Domenech de Cellès lab

Research group at @mpiib_berlin, led by Matthieu Domenech de Cellès focused on vaccines, interactions, and seasonality of infectious diseases.

[Domenech de Cellès lab @domenechlab]

💡What are the implications? Ans: Social contact structure can affect the impact of PCVs and should be taken into consideration when estimating vaccine impact! (6/6)

[Domenech de Cellès lab @domenechlab]

🚨New paper alert: Sharing another latest study from our lab, "Assessing the effect of social contact structure on the impact of pneumococcal conjugate vaccines." https://t.co/C0dCTISJih

Read the 🧵to find out more! (1/6)

[Domenech de Cellès lab @domenechlab]

🔍 We found that varying the social contact matrix alone led to a range of time-to-elimination (3.8-6 years). We further found that such variation was largely explained by the social contact features (total contact rate and assortativity) of children under 5. (5/6)

[Domenech de Cellès lab @domenechlab]

A big thank you to co-authors @PejRohani Tine Dalby
@SSI_dk and @anabelle_wong! (6/6)

[Domenech de Cellès lab @domenechlab]

Happy to share our latest paper 📢 “Natural immune boosting biases pertussis infection estimates in seroprevalence studies.” https://t.co/K7QSqcDEuE

Read the🧵 to find out more! (1/6)

[Domenech de Cellès lab @domenechlab]

💡What is the implication? True infection burden is probably somewhere between reported case number and seropositivity-based estimates. Mathematical models integrating both data streams may get us a better estimate in the future! (5/6)

[Domenech de Cellès lab @domenechlab]

Big thank you to our co-authors! @LauraBarrero083, Sarah Kramer and @tobiaskurth

[Domenech de Cellès lab @domenechlab]

How does weather affect the transmission of infectious diseases, and how can we predict the effects of #climatechange on them? In our latest article published in @NatureEcoEvo, we explore these questions using #causalinference and #transmissionmodels. https://t.co/n9nFSwErwf

[Domenech de Cellès lab @domenechlab]

Integrating causal inference concepts with transmission models is necessary for inferring the effect of weather on infectious diseases and subsequently predicting the consequences of #climatechange on infectious diseases.