Optimal environmental testing frequency for outbreak surveillance

Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved..

Public health surveillance for pathogens presents an optimization problem: we require enough sampling to identify intervention-triggering shifts in pathogen epidemiology, such as new introductions or sudden increases in prevalence, but not so much that costs due to surveillance itself outweigh those from pathogen-associated illness. To determine this optimal sampling frequency, we developed a general mathematical model for the introduction of a new pathogen that, once introduced, increases in prevalence exponentially. Given the relative cost of infection vs. sampling, we derived equations for the expected combined cost per unit time of disease burden and surveillance for a specified sampling frequency, and thus the sampling frequency for which the expected total cost per unit time is lowest.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:46

Enthalten in:

Epidemics - 46(2024) vom: 23. März, Seite 100750

Sprache:

Englisch

Beteiligte Personen:

Olejarz, Jason W [VerfasserIn]
Roster, Kirstin I Oliveira [VerfasserIn]
Kissler, Stephen M [VerfasserIn]
Lipsitch, Marc [VerfasserIn]
Grad, Yonatan H [VerfasserIn]

Links:

Volltext

Themen:

Early pathogen detection
Environmental surveillance
Journal Article
Mathematical modeling
Vector trapping
Wastewater sampling

Anmerkungen:

Date Completed 12.03.2024

Date Revised 31.03.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.epidem.2024.100750

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM368849104