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Developing a Data Dashboard Framework for Population Health Surveillance: Widening Access to Clinical Trial Findings

The map provides a means to zoom to areas of interest on the basis of spatial patterns of variance.

David Concannon, Kobus Herbst, Ed Manley

JMIR Form Res 2019;3(2):e11342

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Web-Based Survey Application to Collect Contextually Relevant Geographic Data With Exposure Times: Application Development and Feasibility Testing

For example, spatial analyses typically use residential addresses to identify hot spots and health service deserts and to calculate distances to services.

Abby Rudolph, Karin Tobin, Jonathan Rudolph, Carl Latkin

JMIR Public Health Surveill 2018;4(1):e12

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Detection of Spatiotemporal Prescription Opioid Hot Spots With Network Scan Statistics: Multistate Analysis

this end, spatial scan statistics [10-12] are among the most common techniques used for analyzing metrics related with opioid use.

Arinjoy Basak, Jose Cadena, Achla Marathe, Anil Vullikanti

JMIR Public Health Surveill 2019;5(2):e12110

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Usability Assessment of the Missouri Cancer Registry’s Published Interactive Mapping Reports: Round One

For the GIS tools where statistical and spatial information are combined, users have faced similar difficulties.

Awatef Ahmed Ben Ramadan, Jeannette Jackson-Thompson, Chester Lee Schmaltz

JMIR Hum Factors 2017;4(3):e19

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Tracking Dabbing Using Search Query Surveillance: A Case Study in the United States

Differences in the 2015 raw dabbing data across US states with varying marijuana legalization policies were examined by 1-way ANOVA (analysis of variance) with 95% confidence interval.

Zhu Zhang, Xiaolong Zheng, Daniel Dajun Zeng, Scott J Leischow

J Med Internet Res 2016;18(9):e252

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The Potential of Smartphone Apps in Informing Protobacco and Antitobacco Messaging Efforts Among Underserved Communities: Longitudinal Observational Study

The latitude and longitude of the photos and EMA surveys were logged using Ethica.Statistical AnalysisData were imported into ArcMap 10.6.1 for mapping and statistical analyses, where we conducted spatial autocorrelation and optimized hot spot analysis as well

Edmund WJ Lee, Mesfin Awoke Bekalu, Rachel McCloud, Donna Vallone, Monisha Arya, Nathaniel Osgood, Xiaoyan Li, Sara Minsky, Kasisomayajula Viswanath

J Med Internet Res 2020;22(7):e17451

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Twitter-Based Influenza Detection After Flu Peak via Tweets With Indirect Information: Text Mining Study

Then, we evaluated the effectiveness to use indirect information, in addition to direct information and to embed this information into TRAP model that are the main contributions of this paper.Another novelty of this study is high-resolution geographic analysis

Shoko Wakamiya, Yukiko Kawai, Eiji Aramaki

JMIR Public Health Surveill 2018;4(3):e65

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Monitoring the Spatial Spread of COVID-19 and Effectiveness of Control Measures Through Human Movement Data: Proposal for a Predictive Model Using Big Data Analytics

Meanwhile, the recent development of artificial intelligence (AI) has proven useful for diagnosis, drug analysis, data collection, and outbreak prediction [22].

Zhenlong Li, Xiaoming Li, Dwayne Porter, Jiajia Zhang, Yuqin Jiang, Bankole Olatosi, Sharon Weissman

JMIR Res Protoc 2020;9(12):e24432

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Online Public Attention During the Early Days of the COVID-19 Pandemic: Infoveillance Study Based on Baidu Index

Their applicability in monitoring public attention of public health emergencies such as influenza [15-18], H7N9 [19,20], and Dengue [21,22] has been widely confirmed.To date, none of the studies combine temporal and spatial relationship, and relevance between

Xue Gong, Yangyang Han, Mengchi Hou, Rui Guo

JMIR Public Health Surveill 2020;6(4):e23098

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Citizen-Centered Mobile Health Apps Collecting Individual-Level Spatial Data for Infectious Disease Management: Scoping Review

What is lacking, however, is a structured analysis of important aspects relevant to the technical properties and functionalities of current and future citizen-centered solutions.ObjectivesThe objectives of this work are to inform the current discussions and

Felix Nikolaus Wirth, Marco Johns, Thierry Meurers, Fabian Prasser

JMIR Mhealth Uhealth 2020;8(11):e22594

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