The Interface Between Dysmorphology and Epidemiology in the "Diagnosis" and Surveillance for Fetal Alcohol Effects

PEDIATRICS ◽  
1996 ◽  
Vol 98 (2) ◽  
pp. 315-316
Author(s):  
Muin J. Khoury ◽  
Coleen Boyle ◽  
Pierre DeCoufle ◽  
Louise Floyd ◽  
Karen Hymbaughm

We read with great interest the commentary of Aase et al entitled "Do we need the term fetal alcohol effects (FAE)?"1 As a public health agency, the Centers for Disease Control and Prevention (CDC) has been working with states and academic organizations to develop and evaluate prevention programs for fetal alcohol syndrome (FAS). A fundamental component of such programs is the design and implementation of population-based surveillance systems for FAS to track the magnitude of the problem to assess temporal trends related to intervention programs.2,3

Author(s):  
Tracey Ward ◽  
Raphael Bernier ◽  
Cora Mukerji ◽  
Danielle Perszyk ◽  
James C. McPartland ◽  
...  

1986 ◽  
Vol 7 (1) ◽  
pp. 55-60 ◽  
Author(s):  
Warren D. Ugent ◽  
Mercedes Herrera Graf ◽  
Anita S. Ugent

Fetal alcohol syndrome (FAS), a recently discovered pattern of physical, cognitive, developmental and behavioural abnormalities, occurs in some offspring of women who consume alcohol heavily during pregnancy. This paper explores the implications of FAS and lesser fetal alcohol effects. Issues of international incidence, characteristics, identification and treatment, along with their relevance for the school psychologist, are discussed.


2019 ◽  
Vol 73 (8) ◽  
pp. 745-749 ◽  
Author(s):  
Fangrong Fei ◽  
Huixin Liu ◽  
Sequoia I Leuba ◽  
Yichong Li ◽  
Ruying Hu ◽  
...  

BackgroundWe investigated the current temporal trends of suicide in Zhejiang, China, from 2006 to 2016 to determine possible health disparities in order to establish priorities for intervention.MethodsWe collected mortality surveillance data from 2006 to 2016 from the Zhejiang Chronic Disease Surveillance Information and Management System from the Zhejiang Provincial Centre for Disease Control and Prevention. We estimated region-specific and gender-specific suicide rates using joinpoint regression analyses to determine the average annual percentage change (AAPC) and its 95% CI.ResultsThe crude suicide rate declined from 9.64 per 100 000 people in 2006 to 4.86 per 100 000 in 2016, and the age-adjusted suicide rate decreased from 9.74 per 100 000 in 2006 to 4.14 per 100 000 in 2016. During 2006–2013, rural males had the highest suicide rate, followed by rural females, urban males, and urban females, while after 2013, urban males suicide rates surpassed rural female suicide rates, and became the second highest suicide rate subgroup. The rate of suicide declined in all region-specific and/or gender-specific subgroups except among urban males between 20 and 34 years of age. Their age-adjusted suicide rate AAPC greatly increased to 28.39 starting in 2013 compared with an AAPC of −13.47 from 2006 to 2013.ConclusionsThe suicide rate among young urban males has been alarmingly increasing since 2013, and thus, researchers must develop targeted effective strategies to mitigate this escalating loss of life.


2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Ryan B. Simpson ◽  
Bingjie Zhou ◽  
Tania M. Alarcon Falconi ◽  
Elena N. Naumova

Abstract Disease surveillance systems worldwide face increasing pressure to maintain and distribute data in usable formats supplemented with effective visualizations to enable actionable policy and programming responses. Annual reports and interactive portals provide access to surveillance data and visualizations depicting temporal trends and seasonal patterns of diseases. Analyses and visuals are typically limited to reporting the annual time series and the month with the highest number of cases per year. Yet, detecting potential disease outbreaks and supporting public health interventions requires detailed spatiotemporal comparisons to characterize spatiotemporal patterns of illness across diseases and locations. The Centers for Disease Control and Prevention’s (CDC) FoodNet Fast provides population-based foodborne-disease surveillance records and visualizations for select counties across the US. We offer suggestions on how current FoodNet Fast data organization and visual analytics can be improved to facilitate data interpretation, decision-making, and communication of features related to trend and seasonality. The resulting compilation, or analecta, of 436 visualizations of records and codes are openly available online.


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