Seeing the forest and the trees
Holistic view of social distancing on the spread of Covid-19 in China
Bibliographic Data
| ID | 21450056 |
|---|---|
| Authors | Danlin Yu (0000-0002-4470-7011, Montclair State University, corresponding author), Yaojun Zhang (0009-0008-9826-2741), Yao‐Jun Zhang (0000-0001-8357-5544, Renmin University of China, corresponding author), Jun Meng (0000-0001-9716-1051, Capital Medical University), Xiaoxi Wang (0000-0003-2678-9217, Renmin University of China), Lingfeng He (0000-0001-7567-6708, Renmin University of China), Linfeng He (0000-0003-0355-5311), Meng Jia (0000-0002-0047-2820, Renmin University of China), Jie Ouyang (0000-0001-5124-0504, Renmin University of China), Yu Han (0000-0002-4427-3962), Han Yu (0000-0002-7103-1416, Renmin University of China), Ge Zhang (0000-0003-1668-8017, Minzu University of China), Yao Lu (0000-0002-6715-4640, Minzu University of China) |
| Year | 2023 |
| Volume | 154 |
| Pages | 102941 |
| Publication date | 2023-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Applied Geography (JOURNAL) |
| Journal identifiers | ISSN: 0143-6228 • E-ISSN: 1873-7730 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.apgeog.2023.102941 |
| PMID | 37007437 |
| OpenAlex | W4360983016 |
| Language | EN |
| Citations received | 4 |
| References cited | 58 |
The human social and behavioral activities play significant roles in the spread of COVID-19. Social-distancing centered non-pharmaceutical interventions (NPIs) are the best strategies to curb the spread of COVID-19 prior to an effective pharmaceutical or vaccine solution. This study investigates various social-distancing measures' impact on the spread of COVID-19 using advanced global and novel local geospatial techniques. Social distancing measures are acquired through website analysis, document text analysis, and other big data extraction strategies. A spatial panel regression model and a newly proposed geographically weighted panel regression model are applied to investigate the global and local relationships between the spread of COVID-19 and the various social distancing measures. Results from the combined global and local analyses confirm the effectiveness of NPI strategies to curb the spread of COVID-19. While global level strategies allow a nation to implement social distancing measures immediately at the beginning to minimize the impact of the disease, local level strategies fine tune such measures based on different times and places to provide targeted implementation to balance conflicting demands during the pandemic. The local level analysis further suggests that implementing different NPI strategies in different locations might allow us to battle unknown global pandemic more efficiently
Cartography · Coronavirus disease 2019 (COVID-19) · Disease · Distancing · Geography · Geospatial analysis · Infectious disease (medical specialty) · Pandemic · Psychological intervention · Social distance · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Data-Driven Disease Surveillance · Medicine · Psychology
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Survival analysis of factors affecting the timing of Covid-19 non-pharmaceutical interventions by U.S. universities
Spatial data analysis of regional development in Greater Beijing, China, in a GIS environment
Understanding regional development mechanisms in Greater Beijing Area, China, 1995–2001, from a spatial–temporal perspective
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| Unique citing works | 4 |
|---|---|
| Citations per year | 2 |
| Citation span | 2024 - 2025 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |