Nick Ruktanonchai
Biographic Data
| ID | 6280475 |
|---|---|
| NAME | Nick Ruktanonchai |
| GIVEN NAMES | Nick |
| FAMILY NAME | Ruktanonchai |
| SIGNATURE | RUKTANONCHAI N |
| AFFILIATIONS | Virginia Tech |
| ORCID | 0000-0001-6500-7121 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
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…
Exploring infectious disease spread as a function of seasonal and pandemic-induced changes in human mobility
Introduction: Community-level changes in population mobility can dramatically change the trajectory of any directly-transmitted infectious disease, by modifying where and between whom contact occurs. This was highlighted throughout the COVID-19 pandemic, where community response and nonpharmaceutical interventions changed the trajectory of SARS-CoV-2 spread, sometimes in unpredictable ways. Population-level changes in mobility also occur seasonal…
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…
Combined and delayed impacts of epidemics and extreme weather on urban mobility recovery
The ever-increasing pandemic and natural disasters might spatial-temporal overlap to trigger compound disasters that disrupt urban life, including human movements. In this study, we proposed a framework for data-driven analyses on mobility resilience to uncover the compound effects of COVID-19 and extreme weather events on mobility recovery across cities with varied socioeconomic contexts. The concept of suppression risk (SR) is introduced to qua…
Integrated vaccination and physical distancing interventions to prevent future Covid-19 waves in Chinese cities
Effect of non-pharmaceutical interventions to contain Covid-19 in China
Estimating uncertainty in geospatial modelling at multiple spatial resolutions: The pattern of delivery via caesarean section in Tanzania
Visualising maternal and newborn health (MNH) outcomes at fine spatial resolutions is crucial to ensuring the most vulnerable women and children are not left behind in improving health. Disaggregated data on life-saving MNH interventions remain difficult to obtain, however, necessitating the use of Bayesian geostatistical models to map outcomes at small geographical areas. While these methods have improved model parameter estimates and precision …
Effect of non-pharmaceutical interventions to contain Covid-19 in China
Estimating uncertainty in geospatial modelling at multiple spatial resolutions: The pattern of delivery via caesarean section in Tanzania
Visualising maternal and newborn health (MNH) outcomes at fine spatial resolutions is crucial to ensuring the most vulnerable women and children are not left behind in improving health. Disaggregated data on life-saving MNH interventions remain difficult to obtain, however, necessitating the use of Bayesian geostatistical models to map outcomes at small geographical areas. While these methods have improved model parameter estimates and precision …
Integrated vaccination and physical distancing interventions to prevent future Covid-19 waves in Chinese cities
Combined and delayed impacts of epidemics and extreme weather on urban mobility recovery
The ever-increasing pandemic and natural disasters might spatial-temporal overlap to trigger compound disasters that disrupt urban life, including human movements. In this study, we proposed a framework for data-driven analyses on mobility resilience to uncover the compound effects of COVID-19 and extreme weather events on mobility recovery across cities with varied socioeconomic contexts. The concept of suppression risk (SR) is introduced to qua…
Exploring infectious disease spread as a function of seasonal and pandemic-induced changes in human mobility
Introduction: Community-level changes in population mobility can dramatically change the trajectory of any directly-transmitted infectious disease, by modifying where and between whom contact occurs. This was highlighted throughout the COVID-19 pandemic, where community response and nonpharmaceutical interventions changed the trajectory of SARS-CoV-2 spread, sometimes in unpredictable ways. Population-level changes in mobility also occur seasonal…
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…
Medicine (7 works) · Geography (6 works) · COVID-19 epidemiological studies (5 works) · Pandemic (5 works) · Demography (4 works) · Economics (4 works) · Outbreak (4 works) · Population (4 works) · Psychological intervention (4 works) · COVID-19 and Mental Health (3 works)