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A Model for Highly Fluctuating Spatio-Temporal Infection Data, with Applications to the COVID Epidemic
Spatio-temporal models need to address specific features of spatio-temporal infection data, such as periods of stable infection levels (endemicity), followed by epidemic phases, as well as infection spread from neighbouring areas. In this paper, we consider a mixture-link model for infection counts...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9179960/ https://www.ncbi.nlm.nih.gov/pubmed/35682250 http://dx.doi.org/10.3390/ijerph19116669 |