Machine learning techniques for predicting depression and anxiety in pregnant and postpartum women during the COVID-19 pandemic: a cross-sectional regional study.

: Maternal depression and anxiety are significant public health concerns that play an important role in the health and well-being of mothers and children. The COVID-19 pandemic, the consequential lockdowns and related safety restrictions worldwide negatively affected the mental health of pregnant and postpartum women. This regional study aimed to develop a machine learning (ML) model for the prediction of maternal depression and anxiety.

COVID-19 Routes of Transmission, Protection Aids, and Immunity Enhancement: Community-Based Online Knowledge Survey Among Palestinians.

Aim: Coronavirus disease in 2019 has been defined as a pandemic by the World Health Organization. This study aimed to assess the level of knowledge toward the coronavirus disease 2019 among the Palestinian population.

Method: A cross-sectional online survey among 554 Palestinians was designed.

Urinary organophosphate metabolite levels in Palestinian pregnant women: results of the Middle East Regional Cooperation Project.

The purpose of the study was to measure urinary organophosphate (OP) metabolites in Palestinian pregnant women, and to compare levels with those in pregnant women in Jerusalem and women from the general population in Israel. We measured six dialkyl phosphates in urine samples collected from 148 pregnant women from the West Bank area. Median total dimethyl phosphate (DM(total)) levels were significantly lower in Palestinian women compared to Jerusalem pregnant women and women in Israel (p = 0.