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Estimating the human bottleneck for contact tracing.
Broda, Maximilian D; Borovska, Petra; Kollenda, Diana; Linka, Marcel; de Haas, Naomi; de Haas, Samuel; de Haas, Benjamin.
Affiliation
  • Broda MD; Experimental Psychology, Justus Liebig University Giessen, Otto-Behaghel-Str 10F, 35394 Giessen, Germany.
  • Borovska P; Center for Mind, Brain and Behavior, Universities of Marburg, Giessen and Darmstadt, Hans-Meerwein-Strasse 6, 35032 Marburg, Germany.
  • Kollenda D; Experimental Psychology, Justus Liebig University Giessen, Otto-Behaghel-Str 10F, 35394 Giessen, Germany.
  • Linka M; Experimental Psychology, Justus Liebig University Giessen, Otto-Behaghel-Str 10F, 35394 Giessen, Germany.
  • de Haas N; Experimental Psychology, Justus Liebig University Giessen, Otto-Behaghel-Str 10F, 35394 Giessen, Germany.
  • de Haas S; Independent researcher.
  • de Haas B; Chair for Industrial Organization, Regulation and Antitrust, Department of Economics, Justus Liebig University Giessen, Licher Straße 62, 35394 Giessen, Germany.
PNAS Nexus ; 3(7): pgae283, 2024 Jul.
Article in En | MEDLINE | ID: mdl-39076682
ABSTRACT
The SARS-CoV-2 pandemic has highlighted the importance of contact tracing for epidemiological mitigation. Contact tracing interviews (CTIs) typically rely on episodic memory, which is prone to decline over time. Here, we provide a quantitative estimate of reporting decline for age- and gender-representative samples from the United Kingdom and Germany, emulating >15,000 CTIs. We find that the number of reported contacts declines as a power function of recall delay and is significantly higher for younger subjects and for those who used memory aids, such as a scheduler. We further find that these factors interact with delay Older subjects and those who made no use of memory aids have steeper decline functions. These findings can inform epidemiological modeling and policies in the context of infectious diseases.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: PNAS Nexus Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: PNAS Nexus Year: 2024 Document type: Article