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WPRIM Management System>
DCMS
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Chinese Journal of Epidemiology
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2020
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41
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8
Volume:
41
Issue:
8
1. Interim guidelines for prevention and control of COVID-19 for oversea returnees.
Page:1197—1198
2. Interim guidelines for prevention and control of COVID-19 for students back to school.
Page:1195—1196
3. Guideline for epidemiological investigation of coronavirus disease 2019 (T/BPMA 0003-2020).
Page:1184—1191
4. Guidelines for personal protection against coronavirus disease 2019 for deseases control person (T/BPMA 0002-2020).
Page:1180—1183
5. Technical requirements for preventive disinfection against coronavirus disease 2019 (T/BPMA 0001-2020).
Page:1175—1179
6. Interpretation for the group standards in guidelines for personal protection against coronavirus disease 2019 for diseases control person
Page:1192—1194
7. Challenges and factors that influencing causal inference and interpretation, based on Mendelian randomization studies
Page:1231—1236
8. Study on the relationship between sleep-related problems and dyslipidemia among adults in Beijing
Page:1250—1255
9. Spatio-temporal clustering of hepatitis A in Gansu provice, 2004-2018
Page:1319—1323
10. Relationship between both duration and quality of sleep, and metabolic syndrome identified by classification tree model in midlife population in Tianjin
Page:1266—1271
11. Analysis on genetic characteristics of H9N2 avian influenza virus isolated from human infection and external environment in Gansu province
Page:1345—1351
12. Association between sleep and serum hemoglobin A1c in nondiabetic population in Beijing
Page:1256—1260
13. Percentile reference value of waist circumference for Chinese children aged 3-7 years
Page:1286—1290
14. Predictive ability of risk assessment tool regarding HIV infection for men who have sex with men
Page:1324—1327
15. Relationship between both quality and duration of sleep and type 2 diabetes in middle-aged and elderly people in Shanghai
Page:1261—1265
16. Characteristics of HIV-1 genotype and drug resistance among men who have sex with men in Kunming, 2018
Page:1335—1340
17. Association between dietary glycemic load during first trimester and the risk of gestational diabetes mellitus: a prospective study
Page:1352—1358
18. Association between sleep status and prevalence of major chronic diseases
Page:1237—1241
19. Relationship between eating behavior and obesity among Chinese adults
Page:1296—1302
20. A Meta-analysis on the association between sleep duration and metabolic syndrome in adults
Page:1272—1279
21. Pattern of sugar-sweetened beverages consumption—based on group-based trajectory modeling and its association with childhood periodontal health
Page:1308—1312
22. Epidemiology of syphilis in Zhejiang province, 2010-2019
Page:1313—1318
23. Status of sleep and influencing factors in employed floating population in China
Page:1242—1249
24. Evaluation of the emergency response strategies and measures on the epidemic of COVID-19 in Shenzhen, China
Page:1225—1230
25. Epidemiological characteristics of serum vitamin B 12 and folate levels in women awaiting delivery
Page:1359—1364
26. Development and applications of makeshift emergency hospitals
Page:1199—1203
27. Characteristics on molecular epidemiology of Brucella melitensis in Jiangxi province
Page:1341—1344
28. Association between perceived built environment attributes and adults’ leisure-time physical activity in four cities of China
Page:1280—1285
29. Pre-pregnancy BMI, gestational diabetes and different indicators of childhood obesity at the age of four: a prospective cohort study
Page:1303—1307
30. Investigation on two family clusters of COVID-19 in a county of Baotou city in Inner Mongolia Autonomous Region
Page:1210—1213
31. Typical case analysis of COVID-19 cluster epidemic in Shaanxi, 2020
Page:1204—1209
32. Characteristics and diversity of infectious diarrheal caused by various pathogens
Page:1328—1334
33. Epidemiological characteristics of COVID-19 monitoring cases in Yinzhou district based on health big data platform
Page:1220—1224
34. Analysis of family influencing factors of dietary behavior pattern of children and adolescents
Page:1291—1295