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Annals of Epidemiology最新文献

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Development and comparison of machine learning models to predict autism rate in New York public school districts 开发和比较用于预测纽约公立学校学区自闭症发病率的机器学习模型
IF 3.3 3区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.015
Jianyong Wu , Qixiang Chen
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引用次数: 0
Predicting Five-Year All-Cause Mortality in COPD Patients Using Machine Learning 利用机器学习预测慢性阻塞性肺病患者的五年全因死亡率
IF 3.3 3区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.011
Ana Paula Pena-Gralle , Amélie Forget , Sofia-Nada Boureguaa , Marc-André Legault , Lucie Blais
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引用次数: 0
Application of Artificial Intelligence to Screen for and Address Health-related Social Needs of Patients 应用人工智能筛查并满足患者与健康相关的社会需求
IF 3.3 3区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.06.016
Md. Mohaimenul Islam PhD , Macarius M. Donneyong PhD
{"title":"Application of Artificial Intelligence to Screen for and Address Health-related Social Needs of Patients","authors":"Md. Mohaimenul Islam PhD , Macarius M. Donneyong PhD","doi":"10.1016/j.annepidem.2024.06.016","DOIUrl":"10.1016/j.annepidem.2024.06.016","url":null,"abstract":"","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"97 ","pages":"Page 80"},"PeriodicalIF":3.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142232602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Prevalence of substance use among adolescents in the ABCD study: Exploring patterns by NIMHD-designated health disparity populations ABCD 研究中的青少年药物使用流行率:按美国国家卫生发展研究所(NIMHD)指定的健康差异人群探索模式
IF 3.3 3区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.070
K.P. Silmi, N. Segura, M.R. Gonzalez
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引用次数: 0
A MIXED METHODS STUDY EXPLORING HOW PHYSICAL ACTIVITY MAY BE INCORPORATED INTO A CESSATION INTERVENTION TO BEST SUPPORT YOUTH EXPERIENCING HOMELESSNESS IN THE QUIT PROCESS 一项混合方法研究,探讨如何将体育活动纳入戒烟干预措施,以便在戒烟过程中为无家可归的青少年提供最佳支持
IF 3.3 3区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.026
R. Kaur, A. Hinton, C. Montgomery, J.M. Nemeth
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引用次数: 0
Impacts of climate change on water-related mosquito-borne diseases in temperate regions: A systematic review of literature and meta-analysis 气候变化对温带地区与水有关的蚊媒疾病的影响:文献系统回顾与荟萃分析
IF 3.3 3区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.064
Zemichael Gizaw , Eunice Salubi , Alain Pietroniro , Corinne J. Schuster-Wallace

Mosquito-borne diseases are a known tropical phenomenon. This review was conducted to assesses the mechanisms through which climate change impacts mosquito-borne diseases in temperate regions. Articles were searched from PubMed, Scopus, Web of Science, and Embase databases. Identification criteria were scope (climate change and mosquito-borne diseases), region (temperate), article type (peer-reviewed), publication language (English), and publication years (since 2015). The WWH (who, what, how) framework was applied to develop the research question and thematic analyses identified the mechanisms through which climate change affects mosquito-borne diseases. While temperature ranges for disease transmission vary per mosquito species, all are viable for temperate regions, particularly given projected temperature increases. Zika, chikungunya, and dengue transmission occurs between 18 and 34°C (peak at 26–29°C). West Nile virus establishment occurs at monthly average temperatures between 14 and 34.3°C (peak at 23.7–25°C). Malaria establishment occurs when the consecutive average daily temperatures are above 16°C until the sum is above 210°C. The identified mechanisms through which climate change affects the transmission of mosquito-borne diseases in temperate regions include: changes in the development of vectors and pathogens; changes in mosquito habitats; extended transmission seasons; changes in geographic spread; changes in abundance and behaviors of hosts; reduced abundance of mosquito predators; interruptions to control operations; and influence on other non-climate factors. Process and stochastic approaches as well as dynamic and spatial models exist to predict mosquito population dynamics, disease transmission, and climate favorability. Future projections based on the observed relations between climate factors and mosquito-borne diseases suggest that mosquito-borne disease expansion is likely to occur in temperate regions due to climate change. While West Nile virus is already established in some temperate regions, Zika, dengue, chikungunya, and malaria are also likely to become established over time. Moving forward, more research is required to model future risks by incorporating climate, environmental, sociodemographic, and mosquito-related factors under changing climates.

蚊子传播疾病是众所周知的热带现象。本综述旨在评估气候变化对温带地区蚊子传播疾病的影响机制。文章检索自 PubMed、Scopus、Web of Science 和 Embase 数据库。识别标准包括范围(气候变化和蚊媒疾病)、地区(温带)、文章类型(同行评审)、出版语言(英语)和出版年份(2015 年以来)。我们采用 WWH(谁、什么、如何)框架来提出研究问题,并通过专题分析确定了气候变化影响蚊媒疾病的机制。虽然每种蚊子传播疾病的温度范围各不相同,但在温带地区都是可行的,特别是考虑到预计的气温上升。寨卡、基孔肯雅和登革热的传播温度为 18 至 34°C(最高温度为 26 至 29°C)。西尼罗河病毒在月平均气温介于 14 至 34.3°C 之间时传播(最高气温为 23.7 至 25°C)。当连续日平均气温超过 16°C 直至总和超过 210°C 时,疟疾就会出现。已确定的气候变化影响温带地区蚊媒疾病传播的机制包括:病媒和病原体发展的变化;蚊子栖息地的变化;传播季节的延长;地理分布的变化;宿主数量和行为的变化;蚊子捕食者数量的减少;控制行动的中断;以及对其他非气候因素的影响。目前已有过程和随机方法以及动态和空间模型来预测蚊子种群动态、疾病传播和气候有利性。根据观测到的气候因素与蚊媒疾病之间的关系进行的未来预测表明,由于气候变化,蚊媒疾病很可能在温带地区蔓延。虽然西尼罗河病毒已经在一些温带地区流行,但随着时间的推移,寨卡、登革热、基孔肯雅和疟疾也有可能流行。展望未来,需要开展更多的研究,通过在不断变化的气候条件下纳入气候、环境、社会人口和蚊虫相关因素来模拟未来的风险。
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引用次数: 0
Blood serum PFAS levels in a sample of U.S. firefighters 美国消防员血清中的 PFAS 含量样本
IF 3.3 3区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.079
A.C. Testoff, A. Stewart, D. Gallimore-Wilson, A.J. Gray, P. Louzado-Feliciano, U. Bakali, T. Koru-Sengul, N Schaeffer Solle, E.N. Kobetz, A.J. Caban-Martinez
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引用次数: 0
FRESH VEGETABLE PROGRAM INCREASES PRODUCE CONSUMPTION, REDUCES WAIST SIZE, AND SUPPORTS EMPLOYEE WELLNESS 新鲜蔬菜计划增加了农产品消费量,减少了腰围,并为员工的健康提供了支持
IF 3.3 3区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.038
E.S. Alexander, A.A. White, G.E. Nicewonger, E.G. Brosnan, D.E. Petrus, J.R. Morris
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引用次数: 0
Leveraging Artificial intelligence (AI)/Machine learning (ML) to improve health equity 利用人工智能(AI)/机器学习(ML)提高健康公平性
IF 3.3 3区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.037
Olubunmi Obayemi
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引用次数: 0
Community-level and maternal individual-level social support and offspring epigenetic aging 社区层面和母体个体层面的社会支持与后代表观遗传衰老
IF 3.3 3区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.039
Alonzo T. Folger, Lili Ding, Tesfaye B. Mersha, Katherine Bowers
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引用次数: 0
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Annals of Epidemiology
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