Objective: To study the lag effect of temperature and the source of heterogeneity on other infectious diarrhea (OID) in Zhejiang province, so as to identify related vulnerable populations at risk. Methods: Data on OID and meteorology in Zhejiang province from 2014 to 2016 were collected. A two-stage model was conducted, including: 1) using the distributed lag non-linear model to estimate the city-specific lag effect of temperature on OID, 2) applying the multivariate Meta- analysis to pool the estimated city-specific effect, 3) using the multivariate Meta-regression to explore the sources of heterogeneity. Results: There were 301 593 cases of OID in Zhejiang province during the study period. At the provincial level, temperature that corresponding to the lowest risk of OID was 16.7 ℃, and the temperature corresponding to the highest risk was 6.2℃ (RR=2.298, 95%CI: 1.527- 3.459). 16.7 ℃ was recognized as the reference temperature. P₅ and P₉₅ of the average daily temperature represented low and high temperature respectively. When the temperature was cold, the risk was delayed by 2 days, with the highest risk found on the 5^th day (RR=1.057, 95%CI: 1.030-1.084) before decreasing to the 23^rd day. When the temperature got hot, the risk of OID occurred on the first day (RR=1.081, 95%CI: 1.045-1.118) and gradually decreasing to the 8^th day. Differences on heterogeneous sources related to the risks of OID in different regions, presented on urban latitude and the rate of ageing in the population. Conclusions Both high or low temperature could increase the risk of OID, with a lag effect noticed. Prevention program on OID should be focusing on populations living in the high latitude and the elderly population at the low temperature areas.

Objective To investigate the influencing factors associated with the comorbidity of inflammatory bowel disease (IBD) and depression. Methods A case-control study was conducted based on the ^“Healthcare Big Data Platform^” of a tertiary class-A comprehensive hospital in Shandong Province. IBD comorbid with depression was served as the case group and IBD without depression was served as the control group. Propensity score matching (PSM) was performed by matching the case group with the control group in a ratio of 1:2 according to the age and gender of the patients. Conditional logistic regression model was used to explore the influencing factors associated with the comorbidity of IBD and depression. Results A total of 405 patients with IBD were enrolled in this study, including 270 patients without depression and 135 patients comorbid with depression. The results of conditional logistic regression showed that the use of immunosuppressants (OR=2.84, 95% CI: 1.00-8.07) and glucocorticoids (OR=2.05, 95% CI: 1.17-3.58), dementia (OR=5.20, 95% CI:1.59-17.05), cardiovascular disease (OR=3.58, 95% CI: 1.84-6.98) and cancer (OR=2.63, 95% CI: 1.16-5.95) were associated with the comorbidity of depression and IBD. Conclusion Attention should be paid to the use of immunosuppressants and glucocorticoids in the population of IBD comorbid with depression, and the coexistence of physical diseases such as dementia, cardiovascular disease and cancer. Early prevention and targeted treatment measures should be taken for high-risk populations to reduce their risk of depression and improve their quality of life and health.