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The Automatic Context Measurement Tool (ACMT) to Compile Participant-Specific Built and Social Environment Measures for Health Research: Development and Usability Study

The Automatic Context Measurement Tool (ACMT) to Compile Participant-Specific Built and Social Environment Measures for Health Research: Development and Usability Study

This is in part because the early evidence base for built environment associations with health has been opportunistic and cross-sectional [10], but it is also because the geographic information systems (GIS) expertise required to develop built and social environment measures at spatial and temporal scales to allow optimal comparison has limited this research to specialist research groups (eg, groups that include a researcher with GIS expertise) [11].

Weipeng Zhou, Amy Youngbloom, Xinyang Ren, Brian E Saelens, Sean D Mooney, Stephen J Mooney

JMIR Form Res 2024;8:e56510

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COVID-19 Variant Surveillance and Social Determinants in Central Massachusetts: Development Study

COVID-19 Variant Surveillance and Social Determinants in Central Massachusetts: Development Study

Health science has long leveraged Geographical Information System (GIS) spatial analysis and applications [7]. GIS offers an interactive and efficient approach to revealing meaningful patterns and associations [8] that would be otherwise difficult to visualize using traditional figures and tables.

Qiming Shi, Carly Herbert, Doyle V Ward, Karl Simin, Beth A McCormick, Richard T Ellison III, Adrian H Zai

JMIR Form Res 2022;6(6):e37858

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Article has an altmetric score of 15

Leveraging Polio Geographic Information System Platforms in the African Region for Mitigating COVID-19 Contact Tracing and Surveillance Challenges: Viewpoint

Leveraging Polio Geographic Information System Platforms in the African Region for Mitigating COVID-19 Contact Tracing and Surveillance Challenges: Viewpoint

Geographic information system (GIS) technology and big data analytics are major tools used in contact tracing during large outbreaks. GIS technology had been used successfully in the past to identify the rate of transmission and corresponding incidences of notorious airborne diseases [16].

Godwin Ubong Ubong Akpan, Isah Mohammed Bello, Kebba Touray, Reuben Ngofa, Daniel Rasheed Oyaole, Sylvester Maleghemi, Marie Babona, Chanda Chikwanda, Alain Poy, Franck Mboussou, Opeayo Ogundiran, Benido Impouma, Richard Mihigo, Nda Konan Michel Yao, Johnson Muluh Ticha, Jude Tuma, Hani Farouk A Mohamed, Kehinde Kanmodi, Nonso Ephraim Ejiofor, John Kapoi Kipterer, Casimir Manengu, Francis Kasolo, Vincent Seaman, Pascal Mkanda

JMIR Mhealth Uhealth 2022;10(3):e22544

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Investigating Health Impacts of Natural Resource Extraction Projects in Burkina Faso, Ghana, Mozambique, and Tanzania: Protocol for a Mixed Methods Study

Investigating Health Impacts of Natural Resource Extraction Projects in Burkina Faso, Ghana, Mozambique, and Tanzania: Protocol for a Mixed Methods Study

AIS: AIDS Indicator Survey; DHIS2: District Health Information System 2; DHS: Demographic and Health Survey; GIS: geographic information system; MICS: Multi-Indicator Cluster Survey; MIS: Malaria Indicator Survey; SARA: Service Availability and Readiness Assessment; SPA: Service Provision Assessment. The health impacts of resource extraction projects vary based on the baseline characteristics and environment of the host community [25].

Andrea Farnham, Hermínio Cossa, Dominik Dietler, Rebecca Engebretsen, Andrea Leuenberger, Isaac Lyatuu, Belinda Nimako, Hyacinthe R Zabre, Fritz Brugger, Mirko S Winkler

JMIR Res Protoc 2020;9(4):e17138

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Novel Coronavirus in Cape Town Informal Settlements: Feasibility of Using Informal Dwelling Outlines to Identify High Risk Areas for COVID-19 Transmission From A Social Distancing Perspective

Novel Coronavirus in Cape Town Informal Settlements: Feasibility of Using Informal Dwelling Outlines to Identify High Risk Areas for COVID-19 Transmission From A Social Distancing Perspective

The dwelling outlines are in the form of a geographic information system (GIS) vector data set (shapefile), with individual polygons representing either individual dwellings or, in cases where dwellings are built so close to each other that they cannot be visually separated, clusters of connected dwellings. Working within the GIS software Arc GIS 10.5.1 (Esri), dwellings corresponding to each settlement were selected and saved into separate shapefiles.

Lesley Gibson, David Rush

JMIR Public Health Surveill 2020;6(2):e18844

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Article has an altmetric score of 77