Projecting contact matrices in 177 geographical regions: An update and comparison with empirical data for the COVID-19 era

K Prem, K Zandvoort, P Klepac, RM Eggo… - PLoS computational …, 2021 - journals.plos.org
Mathematical models have played a key role in understanding the spread of directly-
transmissible infectious diseases such as Coronavirus Disease 2019 (COVID-19), as well as …

Patterns of human social contact and contact with animals in Shanghai, China

J Zhang, P Klepac, JM Read, A Rosello, X Wang… - Scientific reports, 2019 - nature.com
East Asia is as a principal hotspot for emerging zoonotic infections. Understanding the likely
pathways for their emergence and spread requires knowledge on human-human and …

Using wearable proximity sensors to characterize social contact patterns in a village of rural Malawi

L Ozella, D Paolotti, G Lichand, JP Rodríguez… - EPJ Data …, 2021 - epjds.epj.org
Measuring close proximity interactions between individuals can provide key information on
social contacts in human communities and related behaviours. This is even more essential …

Breastfeeding and respiratory infections in the first 6 months of life: A case control study

E Pandolfi, F Gesualdo, C Rizzo, E Carloni… - Frontiers in …, 2019 - frontiersin.org
Background: Viral respiratory tract infections (VRI) are a major reason for hospitalization in
children younger than 5 years. A case control study was conducted to investigate the …

SociTrack: Infrastructure-free interaction tracking through mobile sensor networks

A Biri, N Jackson, L Thiele, P Pannuto… - Proceedings of the 26th …, 2020 - dl.acm.org
Social scientists, psychologists, and epidemiologists use empirical human interaction data to
research human behaviour, social bonding, and disease spread. Historically, systems …

Measuring naturalistic proximity as a window into caregiver–child interaction patterns

VC Salo, P Pannuto, W Hedgecock, A Biri… - Behavior research …, 2021 - Springer
The interactions most supportive of positive child development take place in moments of
close contact with others. In the earliest years of life, a child's caregivers are the primary …

Fine-scale family structure shapes influenza transmission risk in households: Insights from primary schools in Matsumoto city, 2014/15

A Endo, M Uchida, AJ Kucharski… - PLoS computational …, 2019 - journals.plos.org
Households are important settings for the transmission of seasonal influenza. Previous
studies found that the per-person risk of within-household transmission decreases with …

Analysis of SARS-CoV-2 transmission in airports based on real human close contact behaviors

X Yang, Z Dou, Y Ding, B Su, H Qian… - Journal of Building …, 2024 - Elsevier
The COVID-19 pandemic has significantly impacted people's daily lives for over three years.
Airports, with their dense population and frequent close contact, pose a higher risk of …

Likelihood-based inference for partially observed epidemics on dynamic networks

F Bu, AE Aiello, J Xu, A Volfovsky - Journal of the American …, 2022 - Taylor & Francis
We propose a generative model and an inference scheme for epidemic processes on
dynamic, adaptive contact networks. Network evolution is formulated as a link-Markovian …

Janus: Dual-radio accurate and energy-efficient proximity detection

T Istomin, E Leoni, D Molteni, AL Murphy… - Proceedings of the …, 2021 - dl.acm.org
Proximity detection is at the core of several mobile and ubiquitous computing applications.
These include reactive use cases, eg, alerting individuals of hazards or interaction …