Identification of spatially constrained homogeneous clusters of COVID‐19 transmission in Italy-Reference-Cited by-同舟云学术

Identification of spatially constrained homogeneous clusters of COVID‐19 transmission in Italy

Published:2020-12 Issue:6 Volume:12 Page:1169-1187
ISSN:1757-7802
Container-title:Regional Science Policy & Practice
language:en
Short-container-title:Reg Sci Policy Pract

Author:

Benedetti Roberto¹^ORCID,Piersimoni Federica²^ORCID,Pignataro Giacomo³^ORCID,Vidoli Francesco⁴^ORCID

Affiliation:

1. Department of Economic Studies, G. d'Annunzio University of Chieti‐Pescara Italy

2. Istat Directorate for Methodology and Statistical Process Design Italy

3. Department of Management, Economics and Industrial Engineering, Politecnico di Milano, and Department of Economics and Business University of Catania Italy

4. Department of Political Science University of Roma Tre Italy

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Development,Geography, Planning and Development

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/rsp3.12371

Reference40 articles.

1. Efficient regionalization techniques for socio‐economic geographical units using minimum spanning trees

2. Spatial heterogeneity in non‐parametric efficiency: An application to Italian hospitals;Auteri M.;Social Science & Medicine,2019

3. Health Care Expenditure and Income: A Global Perspective

4. Health Econometrics

5. A two-step approach to account for unobserved spatial heterogeneity

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Pyneapple-R: Scalable and Expressive Spatial Regionalization;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

2. Statistical Inference for Spatial Regionalization;Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems;2023-11-13

3. PAGE: Parallel Scalable Regionalization Framework;ACM Transactions on Spatial Algorithms and Systems;2023-09-13

4. A Scalable Unified System for Seeding Regionalization Queries;Proceedings of the 18th International Symposium on Spatial and Temporal Data;2023-08-23

5. Exploration of spatiotemporal heterogeneity and socio-demographic determinants on COVID-19 incidence rates in Sarawak, Malaysia;BMC Public Health;2023-07-20