Human-centred artificial intelligence for mobile health sensing: challenges and opportunities

T Dang, D Spathis, A Ghosh… - Royal Society Open …, 2023 - royalsocietypublishing.org
Advances in wearable sensing and mobile computing have enabled the collection of health
and well-being data outside of traditional laboratory and hospital settings, paving the way for …

Crime, inequality and public health: a survey of emerging trends in urban data science

M Luca, GM Campedelli, S Centellegher… - Frontiers in Big …, 2023 - frontiersin.org
Urban agglomerations are constantly and rapidly evolving ecosystems, with globalization
and increasing urbanization posing new challenges in sustainable urban development well …

Improving longitudinal research in geospatial health: an agenda

MR Desjardins, ET Murray, G Baranyi, M Hobbs… - Health & Place, 2023 - Elsevier
All aspects of public health research require longitudinal analyses to fully capture the
dynamics of outcomes and risk factors such as ageing, human mobility, non-communicable …

[HTML][HTML] The implementation of a GPS-based location-tracking smartphone app in South Africa to improve engagement in HIV care: randomized controlled trial

K Clouse, S Noholoza, S Madwayi… - JMIR mHealth and …, 2023 - mhealth.jmir.org
Background: Mobile health interventions are common in public health settings in Africa, and
our preliminary work showed that smartphones are increasing in South Africa. We …

COVID-19 is linked to changes in the time–space dimension of human mobility

C Santana, F Botta, H Barbosa, F Privitera… - Nature Human …, 2023 - nature.com
Socio-economic constructs and urban topology are crucial drivers of human mobility
patterns. During the coronavirus disease 2019 pandemic, these patterns were reshaped in …

Exploring the relationship between temporal fluctuations in satellite nightlight imagery and human mobility across Africa

G Rogers, P Koper, C Ruktanonchai, N Ruktanonchai… - Remote Sensing, 2023 - mdpi.com
Mobile phone data have been increasingly used over the past decade or more as a pretty
reliable indicator of human mobility to measure population movements and the associated …

The limits of human mobility traces to predict the spread of COVID-19: A transfer entropy approach

F Delussu, M Tizzoni, L Gauvin - PNAS nexus, 2023 - academic.oup.com
Mobile phone data have been widely used to model the spread of COVID-19; however,
quantifying and comparing their predictive value across different settings is challenging …

Assessment of malaria risk in Southeast Asia: a systematic review

C Sa-Ngamuang, S Lawpoolsri, M Su Yin, T Barkowsky… - Malaria Journal, 2023 - Springer
Abstract Background Several countries in Southeast Asia are nearing malaria elimination,
yet eradication remains elusive. This is largely due to the challenge of focusing elimination …

Google and Apple mobility data as predictors for European tourism during the COVID-19 pandemic: A neural network approach

B Nagy, MR Gabor, IB Bacoș, M Kabil, K Zhu… - … . Quarterly Journal of …, 2023 - ceeol.com
Research background: The COVID-19 pandemic has caused unprecedented disruptions to
the global tourism industry, resulting in significant impacts on both human and economic …

Modelling the impact of interventions on imported, introduced and indigenous malaria infections in Zanzibar, Tanzania

AM Das, MW Hetzel, JO Yukich, L Stuck… - Nature …, 2023 - nature.com
Malaria cases can be classified as imported, introduced or indigenous cases. The World
Health Organization's definition of malaria elimination requires an area to demonstrate that …