抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1（PfPMP1）与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员，通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

Statistical method for testing the neutral mutation hypothesis by DNA polymorphism.

The psychological impact of quarantine and how to reduce it: rapid review of the evidence.

世界経済・社会統計 = World development indicators

https://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(08)61690-6.pdf

Closing the gap in a generation: health equity through action on the social determinants of health

Food insecurity, stressful life events, poverty, and the risk of common mental disorders in East Africa: Evidence from the Gilgel Gibe Growth and Development Study.

Gene-environment interaction research in youth depression: a systematic review with recommendations for future research

Introduction Income inequality between the richest 20% and the poorest 80% in the United States has been increasing over the past two decades. Emerging evidence indicates widening disparities between the two groups in cardiovascular disease prevalence as well. However, the mechanisms behind this trend remains unclear. This analysis examines whether a similar trend exists in the levels of biomarkers and risk factors of cardiovascular disease in the United States. Methods We conducted a serial cross-sectional analysis of a nationally representative data from the National Health and Nutrition Examination Survey (NHANES) for participants age 20 or older between 1999 and 2018. We calculated trends in age-standardized means of body mass index (BMI), systolic blood pressure (SBP), and high-density lipoproteins (HDL) and the trend in prevalence of obesity, high SBP, and low HDL by income group. Results This analysis included 49,764 participants. Age-standardized mean BMI increased every two years by an average of 0.15 kg/m 2 among the richest 20% and by an average of 0.21 kg/m 2 among the poorest 80%. Age-standardized mean SBP decreased every two years by an average of 0.13 mm Hg among the richest 20% and by an average of 0.10 mm Hg among the poorest 80%. Age-standardized mean HDL increased every two years by an average of 0.39 mg/dL among the richest 20% and by an average of 0.19 mg/dL among the poorest 80%. When adjusted for demographic factors and time, the richest 20% had lower mean BMI (OR = −0.67, 95% CI: −0.89, - 0.44), lower mean SBP (OR = −0.72, 95% CI: −1.24, −0.20), and higher mean HDL (OR = 3.04, 95% CI: 2.46, 3.62) compared to the poorest 80% Conclusion There are increasing disparities in cardiovascular disease biomarkers by income in the US. Between 1999 and 2018, improvement in biomarkers overwhelmingly occurred among the richest 20%

Trends of biomarkers of cardiovascular disease in the United States by income: Disparities between the richest 20% and the poorest 80%,1999–2018

Urban health is the study of urban characteristics that can influence health and disease in the urban context. These characteristics include features of the social and physical environment as well as of the urban resource infrastructure. Features of the social and physical environment and the urban resource infrastructure in turn are shaped by municipal, national, and global forces and trends. This article introduces the reader to urban health concepts, including the definition of ‘urban,’ features of the urban environment that may influence health, and a selection of methods for evaluating the impact of urban living on health.

/pdf/urban-health-systems-overview-3nogqxz5ko.pdf

Urban Health Systems: Overview

OBJECTIVE This study aimed to examine factors associated with receipt of post-disaster support from network (eg, family or friends) and non-network (eg, government agencies) sources. METHODS Participants (n=409) were from a population-based sample of Hurricane Sandy survivors surveyed 25-28 months post-disaster. Survivors were asked to imagine a future disaster and indicate how much they would depend on network and non-network sources of support. In addition, they reported on demographic characteristics, disaster-related exposure, post-traumatic stress, and depression. Information on the economic and social resources in survivors' communities was also collected. RESULTS Multilevel multivariable regression models found that lack of insurance coverage and residence in a neighborhood wherein more persons lived alone were associated with survivors anticipating less network and non-network support. In addition, being married or cohabiting was significantly associated with more anticipated network support, whereas older age and having a high school education or less were significantly associated with less anticipated network support. CONCLUSIONS By having survivors anticipate a future disaster scenario, this study provides insight into predictors of post-disaster receipt of network and non-network support. Further research is needed to examine how these findings correspond to survivors' received support in the aftermath of future disasters. (Disaster Med Public Health Preparedness. 2018;12:711-717).

Sandro Galea

Papers

Food insecurity, stressful life events, poverty, and the risk of common mental disorders in East Africa: Evidence from the Gilgel Gibe Growth and Development Study.

Gene-environment interaction research in youth depression: a systematic review with recommendations for future research

Trends of biomarkers of cardiovascular disease in the United States by income: Disparities between the richest 20% and the poorest 80%,1999–2018

Urban Health Systems: Overview

Disaster survivors' anticipated received support in a future disaster