Estimates of the reproduction ratio from epidemic surveillance may be biased in spatially structured populations
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2023
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866910774533816320 |
|---|---|
| author | Birello, Piero Fiorentin, Michele Re Wang, Boxuan Colizza, Vittoria Valdano, Eugenio |
| author_facet | Birello, Piero Fiorentin, Michele Re Wang, Boxuan Colizza, Vittoria Valdano, Eugenio |
| contents | Accurate estimates of the reproduction ratio are crucial to project infectious disease epidemic evolution and guide public health response. Here, we prove that estimates of the reproduction ratio based on inference from surveillance data can be inaccurate if the population comprises spatially distinct communities, as the space-mobility interplay may hide the true epidemic evolution from surveillance data. Consequently, surveillance may underestimate the reproduction ratio over long periods, even mistaking growing epidemics as subsiding. To address this, we use the spectral properties of the matrix describing the spatial epidemic spread to reweigh surveillance data. We propose a correction that removes the bias across all epidemic phases. We validate this correction against simulated epidemics and use COVID-19 as a case study. However, our results apply to any epidemic where mobility is a driver of circulation. Our findings will help improve epidemic monitoring and surveillance and inform strategies for public health response. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2307_13798 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Estimates of the reproduction ratio from epidemic surveillance may be biased in spatially structured populations Birello, Piero Fiorentin, Michele Re Wang, Boxuan Colizza, Vittoria Valdano, Eugenio Physics and Society Populations and Evolution Accurate estimates of the reproduction ratio are crucial to project infectious disease epidemic evolution and guide public health response. Here, we prove that estimates of the reproduction ratio based on inference from surveillance data can be inaccurate if the population comprises spatially distinct communities, as the space-mobility interplay may hide the true epidemic evolution from surveillance data. Consequently, surveillance may underestimate the reproduction ratio over long periods, even mistaking growing epidemics as subsiding. To address this, we use the spectral properties of the matrix describing the spatial epidemic spread to reweigh surveillance data. We propose a correction that removes the bias across all epidemic phases. We validate this correction against simulated epidemics and use COVID-19 as a case study. However, our results apply to any epidemic where mobility is a driver of circulation. Our findings will help improve epidemic monitoring and surveillance and inform strategies for public health response. |
| title | Estimates of the reproduction ratio from epidemic surveillance may be biased in spatially structured populations |
| topic | Physics and Society Populations and Evolution |
| url | https://arxiv.org/abs/2307.13798 |