Yaqian He
Biographic Data
| ID | 3584423 |
|---|---|
| NAME | Yaqian He |
| GIVEN NAMES | Yaqian |
| FAMILY NAME | He |
| SIGNATURE | HE Y |
| AFFILIATIONS | Dartmouth College |
| ORCID | 0000-0002-8131-1649 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Co-evolution of private and public hospitals: Spatiotemporal disparities, geospatial interactions, and social determinants over 19 years in Sichuan, China
Background: The global rise of private hospitals is crucial for achieving universal health coverage, yet the development of public and private hospitals remains uncoordinated. This study explores the co-evolution of private and public hospitals, focusing on their spatiotemporal disparities, geospatial interactions, and the social determinants under policy guidance. Methods: We used Sichuan province, China, as a case study and collected hospital-l…
Joint spatiotemporal evaluation of multiple healthcare resources: Hospitals, hospital beds and physicians across 365 Chinese cities over 22 years
Background: Regional disparities in healthcare resource allocation across space and time present significant challenges to the global achievement of SDG 3, SDG 10, and SDG 11. To this end, we proposed a joint spatiotemporal evaluation framework to assess the synergistic efficiency of multiple healthcare resources. Methods: Using China as a case study, we analyzed data from 365 cities (2000-2021) on three key healthcare resource indicators: hospit…
Spatiotemporal disparities in maternal mortality and the role of multiscale administrative levels: A 20-year study across Chinese counties
Background: China has made progress in reducing maternal mortality ratio (MMR), yet county-level spatiotemporal heterogeneity persists. This study aims to identify spatiotemporal disparities in MMR and quantify the impacts of various administrative levels on these disparities. Methods: to assess spatiotemporal disparities related to spatial inequity and geographic clustering. Additionally, we applied a Bayesian multiscale spatiotemporally varying…
The biogeophysical impacts of land cover change on climate extremes in the Arctic and Boreal regions
Land cover change (LCC)-climate interactions could amplify or mitigate climate change in the Arctic and Boreal regions. Revealing the impacts of LCC on climate extremes helps to improve risk assessment capability and provides targeted adaptation and mitigation strategies to enhance regional climate resilience. In this study, we parameterized remotely-sensed land cover maps into the Community Earth System Model version 2 (CESM2) to examine the bio…
Agricultural Geography and International Water Conflict: Evidence from Remotely Sensed Data
s As global warming intensifies water stress, the geopolitics of shared water resources have become increasingly urgent, complex, and contentious. This study investigates the role of agricultural geography—specifically the size, location, and spatial configuration of agricultural land—in shaping water stress and its management, ultimately influencing the likelihood of international water conflict. To empirically address these dynamics, we introdu…
Detecting land cover and land use transitions and the associated temperature changes in the East Asian monsoon region
Unprecedented land cover and land use (LCLU) changes can significantly alter the interactions between the land and atmosphere through biogeophysical processes, potentially changing the monsoon systems. Therefore, it is necessary to quantify the LCLU changes and the impacts on the climate in the East Asian monsoon (EAM) region, where significant human‐induced LCLU changes have occurred. This study quantified the LCLU transitions with fractional ma…
Geospatial Modeling of Health, Socioeconomic, Demographic, and Environmental Factors with Covid-19 Incidence Rate in Arkansas, US
The COVID-19 pandemic has posed numerous challenges to human society. Previous studies explored multiple factors in virus transmission. Yet, their impacts on COVID-19 are not universal and vary across geographical regions. In this study, we thoroughly quantified the spatiotemporal associations of 49 health, socioeconomic, demographic, and environmental factors with COVID-19 at the county level in Arkansas, US. To identify the associations, we app…
Rapid Land-Cover and Land-Use Change in the Indo-Malaysian Region over the Last Thirty-Four Years Based on AVHRR NDVI Data
The Indo-Malaysian region is a hot spot of rapid land-cover and land-use change (LCLUC) with little consensus about the rates and magnitudes of such change. Here we use temporal convolutional neural networks (TempCNNs) to generate a spatiotemporally consistent LCLUC data set for nearly thirty-five years (1982–2015), validated against two reference data sets with over 80 percent accuracy, better than other LCLUC products for the region. Our result…
Evaluation and projection of snowfall changes in High Mountain Asia based on Nasa’s NEX-GDDP high-resolution daily downscaled dataset
High Mountain Asia (HMA), which includes the Tibetan Plateau, Tienshan Mountains and surrounding region, has abundant snowfall and a long period of snow cover annually. The headwaters of many prominent Asian rivers depend in part on HMA meltwater. In this study, we evaluate projected changes in mean snowfall (Smean), snowfall days (Sd), and snowfall fraction (Sf) for the years 2070–2099 relative to 1976–2005, under the Representative Concentratio…
Seasonal tropospheric cooling in Northeast China associated with cropland expansion
Large-scale agricultural expansion can influence near-surface climate by altering surface energy fluxes, water, and albedo. It is less clear whether such effects extend through the full troposphere and how such effects vary in time. Here we use a novel dataset documenting the massive land use and land cover change due to agricultural expansion in Northeast China from 1982 to 2010 to assess how such expansion has influenced climate over the full t…
Risk Assessment and Mapping of Hand, Foot, and Mouth Disease at the County Level in Mainland China Using Spatiotemporal Zero-Inflated Bayesian Hierarchical Models
Hand, foot, and mouth disease (HFMD) is a worldwide infectious disease, prominent in China. China's HFMD data are sparse with a large number of observed zeros across locations and over time. However, no previous studies have considered such a zero-inflated problem on HFMD's spatiotemporal risk analysis and mapping, not to mention for the entire Mainland China at county level. Monthly county-level HFMD cases data combined with related climate and …
Rapid Land-Cover and Land-Use Change in the Indo-Malaysian Region over the Last Thirty-Four Years Based on AVHRR NDVI Data
The Indo-Malaysian region is a hot spot of rapid land-cover and land-use change (LCLUC) with little consensus about the rates and magnitudes of such change. Here we use temporal convolutional neural networks (TempCNNs) to generate a spatiotemporally consistent LCLUC data set for nearly thirty-five years (1982–2015), validated against two reference data sets with over 80 percent accuracy, better than other LCLUC products for the region. Our result…
Risk Assessment and Mapping of Hand, Foot, and Mouth Disease at the County Level in Mainland China Using Spatiotemporal Zero-Inflated Bayesian Hierarchical Models
Hand, foot, and mouth disease (HFMD) is a worldwide infectious disease, prominent in China. China's HFMD data are sparse with a large number of observed zeros across locations and over time. However, no previous studies have considered such a zero-inflated problem on HFMD's spatiotemporal risk analysis and mapping, not to mention for the entire Mainland China at county level. Monthly county-level HFMD cases data combined with related climate and …
Seasonal tropospheric cooling in Northeast China associated with cropland expansion
Large-scale agricultural expansion can influence near-surface climate by altering surface energy fluxes, water, and albedo. It is less clear whether such effects extend through the full troposphere and how such effects vary in time. Here we use a novel dataset documenting the massive land use and land cover change due to agricultural expansion in Northeast China from 1982 to 2010 to assess how such expansion has influenced climate over the full t…
Evaluation and projection of snowfall changes in High Mountain Asia based on Nasa’s NEX-GDDP high-resolution daily downscaled dataset
High Mountain Asia (HMA), which includes the Tibetan Plateau, Tienshan Mountains and surrounding region, has abundant snowfall and a long period of snow cover annually. The headwaters of many prominent Asian rivers depend in part on HMA meltwater. In this study, we evaluate projected changes in mean snowfall (Smean), snowfall days (Sd), and snowfall fraction (Sf) for the years 2070–2099 relative to 1976–2005, under the Representative Concentratio…
Rapid Land-Cover and Land-Use Change in the Indo-Malaysian Region over the Last Thirty-Four Years Based on AVHRR NDVI Data
The Indo-Malaysian region is a hot spot of rapid land-cover and land-use change (LCLUC) with little consensus about the rates and magnitudes of such change. Here we use temporal convolutional neural networks (TempCNNs) to generate a spatiotemporally consistent LCLUC data set for nearly thirty-five years (1982–2015), validated against two reference data sets with over 80 percent accuracy, better than other LCLUC products for the region. Our result…
Geospatial Modeling of Health, Socioeconomic, Demographic, and Environmental Factors with Covid-19 Incidence Rate in Arkansas, US
The COVID-19 pandemic has posed numerous challenges to human society. Previous studies explored multiple factors in virus transmission. Yet, their impacts on COVID-19 are not universal and vary across geographical regions. In this study, we thoroughly quantified the spatiotemporal associations of 49 health, socioeconomic, demographic, and environmental factors with COVID-19 at the county level in Arkansas, US. To identify the associations, we app…
Detecting land cover and land use transitions and the associated temperature changes in the East Asian monsoon region
Unprecedented land cover and land use (LCLU) changes can significantly alter the interactions between the land and atmosphere through biogeophysical processes, potentially changing the monsoon systems. Therefore, it is necessary to quantify the LCLU changes and the impacts on the climate in the East Asian monsoon (EAM) region, where significant human‐induced LCLU changes have occurred. This study quantified the LCLU transitions with fractional ma…
Co-evolution of private and public hospitals: Spatiotemporal disparities, geospatial interactions, and social determinants over 19 years in Sichuan, China
Background: The global rise of private hospitals is crucial for achieving universal health coverage, yet the development of public and private hospitals remains uncoordinated. This study explores the co-evolution of private and public hospitals, focusing on their spatiotemporal disparities, geospatial interactions, and the social determinants under policy guidance. Methods: We used Sichuan province, China, as a case study and collected hospital-l…
Joint spatiotemporal evaluation of multiple healthcare resources: Hospitals, hospital beds and physicians across 365 Chinese cities over 22 years
Background: Regional disparities in healthcare resource allocation across space and time present significant challenges to the global achievement of SDG 3, SDG 10, and SDG 11. To this end, we proposed a joint spatiotemporal evaluation framework to assess the synergistic efficiency of multiple healthcare resources. Methods: Using China as a case study, we analyzed data from 365 cities (2000-2021) on three key healthcare resource indicators: hospit…
Spatiotemporal disparities in maternal mortality and the role of multiscale administrative levels: A 20-year study across Chinese counties
Background: China has made progress in reducing maternal mortality ratio (MMR), yet county-level spatiotemporal heterogeneity persists. This study aims to identify spatiotemporal disparities in MMR and quantify the impacts of various administrative levels on these disparities. Methods: to assess spatiotemporal disparities related to spatial inequity and geographic clustering. Additionally, we applied a Bayesian multiscale spatiotemporally varying…
The biogeophysical impacts of land cover change on climate extremes in the Arctic and Boreal regions
Land cover change (LCC)-climate interactions could amplify or mitigate climate change in the Arctic and Boreal regions. Revealing the impacts of LCC on climate extremes helps to improve risk assessment capability and provides targeted adaptation and mitigation strategies to enhance regional climate resilience. In this study, we parameterized remotely-sensed land cover maps into the Community Earth System Model version 2 (CESM2) to examine the bio…
Agricultural Geography and International Water Conflict: Evidence from Remotely Sensed Data
s As global warming intensifies water stress, the geopolitics of shared water resources have become increasingly urgent, complex, and contentious. This study investigates the role of agricultural geography—specifically the size, location, and spatial configuration of agricultural land—in shaping water stress and its management, ultimately influencing the likelihood of international water conflict. To empirically address these dynamics, we introdu…
Geography (9 works) · Environmental Science (6 works) · Climatology (5 works) · Geology (5 works) · Physical geography (5 works) · China (4 works) · Climate change (3 works) · Climate variability and models (3 works) · Ecology (3 works) · Environmental health (3 works)