Emerging health threats journal最新文献_第8页

Inferring travel from social media 从社交媒体推断旅行

Emerging health threats journal Pub Date : 2011-12-06 DOI: 10.3402/EHTJ.V4I0.11126

Alessio Signorini, P. Polgreen, Alberto Maria Segre

{"title":"Inferring travel from social media","authors":"Alessio Signorini, P. Polgreen, Alberto Maria Segre","doi":"10.3402/EHTJ.V4I0.11126","DOIUrl":"https://doi.org/10.3402/EHTJ.V4I0.11126","url":null,"abstract":"Introduction The spread of infectious diseases is facilitated by human travel. Disease is often introduced by travelers and then spread among susceptible individuals. Likewise, uninfected susceptible travelers can move into populations sustaining the spread of an infectious disease. Several disease-modeling efforts have incorporated travel and census data in an effort to better understand the spread of disease. Unfortunately, most travel data are not fine grained enough to capture individual movements over long periods and large spaces. Alternative methods (e.g., tracking currency movements or cell phone signals) have been suggested to measure how people move with higher resolution but these are often sparse, expensive and not readily available to researchers. FourSquare is a social media application that permits users to ‘check-in’ (i.e., record their currentlocation at stores, restaurants, etc.) via their mobile telephones in exchange for incentives (e.g., location-specific coupons). FourSquare and similar applications (Gowalla, Yelp, etc.) generally broadcast each check-in via Twitter or Facebook; in addition, some GPS-enabled mobile Twitter clients add explicit geocodes to individual tweets. Here, we propose the use of geocoded social media data as a real-time fine-grained proxy for human travel.","PeriodicalId":72898,"journal":{"name":"Emerging health threats journal","volume":"80 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2011-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79608999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Defining emergency department asthma visits for public health surveillance 确定急诊哮喘就诊的公共卫生监测

Emerging health threats journal Pub Date : 2011-12-06 DOI: 10.3402/EHTJ.V4I0.11042

D. Travers, K. Lich, Steven J. Lippmann, A. Waller, M. Weinberger, K. Yeatts

引用次数: 4

Surveillance of poison center data using the National Poison Data System web service 使用国家毒物数据系统网络服务监测毒物中心数据

Emerging health threats journal Pub Date : 2011-12-06 DOI: 10.3402/EHTJ.V4I0.11036

Melissa Powell, K. Ryff, S. Giffin

引用次数: 0

School absenteeism surveillance data during the 2009 influenza A/H1N1 pandemic 2009年甲型H1N1流感大流行期间学校缺勤监测数据

Emerging health threats journal Pub Date : 2011-12-06 DOI: 10.3402/EHTJ.V4I0.11112

Kenneth Dufault, E. Daly, S. Bascom, Christopher Taylor, Paul Lakevicius, S. alroy-Preis

引用次数: 0

Disease profile development methodology for syndromic surveillance of biological threat agents 生物威胁剂综合征监测的疾病概况编制方法

Emerging health threats journal Pub Date : 2011-12-06 DOI: 10.3402/EHTJ.V4I0.11129

Julio C. Silva, D. Rumoro, Marilyn M. Hallock, S. Shah, G. Gibbs, M. Waddell

引用次数: 4

Monitoring winter-seasonal acute gastroenteritis emergency department visits by age 按年龄监测冬季急性肠胃炎急诊就诊情况

Emerging health threats journal Pub Date : 2011-12-06 DOI: 10.3402/EHTJ.V4I0.11113

D. Olson, I. Painter

引用次数: 0

An evaluation of electronic laboratory data quality and a health information exchange 电子实验室数据质量评价与卫生信息交换

Emerging health threats journal Pub Date : 2011-12-06 DOI: 10.3402/EHTJ.V4I0.11104

B. Dixon, S. Grannis

引用次数: 2

Changes in the spatial distribution of syphilis 梅毒的空间分布变化

Emerging health threats journal Pub Date : 2011-12-06 DOI: 10.3402/EHTJ.V4I0.11093

S. Tolentino, S. Pemmaraju, P. Polgreen, Anson Tai YatHo, M. Monsalve, Alberto Maria Segre

{"title":"Changes in the spatial distribution of syphilis","authors":"S. Tolentino, S. Pemmaraju, P. Polgreen, Anson Tai YatHo, M. Monsalve, Alberto Maria Segre","doi":"10.3402/EHTJ.V4I0.11093","DOIUrl":"https://doi.org/10.3402/EHTJ.V4I0.11093","url":null,"abstract":"Introduction Public health officials and epidemiologists have been attempting to eradicate syphilis for decades, but national incidence rates are again on the rise. It has been suggested that the syphilis epidemic in the United States is a ‘rare example of unforced, endogenous oscillations in disease incidence, with an 8 11-year period that is predicted by the natural dynamics of syphilis infection, to which there is partially protective immunity’ (1). While the time series of aggregate case counts seems to support this claim, between 1990 and 2010, there seems to have been a significant change in the spatial distribution of the syphilis epidemic. It is unclear if this change can also be attributed to ‘endogenous’ factors or whether it is due to exogenous factors such as behavioral changes (e.g., the widespread use of the internet for anonymous sexual encounters). For example, it is pointed out that levels of syphilis in 1989 were abnormally high in counties in North Carolina (NC) immediately adjacent to highways (2). The hypothesis was that this may be due to truck drivers and prostitution and/or the emerging cocaine market (1). Our results indicate that syphilis distribution in NC has changed since 1989, diffusing away from highway counties (see Fig. 1).","PeriodicalId":72898,"journal":{"name":"Emerging health threats journal","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2011-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75026438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Significant multiple high-and low-risk regions in event data maps 事件数据图中多个重要的高风险和低风险区域

Emerging health threats journal Pub Date : 2011-12-06 DOI: 10.3402/EHTJ.V4I0.11131

Emerson C. Bodevan, L. Duczmal, Gladston J. P. Moreira, A. Duarte, F. C. O. Magalhães

引用次数: 0

A zero-inflated Poisson-based spatial scan statistic 零膨胀的基于泊松的空间扫描统计量

Emerging health threats journal Pub Date : 2011-12-06 DOI: 10.3402/EHTJ.V4I0.11116

A. Cançado, C. da-Silva, M. F. Silva

引用次数: 5