Digital health tracking tools help individuals lose weight, study finds
February 24, 2021. A new study led by Michele Patel, PhD, postdoctoral scholar at the Stanford Prevention Research Center researcher makes at least one thing clear: No matter which weight loss tactic you choose, you’re typically more successful if you track your progress with digital health tools.
Silicon Valley Prescribes ‘Big Data' to Combat COVID-19
February 10, 2021. Silicon Valley, long known for its innovation and technological prowess, is now crediting the emerging field of data analytics for expanding hospital capacity and allowing COVID-19 patients to be released from the hospital at faster rates.
Nigam Shah, professor of Biomedical Informatics and PHS faculty fellow and his team are building a database of COVID-19 patients that includes the race, age, medical history, and the course of treatment that worked and didn’t work.
Young Children's Prosocial Behavior Protects Against Academic Risk in Neighborhoods Facing Adversity
Kindness may be its own reward, but it seems that teaching children to care for others may also pay off in better results in class. Children who are kinder and more generous to their classmates score higher in tests and make more progress than those who are less helpful towards their peers. This is according to a new study published by phs faculty fellow, Ben Domingue, and in partnership with (Born in Bradford) in the UK. Access the full-text version of the study (PDF).
Precision Public Health Matters: An International Assessment of Communication, Preparedness, and Coordination for Successful COVID-19 Responses
The most powerful country on the planet was not expected to fall so easily to a virus. Yet 13 months after the outbreak of COVID-19, the United States continues to display some of the worst outcomes in the world: more than 23 million cases and 390 000 deaths.
Daily, weekly, seasonal and menstrual cycles in women's mood, behaviour and vital signs
Daily, weekly, seasonal and menstrual cycles in human behaviour, health and vital signs affect health and happiness. Jure Leskovec, Faculty Fellow, Stanford Center for Population Health Sciences, Associate Professor of Computer Science, School of Engineering co-authored this study.
Interpregnancy Interval and Subsequent Severe Maternal Morbidity: A Population-based Study from California over 16 years
Interpregnancy interval (IPI) associates with adverse perinatal outcomes, but its contribution to severe maternal morbidity (SMM) remains unclear. We examined the association between IPI and SMM, using data linked across sequential pregnancies to women in California 1997-2012. Suzan Carmichael, Faculty Fellow with the Stanford Center for Population Health Sciences contributed to this study.
Implementation outcomes of Humanwide: integrated precision health in team-based family practice primary care
Humanwide was precision health embedded in primary care aiming to leverage high-tech and high-touch medicine to promote wellness, predict and prevent illness, and tailor treatment to individual medical and psychosocial needs. Latha Palaniappan, Associate Faculty,Director, Education, Stanford Center for Population Health Sciences, Professor of Medicine (Primary Care and Population Health), co-authored this study.
Potential Influences of the COVID-19 Pandemic on Drug Use and HIV Care Among People Living with HIV and Substance Use Disorders
People living with HIV (PLWH) and substance use disorder (SUD) are particularly vulnerable to harmful health consequences of the global COVID-19 pandemic. The health and social consequences of the pandemic may exacerbate substance misuse and poor management of HIV among this population.
The political and security dimensions of the humanitarian health response to violent conflict
Complex political affiliations, the systematic use of explosive weapons and sexual violence, and the use of new communication technology, including social media, have created new challenges for humanitarian actors in negotiating access to affected populations and security for their own personnel. Stanford professor of pediatrics Paul Wise, co-authored this study along with other Stanford researchers.
Polygenic risk modeling with latent trait-related genetic components
Polygenic risk models have led to significant advances in understanding complex diseases and their clinical presentation.
This study was co-authored by Manuel Rivas, Faculty Fellow, Stanford Center for Population Health Sciences, Assistant Professor of Biomedical Data Science, School of Medicine.
Birth hospital and racial and ethnic differences in severe maternal morbidity in the state of California
Suzan Carmichael, Faculty Fellow with the Stanford Center for Population Health Sciences contributed to this study. Birth hospital has recently emerged as a potential key contributor to disparities in severe maternal morbidity, but investigations on its contribution to racial and ethnic differences remain limited.
The effects of armed conflict on the health of women and children
According to a study co-authored by PHS affiliated faculty member, Eran Bendavid, Associate Professor of medicine, women and children bear substantial morbidity and mortality as a result of armed conflicts. It is estimated that nearly 36 million children and 16 million women were displaced in 2017, on the basis of international databases of refugees and internally displaced populations.
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