SARS-CoV-2 PCR and antibody testing for an entire rural community: methods and feasibility of high-throughput testing procedures.
Arch Public Health
; 79(1): 125, 2021 Jul 07.
Article
em En
| MEDLINE
| ID: mdl-34233752
ABSTRACT
BACKGROUND:
Early in the pandemic, inadequate SARS-CoV-2 testing limited understanding of transmission. Chief among barriers to large-scale testing was unknown feasibility, particularly in non-urban areas. Our objective was to report methods of high-volume, comprehensive SARS-CoV-2 testing, offering one model to augment disease surveillance in a rural community.METHODS:
A community-university partnership created an operational site used to test most residents of Bolinas, California regardless of symptoms in 4 days (April 20th - April 23rd, 2020). Prior to testing, key preparatory elements included community mobilization, pre-registration, volunteer recruitment, and data management. On day of testing, participants were directed to a testing lane after site entry. An administrator viewed the lane-specific queue and pre-prepared test kits, linked to participants' records. Medical personnel performed sample collection, which included finger prick with blood collection to run laboratory-based antibody testing and respiratory specimen collection for polymerase chain reaction (PCR).RESULTS:
Using this 4-lane model, 1,840 participants were tested in 4 days. A median of 57 participants (IQR 47-67) were tested hourly. The fewest participants were tested on day 1 (n = 338 participants), an intentionally lower volume day, increasing to n = 571 participants on day 4. The number of testing teams was also increased to two per lane to allow simultaneous testing of multiple participants on days 2-4. Consistent staffing on all days helped optimize proficiency, and strong community partnership was essential from planning through execution.CONCLUSIONS:
High-volume ascertainment of SARS-CoV-2 prevalence by PCR and antibody testing was feasible when conducted in a community-led, drive-through model in a non-urban area.
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Bases de dados:
MEDLINE
Tipo de estudo:
Risk_factors_studies
Idioma:
En
Revista:
Arch Public Health
Ano de publicação:
2021
Tipo de documento:
Article
País de afiliação:
Estados Unidos