Pi Guo

Dr. Pi Guo


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 January 2022 in Environmental Science & Technology
Verified
Journal Article
Open access
SHShumin Huang
Shumin Huang
XHXiaoxin Huang
Xiaoxin Huang
RBRan Bi
Ran Bi
QGQiuxia Guo
Qiuxia Guo
XYXiaolin Yu
Xiaolin Yu
PGPi Guo
Pi Guo
Microplastic pollution is an emerging environmental problem, and little research has focused on its impact on the human body. Based on retrospective case series, the study required participants to fill out a questionnaire and provide sputum samples in order to investigate the presence of microplastics in human sputum and determine whether humans involuntarily inhale them. A total of 22 patients suffering from different respiratory diseases were recruited. We used an Agilent 8700 laser infrared imaging spectrometer and Fourier-transform infrared microscope to analyze sputum samples and evaluate microplastics in the respiratory tract. Remarkably, the size range of the method for detecting microplastics in our study is 20–500 μm. The results showed that 21 types of microplastics were identified, and polyurethane was dominant, followed by polyester, chlorinated polyethylene, and alkyd varnish, accounting for 78.36% of the total microplastics. Most of the aspirated microplastics detected are smaller than 500 μm in size (median: 75.43 μm; interquartile range: 44.67–210.64 μm). Microplastics are ubiquitous in all sputum, indicating that inhalation is a potential way for plastics to enter the human body. Additionally, the quantities of microplastic types in the respiratory tract are related to smoking, invasive examination, etc. (P < 0.05). This study sheds new light on microplastic exposure, which provides basic data for the risk assessment of microplastics to human health.

1 September 2020 in Environmental Research
Verified
Journal Article
Closed access
GHGuanhao Huang
Guanhao Huang
QZQin Zhang
Qin Zhang
HWHaisheng Wu
Haisheng Wu
QWQiling Wang
Qiling Wang
YCYuliang Chen
Yuliang Chen
QZQingguo Zhao
Qingguo Zhao

14 September 2024 in Nature Communications
Verified
Journal Article
Open access
PDF file
HNHaobo Ni
Haobo Ni
XCXiaoyan Cai
Xiaoyan Cai
JRJiarong Ren
Jiarong Ren
TDTingting Dai
Tingting Dai
JZJiayi Zhou
Jiayi Zhou
PGPi Guo
Pi Guo
China has experienced successive waves of dengue epidemics over the past decade. Nationwide data on 95,339 dengue cases, 89 surveillance sites for mosquito density and population mobility between 337 cities during 2013-20 were extracted. Weekly dengue time series including time trends and harmonic terms were fitted using seasonal regression models, and the amplitude and peak timing of the annual and semiannual cycles were estimated. A data-driven model-inference approach was used to simulate the epidemic at city-scale and estimate time-evolving epidemiological parameters. We found that the geographical distribution of dengue cases was expanding, and the main imported areas as well as external sources of imported cases changed. Dengue cases were predominantly concentrated in southern China and it exhibited an annual peak of activity, typically peaking in September. The annual amplitude of dengue epidemic varied with latitude (F = 19.62, P = 0.0001), mainly characterizing by large in southern cities and small in northern cities. The effective reproduction number Reff across cities is commonly greater than 1 in several specific months from July to November, further confirming the seasonal fluctuations and spatial heterogeneity of dengue epidemics. The results of this national study help to better informing interventions for future dengue epidemics in China.

30 April 2019 in Global Health Research and Policy
Verified
Journal Article
Open access
PDF file
YHYun Huang
Yun Huang
PGPi Guo
Pi Guo
BKBiraj Man Karmacharya
Biraj Man Karmacharya
SSSharvesh Raj Seeruttun
Sharvesh Raj Seeruttun
DXDong (Roman) Xu
Dong (Roman) Xu
YHYuantao Hao
Yuantao Hao
Studies regarding blood pressure of Nepal have demonstrated a contrasting prevalence. We aimed at providing a generalized estimate of the prevalence of hypertension and prehypertension in urban, suburban, and rural areas of Nepal. This systematic review followed PRISMA guidelines. A thorough search of PubMed, EMBASE, and Web of Science was performed, and studies satisfying the eligibility criteria were reviewed. Pooled prevalence was calculated by random-effects model, and the sources of heterogeneity were explored with meta-regression and subgroup analysis. Twenty-three studies with 99,792 subjects were identified, and the estimated rate of hypertension and prehypertension were found to be 27.3% (95% CI: 23.8–30.9) and 35.4% (30.3–40.8). The prevalence of hypertension was 28.4% (22.4–34.7), 25.5% (21.4–29.8), and 24.4% (17.9–31.6) among urban, suburban, and rural populations, respectively. Moreover, rates of hypertension were found to be substantially higher in male (31.6%, 27.3–36.1) compared to female (20.0%, 14.2–26.6), and significantly higher among the middle-aged (≥40 years; 36.8%, 29.4–44.5) than among younger adults (< 40 years; 13.2%, 9.2–17.7). Further, prehypertension prevalence was found to be highest in rural areas (40.4%, 25.4–56.4) followed by urban areas (29.3%, 20.8–38.5) and lowest in suburban areas (25.5%, 18.9–32.7). Our study identified an alarming situation of hypertension among Nepalese males and middle-aged, and a situation of concern with prehypertension in rural areas affecting almost 40 % of the population.

PGPi Guo
Pi Guo
YWYulin Wang
Yulin Wang
WFWenru Feng
Wenru Feng
JWJiagang Wu
Jiagang Wu
CFChuanxi Fu
Chuanxi Fu
HLHuazhang Liu
Huazhang Liu
Data on the association between air pollution and risk of ischemic stroke in China are still limited. This study aimed to investigate the association between short-term exposure to ambient air pollution and risk of ischemic strokes in Guangzhou, the most densely-populated city in south China, using a large-scale multicenter database of stroke hospital admissions. Daily counts of ischemic stroke admissions over the study years 2013–2015 were obtained from the Guangzhou Cardiovascular and Cerebrovascular Disease Event Surveillance System. Daily particulate matter <2.5 μm in diameter (PM2.5), sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), and meteorological data were collected. The associations between air pollutants and hospital admissions for stroke were examined using relative risks (RRs) and their corresponding 95% confidence intervals (CIs) based on time-series Poisson regression models, adjusting for temperature, public holiday, day of week, and temporal trends in stroke. Ischemic stroke admissions increased from 27,532 to 35,279 through 2013 to 2015, increasing by 28.14%. Parameter estimates for NO2 exposure were robust regardless of the model used. The association between same-day NO2 (RR = 1.0509, 95% CI: 1.0353–1.0668) exposure and stroke risk was significant when accounting for other air pollutants, day of the week, public holidays, temperature, and temporal trends in stroke events. Overall, we observed a borderline significant association between NO2 exposure modeled as an averaged lag effect and ischemic stroke risk. This study provides data on air pollution exposures and stroke risk, and contributes to better planning of clinical services and emergency contingency response for stroke.

22 August 2022 in Science of The Total Environment
Verified
Journal Article
Closed access
LXLina Xiao
Lina Xiao
QWQiling Wang
Qiling Wang
HNHaobo Ni
Haobo Ni
TXTing Xu
Ting Xu
QZQinghui Zeng
Qinghui Zeng
XZXinzong Zhang
Xinzong Zhang