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Liu Y, Yin Y, Ward MP, Li K, Chen Y, Duan M, Wong PPY, Hong J, Huang J, Shi J, Zhou X, Chen X, Xu J, Yuan R, Kong L, Zhang Z. Optimization of Screening Strategies for COVID-19: Scoping Review. JMIR Public Health Surveill 2024; 10:e44349. [PMID: 38412011 PMCID: PMC10933748 DOI: 10.2196/44349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 06/29/2023] [Accepted: 11/21/2023] [Indexed: 02/28/2024] Open
Abstract
BACKGROUND COVID-19 screening is an effective nonpharmaceutical intervention for identifying infected individuals and interrupting viral transmission. However, questions have been raised regarding its effectiveness in controlling the spread of novel variants and its high socioeconomic costs. Therefore, the optimization of COVID-19 screening strategies has attracted great attention. OBJECTIVE This review aims to summarize the evidence and provide a reference basis for the optimization of screening strategies for the prevention and control of COVID-19. METHODS We applied a methodological framework for scoping reviews and the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) checklist. We conducted a scoping review of the present publications on the optimization of COVID-19 screening strategies. We searched the PubMed, Web of Science, and Elsevier ScienceDirect databases for publications up to December 31, 2022. English publications related to screening and testing strategies for COVID-19 were included. A data-charting form, jointly developed by 2 reviewers, was used for data extraction according to the optimization directions of the screening strategies. RESULTS A total of 2770 unique publications were retrieved from the database search, and 95 abstracts were retained for full-text review. There were 62 studies included in the final review. We summarized the results in 4 major aspects: the screening population (people at various risk conditions such as different regions and occupations; 12/62, 19%), the timing of screening (when the target population is tested before travel or during an outbreak; 12/62, 19%), the frequency of screening (appropriate frequencies for outbreak prevention, outbreak response, or community transmission control; 6/62, 10%), and the screening and detection procedure (the choice of individual or pooled detection and optimization of the pooling approach; 35/62, 56%). CONCLUSIONS This review reveals gaps in the optimization of COVID-19 screening strategies and suggests that a number of factors such as prevalence, screening accuracy, effective allocation of resources, and feasibility of strategies should be carefully considered in the development of future screening strategies.
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Affiliation(s)
- Yuanhua Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Yun Yin
- Department of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Michael P Ward
- Sydney School of Veterinary Science, The University of Sydney, NSW, Australia
| | - Ke Li
- Department of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Yue Chen
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Mengwei Duan
- Department of Mathematics and Physics, North China Electric Power University, Baoding, China
| | | | - Jie Hong
- Department of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Jiaqi Huang
- Department of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Jin Shi
- Department of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Xuan Zhou
- Department of Mathematics and Physics, North China Electric Power University, Baoding, China
| | - Xi Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Jiayao Xu
- Department of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Rui Yuan
- Department of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Lingcai Kong
- Department of Mathematics and Physics, North China Electric Power University, Baoding, China
| | - Zhijie Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
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Kyo H, Patel SA, Yamamoto M, Matsumura Y, Ikeda T, Nagao M. A population-based study of the trend in SARS-CoV-2 diagnostic modalities from the beginning of the pandemic to the Omicron surge in Kyoto City, Kyoto, Japan. BMC Public Health 2023; 23:2551. [PMID: 38129830 PMCID: PMC10734122 DOI: 10.1186/s12889-023-17498-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 12/15/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND The coronavirus disease 2019 (COVID-19) presents critical diagnostic challenges for managing the pandemic. We investigated the 30-month changes in COVID-19 testing modalities and functional testing sites from the early period of the pandemic to the most recent Omicron surge in 2022 in Kyoto City, Japan. METHODS This is a retrospective-observational study using a local anonymized population database that included patients' demographic and clinical information, testing methods and facilities from January 2020 to June 2022, a total of 30 months. We computed the distribution of symptomatic presentation, testing methods, and testing facilities among cases. Differences over time were tested using chi-square tests of independence. RESULTS During the study period, 133,115 confirmed COVID-19 cases were reported, of which 90.9% were symptomatic. Although nucleic acid amplification testing occupied 68.9% of all testing, the ratio of lateral flow devices (LFDs) rapidly increased in 2022. As the pandemic continued, the testing capability was shifted from COVID-19 designated facilities to general practitioners, who became the leading testing providers (57.3% of 99,945 tests in 2022). CONCLUSIONS There was a dynamic shift in testing modality during the first 30 months of the pandemic in Kyoto City. General practitioners increased their role substantially as the use of LFDs spread dramatically in 2022. By comprehending and documenting the evolution of testing methods and testing locations, it is anticipated that this will contribute to the establishment of an even more efficient testing infrastructure for the next pandemic.
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Affiliation(s)
- Hiroki Kyo
- MetroAtlanta Ambulance Service, Emory Healthcare Network, Atlanta, GA, USA
| | - Shivani A Patel
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Masaki Yamamoto
- Department of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Department of Clinical Laboratory, Kyoto University Hospital, Kyoto, Japan
| | - Yasufumi Matsumura
- Department of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Department of Clinical Laboratory, Kyoto University Hospital, Kyoto, Japan
| | - Takeshi Ikeda
- Public Health and Welfare Bureau of Kyoto City, Kyoto, Japan
| | - Miki Nagao
- Department of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
- Department of Clinical Laboratory, Kyoto University Hospital, Kyoto, Japan.
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Bassanello M, Geppini R, Bonsembiante E, Coli U, Farencena A, D’Aquino M, Gambaro A, Buja A, Baldovin T. Risk of SARS-CoV-2 transmission in the close contacts in a small rural area in the Veneto Region (NE-Italy): past evidence for future scenarios. Front Public Health 2023; 11:1223109. [PMID: 37732097 PMCID: PMC10507707 DOI: 10.3389/fpubh.2023.1223109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 08/14/2023] [Indexed: 09/22/2023] Open
Abstract
Background During the first pandemic phase of COVID-19, an epidemiological study, named First survey, was conducted on the population of a small rural area in northern Italy. In spring 2020, the results showed how a prolonged lockdown slowed down the spread of the virus. Methods After contacting positive First Survey subjects and their families, those who decided to join voluntarily underwent a blood test to assess the presence of qualitative lgG about 2 months after the previous one. This was to determine if IgG persisted in individuals who tested positive in the First Survey as well as to assess the antibody status of their close family members, to determine if they were unintentionally infected. Results Based on serological analysis, 35.1% of the samples contained blood IgG. In subjects who tested positive during the First Survey, 62.5% remained IgG positive more than 2 months later. Among family members who were exposed to a positive relative, 23.7% were infected. Linear regression analysis showed that the presence of an infected person within a household resulted in the infection spreading to the others, but not excessively. Induced isolation extinguished the infection regardless of the extent of the contagion (intra-family or extra-family). Micro-outbreaks of SARS-Cov-2 infection which arose in the same household from extra-familial infections played a decisive role on the statistical significance of IgG-positive subjects (p < 0.001). Discussion The study reveal 52.6% of the IgG-positive subjects in the Second Survey came from the First Survey and 47.4% were family members previously in contact with positive subjects. Data suggest that there have been undiagnosed patients feeding the spread of the virus since the beginning of the pandemic. In conclusion, for future pandemics, it will be necessary: i) to ensure the rapid isolation of symptomatic patients and the early identification of their close contacts, ii) to carry out the maximum number of tests in the shortest possible time, both on symptomatic and asymptomatic subjects, and iii) to implement information campaigns to make people aware of their risks, and implement clear, non-conflicting communication.
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Affiliation(s)
- Marco Bassanello
- Emergency and Health Department, Monastier di Treviso Hospital, Treviso, Italy
- Hygiene and Public Health Unit, Department of Cardiac, Thoracic and Vascular Sciences, School of Medicine and Surgery, University of Padua, Padua, Italy
| | - Ruggero Geppini
- Hygiene and Public Health Unit, Department of Cardiac, Thoracic and Vascular Sciences, School of Medicine and Surgery, University of Padua, Padua, Italy
| | | | - Ugo Coli
- Health Department, Monastier di Treviso Hospital, Treviso, Italy
| | - Aldo Farencena
- Laboratory and Microbiology Monastier di Treviso Hospital, Treviso, Italy
| | | | - Andrea Gambaro
- Department of Environmental Sciences, Informatics and Statistics (DAIS), Ca’ Foscari University of Venice, Venice, Italy
| | - Alessandra Buja
- Hygiene and Public Health Unit, Department of Cardiac, Thoracic and Vascular Sciences, School of Medicine and Surgery, University of Padua, Padua, Italy
| | - Tatjana Baldovin
- Hygiene and Public Health Unit, Department of Cardiac, Thoracic and Vascular Sciences, School of Medicine and Surgery, University of Padua, Padua, Italy
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Ionescu RE. Updates on the Biofunctionalization of Gold Nanoparticles for the Rapid and Sensitive Multiplatform Diagnosis of SARS-CoV-2 Virus and Its Proteins: From Computational Models to Validation in Human Samples. Int J Mol Sci 2023; 24:ijms24119249. [PMID: 37298201 DOI: 10.3390/ijms24119249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 05/19/2023] [Accepted: 05/22/2023] [Indexed: 06/12/2023] Open
Abstract
Since the outbreak of the pandemic respiratory virus SARS-CoV-2 (COVID-19), academic communities and governments/private companies have used several detection techniques based on gold nanoparticles (AuNPs). In this emergency context, colloidal AuNPs are highly valuable easy-to-synthesize biocompatible materials that can be used for different functionalization strategies and rapid viral immunodiagnosis. In this review, the latest multidisciplinary developments in the bioconjugation of AuNPs for the detection of SARS-CoV-2 virus and its proteins in (spiked) real samples are discussed for the first time, with reference to the optimal parameters provided by three approaches: one theoretical, via computational prediction, and two experimental, using dry and wet chemistry based on single/multistep protocols. Overall, to achieve high specificity and low detection limits for the target viral biomolecules, optimal running buffers for bioreagent dilutions and nanostructure washes should be validated before conducting optical, electrochemical, and acoustic biosensing investigations. Indeed, there is plenty of room for improvement in using gold nanomaterials as stable platforms for ultrasensitive and simultaneous "in vitro" detection by the untrained public of the whole SARS-CoV-2 virus, its proteins, and specific developed IgA/IgM/IgG antibodies (Ab) in bodily fluids. Hence, the lateral flow assay (LFA) approach is a quick and judicious solution to combating the pandemic. In this context, the author classifies LFAs according to four generations to guide readers in the future development of multifunctional biosensing platforms. Undoubtedly, the LFA kit market will continue to improve, adapting researchers' multidetection platforms for smartphones with easy-to-analyze results, and establishing user-friendly tools for more effective preventive and medical treatments.
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Affiliation(s)
- Rodica Elena Ionescu
- Light, Nanomaterials and Nanotechnology (L2n) Laboratory, CNRS EMR 7004, University of Technology of Troyes, 12 Rue Marie Curie, CS 42060, CEDEX, 10004 Troyes, France
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Yin Y, Liu Y, Duan M, Xie X, Hong J, Huang J, Li K, Shi J, Chen X, Guo H, Zhou X, Liu R, Zhou C, Wang X, Kong L, Zhang Z. Optimizing the nucleic acid screening strategy to mitigate regional outbreaks of SARS-CoV-2 Omicron variant in China: a modeling study. Infect Dis Poverty 2023; 12:1. [PMID: 36642738 PMCID: PMC9841147 DOI: 10.1186/s40249-022-01049-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 12/11/2022] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND The Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spreads rapidly and insidiously. Coronavirus disease 2019 (COVID-19) screening is an important means of blocking community transmission in China, but the costs associated with testing are high. Quarantine capacity and medical resources are also threatened. Therefore, we aimed to evaluate different screening strategies to balance outbreak control and consumption of resources. METHODS A community network of 2000 people, considering the heterogeneities of household size and age structure, was generated to reflect real contact networks, and a stochastic individual-based dynamic model was used to simulate SARS-CoV-2 transmission and assess different whole-area nucleic acid screening strategies. We designed a total of 87 screening strategies with different sampling methods, frequencies of screening, and timings of screening. The performance of these strategies was comprehensively evaluated by comparing the cumulative infection rates, the number of tests, and the quarantine capacity and consumption of medical resource, which were expressed as medians (95% uncertainty intervals, 95% UIs). RESULTS To implement COVID-19 nucleic acid testing for all people (Full Screening), if the screening frequency was four times/week, the cumulative infection rate could be reduced to 13% (95% UI: 1%, 51%), the miss rate decreased to 2% (95% UI: 0%, 22%), and the quarantine and medical resource consumption was lower than higher-frequency Full Screening or sampling screening. When the frequency of Full Screening increased from five to seven times/week (which resulted in a 2581 increase in the number of tests per positive case), the cumulative infection rate was only reduced by 2%. Screening all people weekly by splitting them equally into seven batches could reduce infection rates by 73% compared to once per week, which was similar to Full Screening four times/week. Full Screening had the highest number of tests per positive case, while the miss rate, number of tests per positive case, and hotel quarantine resource consumption in Household-based Sampling Screening scenarios were lower than Random Sampling Screening. The cumulative infection rate of Household-based Sampling Screening or Random Sampling Screening seven times/week was similar to that of Full Screening four times/week. CONCLUSIONS If hotel quarantine, hospital and shelter hospital capacity are seriously insufficient, to stop the spread of the virus as early as possible, high-frequency Full Screening would be necessary, but intermediate testing frequency may be more cost-effective in non-extreme situations. Screening in batches is recommended if the testing capacity is low. Household-based Sampling Screening is potentially a promising strategy to implement.
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Affiliation(s)
- Yun Yin
- grid.8547.e0000 0001 0125 2443Department of Epidemiology and Health Statistics, School of Public Health, Fudan University, No.130, Dong’An Road, Xuhui District, Shanghai, 200032 China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Yuanhua Liu
- grid.8547.e0000 0001 0125 2443Department of Epidemiology and Health Statistics, School of Public Health, Fudan University, No.130, Dong’An Road, Xuhui District, Shanghai, 200032 China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Mengwei Duan
- grid.261049.80000 0004 0645 4572Department of Mathematics and Physics, North China Electric Power University, Baoding, China
| | - Xiyang Xie
- grid.261049.80000 0004 0645 4572Department of Mathematics and Physics, North China Electric Power University, Baoding, China
| | - Jie Hong
- grid.8547.e0000 0001 0125 2443Department of Epidemiology and Health Statistics, School of Public Health, Fudan University, No.130, Dong’An Road, Xuhui District, Shanghai, 200032 China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Jiaqi Huang
- grid.8547.e0000 0001 0125 2443Department of Epidemiology and Health Statistics, School of Public Health, Fudan University, No.130, Dong’An Road, Xuhui District, Shanghai, 200032 China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Ke Li
- grid.8547.e0000 0001 0125 2443Department of Epidemiology and Health Statistics, School of Public Health, Fudan University, No.130, Dong’An Road, Xuhui District, Shanghai, 200032 China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Jin Shi
- grid.8547.e0000 0001 0125 2443Department of Epidemiology and Health Statistics, School of Public Health, Fudan University, No.130, Dong’An Road, Xuhui District, Shanghai, 200032 China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Xi Chen
- grid.8547.e0000 0001 0125 2443Department of Epidemiology and Health Statistics, School of Public Health, Fudan University, No.130, Dong’An Road, Xuhui District, Shanghai, 200032 China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Hongyan Guo
- Department of Blood Transfusion, Changchun People’s Hospital, Changchun, China
| | - Xuan Zhou
- grid.261049.80000 0004 0645 4572Department of Mathematics and Physics, North China Electric Power University, Baoding, China
| | - Rui Liu
- grid.412508.a0000 0004 1799 3811Department of Geomatics and Spatial Information, Shandong University of Science and Technology, Qingdao, China
| | - Caifeng Zhou
- grid.261049.80000 0004 0645 4572Department of Mathematics and Physics, North China Electric Power University, Baoding, China
| | - Xiaozhe Wang
- grid.261049.80000 0004 0645 4572Department of Mathematics and Physics, North China Electric Power University, Baoding, China
| | - Lingcai Kong
- grid.261049.80000 0004 0645 4572Department of Mathematics and Physics, North China Electric Power University, Baoding, China
| | - Zhijie Zhang
- grid.8547.e0000 0001 0125 2443Department of Epidemiology and Health Statistics, School of Public Health, Fudan University, No.130, Dong’An Road, Xuhui District, Shanghai, 200032 China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
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