Nick W Ruktanonchai
Biographic Data
| ID | 1832322 |
|---|---|
| NAME | Nick W Ruktanonchai |
| GIVEN NAMES | Nick W |
| FAMILY NAME | Ruktanonchai |
| SIGNATURE | RUKTANONCHAI N W |
| AFFILIATIONS | University of Southampton |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
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
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 …
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…
Medicine (3 works) · COVID-19 epidemiological studies (2 works) · Economics (2 works) · Environmental Science (2 works) · Geography (2 works) · Outbreak (2 works) · Psychological intervention (2 works) · Psychology (2 works) · 2019-20 coronavirus outbreak (1 works) · Bayesian inference (1 works)