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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Bayesian disease mapping: Past, present, and future
Ying C. MacNab
Spatial Statistics (2022) Vol. 50, pp. 100593-100593
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Unveiling Land Use Dynamics: Insights from a Hierarchical Bayesian Spatio-Temporal Modelling of Compositional Data
Mario Figueira, Carmen Guarner, David Conesa, et al.
Journal of Agricultural Biological and Environmental Statistics (2025)
Open Access
Identifying Rural Hotspots for Head and Neck Cancer Using the Bayesian Mapping Approach
Poornima Ramamurthy, John Adeoye, S. W. Choi, et al.
Cancers (2025) Vol. 17, Iss. 5, pp. 819-819
Open Access
The epidemiologic case for urban health: conceptualizing and measuring the magnitude of challenges and potential benefits
Michael D. Garber, Tarik Benmarhnia, Audrey de Nazelle, et al.
F1000Research (2025) Vol. 13, pp. 950-950
Open Access
High-dimensional order-free multivariate spatial disease mapping
Gonzalo Vicente, Aritz Adin, T. Goicoa, et al.
Statistics and Computing (2023) Vol. 33, Iss. 5
Open Access | Times Cited: 9
Adaptive Gaussian Markov random field spatiotemporal models for infectious disease mapping and forecasting
Ying C. MacNab
Spatial Statistics (2023) Vol. 53, pp. 100726-100726
Open Access | Times Cited: 6
Deep Learning and MCMC with aggVAE for Shifting Administrative Boundaries: Mapping Malaria Prevalence in Kenya
Elizaveta Semenova, Swapnil Mishra, Samir Bhatt, et al.
Lecture notes in computer science (2024), pp. 13-27
Closed Access | Times Cited: 1
Bayesian hierarchical spatiotemporal models for prediction of (under)reporting rates and cases: COVID-19 infection among the older people in the United States during the 2020–2022 pandemic
Jingxin Lei, Ying C. MacNab
Spatial and Spatio-temporal Epidemiology (2024) Vol. 49, pp. 100658-100658
Open Access | Times Cited: 1
Revisiting Gaussian Markov random fields and Bayesian disease mapping
Ying C. MacNab
Statistical Methods in Medical Research (2022) Vol. 32, Iss. 1, pp. 207-225
Open Access | Times Cited: 8
Spatial autocorrelation mixtures in geospatial disease data: An important global epidemiologic/public health assessment ingredient?
Daniel A. Griffith
Transactions in GIS (2023) Vol. 27, Iss. 3, pp. 730-751
Closed Access | Times Cited: 4
Near real time monitoring and forecasting for COVID-19 situational awareness
Robert Stewart, Samantha Erwin, Jesse Piburn, et al.
Applied Geography (2022) Vol. 146, pp. 102759-102759
Open Access | Times Cited: 7
Bayesian spatiotemporal modelling for disease mapping: an application to preeclampsia and gestational diabetes in Florida, United States
Ning Sun, Zoran Bursac, Ian L. Dryden, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 50, pp. 109283-109298
Open Access | Times Cited: 2
Variance partitioning in spatio-temporal disease mapping models
Maria Franco‐Villoria, Massimo Ventrucci, Håvard Rue
Statistical Methods in Medical Research (2022) Vol. 31, Iss. 8, pp. 1566-1578
Open Access | Times Cited: 4
Non-stationary Bayesian spatial model for disease mapping based on sub-regions
Esmail Abdul Fattah, Elias Teixeira Krainski, Janet van Niekerk, et al.
Statistical Methods in Medical Research (2024) Vol. 33, Iss. 6, pp. 1093-1111
Open Access
Bridging Compartmental Models and Network Analysis in Epidemiological Modelling
Jorge M. Mendes, Helena Baptista, Ying C. MacNab
(2024) Vol. 2, Iss. 2
Open Access
Similarity- and neighbourhood-based dynamic models for infection data: Uncovering the complexities of the COVID-19 infection risks
Helena Baptista, Jorge M. Mendes, Ying C. MacNab
Spatial and Spatio-temporal Epidemiology (2024) Vol. 51, pp. 100681-100681
Open Access
Spatial Epidemiology and Its Role in Prevention and Control of Swine Viral Disease
Juan Qiu, Xiaodong Li, Huaiping Zhu, et al.
Animals (2024) Vol. 14, Iss. 19, pp. 2814-2814
Open Access
A municipality-specific analysis to investigate persistent increased incidence rates of childhood leukaemia near the nuclear power plant of Krümmel in Germany
Emilio Gianicolo, Antonello Russo, Rossana Di Staso, et al.
European Journal of Epidemiology (2024)
Open Access
A Bayesian modelling framework to quantify multiple sources of spatial variation for disease mapping
Sophie Lee, Theo Economou, Rachel Lowe
Journal of The Royal Society Interface (2022) Vol. 19, Iss. 194
Open Access | Times Cited: 3
On coregionalized multivariate Gaussian Markov random fields: construction, parameterization, and Bayesian estimation and inference
Ying C. MacNab
Test (2022) Vol. 32, Iss. 1, pp. 263-293
Closed Access | Times Cited: 3
Factors associated with the spatiotemporal distribution of dog rabies in Tunisia
Sana Kalthoum, Samia Mzoughi, Raja Gharbi, et al.
PLoS neglected tropical diseases (2024) Vol. 18, Iss. 8, pp. e0012296-e0012296
Open Access
Pesticides and risk of pancreatic adenocarcinoma in France: a nationwide spatiotemporal ecological study between 2011 and 2021
Mathias Brügel, Victoria Gauthier, Olivier Bouché, et al.
European Journal of Epidemiology (2024) Vol. 39, Iss. 11, pp. 1241-1250
Closed Access
Multivariate Bayesian Semiparametric Regression Model for Forecasting and Mapping HIV and TB Risks in West Java, Indonesia
I Gede Nyoman Mindra Jaya, Budhi Handoko, Yudhie Andriyana, et al.
Mathematics (2023) Vol. 11, Iss. 17, pp. 3641-3641
Open Access | Times Cited: 1
MAKING BAYESIAN DISEASE MAPPING EASY AND INTERACTIVE: AN R SHINY APPLICATION
Aswi Aswi, Muhammad Arif Tiro, Sudarmin Sudarmin, et al.
MEDIA STATISTIKA (2023) Vol. 16, Iss. 2, pp. 148-159
Open Access | Times Cited: 1
Future Opportunities and Tools for Emerging Challenges for HIV/AIDS Control
Rima Bazzi, Kayla Aleshire, Ramakrishna Prakash, et al.
Infectious diseases (2022)
Open Access | Times Cited: 1
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting
Duncan Lee
Spatial Statistics (2023) Vol. 59, pp. 100796-100796
Open Access
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