Spatiotemporal Trend Analysis of Precipitation Extremes in Ho Chi Minh City, Vietnam During 1980–2017

In this study,the spatiotemporal variability of trends in extreme precipitation events in Ho Chi Minh City during the period 1980–2017 was analyzed based on several core extreme precipitation indices(Rx1 day,Rx5 day,CDD,CWD,R20 mm,R25 mm,R95 p,and SDII).The nonparametric Mann–Kendall and Sen’s slope methods were used to compute the statistical strength,stability,and magnitude of trends in annual rainfall,as well as the extreme precipitation indices.We found that 64%of the stations had statistically significant upward trends in yearly rainfall,with high magnitudes frequently observed in the northern and southern regions of the city.For the extreme precipitation indices,only SDII and R25 mm showed dominantly significant trends.Additionally,there were increasing trends in the frequency and duration at the southern and central regions of the city during the study period.Furthermore,El Ni?o-Southern Oscillation and Pacific Decadal Oscillation positively correlated with the duration and negatively correlated with the intensity and frequency of extreme precipitation.Thus,water management plans should be adjusted appropriately to reduce the severe impacts of precipitation extremes on communities and ecosystems.

Identification and Visualization of Spatial and Temporal Trends in Textile Industry

The research volume increases at the study rate,causing massive text corpora.Due to these enormous text corpora,we are drowning in data and starving for information.Therefore,recent research employed different text mining approaches to extract information from this text corpus.These proposed approaches extract meaningful and precise phrases that effectively describe the text’s information.These extracted phrases are commonly termed keyphrases.Further,these key phrases are employed to determine the different fields of study trends.Moreover,these key phrases can also be used to determine the spatiotemporal trends in the various research fields.In this research,the progress of a research field can be better revealed through spatiotemporal bibliographic trend analysis.Therefore,an effective spatiotemporal trend extraction mechanism is required to disclose textile research trends of particular regions during a specific period.This study collected a diversified dataset of textile research from 2011–2019 and different countries to determine the research trend.This data was collected from various open access journals.Further,this research determined the spatiotemporal trends using quality phrasemining.This research also focused on finding the research collaboration of different countries in a particular research subject.The research collaborations of other countries’researchers show the impact on import and export of those countries.The visualization approach is also incorporated to understand the results better.

Meta-analysis on the epidemiology of gastroesophageal reflux disease in China

BACKGROUND No large-scale epidemiological survey on the prevalence of gastroesophageal reflux disease(GERD)in China has been conducted.China has a large population and a complex geographical environment.It is important to understand the prevalence and spatial distribution of GERD in China.AIM To explore the prevalence and the spatial,temporal,and population distributions of GERD in the natural Chinese population.METHODS We searched Chinese and English databases for literature on the prevalence of GERD in the natural Chinese population.The prevalence of GERD was pooled using a random-effects meta-analysis model.Subgroup analysis was performed according to time,region,and population.We used ArcGIS software to draw statistical maps and trend analysis charts.Spatial autocorrelation analysis was carried out using Geoda software.Spearman correlation analysis was used to assess the spatial distribution relationship between GERD and upper digestive tract tumours.RESULTS Altogether,70 studies involving 276014 individuals from 24 provinces of China were included.The overall pooled prevalence of GERD was 8.7%(95%CI:7.5%-9.9%)in China's Mainland.Over the past two decades,the prevalence of GERD in China has increased from 6.0%to 10.6%.GERD was more common in people aged 40-60,with body mass index≥24,and of Uygur ethnicity.The prevalence was higher in the west and east than in the centre,and there may be a local spatial autocorrelation between the Qinghai-Tibet Plateau and the southeast.GERD was correlated with gastric(r=0.421,P=0.041)and oesophageal tumours(r=0.511,P=0.011)in spatial distribution.CONCLUSION GERD is becoming common in China.The prevalence differs by region and population.The development of appropriate strategies for the prevention and treatment of GERD is needed.

Epidemiological shift and geographical heterogeneity in the burden of leptospirosis in China

Background:Leptospirosis morbidity and mortality rates in China have decreased since the 2000s.Further analyses of the spatiotemporal and demographic changes occurring in the last decade and its implication on estimates of disease burden are required to inform intervention strategies.In this study,we quantified the epidemiological shift and geographical heterogeneity in the burden of leptospirosis during 2005-2015 in China.Methods:We used reported leptospirosis case data from 1st January 2005 to 31st of December 2015 that routinely collected by the China Information System for Disease Control and Prevention(CISDCP)to analyze the epidemiological trend and estimate the burden in terms of disability-adjusted life-years(DALYs)over space,time,and demographical groups.Results:A total of 7763 cases were reported during 2005-2015.Of which,2403(31%)cases were the laboratoryconfirmed case.Since 2005,the notified incidence rate was gradually decreased(P<0.05)and it was relatively stable during 2011-2015(P>0.05).During 2005-2015,we estimated a total of 10313 DALYs were lost due to leptospirosis comprising a total of 1804 years-lived with disability(YLDs)and 8509 years-life lost(YLLs).Males had the highest burden of disease(7149 DALYs)compared to females(3164 DALYs).The highest burden estimate was attributed to younger individuals aged 10-19 years who lived in southern provinces of China.During 2005-2015,this age group contributed to approximately 3078 DALYs corresponding to 30%of the total DALYs lost in China.Yet,our analysis indicated a declining trend in burden estimates(P<0.001)since 2005 and remained relatively low during 2011-2015.Low burden estimates have been identified in the endemic regions where infections principally distributed.Most of the changes in DALY estimates were driven by changes in YLLs.Conclusions:In the last 11-years,the burden estimates of leptospirosis have shown a declining trend across the country;however,leptospirosis should not be neglected as it remains an important zoonotic disease and potentially affecting the young and productive population in economically less-developed provinces in southern of China.In addition,while in the last five years the incidence has been reported at very low-level,this might not reflect the true incidence of leptospirosis.Strengthened surveillance in the endemic regions is,hence,substantially required to capture the actual prevalence to better control leptospirosis in China.