Cargando…
A Warm Summer is Unlikely to Stop Transmission of COVID‐19 Naturally
The outbreak of coronavirus disease 2019 (COVID‐19) showed various transmission rate (R (t)) across different regions. The determination of the factors affecting transmission rate is urgent and crucial to combat COVID‐19. Here we explored variation of R (t) between 277 regions across the globe and t...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7645946/ https://www.ncbi.nlm.nih.gov/pubmed/33173840 http://dx.doi.org/10.1029/2020GH000292 |
_version_ | 1783606716280078336 |
---|---|
author | Su, Ming Peng, Shushi Chen, Lili Wang, Bin Wang, Ying Fan, Xiarui Dong, Zhaomin |
author_facet | Su, Ming Peng, Shushi Chen, Lili Wang, Bin Wang, Ying Fan, Xiarui Dong, Zhaomin |
author_sort | Su, Ming |
collection | PubMed |
description | The outbreak of coronavirus disease 2019 (COVID‐19) showed various transmission rate (R (t)) across different regions. The determination of the factors affecting transmission rate is urgent and crucial to combat COVID‐19. Here we explored variation of R (t) between 277 regions across the globe and the associated potential socioeconomic, demographic, and environmental factors. At global scale, the R (t) started to decrease approximately 2 weeks after policy interventions initiated. This lag from the date of policy interventions initiation to the date when R (t) started to decrease ranges from 9 to 19 days, largest in Europe and North America. We find that proportion of elderly people or life expectancy can explain ~50% of variation in transmission rate across the 277 regions. The transmission rate at the point of inflection (R (I)) increases by 29.4% (25.2–34.0%) for 1% uptick in the proportion of people aged above 65, indicating that elderly people face ~2.5 times higher infection risk than younger people. Air temperature is negatively correlated with transmission rate, which is mainly attributed to collinearities between air temperature and demographic factors. Our model predicted that temperature sensitivity of R (I) is only −2.7% (−5.2–0%) per degree Celsius after excluding collinearities between air temperature and demographic factors. This low temperature sensitivity of R (I) suggests that a warm summer is unlikely to impede the spread of COVID‐19 naturally. |
format | Online Article Text |
id | pubmed-7645946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76459462020-11-06 A Warm Summer is Unlikely to Stop Transmission of COVID‐19 Naturally Su, Ming Peng, Shushi Chen, Lili Wang, Bin Wang, Ying Fan, Xiarui Dong, Zhaomin Geohealth Research Articles The outbreak of coronavirus disease 2019 (COVID‐19) showed various transmission rate (R (t)) across different regions. The determination of the factors affecting transmission rate is urgent and crucial to combat COVID‐19. Here we explored variation of R (t) between 277 regions across the globe and the associated potential socioeconomic, demographic, and environmental factors. At global scale, the R (t) started to decrease approximately 2 weeks after policy interventions initiated. This lag from the date of policy interventions initiation to the date when R (t) started to decrease ranges from 9 to 19 days, largest in Europe and North America. We find that proportion of elderly people or life expectancy can explain ~50% of variation in transmission rate across the 277 regions. The transmission rate at the point of inflection (R (I)) increases by 29.4% (25.2–34.0%) for 1% uptick in the proportion of people aged above 65, indicating that elderly people face ~2.5 times higher infection risk than younger people. Air temperature is negatively correlated with transmission rate, which is mainly attributed to collinearities between air temperature and demographic factors. Our model predicted that temperature sensitivity of R (I) is only −2.7% (−5.2–0%) per degree Celsius after excluding collinearities between air temperature and demographic factors. This low temperature sensitivity of R (I) suggests that a warm summer is unlikely to impede the spread of COVID‐19 naturally. John Wiley and Sons Inc. 2020-12-01 /pmc/articles/PMC7645946/ /pubmed/33173840 http://dx.doi.org/10.1029/2020GH000292 Text en ©2020 The Authors. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Articles Su, Ming Peng, Shushi Chen, Lili Wang, Bin Wang, Ying Fan, Xiarui Dong, Zhaomin A Warm Summer is Unlikely to Stop Transmission of COVID‐19 Naturally |
title | A Warm Summer is Unlikely to Stop Transmission of COVID‐19 Naturally |
title_full | A Warm Summer is Unlikely to Stop Transmission of COVID‐19 Naturally |
title_fullStr | A Warm Summer is Unlikely to Stop Transmission of COVID‐19 Naturally |
title_full_unstemmed | A Warm Summer is Unlikely to Stop Transmission of COVID‐19 Naturally |
title_short | A Warm Summer is Unlikely to Stop Transmission of COVID‐19 Naturally |
title_sort | warm summer is unlikely to stop transmission of covid‐19 naturally |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7645946/ https://www.ncbi.nlm.nih.gov/pubmed/33173840 http://dx.doi.org/10.1029/2020GH000292 |
work_keys_str_mv | AT suming awarmsummerisunlikelytostoptransmissionofcovid19naturally AT pengshushi awarmsummerisunlikelytostoptransmissionofcovid19naturally AT chenlili awarmsummerisunlikelytostoptransmissionofcovid19naturally AT wangbin awarmsummerisunlikelytostoptransmissionofcovid19naturally AT wangying awarmsummerisunlikelytostoptransmissionofcovid19naturally AT fanxiarui awarmsummerisunlikelytostoptransmissionofcovid19naturally AT dongzhaomin awarmsummerisunlikelytostoptransmissionofcovid19naturally AT suming warmsummerisunlikelytostoptransmissionofcovid19naturally AT pengshushi warmsummerisunlikelytostoptransmissionofcovid19naturally AT chenlili warmsummerisunlikelytostoptransmissionofcovid19naturally AT wangbin warmsummerisunlikelytostoptransmissionofcovid19naturally AT wangying warmsummerisunlikelytostoptransmissionofcovid19naturally AT fanxiarui warmsummerisunlikelytostoptransmissionofcovid19naturally AT dongzhaomin warmsummerisunlikelytostoptransmissionofcovid19naturally |