Planning for monitoring the introduction and effectiveness of new vaccines using real-word data and geospatial visualization: An example using rotavirus vaccines with potential application to SARS-CoV-2

Mast, T. Christopher; Heyman, David; Dasbach, Erik J.; Roberts, C.S.; Goveia, Michelle G.; Finelli, Lyn

doi:10.1016/j.jvacx.2021.100084

Cited by 9 publications

(23 citation statements)

References 17 publications

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“…The contribution of 11 articles to the spatial analysis of COVID-19 vaccination was only limited to mapping [24][25][26][27][28][29][30][31][32][33][34]. Although most mapping studies disregarded time components, and used static presentation of data, temporal variations or transmission dynamics were mapped in [24,29,30,[35][36][37].…”

Section: Vaccine Mappingmentioning

confidence: 99%

“…In a web-based study in the US, Mast et al [36] developed novel web-based methods to communicate location and time-based vaccine uptake to monitor the impact of existing and new vaccines. The maps could identify geographic hotspots with low vaccination rates and persistent disease rates over time.…”

Section: Vaccine Mappingmentioning

confidence: 99%

“…They found significant positive correlations between invasive pneumococcal disease and COVID-19 rates, whereas significant negative correlations were found between pneumococcal vaccination and COVID-19 rates. [40] N, M 4 Mast, Heyman [36] N, M 4 Al Rifai, Khalid [43] D, R 3 Solomon, Hsieh [41] D, R 1 Nguyen, Nguyen [32] D, R 3 Wang, Wu [52] D 1 Shastri, Rasendran [42] D 1 Rocha, Boitrago [47] D, R 3 Park, Kearney [37] D, N, R 3 Rodríguez-Vidales, Garza-Carrillo [34] D 1…”

Section: Community Health Profilingmentioning

confidence: 99%

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Spatial Analysis of COVID-19 Vaccination: A Scoping Review

Mollalo

Mohammadi

Mavaddati

et al. 2021

IJERPH

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Spatial analysis of COVID-19 vaccination research is increasing in recent literature due to the availability of COVID-19 vaccination data that usually contain location components. However, to our knowledge, no previous study has provided a comprehensive review of this research area. Therefore, in this scoping review, we examined the breadth of spatial and spatiotemporal vaccination studies to summarize previous findings, highlight research gaps, and provide guidelines for future research. We performed this review according to the five-stage methodological framework developed by Arksey and O’Malley. We screened all articles published in PubMed/MEDLINE, Scopus, and Web of Science databases, as of 21 September 2021, that had employed at least one form of spatial analysis of COVID-19 vaccination. In total, 36 articles met the inclusion criteria and were organized into four main themes: disease surveillance (n = 35); risk analysis (n = 14); health access (n = 16); and community health profiling (n = 2). Our findings suggested that most studies utilized preliminary spatial analysis techniques, such as disease mapping, which might not lead to robust inferences. Moreover, few studies addressed data quality, modifiable areal unit problems, and spatial dependence, highlighting the need for more sophisticated spatial and spatiotemporal analysis techniques.

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Section: Vaccine Mappingmentioning

confidence: 99%

Section: Vaccine Mappingmentioning

confidence: 99%

Section: Community Health Profilingmentioning

confidence: 99%

See 1 more Smart Citation

Spatial Analysis of COVID-19 Vaccination: A Scoping Review

Mollalo

Mohammadi

Mavaddati

et al. 2021

IJERPH

View full text Add to dashboard Cite

show abstract

“…Despite the existence of wide variety of software for monitoring coronavirus, a number of authors have proposed new visualization tools [12,13,14,15]. Martínez Beltra ́n et al [12] describe developed "web-based, user-friendly dashboard for interactive plotting" which is able to analyse both coronavirus and related data, such as maximum temperature, grocery and pharmacy, etc., mostly in Spain.…”

Section: Introductionmentioning

confidence: 99%

“…So, authors proposed tool for drawing graphics, pie-charts, and especially maps to monitor the evolution of dissemination of coronavirus in Sao Paulo state. Another geospatial techniques are proposed by Mast et al in their study [14]. Their analysis for the USA allows to reveal vaccinating distribution in two directions: over the time and over the place (cities, states).…”

Section: Introductionmentioning

confidence: 99%