1.Sampling methods and errors appearing in the China National Human Biomonitoring Program.
Z J CAO ; Y L QU ; F ZHAO ; L LIU ; S X SONG ; Y C LIU ; J Y CAI ; X M SHI
Chinese Journal of Epidemiology 2018;39(12):1642-1647
Objective: To explore the sampling method in China National Human Biomonitoring Program (HBP) and the related errors, so as to calculate and evaluate the study design in sampling. Methods: The sampling method of HBP is of multistage nature. Taking the results of sampling method from Guizhou province as an example, results related to sampling error and variation coefficient were calculated, using the multistage unequal probability sampling error method. Results: The HBP covered 152 monitoring sites in 31 provinces (autonomous regions and municipalities) and with 21 888 residents selected. The replacement rates at various stages were 5.26%, 6.35% and 40.6% respectively. The sampling error in Guizhou province was 3 207 594, and the coefficient of variation was 0.097. Conclusions: According to the multi-stage unequal probability sampling method, the sampling coefficient variability appeared small with high precision, in Guizhou province. However, this method did not consider the weight adjustment of non-sampling errors such as population missing rate and response rate. Methods related to the calculation on multi-stage sampling error among large-scale public health monitoring projects need to be further studied.
China
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Cities
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Environmental Monitoring
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Humans
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Research Design
2.Epidemiologic survey on the prevalence and distribution of infants' common gastrointestinal symptoms in 7 cities in China: a population-based study.
W J JI ; A M LIANG ; C Y QU ; R Y SHEN ; Z WEI ; Y MA
Chinese Journal of Epidemiology 2018;39(9):1179-1183
Objective: Regurgitation, infantile colic, and functional constipation are common gastrointestinal symptoms in childhood, the aim of this study was to explore the prevalence and distribution of these symptoms in China. Methods: A screening program in infants aged 0 to 3 years selected through stratified cluster random sampling was carried out in 7 cities in China. Questionnaires were filled, and then diagnosis were made according to Rome Ⅳ criteria. Areas, (urban-rural), age and gender distribution of prevalence of childhood common gastrointestinal symptoms were analyzed. Results: Totally, 20 932 effective questionnaires were returned. The total number of infants aged 0 to 1 years was 10 193. Regurgitation was diagnosed in 1 960 infants, with the prevalence of 19.2%, among infants aged 0 to 3 months that had highest prevalence (29.8%). The prevalence decreased with age, and differences among different age groups showed significant. For infantile colic, 4 470 infants aged 0 to 5 months were analyzed and the prevalence of infantile colic was 7.3%. The prevalence of infantile colic was the highest in infants aged 1 to 2 months (10.0%). Age specific difference was significant. Of all the infants, functional constipation was diagnosed in 1 755 infants with the prevalence of 8.4%, and the lowest prevalence was found in infants aged 0 to 3 months (6.2%), and the highest prevalence was in infants aged 30 to 36 months (10.0%). The differences in different age group were significant. Conclusion: Symptoms of regurgitation, infantile colic, and functional constipation are common in infants in China, with age specific difference in prevalence of the symptoms.
Age Distribution
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Child
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Child, Preschool
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China/epidemiology*
;
Cities
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Colic/epidemiology*
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Constipation/epidemiology*
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Gastrointestinal Diseases/epidemiology*
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Humans
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Infant
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Infant, Newborn
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Population Surveillance
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Prevalence
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Surveys and Questionnaires
3.Pathogenic surveillance and related factors on bacillary dysentery in Beijing, 2008-2017.
L JIA ; B LYU ; Y TIAN ; X ZHANG ; Z C LIU ; H PENG ; H J LI ; B J ZHEN ; X L WANG ; Y HUANG ; M QU ; Q Y WANG
Chinese Journal of Epidemiology 2019;40(2):165-169
Objective: To analyze the pathogenic surveillance programs and related factors on bacillary dysentery in Beijing, 2008-2017, to provide evidence for the practices of diagnosis, treatment and prevention of the disease. Methods: Analysis was conducted on surveillance data of bacillary dysentery, collected from the surveillance areas of national bacillary dysentery in Beijing. Shigella positive rate of stool samples were used as the gold standard while detection rate of Shigella, diagnostic accordance rate and resistance were computed on data from the surveillance programs. Chi-square test was used to compare the rates and unconditional logistic regression was used to analyze the related factors of Shigella infection. Results: Both the reported incidence rate on bacillary dysentery and detection rate of Shigella in diarrhea patients showed significantly decreasing trend, from 2008 to 2017. The accordance rate of bacillary dysentery was only 7.80% (111/1 423). Shigella sonnei was the most frequently isolated strain (73.95%, 159/215) followed by Shigella flexnery. Results from the multivariate logistic regression of Shigella positive rate revealed that among those patients who were routine test of stool positive vs. routine test of stool positive (OR=1.863, 95%CI: 1.402-2.475), onset from July to October vs. other months'time (OR=7.271, 95%CI: 4.514-11.709) temperature ≥38 ℃vs. temperature <38 ℃(OR=4.516, 95%CI: 3.369-6.053) and age from 6 to 59 years old vs. other ages (OR=1.617, 95%CI: 1.085-2.410), presenting higher positive detection rates of Shigella from the stool tests. The resistant rates on ampicillin and nalidixic acid were 97.57% (201/206) and 94.90% (186/196), both higher than on other antibiotics. The resistant rates on ciprofloxacin (16.33%, 32/196), ofloxacin (9.57%, 11/115) and on amoxilin (15.05%, 31/206) were relatively low. The resistant rate appeared higher on Shigella flexnery than on Shigella sonnei. The proportion of strains with resistance on 3 more drugs, was 30.00%(21/70). Conclusions: The diagnostic accordance rate of bacillary dysentery in Beijing was low, with severe resistance of Shigella. Our findings suggested that clinicians should take multiple factors into account in their practices about epidemiological history, clinical symptom and testing results for diarrhea patients.
Adolescent
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Adult
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Anti-Bacterial Agents/therapeutic use*
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Beijing/epidemiology*
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Child
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China/epidemiology*
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Dysentery, Bacillary/prevention & control*
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Feces/microbiology*
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Humans
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Middle Aged
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Population Surveillance/methods*
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Sentinel Surveillance
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Shigella/isolation & purification*
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Shigella flexneri/isolation & purification*
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Shigella sonnei/isolation & purification*
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Young Adult
4.Environmental sampling for SARS-CoV-2 at a reference laboratory and provincial hospital in central Viet Nam, 2020
Thá ; i Hù ; ng Đỗ ; Văn Thà ; nh Nguyễn ; Thế Hù ; ng Đinh ; Xuâ ; n Huy Lê ; ; Quang Chiê ; u Nguyễn ; Văn Quâ ; n Lê ; ; Bảo Triệu Nguyễn ; Ngọc Bí ; ch Ngâ ; n Nguyễn ; Thị Ngọc Phú ; c Nguyễn ; Kim Mai Huỳnh ; Hoà ; ng Long Trịnh ; Thị Kim Trang Lê ; ; Thù ; y Dung Diệp ; Thủy Thị Thu Đỗ ; Hiền Thị Thu Bù ; i ; Alyssa M Finlay ; Quốc Việt Nguyễn ; Philip L Gould
Western Pacific Surveillance and Response 2021;12(3):47-55
Objective: To determine whether environmental surface contamination with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) occurred at a provincial hospital in Viet Nam that admitted patients with novel coronavirus disease 2019 (COVID-19) and at the regional reference laboratory responsible for confirmatory testing for SARS-CoV-2 in 2020.
Methods: Environmental samples were collected from patient and staff areas at the hospital and various operational and staff areas at the laboratory. Specimens from frequently touched surfaces in all rooms were collected using a moistened swab rubbed over a 25 cm2 area for each surface. The swabs were immediately transported to the laboratory for testing by real-time reverse transcription polymerase chain reaction (RT-PCR). Throat specimens were collected from staff at both locations and were also tested for SARS-CoV-2 using real-time RT-PCR.
Results: During the sampling period, the laboratory tested 6607 respiratory specimens for SARS-CoV-2 from patients within the region, and the hospital admitted 9 COVID-19 cases. Regular cleaning was conducted at both sites in accordance with infection prevention and control (IPC) practices. All 750 environmental samples (300 laboratory and 450 hospital) and 30 staff specimens were negative for SARS-CoV-2.
Discussion: IPC measures at the facilities may have contributed to the negative results from the environmental samples. Other possible explanations include sampling late in a patient’s hospital stay when virus load was lower, having insufficient contact time with a surface or using insufficiently moist collection swabs. Further environmental sampling studies of SARS-CoV-2 should consider including testing for the environmental presence of viruses within laboratory settings, targeting the collection of samples to early in the course of a patient’s illness and including sampling of confirmed positive control surfaces, while maintaining appropriate biosafety measures.