Alessandro Sorichetta
Biographic Data
| ID | 4263874 |
|---|---|
| NAME | Alessandro Sorichetta |
| GIVEN NAMES | Alessandro |
| FAMILY NAME | Sorichetta |
| SIGNATURE | SORICHETTA A |
| AFFILIATIONS | University of Southampton |
| ORCID | 0000-0002-3576-5826 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Urban–Rural Disparities in Geographic Healthcare Accessibility: A Comparative Study of Nigeria and Zambia
Geographic access to healthcare remains a critical barrier to health equity in low- and middle-income countries, where infrastructure and service provision are unevenly distributed. Using the UN-endorsed Degree of Urbanisation framework, we assessed disparities in geographic healthcare accessibility across Nigeria and Zambia in 2020. Travel times to health facilities were modeled for both walking and motorized transport at 1 km resolution, and st…
Comparing lagged impacts of mobility changes and environmental factors on Covid-19 waves in rural and urban India: A Bayesian spatiotemporal modelling study
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 mobility patterns in rural and urban areas in India, in conjunction with other drivers of COVID-19 transmission, have not been fully investigated. We explored travel networks within India during two pandemic waves using aggregated and a…
“Where and Whom You Collect Weightings from Matters…” Capturing Wellbeing Priorities Within a Vulnerable Context: A Case Study of Volta Delta, Ghana
Wellbeing is a crucial policy outcome within sustainable development, yet it can be measured and conceptualised in various ways. Methodological decisions, such as how different components are weighted, can influence wellbeing classification. Many studies utilise equal weighting, assuming each component is equally important; however, does this reflect communities’ lived experiences? This study outlines a multidimensional basic needs deprivation me…
Happy Farmers” in Volta Delta, Ghana? Exploring the Relationship between Environmental Conditions and Happiness
Communities’ wellbeing in rural lower-middle-income countries is interlinked with climate and landscape characteristics. Rural inhabitants are often assumed to be “happy farmers”, content with their livelihoods and social connections, despite the financial and material insecurities associated with their fragile environments. However, is this assumption an accurate reflection of reality? This study explores relationships between environmental cond…
Assessing the impacts of gridded population model choice on degree of urbanisation metrics
Defining urban and rural areas is crucial for assessing the accessibility of services and opportunities that impact people worldwide. The Degree of Urbanisation framework, endorsed by the UN Statistical Commission, primarily uses population grids to classify areas through a harmonised, population-centric approach, enabling international comparisons. However, variations in the distribution of population counts at the grid-cell level across differe…
Identifying counter-urbanisation using Facebook's user count data
Identifying the growing widespread phenomenon of counter-urbanisation, where people relocate from urban centres to rural areas, is essential for understanding the social and ecological consequences of the associated changes. However, its nuanced dynamics and complex characteristics pose challenges for quantitative analysis. Here, we used near real-time Facebook user count data for Belgium and Thailand, with missing data imputed, and applied the S…
Exploring methods for mapping seasonal population changes using mobile phone data
Data accurately representing the population distribution at the subnational level within countries is critical to policy and decision makers for many applications. Call data records (CDRs) have shown great promise for this, providing much higher temporal and spatial resolutions compared to traditional data sources. For CDRs to be integrated with other data and in order to effectively inform and support policy and decision making, mobile phone use…
Improving the accuracy of gridded population estimates in cities and slums to monitor SDG 11: Evidence from a simulation study in Namibia
Measuring the contribution of built-settlement data to global population mapping
Top-down population modelling has gained applied prominence in public health, planning, and sustainability applications at the global scale. These top-down population modelling methods often rely on remote-sensing (RS) derived representation of the built-environment and settlements as key predictive covariates. While these RS-derived data, which are global in extent, have become more advanced and more available, gaps in spatial and temporal cover…
Annually modelling built-settlements between remotely-sensed observations using relative changes in subnational populations and lights at night
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 urban features/human built-settlement datasets have become available, issues still exist in remotely-sensed imagery due to spatial and temporal coverage, adverse atmospheric conditions, and expenses involved in producing suc…
Global spatio-temporally harmonised datasets for producing high-resolution gridded population distribution datasets
Multi-temporal, globally consistent, high-resolution human population datasets provide consistent and comparable population distributions in support of mapping sub-national heterogeneities in health, wealth, and resource access, and monitoring change in these over time. The production of more reliable and spatially detailed population datasets is increasingly necessary due to the importance of improving metrics at sub-national and multi-temporal …
The spatial allocation of population: A review of large-scale gridded population data products and their fitness for use
Population data represent an essential component in studies focusing on human–nature interrelationships, disaster risk assessment and environmental health. Several recent efforts have produced global- and continental-extent gridded population data which are becoming increasingly popular among various research communities. However, these data products, which are of very different characteristics and based on different modeling assumptions, have ne…
High resolution global gridded data for use in population studies
Recent years have seen substantial growth in openly available satellite and other geospatial data layers, which represent a range of metrics relevant to global human population mapping at fine spatial scales. The specifications of such data differ widely and therefore the harmonisation of data layers is a prerequisite to constructing detailed and contemporary spatial datasets which accurately describe population distributions. Such datasets are v…
Improving the accuracy of gridded population estimates in cities and slums to monitor SDG 11: Evidence from a simulation study in Namibia
Happy Farmers” in Volta Delta, Ghana? Exploring the Relationship between Environmental Conditions and Happiness
Communities’ wellbeing in rural lower-middle-income countries is interlinked with climate and landscape characteristics. Rural inhabitants are often assumed to be “happy farmers”, content with their livelihoods and social connections, despite the financial and material insecurities associated with their fragile environments. However, is this assumption an accurate reflection of reality? This study explores relationships between environmental cond…
High resolution global gridded data for use in population studies
Recent years have seen substantial growth in openly available satellite and other geospatial data layers, which represent a range of metrics relevant to global human population mapping at fine spatial scales. The specifications of such data differ widely and therefore the harmonisation of data layers is a prerequisite to constructing detailed and contemporary spatial datasets which accurately describe population distributions. Such datasets are v…
Global spatio-temporally harmonised datasets for producing high-resolution gridded population distribution datasets
Multi-temporal, globally consistent, high-resolution human population datasets provide consistent and comparable population distributions in support of mapping sub-national heterogeneities in health, wealth, and resource access, and monitoring change in these over time. The production of more reliable and spatially detailed population datasets is increasingly necessary due to the importance of improving metrics at sub-national and multi-temporal …
The spatial allocation of population: A review of large-scale gridded population data products and their fitness for use
Population data represent an essential component in studies focusing on human–nature interrelationships, disaster risk assessment and environmental health. Several recent efforts have produced global- and continental-extent gridded population data which are becoming increasingly popular among various research communities. However, these data products, which are of very different characteristics and based on different modeling assumptions, have ne…
Annually modelling built-settlements between remotely-sensed observations using relative changes in subnational populations and lights at night
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 urban features/human built-settlement datasets have become available, issues still exist in remotely-sensed imagery due to spatial and temporal coverage, adverse atmospheric conditions, and expenses involved in producing suc…
Measuring the contribution of built-settlement data to global population mapping
Top-down population modelling has gained applied prominence in public health, planning, and sustainability applications at the global scale. These top-down population modelling methods often rely on remote-sensing (RS) derived representation of the built-environment and settlements as key predictive covariates. While these RS-derived data, which are global in extent, have become more advanced and more available, gaps in spatial and temporal cover…
Exploring methods for mapping seasonal population changes using mobile phone data
Data accurately representing the population distribution at the subnational level within countries is critical to policy and decision makers for many applications. Call data records (CDRs) have shown great promise for this, providing much higher temporal and spatial resolutions compared to traditional data sources. For CDRs to be integrated with other data and in order to effectively inform and support policy and decision making, mobile phone use…
Improving the accuracy of gridded population estimates in cities and slums to monitor SDG 11: Evidence from a simulation study in Namibia
Identifying counter-urbanisation using Facebook's user count data
Identifying the growing widespread phenomenon of counter-urbanisation, where people relocate from urban centres to rural areas, is essential for understanding the social and ecological consequences of the associated changes. However, its nuanced dynamics and complex characteristics pose challenges for quantitative analysis. Here, we used near real-time Facebook user count data for Belgium and Thailand, with missing data imputed, and applied the S…
Comparing lagged impacts of mobility changes and environmental factors on Covid-19 waves in rural and urban India: A Bayesian spatiotemporal modelling study
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 mobility patterns in rural and urban areas in India, in conjunction with other drivers of COVID-19 transmission, have not been fully investigated. We explored travel networks within India during two pandemic waves using aggregated and a…
“Where and Whom You Collect Weightings from Matters…” Capturing Wellbeing Priorities Within a Vulnerable Context: A Case Study of Volta Delta, Ghana
Wellbeing is a crucial policy outcome within sustainable development, yet it can be measured and conceptualised in various ways. Methodological decisions, such as how different components are weighted, can influence wellbeing classification. Many studies utilise equal weighting, assuming each component is equally important; however, does this reflect communities’ lived experiences? This study outlines a multidimensional basic needs deprivation me…
Happy Farmers” in Volta Delta, Ghana? Exploring the Relationship between Environmental Conditions and Happiness
Communities’ wellbeing in rural lower-middle-income countries is interlinked with climate and landscape characteristics. Rural inhabitants are often assumed to be “happy farmers”, content with their livelihoods and social connections, despite the financial and material insecurities associated with their fragile environments. However, is this assumption an accurate reflection of reality? This study explores relationships between environmental cond…
Assessing the impacts of gridded population model choice on degree of urbanisation metrics
Defining urban and rural areas is crucial for assessing the accessibility of services and opportunities that impact people worldwide. The Degree of Urbanisation framework, endorsed by the UN Statistical Commission, primarily uses population grids to classify areas through a harmonised, population-centric approach, enabling international comparisons. However, variations in the distribution of population counts at the grid-cell level across differe…
Urban–Rural Disparities in Geographic Healthcare Accessibility: A Comparative Study of Nigeria and Zambia
Geographic access to healthcare remains a critical barrier to health equity in low- and middle-income countries, where infrastructure and service provision are unevenly distributed. Using the UN-endorsed Degree of Urbanisation framework, we assessed disparities in geographic healthcare accessibility across Nigeria and Zambia in 2020. Travel times to health facilities were modeled for both walking and motorized transport at 1 km resolution, and st…
Geography (12 works) · Population (10 works) · Computer Science (8 works) · Impact of Light on Environment and Health (8 works) · Demography (6 works) · Human Mobility and Location-Based Analysis (6 works) · Urban Transport and Accessibility (6 works) · Land Use and Ecosystem Services (5 works) · Sociology (5 works) · Cartography (4 works)