A5022408311- COVID-19 epidemiological studies
- Complex Network Analysis Techniques
- Data-Driven Disease Surveillance
- Human Mobility and Location-Based Analysis
- Mosquito-borne diseases and control
- Opinion Dynamics and Social Influence
- Numerical methods for differential equations
- Social Media and Politics
- Vaccine Coverage and Hesitancy
- COVID-19 Digital Contact Tracing
- Opportunistic and Delay-Tolerant Networks
- Influenza Virus Research Studies
- Model Reduction and Neural Networks
- Caching and Content Delivery
- ICT in Developing Communities
- Network Security and Intrusion Detection
- Malaria Research and Control
- Urban Transport and Accessibility
- Innovation Diffusion and Forecasting
- Web visibility and informetrics
- Viral Infections and Vectors
- Digital Marketing and Social Media
- Advanced Numerical Methods in Computational Mathematics
- SARS-CoV-2 and COVID-19 Research
- Peer-to-Peer Network Technologies
Innovation Norway (Norway)
2023-2024
Telenor (Norway)
2013-2023
University of Bergen
1998-2003
OsloMet – Oslo Metropolitan University
2003
Significance Dengue virus has rapidly spread into new human populations due to travel and changing suitability for the mosquito vector, causing severe febrile illness significant mortality. Accurate predictive models identifying vulnerability dengue outbreaks are necessary epidemic preparedness containment of virus. Here we show that an epidemiological model transmission in travelers, based on mobility data from ∼40 million mobile phone subscribers climatic information, predicts geographic...
Poverty is one of the most important determinants adverse health outcomes globally, a major cause societal instability and largest causes lost human potential. Traditional approaches to measuring targeting poverty rely heavily on census data, which in low- middle-income countries (LMICs) are unavailable or out-of-date. Alternate measures needed complement update estimates between censuses. This study demonstrates how public private data sources that commonly available for LMICs can be used...
Climate change is likely to drive migration from environmentally stressed areas. However quantifying short and long-term movements across large areas challenging due difficulties in the collection of highly spatially temporally resolved human mobility data. In this study we use two datasets individual trajectories six million de-identified mobile phone users Bangladesh over three months years respectively. Using data collected during Cyclone Mahasen, which struck May 2013, show first how...
For countries aiming for malaria elimination, travel of infected individuals between endemic areas undermines local interventions. Quantifying parasite importation has therefore become a priority national control programs. We analyzed epidemiological surveillance data, surveys, genetic and anonymized mobile phone data to measure the spatial spread parasites in southeast Bangladesh. developed mixing index estimate likelihood samples being or imported from inferred direction intensity flow...
Abstract Seasonal variation in human mobility is globally ubiquitous and affects the spatial spread of infectious diseases, but ability to measure seasonality movement has been limited by data availability. Here, we use mobile phone quantify seasonal travel directional asymmetries Kenya, Namibia, Pakistan, across a spectrum from rural nomadic populations highly urbanized communities. We then model how geographic several acute pathogens with varying life histories could depend on country-wide...
A surge of interest has been noted in the use mobility data from mobile phones to monitor physical distancing and model spread severe acute respiratory syndrome coronavirus 2, virus that causes COVID-19. Despite several years research this area, standard frameworks for aggregating making different streams are scarce difficult generalise across providers. Here, we examine aggregation principles procedures phone describe a common syntax how aggregated used policy. We argue privacy protection...
Large-scale data from digital infrastructure, like mobile phone networks, provides rich information on the behavior of millions people in areas affected by climate stress. Using anonymized mobility and calling 5.1 million Grameenphone users Barisal Division Chittagong District, Bangladesh, we investigate effect Cyclone Mahasen, which struck May 2013. We characterize spatiotemporal patterns anomalies frequency, recharges, population movements before, during after cyclone. While it was...
Abstract Over 390 million people worldwide are infected with dengue fever each year. In the absence of an effective vaccine for general use, national control programs must rely on hospital readiness and targeted vector to prepare epidemics, so accurate forecasting remains important goal. Many approaches have used environmental data linked mosquito ecology predict when epidemics will occur, but these had mixed results. Conversely, human mobility, driver in spatial spread infection, is often...
We apply our previously developed method of ‘topographic’ analysis networks to the problem epidemic spreading. consider simplest form spreading, namely ‘SI’ model. argue that <i>eigenvector centrality</i> a node is good indicator node’s <i>spreading power. </i>From this we develop seven specific predictions. In particular, predict each <i>region</i> (as defined by approach) will have its own S curve for cumulative adoption over time, and describe various...
The COVID-19 pandemic is challenging nations with devastating health and economic consequences. spread of the disease has revealed major geographical heterogeneity because regionally varying individual behaviour mobility patterns, unequal meteorological conditions, diverse viral variants, locally implemented non-pharmaceutical interventions vaccination roll-out. To support national regional authorities in surveilling controlling real-time as it unfolds, we here develop a new mathematical...
Information about the contagiousness of new SARS-CoV-2 variants, including alpha lineage, and how they spread in various locations is essential. Country-specific estimates are needed because local interventions influence transmissibility.We analysed contact tracing data from Oslo municipality, reported January through February 2021, when lineage became predominant Norway estimated relative transmissibility with use Poisson regression.Within households, we found an increase secondary attack...
Abstract The Covid-19 pandemic has required most countries to implement complex sequences of non-pharmaceutical interventions, with the aim controlling transmission virus in population. To be able take rapid decisions, a detailed understanding current situation is necessary. Estimates time-varying, instantaneous reproduction numbers represent way quantify viral real time. They are often defined through mathematical compartmental model epidemic, like stochastic SEIR model, whose parameters...
Abstract Understanding factors associated with tie strength in social networks is essential a wide variety of settings. With the internet and cellular phones providing additional avenues communication, measuring inferring has become much more complex. We introduce bow framework, which consists focal all actors connected to either or both two nodes on side tie. also define several intuitive interpretable metrics that quantify properties enable us investigate associations between “central”...
BackgroundGiven the societal, economic and health costs of COVID-19 non-pharmaceutical interventions (NPI), it is important to assess their effects. Human mobility serves as a surrogate measure for human contacts compliance with NPI. In Nordic countries, NPI have mostly been advised sometimes made mandatory. It unclear if making mandatory further reduced mobility.AimWe investigated effect non-compulsory follow-up measures in major cities rural regions on Norway. We identified categories that...
Vaccination was a key intervention in controlling the COVID-19 pandemic globally. In early 2021, Norway faced significant regional variations incidence and prevalence, with large differences population density, necessitating efficient vaccine allocation to reduce infections severe outcomes. This study explored alternative vaccination strategies minimize health outcomes (infections, hospitalizations, ICU admissions, deaths) by varying regions prioritized, extra doses implementation start...
Background Several large outbreaks of chikungunya have been reported in the Indian Ocean region last decade. In 2017, an outbreak occurred Dhaka, Bangladesh, one largest and densest megacities world. Population mobility fluctuations population density are important drivers epidemics. Measuring during is challenging but a particularly goal context rapidly growing highly connected cities low- middle-income countries, which can act to amplify spread local epidemics nationally internationally....
Human mobility plays a major role in the spatial dissemination of infectious diseases. We develop spatio-temporal stochastic model for influenza-like disease spread based on estimates human mobility. The is informed by mobile phone data collected Bangladesh. compare predictions models daily (reference) with that time-averaged data, and approximations. find gravity overestimates synchrony, while radiation underestimates synchrony. Using resulted spreading patterns comparable to model. fit...
In this paper we apply geometric integrators of the RKMK type to problem integrating Lie--Poisson systems numerically. By using coadjoint action Lie group G on dual algebra ${\mbox{\normalsize$\mathfrak{g}$}}^*$ advance numerical flow, devise methods arbitrary order that automatically stay orbits. First integrals known as Casimirs are retained machine accuracy by algorithm. Within proposed class find also conserve energy. These schemes implicit and second order. Nonlinear iteration in linear...
Although measles incidence has reached historic lows in many parts of the world, disease still causes substantial morbidity globally. Even where control programs have succeeded driving locally extinct, unless vaccination coverage is maintained at extremely high levels, susceptible numbers may increase sufficiently to spark large outbreaks. Human mobility will drive potentially infectious contacts and interact with landscape susceptibility determine pattern These interactions proved difficult...
Limitations in laboratory diagnostic capacity and reporting delays have hampered efforts to mitigate control the ongoing coronavirus disease 2019 (COVID-19) pandemic globally. To augment traditional lab hospital-based surveillance, Bangladesh established a participatory surveillance system for public self-report symptoms consistent with COVID-19 through multiple channels. Here, we report on use of this system, which received over 3 million responses within two months, tracking outbreak...