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| author | David A. Madore <david+git@madore.org> | 2020-05-18 12:32:18 +0200 |
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| committer | David A. Madore <david+git@madore.org> | 2020-05-18 12:32:18 +0200 |
| commit | dadd944baf7da873ab4dba641c89642c5626b60d (patch) | |
| tree | 2ae3b2e8e7d32c94184d0902177a56c681c5cd26 | |
| parent | e61af1ee169a8a3fe9ca0c0fd7a6b0a8b426cbea (diff) | |
| download | covid19-dadd944baf7da873ab4dba641c89642c5626b60d.tar.gz covid19-dadd944baf7da873ab4dba641c89642c5626b60d.tar.bz2 covid19-dadd944baf7da873ab4dba641c89642c5626b60d.zip | |
Two more papers on Covid-19 spreading.
| -rw-r--r-- | covid19-links.md | 21 |
1 files changed, 21 insertions, 0 deletions
diff --git a/covid19-links.md b/covid19-links.md index d463f0a..421c5f8 100644 --- a/covid19-links.md +++ b/covid19-links.md @@ -117,6 +117,15 @@ (2020-05-05 preprint), a detailed model of the post-lockdown phase in France. +* [What settings have been linked to SARS-CoV-2 transmission + clusters?](https://wellcomeopenresearch.org/articles/5-83) + (2020-05-01, open peer review) identifies possible places linked to + clusters of Covid-19 cases. Key finding: many examples of + SARS-CoV-2 clusters linked to a wide range of mostly indoor + settings: few reports came from schools, many from households, and + an increasing number were reported in hospitals and elderly care + settings across Europe. + * [Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China](https://science.sciencemag.org/content/early/2020/04/28/science.abb8001) @@ -168,6 +177,18 @@ state of current knowledge](https://www.vidal.fr/actualites/24770/persistance_et_efficacite_des_anticorps_neutralisants_contre_le_sars_cov_2_etat_des_connaissances_et_lecons_des_autres_coronavirus_humains/) (2020-04-20 \[in French\]). +* [Estimating the overdispersion in COVID-19 transmission using + outbreak sizes outside + China](https://wellcomeopenresearch.org/articles/5-67) (2020-04-09, + open peer review) attempts to estimate variance in COVID-19 + transmission rates by modeling secondary transmission rates as a + negative-binomial distribution with mean R₀ in the 2–3 consensus + range and estimating the overdispersion parameter. Key finding: the + overdispersion parameter k of a negative-binomial distribution was + estimated to be around 0.1, suggesting that 80% of secondary + transmissions may have been caused by a small fraction of infectious + individuals (~10%). + * [Indoor transmission of SARS-CoV-2](https://www.medrxiv.org/content/10.1101/2020.04.04.20053058v1) (2020-04-07 preprint) confirms that sharing indoor place is the |