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An open challenge to advance probabilistic forecasting for dengue epidemics

An open challenge to advance probabilistic forecasting for dengue epidemics

by Andrew M. Hebbeler , Fengchen Liu , Justin Lessler , Anna M. Stewart-Ibarra , Sangwon Hyun , Jeffrey Shaman , David L. Swerdlow , Gao Jiang , David C. Farrow , Derek A. T. Cummings , Jeremy M. Cohen , Rita R. Colwell , Logan C. Brooks , Michael A. Johansson , Sean M. Moore , Rachel Lowe , Xi Meng , Luis Mier-y-Teran-Romero , Daniel P. Weikel , Markel García-Díez , Eloy Ortiz , Scott Dobson , Osonde A. Osoba , Jason R. Rohr , Courtney C. Murdock , Christopher M. Barker , Teresa K. Yamana , Grant Osborne , Krzysztof Sakrejda , Karyn M. Apfeldorf , Dhananjai M. Rao , Terry Moschou , Thomas Bagley , Jorge Rivero , Roni Rosenfeld , Lee Worden , Brett M. Forshey , Antarpreet Jutla , Brenda Rivera-Garcia , Marilia Sá Carvalho , Jean Paul Chretien , Marissa Poultney , Jesse E. Bell , David Manheim , Leah R. Johnson , Matthew Biggerstaff , Erhan Guven , Raffaele Vardavas , Humberto Brito , Matteo Convertino , Yang Liu , Benjamin Baugher , Evan L. Ray , Harold S. Margolis , Sadie J. Ryan , Sarah F Ackley , Jason Asher , Richard Paul , Xavier Rodó , Steven M. Babin , Matt Clay , Jason Devita , Dylan B. George , Erin A. Mordecai , Anna L. Buczak , Robert B. Gramacy , Melinda Moore , Nick Lothia

in [SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases / Artificial intelligence / Biological Sciences / Computer science / Dengue / Dengue fever / Disease / Disease Outbreaks / Econometrics / Economics / Emerging Infectious Diseases / Engineering / epidemic / Epidemics / Epidemiologic Methods / Epidemiology / forecast / Forecast skill / FOS: Clinical medicine / FOS: Economics and business / FOS: Health sciences / FOS: Mathematics / Geography / Global Impact of Arboviral Diseases / Good Health and Well Being / Health Sciences / Humans / Immunology / Incidence / Infection / Infectious disease (medical specialty) / Infectious Diseases / Management / Mathematics / Medicine / Meteorology / Modeling and Simulation / Modeling the Dynamics of COVID-19 Pandemic / Models, Statistical / Operations research / Pathology / Peru / Physical Sciences / Preparedness / Prevention / Probabilistic forecasting / Probabilistic logic / Public Health, Environmental and Occupational Health / Puerto Rico / Rare Diseases / Statistical / Vaccine Related / Variety (cybernetics) / Vector-Borne Diseases / Viral Hemorrhagic Fevers and Zoonotic Infections

2019

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An open challenge to advance probabilistic forecasting for dengue epidemics

by Andrew M. Hebbeler , Fengchen Liu , Justin Lessler , Anna M. Stewart-Ibarra , Sangwon Hyun , Jeffrey Shaman , David L. Swerdlow , Gao Jiang , David C. Farrow , Derek A. T. Cummings , Jeremy M. Cohen , Rita R. Colwell , Logan C. Brooks , Michael A. Johansson , Sean M. Moore , Rachel Lowe , Xi Meng , Luis Mier-y-Teran-Romero , Daniel P. Weikel , Markel García-Díez , Eloy Ortiz , Scott Dobson , Osonde A. Osoba , Jason R. Rohr , Courtney C. Murdock , Christopher M. Barker , Teresa K. Yamana , Grant Osborne , Krzysztof Sakrejda , Karyn M. Apfeldorf , Dhananjai M. Rao , Terry Moschou , Thomas Bagley , Jorge Rivero , Roni Rosenfeld , Lee Worden , Brett M. Forshey , Antarpreet Jutla , Brenda Rivera-Garcia , Marilia Sá Carvalho , Jean Paul Chretien , Marissa Poultney , Jesse E. Bell , David Manheim , Leah R. Johnson , Matthew Biggerstaff , Erhan Guven , Raffaele Vardavas , Humberto Brito , Matteo Convertino , Yang Liu , Benjamin Baugher , Evan L. Ray , Harold S. Margolis , Sadie J. Ryan , Sarah F Ackley , Jason Asher , Richard Paul , Xavier Rodó , Steven M. Babin , Matt Clay , Jason Devita , Dylan B. George , Erin A. Mordecai , Anna L. Buczak , Robert B. Gramacy , Melinda Moore , Nick Lothia

in [SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases / Artificial intelligence / Biological Sciences / Computer science / Dengue / Dengue fever / Disease / Disease Outbreaks / Econometrics / Economics / Emerging Infectious Diseases / Engineering / epidemic / Epidemics / Epidemiologic Methods / Epidemiology / forecast / Forecast skill / FOS: Clinical medicine / FOS: Economics and business / FOS: Health sciences / FOS: Mathematics / Geography / Global Impact of Arboviral Diseases / Good Health and Well Being / Health Sciences / Humans / Immunology / Incidence / Infection / Infectious disease (medical specialty) / Infectious Diseases / Management / Mathematics / Medicine / Meteorology / Modeling and Simulation / Modeling the Dynamics of COVID-19 Pandemic / Models, Statistical / Operations research / Pathology / Peru / Physical Sciences / Preparedness / Prevention / Probabilistic forecasting / Probabilistic logic / Public Health, Environmental and Occupational Health / Puerto Rico / Rare Diseases / Statistical / Vaccine Related / Variety (cybernetics) / Vector-Borne Diseases / Viral Hemorrhagic Fevers and Zoonotic Infections

2019

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An open challenge to advance probabilistic forecasting for dengue epidemics

An open challenge to advance probabilistic forecasting for dengue epidemics

by Andrew M. Hebbeler , Fengchen Liu , Justin Lessler , Anna M. Stewart-Ibarra , Sangwon Hyun , Jeffrey Shaman , David L. Swerdlow , Gao Jiang , David C. Farrow , Derek A. T. Cummings , Jeremy M. Cohen , Rita R. Colwell , Logan C. Brooks , Michael A. Johansson , Sean M. Moore , Rachel Lowe , Xi Meng , Luis Mier-y-Teran-Romero , Daniel P. Weikel , Markel García-Díez , Eloy Ortiz , Scott Dobson , Osonde A. Osoba , Jason R. Rohr , Courtney C. Murdock , Christopher M. Barker , Teresa K. Yamana , Grant Osborne , Krzysztof Sakrejda , Karyn M. Apfeldorf , Dhananjai M. Rao , Terry Moschou , Thomas Bagley , Jorge Rivero , Roni Rosenfeld , Lee Worden , Brett M. Forshey , Antarpreet Jutla , Brenda Rivera-Garcia , Marilia Sá Carvalho , Jean Paul Chretien , Marissa Poultney , Jesse E. Bell , David Manheim , Leah R. Johnson , Matthew Biggerstaff , Erhan Guven , Raffaele Vardavas , Humberto Brito , Matteo Convertino , Yang Liu , Benjamin Baugher , Evan L. Ray , Harold S. Margolis , Sadie J. Ryan , Sarah F Ackley , Jason Asher , Richard Paul , Xavier Rodó , Steven M. Babin , Matt Clay , Jason Devita , Dylan B. George , Erin A. Mordecai , Anna L. Buczak , Robert B. Gramacy , Melinda Moore , Nick Lothia

in [SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases / Artificial intelligence / Biological Sciences / Computer science / Dengue / Dengue fever / Disease / Disease Outbreaks / Econometrics / Economics / Emerging Infectious Diseases / Engineering / epidemic / Epidemics / Epidemiologic Methods / Epidemiology / forecast / Forecast skill / FOS: Clinical medicine / FOS: Economics and business / FOS: Health sciences / FOS: Mathematics / Geography / Global Impact of Arboviral Diseases / Good Health and Well Being / Health Sciences / Humans / Immunology / Incidence / Infection / Infectious disease (medical specialty) / Infectious Diseases / Management / Mathematics / Medicine / Meteorology / Modeling and Simulation / Modeling the Dynamics of COVID-19 Pandemic / Models, Statistical / Operations research / Pathology / Peru / Physical Sciences / Preparedness / Prevention / Probabilistic forecasting / Probabilistic logic / Public Health, Environmental and Occupational Health / Puerto Rico / Rare Diseases / Statistical / Vaccine Related / Variety (cybernetics) / Vector-Borne Diseases / Viral Hemorrhagic Fevers and Zoonotic Infections

2019

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An open challenge to advance probabilistic forecasting for dengue epidemics

Journal Article

An open challenge to advance probabilistic forecasting for dengue epidemics

Andrew M. Hebbeler,

Fengchen Liu,

Justin Lessler,

Anna M. Stewart-Ibarra,

Sangwon Hyun,

Jeffrey Shaman,

David L. Swerdlow,

Gao Jiang,

David C. Farrow,

Derek A. T. Cummings,

Jeremy M. Cohen,

Rita R. Colwell,

Logan C. Brooks,

Michael A. Johansson,

Sean M. Moore,

Rachel Lowe,

Xi Meng,

Luis Mier-y-Teran-Romero,

Daniel P. Weikel,

Markel García-Díez,

Eloy Ortiz,

Scott Dobson,

Osonde A. Osoba,

Jason R. Rohr,

Courtney C. Murdock,

Christopher M. Barker,

Teresa K. Yamana,

Grant Osborne,

Krzysztof Sakrejda,

Karyn M. Apfeldorf,

Dhananjai M. Rao,

Terry Moschou,

Thomas Bagley,

Jorge Rivero,

Roni Rosenfeld,

Lee Worden,

Brett M. Forshey,

Antarpreet Jutla,

Brenda Rivera-Garcia,

Marilia Sá Carvalho,

Jean Paul Chretien,

Marissa Poultney,

Jesse E. Bell,

David Manheim,

Leah R. Johnson,

Matthew Biggerstaff,

Erhan Guven,

Raffaele Vardavas,

Humberto Brito,

Matteo Convertino,

Yang Liu,

Benjamin Baugher,

Evan L. Ray,

Harold S. Margolis,

Sadie J. Ryan,

Sarah F Ackley,

Jason Asher,

Richard Paul,

Xavier Rodó,

Steven M. Babin,

Matt Clay,

Jason Devita,

Dylan B. George,

Erin A. Mordecai,

Anna L. Buczak,

Robert B. Gramacy,

Melinda Moore,

Nick Lothia

2019

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Publisher

Proceedings of the National Academy of Sciences

Subject

[SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases

/ Artificial intelligence

/ Biological Sciences

/ Computer science

/ Disease Outbreaks

/ Emerging Infectious Diseases

/ Epidemiologic Methods

/ Forecast skill

/ FOS: Clinical medicine

/ FOS: Economics and business

/ FOS: Health sciences

/ FOS: Mathematics

/ Global Impact of Arboviral Diseases

/ Good Health and Well Being

/ Health Sciences

/ Infectious disease (medical specialty)

/ Infectious Diseases

/ Modeling and Simulation

/ Modeling the Dynamics of COVID-19 Pandemic

/ Models, Statistical

/ Operations research

/ Physical Sciences

/ Probabilistic forecasting

/ Probabilistic logic

/ Public Health, Environmental and Occupational Health

/ Rare Diseases

/ Vaccine Related

/ Variety (cybernetics)

/ Vector-Borne Diseases

/ Viral Hemorrhagic Fevers and Zoonotic Infections

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