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Wijnberg ID, Soons AJ, Reimerink JG, Wiersma M, Plat MCJ, van Gool T, Jansen GJ, Stijnis C, Koning JG, Meijer A. The performance of a lateral flow SARS-CoV-2 antibody assay and semi-autonomous SARS-CoV-2 antisense and sense RNA fluorescence in situ hybridization assay in a prospective cohort pilot study within a Dutch military population. PLoS One 2024; 19:e0309091. [PMID: 39739954 PMCID: PMC11687928 DOI: 10.1371/journal.pone.0309091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 08/06/2024] [Indexed: 01/02/2025] Open
Abstract
At the beginning of the COVID-19 pandemic, diagnostic testing was not accessible for mildly ill or asymptomatic individuals. Military operational circumstances exclude the usage of reference laboratory tests. For that reason, at the beginning of the pandemic alternative test methods were needed in order to gain insight into the SARS-CoV-2 status of military personnel. The objectives of this study are to assess whether SARS-CoV-2 antibody rapid lateral flow assay (LFA) in combination with semi-autonomous SARS-CoV-2 antisense and sense genomic RNA fluorescence in situ hybridization (FISH) could establish disease status in military personnel in a fieldable setting, and to assess how this combination performed and to determine which type of sample performed best. A proof of concept sub-study regarding the SARS-CoV-2 application of the fieldable Biotrack-MED® FISH analyzer, a semi-autonomous multi-sample filter cytometer, preceded this observational prospective cohort pilot study. Dutch military personnel were included in the 26 June 2020-11 May 2021 period. Blood, nasopharyngeal and oropharyngeal swabs and saliva were tested at days 0 and 14. SPSS version 25 descriptive statistics and Cohen's kappa assessed agreement between test methods. Both the sensitivity and specificity of the field tests were calculated with ELISA and PCR as reference. Saliva appeared to be the preferred sample type for FISH, where blood was not useful. FISH analysis and LFA results had a concordance of 42% for testing negative, 30% for recovered from infection, 22% for ongoing-and 58% for acute infection in a reference laboratory lab result outcome (RT-PCR or ELISA respectively). The LFA results on serum and full blood corresponded with the ELISA-obtained results (kappa of 0.61 and 0.63 respectively at day 0 and 0.81 and 0.77 respectively at day 14). LFA (full blood-serum), FISH and RT-PCR on saliva did not reach the 90% sensitivity level advised by WHO, with 64-54, 38 and 71% at day 0 and 80-79, 53 and 24% at day 14 respectively.
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Affiliation(s)
- Inge D. Wijnberg
- Expertise Centre, (Micro-) Biology and Infectious Diseases Cluster, Coordination Centre for Expertise on Working Conditions and Health (CEAG), Ministry of Defence, Doorn, NLD
- Faculty of Veterinary Medicine, Clinical Sciences, Utrecht University, Utrecht, NLD
| | | | | | | | - Marie Christine J. Plat
- Expertise Centre, Force Health Protection Cluster, Coordination Centre for Expertise on Working Conditions and Health (CEAG), Ministry of Defence, Doorn, NLD
| | - Tom van Gool
- Department of Microbiology/Parasitology, Amsterdam UMC, Amsterdam, NLD
| | | | - Cornelis Stijnis
- Department of Internal medicine/Centre of Tropical and Travel Medicine, Amsterdam UMC, Location AMC, Amsterdam, NLD
| | - Jack G. Koning
- 400 Medical Battalion, Royal Netherlands Army, Ermelo, NLD
| | - Adam Meijer
- National Institute for Public Health and the Environment (RIVM), Centre for Infectious Diseases Research, Diagnostics and Laboratory Surveillance, Bilthoven, NLD
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Tsang TK, Huang X, Wang C, Chen S, Yang B, Cauchemez S, Cowling BJ. The effect of variation of individual infectiousness on SARS-CoV-2 transmission in households. eLife 2023; 12:82611. [PMID: 36880191 PMCID: PMC9991055 DOI: 10.7554/elife.82611] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 02/20/2023] [Indexed: 02/25/2023] Open
Abstract
Quantifying variation of individual infectiousness is critical to inform disease control. Previous studies reported substantial heterogeneity in transmission of many infectious diseases including SARS-CoV-2. However, those results are difficult to interpret since the number of contacts is rarely considered in such approaches. Here, we analyze data from 17 SARS-CoV-2 household transmission studies conducted in periods dominated by ancestral strains, in which the number of contacts was known. By fitting individual-based household transmission models to these data, accounting for number of contacts and baseline transmission probabilities, the pooled estimate suggests that the 20% most infectious cases have 3.1-fold (95% confidence interval: 2.2- to 4.2-fold) higher infectiousness than average cases, which is consistent with the observed heterogeneity in viral shedding. Household data can inform the estimation of transmission heterogeneity, which is important for epidemic management.
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Affiliation(s)
- Tim K Tsang
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong KongHong KongChina
- Laboratory of Data Discovery for HealthHong KongChina
| | - Xiaotong Huang
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong KongHong KongChina
| | - Can Wang
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong KongHong KongChina
| | - Sijie Chen
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong KongHong KongChina
| | - Bingyi Yang
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong KongHong KongChina
| | - Simon Cauchemez
- Mathematical Modelling of Infectious Diseases Unit, Institut PasteurParisFrance
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