Corrine W Ruktanonchai
Dados Biográficos
| ID | 1832319 |
|---|---|
| NOME | Corrine W Ruktanonchai |
| PRENOMES | Corrine W |
| SOBRENOME | Ruktanonchai |
| ASSINATURA | RUKTANONCHAI C W |
| AFILIAÇÕES | University of Southampton |
| ORCID | 0000-0002-7889-3473 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 5 |
| TOTAL DE CITAÇÕES | 4 |
| TOTAL COMO AUTOR | 5 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2018 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2023 |
| ÍNDICE H | 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…
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…
Integrated vaccination and physical distancing interventions to prevent future Covid-19 waves in Chinese cities
Estimating uncertainty in geospatial modelling at multiple spatial resolutions
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 …
Temporal trends in spatial inequalities of maternal and newborn health services among four east African countries, 1999–2015
We found that while the region is generally making progress in reducing spatial gaps across districts, improvement in PNC coverage has stagnated, and should be monitored closely over the coming decades. This study is the first to report temporal trends in district-level estimates in MNH services across the EAC region, and these findings establish an important baseline of evidence for the Sustainable Development Goal era
Temporal trends in spatial inequalities of maternal and newborn health services among four east African countries, 1999–2015
We found that while the region is generally making progress in reducing spatial gaps across districts, improvement in PNC coverage has stagnated, and should be monitored closely over the coming decades. This study is the first to report temporal trends in district-level estimates in MNH services across the EAC region, and these findings establish an important baseline of evidence for the Sustainable Development Goal era
Estimating uncertainty in geospatial modelling at multiple spatial resolutions
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
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…
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…
Geography (4 obras) · Medicine (4 obras) · Demography (3 obras) · COVID-19 epidemiological studies (2 obras) · Econometrics (2 obras) · Economic growth (2 obras) · Economics (2 obras) · Environmental health (2 obras) · Environmental Science (2 obras) · Global Maternal and Child Health (2 obras)