Erik Wetter

发表

Exploring the high-resolution mapping of gender-disaggregated development indicators

Tomas J. Bird, C. Bosco, A. Tatem, 2017, Journal of The Royal Society Interface.

Mapping poverty using mobile phone and satellite data

Xin Lu, Linus Bengtsson, Andrew J Tatem, 2017, Journal of The Royal Society Interface.

Unveiling hidden migration and mobility patterns in climate stressed regions: A longitudinal study of six million anonymous mobile phone users in Bangladesh

Xin Lu, Andrew J. Tatem, Linus Bengtsson, 2016 .

Using Mobile Phone Data to Predict the Spatial Spread of Cholera

J. Gaudart, L. Bengtsson, E. Wetter, 2015, Scientific Reports.

On the privacy-conscientious use of mobile phone data

Alex Rutherford, Miguel Luengo-Oroz, Nuria Oliver, 2018, Scientific Data.

Census-derived migration data as a tool for informing malaria elimination policy

A. Tatem, A. Le Menach, L. Bengtsson, 2016, Malaria Journal.

National identity predicts public health support during a global pandemic

Rolf A. Zwaan, William A. Cunningham, Jonathan A. Fugelsang, 2020, Nature communications.

STOCKHOLM SCHOOL OF ECONOMICS

Erik Wetter, Gunita Aivare, 2014 .

Social and moral psychology of COVID-19 across 69 countries

Rolf A. Zwaan, William A. Cunningham, Jonathan A. Fugelsang, 2023, Scientific data.

Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

Rolf A. Zwaan, Jonathan A. Fugelsang, Michael J. A. Wohl, 2022, PNAS nexus.

Approaching the Limit of Predictability in Human Mobility

Xin Lu, Andrew J. Tatem, Linus Bengtsson, 2013, Scientific Reports.

Patterns of performance in new firms : estimating the effects of absorptive capacity

E. Wetter, Erik Wetter, 2009 .

Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus

David L. Smith, C. G. Moore, Nuno R. Faria, 2019, Nature Microbiology.

Remotely measuring populations during a crisis by overlaying two data sources

Xin Lu, Andrew J. Tatem, Linus Bengtsson, 2015, International health.

National identity predicts public health support during a global pandemic

Rolf A. Zwaan, Jonathan A. Fugelsang, Michael J. A. Wohl, 2022, Nature Communications.

Assessing the Legitimacy of “Open” and “Closed” Data Partnerships for Sustainable Development

E. Wetter, M. Morsing, A. Rasche, 2019, Business & Society.

The Legitimacy of Data Partnerships for Sustainable Development

E. Wetter, M. Morsing, A. Rasche, 2018, Academy of Management Proceedings.

Publisher Correction: Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus

David L. Smith, C. G. Moore, Nuno R. Faria, 2019, Nature Microbiology.

The pipeline project : Pre-publication independent replications of a single laboratory's research pipeline

Andrei Cimpian, Fiery Cushman, Nicole Legate, 2016 .

Improving Business Failure Prediction for New Firms: Benchmarking Financial Models with Human and Social Capital

Karl Wennberg, Erik Wetter, E. Wetter, 2009, The Journal of Private Equity.

Patterns of Performance in New Firms: The Relative Effects of Potential and Realized Absorptive Capacity

E. Wetter, Frédéric Delmar, Erik Wetter, 2007 .

Detecting climate adaptation with mobile network data in Bangladesh: anomalies in communication, mobility and consumption patterns during cyclone Mahasen

Xin Lu, Andrew J. Tatem, Linus Bengtsson, 2016, Climatic Change.

Publisher Correction: Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus

David L. Smith, C. G. Moore, Nuno R. Faria, 2019, Nature Microbiology.

Population mobility reductions associated with travel restrictions during the Ebola epidemic in Sierra Leone: use of mobile phone data

Xin Lu, Caroline O Buckee, Amy Wesolowski, 2018, International journal of epidemiology.

Mathematical models for predicting human mobility in the context of infectious disease spread: introducing the impedance model

Xin Lu, Linus Bengtsson, Roch Giorgi, 2017, International Journal of Health Geographics.

On the privacy-conscientious use of mobile phone data

G. Canright, S. Gambs, Y. de Montjoye, 2018, Scientific Data.

Commentary: Containing the Ebola Outbreak - the Potential and Challenge of Mobile Network Data

A. Tatem, C. Buckee, A. Wesolowski, 2014, PLoS currents.

OP-IJEJ180096 1562..1570

Elisabeth Zu Erbach-Schoenberg, A. Tatem, C. Buckee, 2018 .

Big Data and the Well-Being of Women and Girls Applications on the Social

Marta C. González, Riccardo Di Clemente, Tomas J. Bird, 2017 .

Why do not more Swedish firms issue High Yield bonds

Erik Wetter, Kristoffer Straume, 2012 .

Data from a pre-publication independent replication initiative examining ten moral judgement effects

Andrei Cimpian, Adam Hahn, Nicole Legate, 2016, Scientific Data.

National identity predicts public health support during a global pandemic

Rolf A. Zwaan, William A. Cunningham, Jonathan A. Fugelsang, 2022, Nature Communications.

Rapid and Near Real-Time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake

Lenka Pitonakova, Xin Lu, Linus Bengtsson, 2016, PLoS currents.

Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

Rolf A. Zwaan, Jonathan A. Fugelsang, Michael J. A. Wohl, 2022 .