[HTML][HTML] AI for science: predicting infectious diseases

AP Zhao, S Li, Z Cao, PJH Hu, J Wang, Y **ang… - Journal of safety science …, 2024 - Elsevier
The global health landscape has been persistently challenged by the emergence and re-
emergence of infectious diseases. Traditional epidemiological models, rooted in the early …

Human mobility: Models and applications

H Barbosa, M Barthelemy, G Ghoshal, CR James… - Physics Reports, 2018 - Elsevier
Recent years have witnessed an explosion of extensive geolocated datasets related to
human movement, enabling scientists to quantitatively study individual and collective …

Modeling policy interventions for slowing the spread of artemisinin-resistant pfkelch R561H mutations in Rwanda

RJ Zupko, TD Nguyen, JCS Ngabonziza, M Kabera… - Nature medicine, 2023 - nature.com
Artemisinin combination therapies (ACTs) are highly effective at treating uncomplicated
Plasmodium falciparum malaria, but the emergence of the new pfkelch13 R561H mutation in …

Big data for development: A review of promises and challenges

M Hilbert - Development Policy Review, 2016 - Wiley Online Library
The article uses a conceptual framework to review empirical evidence and some 180 articles
related to the opportunities and threats of Big Data Analytics for international development …

Applying mobile phone data to travel behaviour research: A literature review

Z Wang, SY He, Y Leung - Travel Behaviour and Society, 2018 - Elsevier
Travel behaviour has been studied for decades to guide transportation development and
management, with the support of traditional data collected by travel surveys. Recently, with …

Mobile phone location data for disasters: A review from natural hazards and epidemics

T Yabe, NKW Jones, PSC Rao, MC Gonzalez… - … Environment and Urban …, 2022 - Elsevier
Rapid urbanization and climate change trends, intertwined with complex interactions of
various social, economic, and political factors, have resulted in an increase in the frequency …

[HTML][HTML] Rapid and near real-time assessments of population displacement using mobile phone data following disasters: The 2015 Nepal earthquake

R Wilson, E zu Erbach-Schoenberg, M Albert… - PLoS …, 2016 - pmc.ncbi.nlm.nih.gov
Introduction: Sudden impact disasters often result in the displacement of large numbers of
people. These movements can occur prior to events, due to early warning messages, or take …

Computational socioeconomics

J Gao, YC Zhang, T Zhou - Physics Reports, 2019 - Elsevier
Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding of socioeconomic …

Mobile phone data highlights the role of mass gatherings in the spreading of cholera outbreaks

F Finger, T Genolet, L Mari, GC de Magny… - Proceedings of the …, 2016 - pnas.org
The spatiotemporal evolution of human mobility and the related fluctuations of population
density are known to be key drivers of the dynamics of infectious disease outbreaks. These …

The exciting potential and daunting challenge of using GPS human-mobility data for epidemic modeling

F Barreras, DJ Watts - Nature Computational Science, 2024 - nature.com
Large-scale GPS location datasets hold immense potential for measuring human mobility
and interpersonal contact, both of which are essential for data-driven epidemiology …