaria case counts, often aggregated over administrative regions, is becoming more widely available and can better measure low malaria risk than prevalence surveys. However, aggregation of case counts over large, heterogeneous areas means that these data are often underpowered for learning relationships between the environment and malaria risk. A model that combines point surveys and aggregated surveillance data could have the benefits of both but must be able to account for the fact that these two data types are different malariometric units. Here, we train multiple machine learning models on point surveys and then combine the predictions from these with a geostatistical disaggregation model that uses routine surveillance data. We find that, in tests using data from Colombia and Madagascar, using a disaggregation regression model to combine predictions from machine learning models trained on point surveys improves model accuracy relative to using the environmental covariates directly.

Published
2019

43. Mapping the global prevalence, incidence, and mortality of Plasmodium falciparum, 2000–17: a spatial and temporal modelling study

Author

Weiss, Daniel J, primary, Lucas, Tim C D, additional, Nguyen, Michele, additional, Nandi, Anita K, additional, Bisanzio, Donal, additional, Battle, Katherine E, additional, Cameron, Ewan, additional, Twohig, Katherine A, additional, Pfeffer, Daniel A, additional, Rozier, Jennifer A, additional, Gibson, Harry S, additional, Rao, Puja C, additional, Casey, Daniel, additional, Bertozzi-Villa, Amelia, additional, Collins, Emma L, additional, Dalrymple, Ursula, additional, Gray, Naomi, additional, Harris, Joseph R, additional, Howes, Rosalind E, additional, Kang, Sun Yun, additional, Keddie, Suzanne H, additional, May, Daniel, additional, Rumisha, Susan, additional, Thorn, Michael P, additional, Barber, Ryan, additional, Fullman, Nancy, additional, Huynh, Chantal K, additional, Kulikoff, Xie, additional, Kutz, Michael J, additional, Lopez, Alan D, additional, Mokdad, Ali H, additional, Naghavi, Mohsen, additional, Nguyen, Grant, additional, Shackelford, Katya Anne, additional, Vos, Theo, additional, Wang, Haidong, additional, Smith, David L, additional, Lim, Stephen S, additional, Murray, Christopher J L, additional, Bhatt, Samir, additional, Hay, Simon I, additional, and Gething, Peter W, additional

Published
2019
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44. Mapping the global endemicity and clinical burden of Plasmodium vivax, 2000–17: a spatial and temporal modelling study

Author

Battle, Katherine E, primary, Lucas, Tim C D, additional, Nguyen, Michele, additional, Howes, Rosalind E, additional, Nandi, Anita K, additional, Twohig, Katherine A, additional, Pfeffer, Daniel A, additional, Cameron, Ewan, additional, Rao, Puja C, additional, Casey, Daniel, additional, Gibson, Harry S, additional, Rozier, Jennifer A, additional, Dalrymple, Ursula, additional, Keddie, Suzanne H, additional, Collins, Emma L, additional, Harris, Joseph R, additional, Guerra, Carlos A, additional, Thorn, Michael P, additional, Bisanzio, Donal, additional, Fullman, Nancy, additional, Huynh, Chantal K, additional, Kulikoff, Xie, additional, Kutz, Michael J, additional, Lopez, Alan D, additional, Mokdad, Ali H, additional, Naghavi, Mohsen, additional, Nguyen, Grant, additional, Shackelford, Katya Anne, additional, Vos, Theo, additional, Wang, Haidong, additional, Lim, Stephen S, additional, Murray, Christopher J L, additional, Price, Ric N, additional, Baird, J Kevin, additional, Smith, David L, additional, Bhatt, Samir, additional, Weiss, Daniel J, additional, Hay, Simon I, additional, and Gething, Peter W, additional

Published
2019
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45. Author response: The origins and relatedness structure of mixed infections vary with local prevalence of P. falciparum malaria

Author

Zhu, Sha Joe, primary, Hendry, Jason A, additional, Almagro-Garcia, Jacob, additional, Pearson, Richard D, additional, Amato, Roberto, additional, Miles, Alistair, additional, Weiss, Daniel J, additional, Lucas, Tim CD, additional, Nguyen, Michele, additional, Gething, Peter W, additional, Kwiatkowski, Dominic, additional, and McVean, Gil, additional

Published
2019
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46. Model ensembles with different response variables for base and meta models: malaria disaggregation regression combining prevalence and incidence data

Author

Lucas, Tim C. D., primary, Nandi, Anita, additional, Nguyen, Michele, additional, Rumisha, Susan, additional, E. Battle, Katherine, additional, E. Howes, Rosalind, additional, Hendriks, Chantal, additional, Python, Andre, additional, Hancock, Penny, additional, Cameron, Ewan, additional, Gething, Pete, additional, and Weiss, Daniel J., additional

Published
2019
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47. Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017: A systematic analysis for the Global Burden of Disease Study 2017

Author

Dicker, D, Nguyen, G, Abate, D, Abate, K, Abay, S, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdel-Rahman, O, Abdi, A, Abdollahpour, I, Abdulkader, R, Abdurahman, A, Abebe, H, Abebe, M, Abebe, Z, Abebo, T, Aboyans, V, Abraha, H, Abrham, A, Abu-Raddad, L, Abu-Rmeileh, N, Accrombessi, M, Acharya, P, Adebayo, O, Adedeji, I, Adedoyin, R, Adekanmbi, V, Adetokunboh, O, Adhena, B, Adhikari, T, Adib, M, Adou, A, Adsuar, J, Afarideh, M, Afshin, A, Agarwal, G, Aggarwal, R, Aghayan, S, Agrawal, S, Agrawal, A, Ahmadi, M, Ahmadi, A, Ahmadieh, H, Ahmed, M, Ahmed, S, Aichour, A, Aichour, I, Aichour, M, Akanda, A, Akbari, M, Akibu, M, Akinyemi, R, Akinyemiju, T, Akseer, N, Alahdab, F, Al-Aly, Z, Alam, K, Alebel, A, Aleman, A, Alene, K, Al-Eyadhy, A, Ali, R, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, S, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Alonso, J, Al-Raddadi, R, Alsharif, U, Altirkawi, K, Alvis-Guzman, N, Amare, A, Amini, E, Ammar, W, Amoako, Y, Anber, N, Andrei, C, Androudi, S, Animut, M, Anjomshoa, M, Anlay, D, Ansari, H, Ansariadi, A, Ansha, M, Antonio, C, Appiah, S, Aremu, O, Areri, H, Ärnlöv, J, Arora, M, Artaman, A, Aryal, K, Asadi-Lari, M, Asayesh, H, Asfaw, E, Asgedom, S, Assadi, R, Ataro, Z, Atey, T, Athari, S, Atique, S, Atre, S, Atteraya, M, Attia, E, Ausloos, M, Avila-Burgos, L, Avokpaho, E, Awasthi, A, Awuah, B, Ayala Quintanilla, B, Ayele, H, Ayele, Y, Ayer, R, Ayuk, T, Azzopardi, P, Azzopardi-Muscat, N, Badali, H, Badawi, A, Balakrishnan, K, Bali, A, Banach, M, Banstola, A, Barac, A, Barboza, M, Barquera, S, Barrero, L, Basaleem, H, Bassat, Q, Basu, A, Basu, S, Baune, B, Bazargan-Hejazi, S, Bedi, N, Beghi, E, Behzadifar, M, Béjot, Y, Bekele, B, Belachew, A, Belay, A, Belay, E, Belay, S, Belay, Y, Bell, M, Bello, A, Bennett, D, Bensenor, I, Berhane, A, Berman, A, Bernabe, E, Bernstein, R, Bertolacci, G, Beuran, M, Beyranvand, T, Bhala, N, Bhatia, E, Bhatt, S, Bhattarai, S, Bhaumik, S, Bhutta, Z, Biadgo, B, Bijani, A, Bikbov, B, Bililign, N, Bin Sayeed, M, Birlik, S, Birungi, C, Bisanzio, D, Biswas, T, Bjørge, T, Bleyer, A, Basara, B, Bose, D, Bosetti, C, Boufous, S, Bourne, R, Brady, O, Bragazzi, N, Brant, L, Brazinova, A, Breitborde, N, Brenner, H, Britton, G, Brugha, T, Burke, K, Busse, R, Butt, Z, Cahuana-Hurtado, L, Callender, C, Campos-Nonato, I, Campuzano Rincon, J, Cano, J, Car, M, Cárdenas, R, Carreras, G, Carrero, J, Carter, A, Carvalho, F, Castañeda-Orjuela, C, Castillo Rivas, J, Castro, F, Catalá-López, F, Çavlin, A, Cerin, E, Chaiah, Y, Champs, A, Chang, H, Chang, J, Chattopadhyay, A, Chaturvedi, P, Chen, W, Chiang, P, Chimed-Ochir, O, Chin, K, Chisumpa, V, Chitheer, A, Choi, J, Christensen, H, Christopher, D, Chung, S, Cicuttini, F, Ciobanu, L, Cirillo, M, Claro, R, Cohen, A, Collado-Mateo, D, Constantin, M, Conti, S, Cooper, C, Cooper, L, Cortesi, P, Cortinovis, M, Cousin, E, Criqui, M, Cromwell, E, Crowe, C, Crump, J, Cucu, A, Cunningham, M, Daba, A, Dachew, B, Dadi, A, Dandona, L, 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Abstract

Background: Assessments of age-specifc mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Afairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. Methods: The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specifc mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in diferent compon

Published
2018

48. Detection and clearance of RET variants in plasma cell free DNA (cfDNA) from patients (pts) treated with LOXO-292.

Author

Oxnard, Geoffrey R., primary, Drilon, Alexander E., additional, Shah, Manisha H., additional, Wirth, Lori J., additional, Bauer, Todd Michael, additional, Velcheti, Vamsidhar, additional, Lakhani, Nehal J., additional, Besse, Benjamin, additional, Park, Keunchil, additional, Patel, Jyoti D., additional, Cabanillas, Maria E., additional, Sherman, Eric Jeffrey, additional, Gordon, Kyle, additional, Smith, Steven, additional, Nguyen, Michele, additional, Zhu, Edward, additional, Rothenberg, Stephen M., additional, Ebata, Kevin, additional, Tuch, Brian Benjamin, additional, and Subbiah, Vivek, additional

Published
2018
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50. RETSolvent Front Mutations Mediate Acquired Resistance to Selective RETInhibition in RET-Driven Malignancies

Author

Solomon, Benjamin J., Tan, Lavinia, Lin, Jessica J., Wong, Stephen Q., Hollizeck, Sebastian, Ebata, Kevin, Tuch, Brian B., Yoda, Satoshi, Gainor, Justin F., Sequist, Lecia V., Oxnard, Geoffrey R., Gautschi, Oliver, Drilon, Alexander, Subbiah, Vivek, Khoo, Christine, Zhu, Edward Y., Nguyen, Michele, Henry, Dahlia, Condroski, Kevin R., Kolakowski, Gabrielle R., Gomez, Eliana, Ballard, Joshua, Metcalf, Andrew T., Blake, James F., Dawson, Sarah-Jane, Blosser, Wayne, Stancato, Louis F., Brandhuber, Barbara J., Andrews, Steve, Robinson, Bruce G., and Rothenberg, S. Michael

Abstract

Novel rearranged in transfection (RET)-specific tyrosine kinase inhibitors (TKIs) such as selpercatinib (LOXO-292) have shown unprecedented efficacy in tumors positive for RETfusions or mutations, notably RETfusion-positive NSCLC and RET-mutated medullary thyroid cancer (MTC). However, the mechanisms of resistance to these agents have not yet been described.

Published
2020
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