A5015853632- Impact of Light on Environment and Health
- Land Use and Ecosystem Services
- demographic modeling and climate adaptation
- Human Mobility and Location-Based Analysis
- Insurance, Mortality, Demography, Risk Management
- COVID-19 epidemiological studies
- Urban Transport and Accessibility
- Fluid Dynamics and Turbulent Flows
- Atmospheric and Environmental Gas Dynamics
- Data-Driven Disease Surveillance
- COVID-19 Pandemic Impacts
- Image Processing and 3D Reconstruction
- Handwritten Text Recognition Techniques
- Global Health Care Issues
- Vaccine Coverage and Hesitancy
- Climate Change, Adaptation, Migration
- Healthcare Systems and Reforms
- Global Maternal and Child Health
- HIV/AIDS Impact and Responses
- Remote Sensing in Agriculture
- Spatial and Panel Data Analysis
- Corruption and Economic Development
- COVID-19 Digital Contact Tracing
- Heat Transfer Mechanisms
- Rangeland and Wildlife Management
University of Southampton
2008-2024
Columbia University
2024
Kharkiv National University of Radio Electronics
2020
Multi-temporal, globally consistent, high-resolution human population datasets provide consistent and comparable distributions in support of mapping sub-national heterogeneities health, wealth, resource access, monitoring change these over time. The production more reliable spatially detailed is increasingly necessary due to the importance improving metrics at multi-temporal scales. This measurement UN Sustainable Development Goals related agendas. In response agendas, a method has been...
Abstract In times of crisis, real‐time data mapping population displacements are invaluable for targeted humanitarian response. The Russian invasion Ukraine on February 24, 2022, forcibly displaced millions people from their homes including nearly 6 million refugees flowing across the border in just a few weeks, but information was scarce regarding and vulnerable populations who remained inside Ukraine. We leveraged social media Facebook's advertising platform combination with preconflict to...
Abstract Public and school holidays have important impacts on population mobility dynamics across multiple spatial temporal scales, subsequently affecting the transmission of infectious diseases many socioeconomic activities. However, worldwide data public for understanding their changes regions years not been assembled into a single, open-source multitemporal dataset. To address this gap, an open access archive in 2010–2019 globe at daily, weekly, monthly timescales was constructed. Airline...
Mapping urban features/human built-settlement extents at the annual time step has a wide variety of applications in demography, public health, sustainable development, and many other fields. Recently, while more multitemporal datasets have become available, issues still exist remotely-sensed imagery due to spatial temporal coverage, adverse atmospheric conditions, expenses involved producing such datasets. Remotely-sensed time-series urban/built-settlement therefore do not yet cover than...
Tracking spatiotemporal changes in GHG emissions is key to successful implementation of the United Nations Framework Convention on Climate Change (UNFCCC). And while emission inventories often provide a robust tool track trends at country level, subnational estimates are not reported or reports vary robustness as dependent spatial modeling approach and ancillary data used disaggregate inventories. Assessing errors uncertainties fundamentally challenging due lack physical measurements level....
The ongoing COVID-19 pandemic has progressed with varying degrees of intensity in individual countries, suggesting it is important to analyse factors that vary between them. We study measures `population-weighted density', which capture density as perceived by a randomly chosen individual. These population can significantly explain variation the initial rate spread countries within Europe. However, such do not differences on global scale, particularly when considering East Asia, or looking...
"Leaving no one behind" is the fundamental objective of 2030 Agenda for Sustainable Development. Latin America and Caribbean marked by social inequalities, whilst its total population projected to increase almost 760 million 2050. In this context, contemporary spatially detailed datasets that accurately capture distribution residential are critical appropriately inform support environmental, health, developmental applications at subnational levels. Existing under-utilised governments due...
Abstract Data accurately representing the population distribution at subnational level within countries is critical to policy and decision makers for many applications. Call data records (CDRs) have shown great promise this, providing much higher temporal spatial resolutions compared traditional sources. For CDRs be integrated with other in order effectively inform support making, mobile phone user must distributed from cell tower into administrative units. This can done different ways it...
Background Cystic and alveolar echinococcosis (CE AE) are neglected tropical diseases caused by Echinococcus granulosus sensu lato E . multilocularis , emerging zoonoses in Kyrgyzstan. In this country, the spatial distribution of CE AE surgical incidence 2014-2016 showed marked heterogeneity across communities, suggesting presence ecological determinants underlying distributions. Methodology/Principal findings For reason, study we assessed potential associations between community-level...
Many low- and middle-income countries (LMICs) continue to experience substantial inequities in vaccination coverage despite recent efforts reach missed communities reduce zero-dose prevalence. Geographic are often characterised by a multiplicity of risk factors which should be operationalized through data integration inform more effective equitable policies programmes. Here, we explore approaches for integrating information from multiple create vulnerability index improve the identification...
Previous research in India has identified urbanisation, human mobility and population demographics as key variables associated with higher district level COVID-19 incidence. However, the spatiotemporal dynamics of patterns rural urban areas India, conjunction other drivers transmission, have not been fully investigated. We explored travel networks within during two pandemic waves using aggregated anonymized weekly movement datasets obtained from Google, quantified changes before compared...
In times of crisis, real-time data mapping population displacements are invaluable for targeted humanitarian response. The Russian invasion Ukraine on February 24, 2022 forcibly displaced millions people from their homes including nearly 6m refugees flowing across the border in just a few weeks, but information was scarce regarding and vulnerable populations who remained inside Ukraine. We leveraged near social media marketing to estimate sub-national sizes every day disaggregated by age...
This paper presents progresses made on aircraft installation effects using numerical methods under WP 3.2 of SYMPHONY, a project supported by Technology Strategy Board, UK. Large-eddy simulations (LES) were performed for turbulent flow around wing the influence from engine jet solving compressible Navier-Stokes equations an in-horse high-order finite difference code. Simulations both clean and at high-lift configuration. Installation are analysed comparing with LES results three baseline...
Advances in the availability of multi-temporal, remote sensing-derived global built-/human-settlements datasets can now provide globally consistent definitions “human-settlement” at unprecedented spatial fineness. Yet, these data only a time-series past extents and urban growth/expansion models have not had parallel advances high-spatial resolution. Here our goal was to present applicable predictive modelling framework, as informed by short, preceding built-settlement extents, capable...
Abstract Understanding the fine scale and subnational spatial distribution of reproductive, maternal, newborn, child, adolescent health development indicators is crucial for targeting increasing efficiency resources public planning. National governments are committed to improve lives their people, lift population out poverty achieve Sustainable Development Goals. We created an open access collection high resolution gridded district level datasets India using mainly 2015–16 Family Health...
Top-down population modelling has gained applied prominence in public health, planning, and sustainability applications at the global scale. These top-down methods often rely on remote-sensing (RS) derived representation of built-environment settlements as key predictive covariates. While these RS-derived data, which are extent, have become more advanced available, gaps spatial temporal coverage remain. Here we modelled built-settlement extents between 2000 2012 demonstrate utility...
Creative processes such as painting often involve creating different components of an image one by one. Can we build a computational model to perform this task? Prior works fail making global changes the image, inserting objects in unrealistic spatial locations, and generating inaccurate lighting details. We observe that while state-of-the-art models poorly on object insertion, they can remove erase background natural images very well. Inverting direction removal, obtain high-quality data...
Top-down population modelling has gained applied prominence in public health, planning, and sustainability applications at the global scale. These top-down methods often rely on remote-sensing (RS) derived representation of built-environment settlements as key predictive covariates. While these RS-derived data, which are extent, have become more advanced available, gaps spatial temporal coverage remain. prompted interpolation settlements, but utility such interpolated data further garnered...