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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