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Real-Time Spatiotemporal Analysis of Microepidemics of Influenza and COVID-19 Based on Hospital Network Data: Colocalization of Neighborhood-Level Hotspots
- Source :
- Am J Public Health
- Publication Year :
- 2020
- Publisher :
- American Public Health Association, 2020.
-
Abstract
- Objectives. To identify spatiotemporal patterns of epidemic spread at the community level. Methods. We extracted influenza cases reported between 2016 and 2019 and COVID-19 cases reported in March and April 2020 from a hospital network in Rhode Island. We performed a spatiotemporal hotspot analysis to simulate a real-time surveillance scenario. Results. We analyzed 6527 laboratory-confirmed influenza cases and identified microepidemics in more than 1100 neighborhoods, and more than half of the neighborhoods that had hotspots in a season became hotspots in the next season. We used data from 731 COVID-19 cases, and we found that a neighborhood was 1.90 times more likely to become a COVID-19 hotspot if it had been an influenza hotspot in 2018 to 2019. Conclusions. The use of readily available hospital data allows the real-time identification of spatiotemporal trends and hotspots of microepidemics. Public Health Implications. As local governments move to reopen the economy and ease physical distancing, the use of historic influenza hotspots could guide early prevention interventions, while the real-time identification of hotspots would enable the implementation of interventions that focus on small-area containment and mitigation.
- Subjects :
- Coronavirus disease 2019 (COVID-19)
030231 tropical medicine
medicine.disease_cause
03 medical and health sciences
Spatio-Temporal Analysis
0302 clinical medicine
Public health surveillance
Influenza, Human
Hotspot (geology)
Epidemic spread
Pandemic
Influenza A virus
medicine
Humans
Public Health Surveillance
030212 general & internal medicine
Pandemics
Hospital network
SARS-CoV-2
Spatiotemporal Analysis
Public Health, Environmental and Occupational Health
COVID-19
Rhode Island
Geography
AJPH Surveillance
Cartography
Subjects
Details
- ISSN :
- 15410048 and 00900036
- Volume :
- 110
- Database :
- OpenAIRE
- Journal :
- American Journal of Public Health
- Accession number :
- edsair.doi.dedup.....e8ae137709acf52dec9e0d8151537b1e
- Full Text :
- https://doi.org/10.2105/ajph.2020.305911