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Add the 49th and 50th CTIS publications
(not counting our PNAS paper)
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docs/symptom-survey/publications.md

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@@ -26,6 +26,15 @@ Pandemic"](https://www.pnas.org/topic/548) in *PNAS*:
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Research publications using the survey data include:
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- P. Porebski, S. Venkatramanan, A. Adiga, B. Klahn, B. Hurt, M. L. Wilson,
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J. Chen, A. Vullikanti, M. Marathe & B. Lewis (2024). [Data-driven
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mechanistic framework with stratified immunity and effective transmissibility
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for COVID-19 scenario projections](https://doi.org/10.1016/j.epidem.2024.100761).
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*Epidemics* 100761.
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- V. Nelson, B. Bashyal, P.-N. Tan & Y. A. Argyris (2024). [Vaccine rhetoric
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on social media and COVID-19 vaccine uptake rates: A triangulation using
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self-reported vaccine acceptance](https://doi.org/10.1016/j.socscimed.2024.116775).
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*Social Science & Medicine* 116775.
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- R.R. Andridge (2024). [Using proxy pattern-mixture models to explain bias in
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estimates of COVID-19 vaccine uptake from two large surveys](https://doi.org/10.1093/jrsssa/qnae005).
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*Journal of the Royal Statistical Society Series A: Statistics in Society*.
@@ -34,7 +43,7 @@ Research publications using the survey data include:
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*IISE Transactions*.
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- de Vries, M., Kim, J.Y. & Han, H. (2023). [The unequal landscape of civic
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opportunity in America](https://doi.org/10.1038/s41562-023-01743-1). *Nature
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Human Behavior*.
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Human Behavior* 8, 256-263.
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- E. Tuzhilina, T. J. Hastie, D. J. McDonald, J. K. Tay & R. Tibshirani (2023).
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[Smooth multi-period forecasting with application to prediction of COVID-19
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cases](https://doi.org/10.1080/10618600.2023.2285337). *Journal of Computational

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