Cargando…
Natural and human environment interactively drive spread pattern of COVID-19: A city-level modeling study in China
A novel Coronavirus COVID-19 has caused high morbidity and mortality in China and worldwide. A few studies have explored the impact of climate change or human activity on the disease incidence in China or a city. The integrated study concerning environment impact on the emerging disease is rarely re...
Autores principales: | Wu, Xiaoxu, Yin, Jie, Li, Chenlu, Xiang, Hongxu, Lv, Meng, Guo, Zhiyi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7598381/ https://www.ncbi.nlm.nih.gov/pubmed/33302071 http://dx.doi.org/10.1016/j.scitotenv.2020.143343 |
Ejemplares similares
-
Interaction of climate and socio-ecological environment drives the dengue outbreak in epidemic region of China
por: Li, Chenlu, et al.
Publicado: (2021) -
The Impact of Environmental and Host Factors on Human Cystic Echinococcosis: A County‐Level Modeling Study in Western China
por: Yin, Jie, et al.
Publicado: (2023) -
The impact of environmental factors on human echinococcosis epidemics: spatial modelling and risk prediction
por: Yin, Jie, et al.
Publicado: (2022) -
Environment and COVID-19 incidence: A critical review
por: Han, Jiatong, et al.
Publicado: (2023) -
Spread pattern of the first dengue epidemic in the city of Salvador, Brazil
por: Barreto, Florisneide R, et al.
Publicado: (2008)