We present a population-based System Dynamics Model (SDM) of possible Covid-19 trajectories under various intervention options in the uniqueness of Kenya. We developed a stock and flow based SDM. We parametrized the SDM using published data and where data was not available, expert opinion was sought. Following validation test, the model was simulated to determined possible outcomes of non-pharmaceutical interventions in management of Covid-19. We simulate the possible impact of; social distancing, quarantining, curfew and cross-county travel restriction, lockdown of selected cities in Kenya and quarantining. We varied interventions in terms of start dates, duration of implementation and effectiveness of the interventions. We estimated the outcomes in terms of number of possible infections, recoveries and deaths. With the current state of interventions, we estimated a peak of Covid-19 in September 2020 with an estimated 13.5 Million Covid-19 cases and 33.8 thousand deaths in Kenya. The largest possible reduction in infections and mortality was achievable through increase in the effectiveness of the interventions. The suggested interventions would delay the epidemic peak of Covid-19 to between late Nov 2020 and early December 2020 with an estimated13M cases a 500 thousand reduction in Covid-19 cases and 32.4 deaths( a reduction in 1400 deaths). We conclude that SDM enables an understanding of the complexity and impact of different intervention scenarios of Covid-19 in Kenya.

Background:The expectation of a woman during pregnancy is to have a healthy live bay with no complications. Admission of a newborn baby to the newborn unit is distressing to the parents, more so in cases where there is little or no support from the health care team and other players.Objective: To establish factors contributing to emotional distress among postpartum mothers with newborns at newborn unit Kenyatta National Hospital, Kenya.Method: This was a descriptive cross-sectional study employing a quantitative method by use of an interviewer-administered questionnaire. The study was conducted among 59 postpartum mothers with newborns at the Newborn Unit Kenyatta National Hospital. Simple random sampling technique was employed and data collected using a pretested semi-structured questionnaire. Data was analyzed using Statistical Package for The Social SPSS version 25 software. Qualitative data was coded, categorized into themes and thematic analysis done. Results:The factors contributing to maternal emotional distress were low levels of education primary 14(23.7%) and secondary 23(39.0%) and unemployment 27(45.8%). In addition, lengthy NBU stays 34(57.6%), ineffective communication patterns 18(30.5%) and null communication 9(15.3%) between mothers and the healthcare givers contributed to emotional distress. Conclusion:There are sociodemographic, socioeconomic, and hospital factors contributing to maternal emotional distress.