This study revealed that the unmarried female migrant was one of the most vulnerable groups concerning SRH. In some policy reforms, appropriate and cost-effective SRH services should be provided for these migrants.

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Infectious diarrhea has high morbidity and mortality around the world. For this reason, diarrhea prediction has emerged as an important problem to prevent and control outbreaks. Numerous studies have built disease prediction models using large-scale data. However, these methods perform poorly on diarrhea data. To address this issue, this paper proposes a parsimonious model (PM), which takes historical outpatient visit counts, meteorological factors (MFs) and Baidu search indices (BSIs) as inputs to perform prediction. An experimental evaluation was done to compare the short-term prediction performance of ten algorithms for four groups of inputs, using data collected in Xiamen, China. Results show that the proposed method is effective in improving the prediction accuracy.

Poor sexual and reproductive health status has been reported among rural-to-urban migrants in China. Therefore, some effective and feasible interventions are urgently needed. The authors developed a workplace-based intervention to compare 2 young labor migrant service packages (A and B) on the knowledge, attitude related to contraception, and contraceptive use among unmarried male migrants in Chengdu. Fourteen construction sites were randomly assigned to either of the 2 intervention packages. Interventions were completed in 3 months, and data were collected in 2 rounds independently (before and after interventions). After the intervention, the median scores for knowledge and attitude in migrants in package B were significantly higher than in migrants in package A. Although migrants in both packages increased use of condom, the increase was pronounced in migrants in package B, with odds ratio (OR) = 9.65 (95% confidence interval [CI] = 1.41-66.28). The rate of unwanted pregnancies was reduced more significantly in migrants in package B than in migrants in package A (OR = 0.16; 95%CI = 0.03-0.45). Unmarried male migrants who received the comprehensive intervention (package B) were more willing to use condoms and avoid unwanted pregnancies effectively.

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