Citizen Generated Data: Opening New Doors in Health IT Research and Practice

Walker, Patricia Hinton; Walker, John M.

doi:10.1007/978-3-030-91237-6_17

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…To demonstrate the value of our dataset for analyses of social, economic, and physical variables, we mapped several such variables for Washington, DC using packages raster ( Hijmans and Etten, 2012 ), sf ( Pebesma, 2018 ), and tidycensus ( Walker et al, 2021 ) in R. First, we split our trees data by census tract and mapped species richness and effective species count within each tract; next, we extracted median household income data and plotted it for each census tract ( Walker, 2022 ). Finally, we downloaded LANDSAT data on surface temperatures in DC for July 2018 from the DC Open Data portal ( https://opendata.dc.gov/documents/land-surface-temperature-july-2018/explore ; CC-BY-4.0) and plotted this, marking heat islands (temperature >95°F) in black ( Jolly, 2019 ).…”

Section: Methodsmentioning

confidence: 99%

Species clustering, climate effects, and introduced species in 5 million city trees across 63 US cities

McCoy

Goulet-Scott

Meng

et al. 2022

eLife

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Sustainable cities depend on urban forests. City trees-pillars of urban forests - improve our health, clean the air, store CO2, and cool local temperatures. Comparatively less is known about city tree communities as ecosystems, particularly regarding spatial composition, species diversity, tree health, and the abundance of introduced species. Here, we assembled and standardized a new dataset of N=5,660,237 trees from 63 of the largest US cities with detailed information on location, health, species, and whether a species is introduced or naturally occurring (i.e., 'native'). We further designed new tools to analyze spatial clustering and the abundance of introduced species. We show that trees significantly cluster by species in 98% of cities, potentially increasing pest vulnerability (even in species-diverse cities). Further, introduced species significantly homogenize tree communities across cities, while naturally occurring trees (i.e., 'native' trees) comprise 0.51%-87.3% (median=45.6%) of city tree populations. Introduced species are more common in drier cities, and climate also shapes tree species diversity across urban forests. Parks have greater tree species diversity than urban settings. Compared to past work which focused on canopy cover and species richness, we show the importance of analyzing spatial composition and introduced species in urban ecosystems (and we develop new tools and datasets to do so). Future work could analyze city trees and socio-demographic variables or bird, insect, and plant diversity (e.g., from citizen-science initiatives). With these tools, we may evaluate existing city trees in new, nuanced ways and design future plantings to maximize resistance to pests and climate change. We depend on city trees.

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Section: Methodsmentioning

confidence: 99%

Species clustering, climate effects, and introduced species in 5 million city trees across 63 US cities

McCoy

Goulet-Scott

Meng

et al. 2022

eLife

View full text Add to dashboard Cite

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Conceptualizing a model for cloud-based hospital management systems for the South African public health sector

Magudulela,

Kalema,

Segooa

2023

IJSA

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Background and Aim of Study: Real-time access of information in the healthcare environment is essential, as it not only helps medical personnel to have adequate and timely information, but it also assists patients to be served more easily. Hospitals in rural areas are operating at a low bandwidth and have poor IT infrastructure that causes intermittent networks leading to disruptions and slow service delivery. This necessitates the Hospital Management System (HMS) to be deployed in the cloud environment to reduce the challenges leading to poor service delivery. The aim of the study: to develop a model for cloud-based HMS for the South African public health sector. Material and Methods: This study identified three public district municipality hospitals in Gauteng Province, South Africa, that were already using HMS and used them for data collection. Each hospital had up to 50 healthcare workers, and this formed the population of 150 from the three hospitals, from which a sample size of 108 respondents was selected. Data were collected using a closed-ended questionnaire and analyzed quantitatively using SPSS v25. Results: The results demonstrated that the suggested model has a good prediction power of 60.9% (R2=0.609) and that with the exception of environmental aspects, the rest of the constructs has a significant contribution to the successful implementation of the cloud-based HMS. Social aspects had the highest prediction power of 60.0% (β=0.600) at p=0.001; followed by risk analysis and control with 41.3% (β=0.413) at p=0.009. On the other hand, environmental aspects had the least and non-significant prediction of 12.3%. Conclusions: This study contributes to the ongoing call to have seamless healthcare provision systems. The model developed in this study extends the research of modernizing healthcare provision by leveraging technological innovations.

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Citizen Generated Data: Opening New Doors in Health IT Research and Practice

Cited by 2 publications

References 8 publications

Species clustering, climate effects, and introduced species in 5 million city trees across 63 US cities

Species clustering, climate effects, and introduced species in 5 million city trees across 63 US cities

Conceptualizing a model for cloud-based hospital management systems for the South African public health sector

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