Updated news

Author: ccattuto

_news/2019-05-22-kenya-social-contact-patterns-study.md

@@ -8,3 +8,13 @@ slug: kenya-social-contact-patterns-study
 We have published a <a href="https://wellcomeopenresearch.org/articles/4-84">study protocol in Wellcome Open Research</a> describing new data collection efforts in Kenya. In collaboration with researchers at KEMRI-Wellcome Trust and the University of Warwick, we are deploying proximity sensors in two schools (one rural, one urban) and in associated households in Kilifi County, Kenya.
 
 This marks the first application of the SocioPatterns measurement approach in sub-Saharan Africa. Each deployment will involve up to 350 participants wearing wireless proximity sensors for 7 consecutive days to capture face-to-face contact patterns. The resulting data will characterize contact patterns that shape respiratory infection transmission in previously unstudied populations and settings, and will be used to parameterize mathematical simulation models of transmission for respiratory viruses, including respiratory syncytial virus.
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+  <a href="/assets/img/kenya2019_wellcome.png">
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+  </a>
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_news/2021-09-08-malawi-social-contact-patterns.md

@@ -10,9 +10,9 @@ We have published a <a href="https://epjdatascience.springeropen.com/articles/10
 Using wearable proximity sensors, we measured contact patterns among 164 individuals over five days in a village in southern Malawi. The data reveal contact patterns that differ substantially from those observed in high-income countries, with implications for understanding respiratory disease transmission in low-resource settings. The study highlights the importance of collecting empirical contact data across diverse populations and environments to inform public health interventions.
 
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-  <a href="/assets/img/roll/malawi2023_socnet.jpg">
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+      src="/assets/img/malawi2023_socnet.jpg"
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     >