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Introduction
Publications
Publications (102)
Background
China has the third largest number of TB cases in the world, and the average annual floating population in China is more than 200 million, the increasing floating population across regions has a tremendous potential for spreading infectious diseases, however, the role of increasing massive floating population in tuberculosis transmission...
The Qinghai–Tibet Plateau has complex geomorphic features, which makes it difficult to interpolate surface air temperature precisely because of sparse samples and intensive spatial variations. Different interpolation methods have been developed, and they perform differently under various situations. The statistical errors of interpolation methods a...
The collapse of houses represents a prominent hazard associated with floods, mudslides, and other disastrous events resulting from extreme rainfall. Nevertheless, previous research in this area has been insufficiently dedicated to comprehending the factors that specifically contribute to house collapse triggered by extreme rainfall. This study ende...
Continued warming trends lead to an increasing risk of exposure to extreme heatwaves, which threaten the health of urban residents, especially the ageing population. Here, we project the spatiotemporal trend of future exposure risk across 9188 global urban settlements between 2020 and 2100 under the shared socioeconomic pathway (SSP) 2-4.5 and SSP5...
Spatial statistics is dominated by spatial autocorrelation (SAC) based Kriging and BHM, and spatial local heterogeneity based hotspots and geographical regression methods, appraised as the first and second laws of Geography (Tobler 1970; Goodchild 2004), respectively. Spatial stratified heterogeneity (SSH), the phenomena of a partition that within...
Accurate location-based big data has a high resolution and a direct interaction with human activities, allowing for fine-scale population spatial data to be realized. We take the average of Tencent user location big data as a measure of ambient population. The county-level statistical population data in 2018 was used as the assigned input data. The...
Spatial sampling is important for soil surveys and mapping, and the optimization of the sampling design is a hot topic. Most often in soil sampling, multiple purposes are usually involved and corresponding objectives need to be optimized as much as possible. In such cases, balanced optimization is needed to produce the best compromised solutions th...
Studies in environmental fields often suffer from air quality datasets incomplete at certain places and times. Here, a Spatial-Temporal Point Interpolation based on Biased Sentinel Hospitals Areal Disease Estimation (STPI-BSHADE) interpolation method was introduced to address this issue. The method was based on the spatial statistic trinity theory,...
Background:
Although significant correlations have been observed between air pollutants and the development of pulmonary tuberculosis (PTB) in many developed countries, data are scarce for developing and highly polluted regions.
Method:
A combined Poisson generalized linear regression-distributed lag nonlinear model was used to determine the ass...
BACKGROUND
China has one of the highest tuberculosis burdens in the world. However, the unbalanced spatial and temporal trends of the tuberculosis risk at fine level remain unclear.
OBJECTIVE
We intend to investigate the unbalanced risks of PTB at different levels and how they evolved in both temporal and spatial aspects using PTB notification dat...
Background
China has one of the highest tuberculosis (TB) burdens in the world. However, the unbalanced spatial and temporal trends of TB risk at a fine level remain unclear.
Objective
We aimed to investigate the unbalanced risks of pulmonary tuberculosis (PTB) at different levels and how they evolved from both temporal and spatial aspects using PT...
Governments worldwide have rapidly deployed non-pharmaceutical interventions (NPIs) to mitigate the COVID-19 pandemic. However, the effect of these individual NPI measures across space and time has yet to be sufficiently assessed, especially with the increase of policy fatigue and the urge for NPI relaxation in the vaccination era. Using the decay...
Background
Previous research pointed to a close relationship between the incidence of tuberculosis (TB) in aging populations and socio-economic conditions, however there has been lack of studies focused on a region of unbalanced socio-economic development. The aim of this paper is to explore the spatio-temporal variation in TB incidence and examine...
Background
Modern transportation plays a key role in the spread of SARS-CoV-2 and new variants. However, little is known about the exact transmission risk of the virus on airplanes.
Methods
Using the itinerary and epidemiological data of COVID-19 cases and close contacts on domestic airplanes departing from Wuhan city in China before the lockdown...
Worldwide governments have rapidly deployed non-pharmaceutical interventions (NPIs) to mitigate the COVID-19 pandemic, together with the large-scale rollout of vaccines since late 2020. However, the effect of these individual NPI and vaccination measures across space and time has not been sufficiently explored. By the decay ratio in the suppression...
Worldwide governments have rapidly deployed non-pharmaceutical interventions (NPIs) to mitigate the COVID-19 pandemic, together with the large-scale rollout of vaccines since late 2020. However, the effect of these individual NPI and vaccination measures across space and time has not been sufficiently explored. By the decay ratio in the suppression...
Background
Acute lower respiratory infections (ALRIs) caused by respiratory viruses are common and persistent infectious diseases worldwide and in China, which have pronounced seasonal patterns. Meteorological factors have important roles in the seasonality of some major viruses, especially respiratory syncytial virus (RSV) and influenza virus. Our...
Modern transportation plays a key role in the long-distance and rapid spread of SARS-CoV-2. However, little is known about the transmission risk of SARS-CoV-2 on confined vehicles, such as airplanes and trains. Based on the itinerary and epidemiological data of COVID-19 cases and close contacts among 9,265 airline passengers on 291 airplanes and 29...
Background
Identifying young HIV-infected individuals who are unaware of their status is a major challenge for HIV control in China. To address this, an innovative, anonymous vending machine-based urine self-collection for HIV testing (USCT) program was implemented in 2016 in colleges across China.
Methods
From June 2016 to December 2019, 146 vend...
Background: Acute lower respiratory infections present pronounced seasonal patterns. Meteorological factors are determinant factors for the seasonality of most viruses. Our aim is to identify the dominant meteorological factors and to model their effects on common respiratory viruses in different regions of China.Methods: We analyzed monthly respir...
The demand for elderly care in China is growing, and the elderly care industry has great development prospects. Climatic conditions are important factors that affect the health of elderly individuals and the development of the elderly care industry. This study will have important guiding significance for the layout of China’s elderly care industry....
Global large-scale urbanization has a deep impact on climate change and has brought great challenges to sustainable development, especially in urban agglomerations. At present, there is still a lack of research on the quantitative assessment of the relationship between urban scale and urban expansion and the degree of the urban heat island (UHI) ef...
With the increasingly close relations between cities in China, it is of great significance to explore the regular characteristics of the intercity connection. Through Tencent’s population migration heat and Baidu map big data, this paper analyzes the regular characteristics of the relations between complex cities based on such index as the rich nod...
Background: Previous studies had indicated that the incidence of Tuberculosis (TB) was closed related to the regional aging population and socio-economic condition. However, spatio-temporal variation and risk determinants of TB in aging population and socio-economic development unbalanced region have been unclear.
Methods: The data on TB registered...
Background: Train is a common mode of public transport across the globe; however, the risk of COVID-19 transmission among individual train passengers remains unclear.
Methods: We quantified the transmission risk of COVID-19 on high-speed train passengers using data from 2,334 index patients and 72,093 close contacts who had co-travel times of 0–8...
A range of environmental constraints including air pollution are now of widespread concern in China because of rapid urbanization. Here we explore the spatiotemporal evolution of population exposure to particulate matter with diameter not greater than 2.5 μm (PM2.5) within the Beijing-Tianjin-Hebei urban agglomeration (BTHU) at a fine spatial resol...
Geostatistical interpolation methods are used in diverse disciplines, such as environmental science, ecology, and hydrology. With the increasing availability of areal spatial data, area-to-area and area-to-point interpolations have great application potential. In this study, based on the variogram deconvolution algorithm proposed by Goovaerts (2008...
Background: China has the largest population and third largest number of tuberculosis cases in the world. Tuberculosis still remains a major public health concern in China. The increasing floating population has become an important part of China’s socioeconomic process and brought the potential risk for infectious disease transmission in the huge p...
Background: China has the third largest number of TB cases in the world, and the average annual floating population in China is more than 200 million, the increasing floating population across regions has a tremendous potential for spreading infectious diseases, however, the role of increasing massive floating population in tuberculosis transmissio...
Background
China has the third largest number of TB cases in the world, and the average annual floating population in China is more than 200 million, the increasing floating population across regions has a tremendous potential for spreading infectious diseases, however, the role of increasing massive floating population in tuberculosis transmission...
Background:
Scrub typhus is a life-threatening disease caused by Orientia tsutsugamushi, and specific antimicrobial medicine is available. Early and accurate diagnosis is essential for reducing the risk of severe complications and death. In this study, we aimed to evaluate the case diagnosis situation among medical care institutions and geographic...
Background: In China, the cases of newly diagnosed HIV/AIDS in men who have sex with men (MSM) has increased more than tenfold since 2006. However, the MSM population size, geographical distribution, and migration patterns are largely unknown.
Objectives: Our aim is to estimate the number, spatial distribution, and migration of MSM populations in m...
When a marine study area is large, the environmental variables often present spatially stratified non-homogeneity, violating the spatial second-order stationary assumption. The stratified non-homogeneous surface can be divided into several stationary strata with different means or variances, but still with close relationships between neighboring st...
The marine environment is rigorously protected in the Yangtze River Estuary (YRE) and its adjacent sea, and routine monitoring is constantly upgraded. Therefore, scientific and efficient monitoring programmes are needed. Nitrogen is one of the most serious pollutants in the YRE. Obtaining the precise pollution areas of water quality grades (WQGs) a...
Background:
Lung cancer is the most common cancer in China. Previous studies have indicated that lung cancer incidence exhibits remarkable spatial heterogeneity, and lung cancer is related to outdoor air pollution. However, the non-linear spatial association between outdoor air pollution and lung cancer incidence in China remains unclear.
Methods...
BACKGROUND
In China, the cases of newly diagnosed HIV/AIDS in men who have sex with men (MSM) have increased more than tenfold since 2006. However, the MSM population size, geographical distribution, and migration patterns are largely unknown.
OBJECTIVE
Our aim is to estimate the number, spatial distribution, and migration of MSM populations in ma...
Nitrogen is one of the most significant pollutants in the Yangtze River estuary (YRE), China. Reliable estimation of nitrogen concentration in the water is crucial for assessment of the water quality of the estuary. Because ocean fronts exist in the YRE, which divide water masses into different regions, it is necessary to account for the heterogene...
The large human migration between different areas in China indicates unequal urban and economic development under the background of rapid urbanization and rush for economic growth. Based on social networking big data, we analyzed the difference of population distribution during the Spring Festival holiday and the non-holiday periods. We find that t...
Surface water quality is a matter of serious concern in China. This study quantitatively analyzes the spatial–temporal characteristics of surface water quality among 100 monitoring stations in China during 2015. A geographical detector was used to detect the influential annual and seasonal factors. Surface water quality is primarily controlled by t...
Water quality is critical to ensure that marine resources and the environment are utilized in a sustainable manner. The objective of this study is therefore to investigate the optimum placement of marine environmental monitoring sites to monitor water quality in Shanghai, China. To improve the mapping or estimation accuracy of the areas with differ...
Aerosol is an important component of the atmosphere that affects the environment, climate, and human health. Remote sensing is an efficient observation method for monitoring global aerosol distribution and changes over time. The daily Moderate Resolution Imaging Spectroradiometer (MODIS) level-2 aerosol optical depth (AOD) (Collection 6) product (1...
Previous research suggested an association between maternal exposure to ambient air pollutants and risk of congenital heart defects (CHDs), though the effects of particulate matter ≤10μm in aerodynamic diameter (PM10) on CHDs are inconsistent. We used two machine learning models (i.e., random forest (RF) and gradient boosting (GB)) to investigate t...
In an ideal early warning system, early warning signals would be triggered based on reliable surveillance data, which could usually not be acquired under the situation of sentinel surveillance, due to the potential variance and bias. In this chapter, two new models are introduced to reduce them separately. One model is the means of surface with non...
The geographical extent, magnitude, and uncertainty of global climate change have been widely discussed and have critical policy implications at both global and local scales. In this study, a new analysis of annual mean global land surface air temperature since 1880 was generated, which has greater coverage and lower uncertainty than previous distr...
Although many studies examined the effects of fine particulate matter (PM2.5) on the deaths of cardiovascular disease (CVD) and respiratory disease (RD), few research has paid attention to the effects of prolonged continuous exposure to high PM2.5 pollution. This study estimated the excess risks (ER) of CVD and RD mortalities associated with prolon...
Objective
A solid understanding of levels and trends of spending on cancer is important to evaluate whether our healthcare resources were wisely spent and to prioritize future resources for cancer treatment and prevention. However, studies on economic burden of cancers in China are scant and the results are inconsistent.
Methods
The Chinese hospit...
Air pollution has become more serious in many developing countries. Heavy particulate matter (PM) air pollution is a major threat to people's respiratory and cardiopulmonary health. It is an important problem for public health research to accurately estimate the spatial distribution of high PM concentrations from a limited number of monitoring stat...
The estimation of disease prevalence in online search engine data (e.g., Google Flu Trends (GFT)) has received a considerable amount of scholarly and public attention in recent years. While the utility of search engine data for disease surveillance has been demonstrated, the scientific community still seeks ways to identify and reduce biases that a...
Information on keyword selection, the composition process and the GFT experiment.
This document illustrates how we selected and composed the keywords. An experiment was conducted on GFT to observe the spatial distribution of correlations between GFT and the number of influenza-like illness cases occurring in the U.S. from 2003 to 2015.
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Behaviors of the guardians of children who either suffer from or who are at risk of contracting HFMD.
When individuals use the Internet to find related information, data are collected by Internet companies and are stored in an online database; when individuals go to hospitals, these cases are also recorded by doctors, resulting in the formation of...
Keywords related to HFMD with a maximum cross-correlation coefficient of more than 0.6.
“Corr” denotes the Pearson correlation coefficient, “Max Cross Corr” is the maximum cross correlation between the HFMD cases and keyword search index, “Ahead Weeks” denotes the number of weeks ahead of the current week when the maximum cross correlation occurred...
The correlation of real cases and the composite index for 21 cities.
This table shows the correlation between the composite index and HFMD cases for 21 cities from 2009 to 2011. The correlations of all of the cities are significant at the 0.01 level. Cities listed in bold are the selected sample cities.
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Keywords related to HFMD with Pearson correlation coefficients exceeding a value of 0.4.
This table presents the Chinese and English names of keywords with a Pearson correlation coefficient of more than 0.4 for HFMD cases.
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Distribution of HFMD cases and the composite index for Guangdong Province (2009 to 2011).
The small map on the top left shows the positioning of Guangdong Province in China. The large map shows the spatial distribution of HFMD cases (red dots) and the composite index (base map) for Guangdong Province. Maps were created in ArcGIS 10.2 (Environmental...
When investigating the impact of air pollution on health, particulate matter less than 2.5 μm in aerodynamic diameter (PM2.5) is considered more harmful than particulates of other sizes. Therefore, studies of PM2.5 have attracted more attention. Beijing, the capital of China, is notorious for its serious air pollution problem, an issue which has be...
Background
The incidence of both gestational diabetes mellitus and preeclampsia is on the rise; however, these pregnancy complications may not be systematically reported. This study aimed to examine differences in reporting of preeclampsia and gestational diabetes between hospital records and birth certificate data, and to determine if such differe...
Statistical analyses were carried out on the characteristics of haze weather and their relation with air quality and meteorological factors using data recorded by the national air quality and meteorological monitoring network of Chongqing, China in 2013. The results showed that the hourly occurrence rate of haze in Chongqing was 81.3% and that 67.2...
For obtaining maps of good precision by the spatial inference method, the distribution of sampling sites in geographical and feature space is very important. For a regional variable with trends, the predicting error comes from trend estimation, variogram estimation and spatial interpolation. Based on the cLHS (conditioned Latin hypercube Sampling)...
Background
Detailed spatial location information is important in accurately estimating personal exposure to air pollution. Global Position System (GPS) has been widely used in tracking personal paths and activities. Previous researchers have developed time-activity classification models based on GPS data, most of them were developed for specific re...
This study presented a method to estimate areal mean rainfall (AMR) using a Biased Sentinel Hospital Based Area Disease Estimation (B-SHADE) model, together with biased rain gauge observations and Tropical Rainfall Measuring Mission (TRMM) data, for remote areas with a sparse and uneven distribution of rain gauges. Based on the B-SHADE model, the b...
Validation over heterogeneous areas is critical to ensuring the quality of remote sensing products. This paper focuses on the sampling methods used to validate the coarse-resolution fractional vegetation cover (FVC) product in the Heihe River Basin, where the patterns of spatial variations in and between land cover types vary significantly in the d...
To reveal the spatio-temporal distribution of malaria vectors in the national malaria surveillance sites from 2005 to 2010 and provide reference for the current National Malaria Elimination Programme (NMEP) in China.
A 6-year longitudinal surveillance on density of malaria vectors was carried out in the 62 national malaria surveillance sites. The s...
Sensible heat flux (H) plays an important role in characterizations of land surface water and heat balance. There are various types of H measurement methods that depend on observation scale, from local-area-scale eddy covariance (EC) to regional-scale large aperture scintillometer (LAS) and remote sensing (RS) products. However, methods of converti...
An efficient monitoring network is very important in accessing the marine environmental quality and its protection and management. In an estuary, there are fronts that separate distinctly different water masses and affect material transport, nutrient distribution, pollutant aggregation, and diffusion. This stratified heterogeneous surface neither s...