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2 changes: 1 addition & 1 deletion src/paper/acknowledgments.tex
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The authors are grateful for support by the Deutsche Forschungsgemeinschaft (DFG, German
Research Foundation) under Germany´s Excellence Strategy – EXC 2126/1– 390838866 – and
through CRC-TR 224 (Projects A02 and C01), by the IZA Institute of Labor Economics, and
by the Google Cloud Covid-19 research credits program.
by the Google Cloud CoViD-19 research credits program.

422 changes: 149 additions & 273 deletions src/paper/report.tex

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56 changes: 56 additions & 0 deletions src/paper/results/scenarios.tex
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(April 6). Our analyses show that many socially costly NPIs can be avoided through strong
rapid testing policies.

Two of the most contentious NPIs concern schools and mandates to work from home. In many
countries, schools switched to remote instruction during the first wave, so did Germany.
After the summer break, they were operating at full capacity with increased hygiene
measures, before being closed again from mid-December onward. Some states started opening
them gradually in late February, but operation at normal capacity did not resume until
the beginning of June. Figure~\ref{fig:school_scenarios} shows the effects of different
policies regarding schools starting after Easter, at which point rapid tests had become
widely available. We estimate the realized scenario to have essentially the same effect
as a situation with closed schools. Under fully opened schools with mandatory tests,
total infections would have been 6\% higher; this number rises to 20\% without tests.
These effect sizes are broadly in line with empirical studies (e.g. \citet{Vlachos2021,
Berger2021}, see Section~\ref{subsec:model_validation} for a comparison). In light of the
large negative effects school closures have on children and parents \citep{Luijten2021,
Melegari2021}---and in particular on those with low socio-economic status---these results
in conjunction with hindsight bias suggest that opening schools combined with a testing
strategy would have been beneficial. In other situations, and particular when rapid test
are not available at scale, trade-offs may well be different.

\begin{figure}[!tp]
\centering

\begin{subfigure}[b]{0.425\textwidth}
\centering
\includegraphics[width=\textwidth]{figures/results/figures/scenario_comparisons/school_scenarios/full_newly_infected}
\caption{{Effects of different schooling scenarios}}
\label{fig:school_scenarios}
\end{subfigure}
\hfill
\begin{subfigure}[b]{0.425\textwidth}
\centering
\includegraphics[width=\textwidth]{figures/results/figures/scenario_comparisons/new_work_scenarios/full_newly_infected}
\caption{{Effects of different work scenarios}}
\label{fig:workplace_scenarios}
\end{subfigure}
\vskip3ex

\caption{Effects of different scenarios for policies regarding schools and workplaces.}
\label{fig:school_workplace_scenarios}

\floatfoot{\noindent \textit{Note:} Blue lines in both figures refer to our baseline
scenario; they are the same as in
Figure~\ref{fig:2021_scenarios_newly_infected}. Interventions start at Easter
because there were no capacity constraints for rapid tests afterwards.
For legibility reasons, all lines are rolling 7-day averages.}

\end{figure}

Figure~\ref{fig:workplace_scenarios} shows that with a large fraction of workers
receiving tests, testing at the workplace has larger effects than mandating employees to
work from home. Whether the share of workers working at the usual workplace is reduced
or increased by ten percent changes infection rates by 2.5\% or less in either
direction. Making testing mandatory twice a week---assuming independent compliance by
employers and workers of 95\% each---would have reduced infections by 23\%. Reducing
rapid tests offers by employers to the level of March would have increased infections by
13\%.

Figure~\ref{fig:work_scenarios_detailed} shows the effects of different work policies on
the infections in the general population. We compare four scenarios with our baseline
scenario: Keeping the share of workers having physical work contacts the same as in our
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10 changes: 10 additions & 0 deletions src/science/bibliography.bib
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Expand Up @@ -1800,4 +1800,14 @@ @Unpublished{Raabe2020
year = {2020},
}

@Article{Waskom2021,
author = {Waskom, Michael L},
date = {2021},
journaltitle = {Journal of Open Source Software},
title = {Seaborn: statistical data visualization},
number = {60},
pages = {3021},
volume = {6},
}

@Comment{jabref-meta: databaseType:biblatex;}
71 changes: 71 additions & 0 deletions src/science/cover_letter.tex
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\documentclass[a4paper, 10pt]{article}

\title{The Effectiveness of Strategies to Contain SARS-CoV-2: Testing, Vaccinations, and NPIs}

\usepackage{url}

% Place the author information here. Please hand-code the contact
% information and notecalls; do *not* use \footnote commands. Let the
% author contact information appear immediately below the author names
% as shown. We would also prefer that you don't change the type-size
% settings shown here.

\author
{Janoś Gabler,$^{1, 2}$\\Tobias Raabe,$^{3}$\\Klara Röhrl,$^{1}$\\Hans-Martin von Gaudecker,$^{2,4\ast}$\\
\\
\normalsize{$^{1}$Bonn Graduate School of Economics}\\
\normalsize{$^{2}$IZA Institute of Labor Economics}\\
\normalsize{$^{3}$Private sector}\\
\normalsize{$^{4}$Rheinische Friedrich-Wilhelms-Universität Bonn}\\
\\
\normalsize{$^\ast$To whom correspondence should be addressed; E-mail: hmgaudecker@uni-bonn.de.}
}

\begin{document}

\maketitle

\noindent
\textbf{Main point}
\vskip1ex

\noindent
Our main methodological contribution is to calibrate a very detailed and flexible agent
based model to a long time series of data during the CoVid-19 pandemic. Our core
substantive result is the quantitative importance of rapid testing as a supplement to
NPIs. Due to the slow vaccine roll-out in most countries, this will remain topical for
some time.

\vskip2ex

\noindent
There were no submissions to other journals, nor discussions with editors prior to
submitting the report.

\vskip2ex

\noindent
A draft of this report was reviewed by Prof. Jörg Stoye and Prof. Philipp Eisenhauer.

\vskip2ex

\noindent
A draft of this report has been published as a pre-print on arXiv
(\url{https://arxiv.org/abs/2106.11129}). It is not under consideration for publication
elsewhere.

\vskip2ex

\noindent
All data is freely available in linked to in the supplementary material. Only one data
set, the microcensus of 2010, provided by the FDZ (Forschungsdatenzentren) requires
registration prior to access
(\url{http://www.forschungsdatenzentrum.de/de/campus-files})

\vskip2ex

\noindent
The submitted materials include sections on materials and methods and supplementary
text.

\end{document}

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