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Talts T, Mosscrop LG, Williams D, Tregoning JS, Paulo W, Kohli A, Williams TC, Hoschler K, Ellis J, de Lusignan S, Zambon M. Robust and sensitive amplicon-based whole-genome sequencing assay of respiratory syncytial virus subtype A and B. Microbiol Spectr 2024; 12:e0306723. [PMID: 38411056 PMCID: PMC10986592 DOI: 10.1128/spectrum.03067-23] [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: 08/09/2023] [Accepted: 02/06/2024] [Indexed: 02/28/2024] Open
Abstract
Prevention of respiratory syncytial virus (RSV) infection is now a global health priority, with a long-acting monoclonal antibody and two RSV vaccines recently licenced for clinical use. Most licenced and candidate interventions target the RSV fusion (RSV-F) protein. New interventions may be associated with the spread of mutations, reducing susceptibility to antibody neutralization in RSV-F. There is a need for ongoing longitudinal global surveillance of circulating RSV strains. To achieve this large-scale genomic surveillance, a reliable, high-throughput RSV sequencing assay is required. Here we report an improved high-throughput RSV whole-genome sequencing (WGS) assay performed directly on clinical samples without additional enrichment, using a 4-primer-pool, short-amplicon PCR-tiling approach that is suitable for short-read sequencing platforms. Using upper respiratory tract (URT) RSV-positive clinical samples obtained from a sentinel network of primary care providers and from hospital patients (29.7% and 70.2%, respectively; n = 1,037), collected over the period 2019 to 2023, this assay had a threshold of approximately 4 × 103 to 8 × 103 copies/mL (RSV-B and RSV-A sub-types, respectively) as the lowest amount of virus needed in the sample to achieve >96% of whole-genome coverage at a high-quality level. Using a Ct value of 31 as an empirical cut-off, the overall assay success rate of obtaining >90% genome coverage at a read depth minimum of 20 was 96.83% for clinical specimens successfully sequenced from a total of 1,071. The RSV WGS approach described in this study has increased sensitivity compared to previous approaches and can be applied to clinical specimens without the requirement for enrichment. The updated approach produces sequences of high quality consistently and cost-effectively, suitable for implementation to underpin national programs for the surveillance of RSV genomic variation. IMPORTANCE In this paper, we report an improved high-throughput respiratory syncytial virus (RSV) whole-genome sequencing (WGS) assay performed directly on clinical samples, using a 4-primer-pool, short-amplicon PCR-tiling approach that is suitable for short-read sequencing platforms. The RSV WGS approach described in this study has increased sensitivity compared to previous approaches and can be applied to clinical specimens without the requirement for enrichment. The updated approach produces sequences of high quality consistently and cost-effectively, suitable for implementation to underpin national and global programs for the surveillance of RSV genomic variation. The quality of sequence produced is essential for preparedness for new interventions in monitoring antigenic escape, where a single point mutation might lead to a reduction in antibody binding effectiveness and neutralizing activity, or indeed in the monitoring of retaining susceptibility to neutralization by existing and new interventions.
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Affiliation(s)
- Tiina Talts
- UK Health Security Agency, London, United Kingdom
| | | | | | | | | | | | | | | | - Joanna Ellis
- UK Health Security Agency, London, United Kingdom
| | | | - Maria Zambon
- UK Health Security Agency, London, United Kingdom
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Middleton C, Larremore DB. Modeling the Transmission Mitigation Impact of Testing for Infectious Diseases. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2023.09.22.23295983. [PMID: 37808825 PMCID: PMC10557819 DOI: 10.1101/2023.09.22.23295983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
A fundamental question of any program focused on the testing and timely diagnosis of a communicable disease is its effectiveness in reducing transmission. Here, we introduce testing effectiveness (TE)-the fraction by which testing and post-diagnosis isolation reduce transmission at the population scale-and a model that incorporates test specifications and usage, within-host pathogen dynamics, and human behaviors to estimate TE. Using TE to guide recommendations, we show that today's rapid diagnostics should be used immediately upon symptom onset to control influenza A and respiratory syncytial virus (RSV), but delayed by up to 2d to control omicron-era SARS-CoV-2. Furthermore, while rapid tests are superior to RT-qPCR for control of founder-strain SARS-CoV-2, omicron-era changes in viral kinetics and rapid test sensitivity cause a reversal, with higher TE for RT-qPCR despite longer turnaround times. Finally, we illustrate the model's flexibility by quantifying tradeoffs in the use of post-diagnosis testing to shorten isolation times.
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Affiliation(s)
- Casey Middleton
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, USA
- BioFrontiers Institute, University of Colorado Boulder, Boulder, CO, USA
| | - Daniel B Larremore
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, USA
- BioFrontiers Institute, University of Colorado Boulder, Boulder, CO, USA
- Santa Fe Institute, Santa Fe, NM, USA
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Zhang XL, Zhang X, Hua W, Xie ZD, Liu HM, Zhang HL, Chen BQ, Chen Y, Sun X, Xu Y, Shu SN, Zhao SY, Shang YX, Cao L, Jia YH, Lin LN, Li J, Hao CL, Dong XY, Lin DJ, Xu HM, Zhao DY, Zeng M, Chen ZM, Huang LS. Expert consensus on the diagnosis, treatment, and prevention of respiratory syncytial virus infections in children. World J Pediatr 2024; 20:11-25. [PMID: 38064012 PMCID: PMC10828005 DOI: 10.1007/s12519-023-00777-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 10/26/2023] [Indexed: 01/31/2024]
Abstract
BACKGROUND Respiratory syncytial virus (RSV) is the leading global cause of respiratory infections and is responsible for about 3 million hospitalizations and more than 100,000 deaths annually in children younger than 5 years, representing a major global healthcare burden. There is a great unmet need for new agents and universal strategies to prevent RSV infections in early life. A multidisciplinary consensus development group comprising experts in epidemiology, infectious diseases, respiratory medicine, and methodology aims to develop the current consensus to address clinical issues of RSV infections in children. DATA SOURCES The evidence searches and reviews were conducted using electronic databases, including PubMed, Embase, Web of Science, and the Cochrane Library, using variations in terms for "respiratory syncytial virus", "RSV", "lower respiratory tract infection", "bronchiolitis", "acute", "viral pneumonia", "neonatal", "infant" "children", and "pediatric". RESULTS Evidence-based recommendations regarding diagnosis, treatment, and prevention were proposed with a high degree of consensus. Although supportive care remains the cornerstone for the management of RSV infections, new monoclonal antibodies, vaccines, drug therapies, and viral surveillance techniques are being rolled out. CONCLUSIONS This consensus, based on international and national scientific evidence, reinforces the current recommendations and integrates the recent advances for optimal care and prevention of RSV infections. Further improvements in the management of RSV infections will require generating the highest quality of evidence through rigorously designed studies that possess little bias and sufficient capacity to identify clinically meaningful end points.
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Affiliation(s)
- Xian-Li Zhang
- Department of Infectious Disease, Children's Hospital, Zhejiang University School of Medicine, 3333 Binsheng Road, Binjiang District, Hangzhou, 310052, China
| | - Xi Zhang
- Clinical Research Unit, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wang Hua
- Department of Infectious Disease, Children's Hospital, Zhejiang University School of Medicine, 3333 Binsheng Road, Binjiang District, Hangzhou, 310052, China
| | - Zheng-De Xie
- Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, Beijing, China
| | - Han-Min Liu
- Department of Pediatric Pulmonology, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Hai-Lin Zhang
- Department of Pediatric Pulmonology, the Second Affiliated Hospital & Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Bi-Quan Chen
- Department of Infectious Disease, Anhui Provincial Children's Hospital, Hefei, China
| | - Yuan Chen
- Department of Pediatrics, the Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xin Sun
- Department of Pediatrics, Xijing Hospital, the Fourth Military Medical University, Xi'an, China
| | - Yi Xu
- Department of Infectious Disease, Guangzhou Women and Children's Medicine Center, Guangzhou Medicine University, Guangzhou, China
| | - Sai-Nan Shu
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shun-Ying Zhao
- Department of Respiratory Disease, Beijing Children's Hospital, Capital Medical University, Beijing, China
| | - Yun-Xiao Shang
- Department of Pediatric Respiratory, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ling Cao
- Respiratory Department, Children's Hospital Affiliated to Capital Institute of Pediatrics, Beijing, China
| | - Yan-Hui Jia
- Department of Infectious Disease, Children's Hospital, Zhejiang University School of Medicine, 3333 Binsheng Road, Binjiang District, Hangzhou, 310052, China
| | - Luo-Na Lin
- Department of Infectious Disease, Children's Hospital, Zhejiang University School of Medicine, 3333 Binsheng Road, Binjiang District, Hangzhou, 310052, China
| | - Jiong Li
- Department of Clinical Epidemiology, Aarhus University, Aarhus, Denmark
| | - Chuang-Li Hao
- Department of Respirology, Children's Hospital of Soochow University, Suzhou, China
| | - Xiao-Yan Dong
- Department of Respiratory, Children's Hospital of Shanghai, Children's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dao-Jiong Lin
- Department of Infectious Disease, Hainan Women and Children's Medical Center, Haikou, China
| | - Hong-Mei Xu
- Department of Infectious Disease, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - De-Yu Zhao
- Department of Respiratory, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Mei Zeng
- Department of Infectious Diseases, Children's Hospital of Fudan University, 399 Wanyuan Road, Minhang District, Shanghai, 201102, China.
| | - Zhi-Min Chen
- Department of Respiratory Diseases, Children's Hospital, Zhejiang University School of Medicine, 3333 Binsheng Road, Binjiang District, Hangzhou, 310052, China.
| | - Li-Su Huang
- Department of Infectious Disease, Children's Hospital, Zhejiang University School of Medicine, 3333 Binsheng Road, Binjiang District, Hangzhou, 310052, China.
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Polymicrobial Interactions Operative during Pathogen Transmission. mBio 2021; 12:mBio.01027-21. [PMID: 34006664 PMCID: PMC8262881 DOI: 10.1128/mbio.01027-21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Pathogen transmission is a key point not only for infection control and public health interventions but also for understanding the selective pressures in pathogen evolution. The “success” of a pathogen lies not in its ability to cause signs and symptoms of illness but in its ability to be shed from the initial hosts, survive between hosts, and then establish infection in a new host. Recent insights have shown the importance of the interaction between the pathogen and both the commensal microbiome and coinfecting pathogens on shedding, environmental survival, and acquisition of infection. Pathogens have evolved in the context of cooperation and competition with other microbes, and the roles of these cooperations and competitions in transmission can inform novel preventative and therapeutic strategies.
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5
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Barbora A, Minnes R. Targeted antiviral treatment using non-ionizing radiation therapy for SARS-CoV-2 and viral pandemics preparedness: Technique, methods and practical notes for clinical application. PLoS One 2021; 16:e0251780. [PMID: 33989354 PMCID: PMC8121356 DOI: 10.1371/journal.pone.0251780] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 05/04/2021] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE Pandemic outbreaks necessitate effective responses to rapidly mitigate and control the spread of disease and eliminate the causative organism(s). While conventional chemical and biological solutions to these challenges are characteristically slow to develop and reach public availability; recent advances in device components operating at Super High Frequency (SHF) bands (3-30 GHz) of the electromagnetic spectrum enable novel approaches to such problems. METHODS Based on experimentally documented evidence, a clinically relevant in situ radiation procedure to reduce viral loads in patients is devised and presented. Adapted to the currently available medical device technology to cause viral membrane fracture, this procedure selectively inactivates virus particles by forced oscillations arising from Structure Resonant Energy Transfer (SRET) thereby reducing infectivity and disease progression. RESULTS Effective resonant frequencies for pleiomorphic Coronavirus SARS-CoV-2 is calculated to be in the 10-17 GHz range. Using the relation y = -3.308x + 42.9 with x and y representing log10 number of virus particles and the clinical throat swab Ct value respectively; in situ patient-specific exposure duration of ~15x minutes can be utilized to inactivate up to 100% of virus particles in the throat-lung lining, using an irradiation dose of 14.5 ± 1 W/m2; which is within the 200 W/m2 safety standard stipulated by the International Commission on Non-Ionizing Radiation Protection (ICNIRP). CONCLUSIONS The treatment is designed to make patients less contagious enhancing faster recoveries and enabling timely control of a spreading pandemic. ADVANCES IN KNOWLEDGE The article provides practically applicable parameters for effective clinical adaptation of this technique to the current pandemic at different levels of healthcare infrastructure and disease prevention besides enabling rapid future viral pandemics response.
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Affiliation(s)
- Ayan Barbora
- Department of Physics, Faculty of Natural Sciences, Ariel University, Ariel, Israel
- * E-mail: (AB); (RM)
| | - Refael Minnes
- Department of Physics, Faculty of Natural Sciences, Ariel University, Ariel, Israel
- * E-mail: (AB); (RM)
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Vos LM, Teirlinck AC, Lozano JE, Vega T, Donker GA, Hoepelman AI, Bont LJ, Oosterheert JJ, Meijer A. Use of the moving epidemic method (MEM) to assess national surveillance data for respiratory syncytial virus (RSV) in the Netherlands, 2005 to 2017. ACTA ACUST UNITED AC 2020; 24. [PMID: 31115311 PMCID: PMC6530251 DOI: 10.2807/1560-7917.es.2019.24.20.1800469] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Background To control respiratory syncytial virus (RSV), which causes acute respiratory infections, data and methods to assess its epidemiology are important. Aim We sought to describe RSV seasonality, affected age groups and RSV-type distribution over 12 consecutive seasons in the Netherlands, as well as to validate the moving epidemic method (MEM) for monitoring RSV epidemics. Methods We used 2005−17 laboratory surveillance data and sentinel data. For RSV seasonality evaluation, epidemic thresholds (i) at 1.2% of the cumulative number of RSV-positive patients per season and (ii) at 20 detections per week (for laboratory data) were employed. We also assessed MEM thresholds. Results In laboratory data RSV was reported 25,491 times (no denominator). In sentinel data 5.6% (767/13,577) of specimens tested RSV positive. Over 12 seasons, sentinel data showed percentage increases of RSV positive samples. The average epidemic length was 18.0 weeks (95% confidence intervals (CI): 16.3–19.7) and 16.5 weeks (95% CI: 14.0–18.0) for laboratory and sentinel data, respectively. Epidemics started on average in week 46 (95% CI: 45–48) and 47 (95% CI: 46–49), respectively. The peak was on average in the first week of January in both datasets. MEM showed similar results to the other methods. RSV incidence was highest in youngest (0–1 and >1–2 years) and oldest (>65–75 and > 75 years) age groups, with age distribution remaining stable over time. RSV-type dominance alternated every one or two seasons. Conclusions Our findings provide baseline information for immunisation advisory groups. The possibility of employing MEM to monitor RSV epidemics allows prospective, nearly real-time use of surveillance data.
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Affiliation(s)
- Laura M Vos
- University Medical Centre Utrecht, Utrecht University, Department of Internal Medicine and Infectious Diseases, Utrecht, the Netherlands
| | - Anne C Teirlinck
- Centre for infectious Disease Control Bilthoven, Centre for Infectious Diseases, Epidemiology and Surveillance, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - José E Lozano
- Dirección General de Salud Pública, Consejería de Sanidad, Valladolid, Spain
| | - Tomás Vega
- Dirección General de Salud Pública, Consejería de Sanidad, Valladolid, Spain
| | - Gé A Donker
- NIVEL Primary Care Database - Sentinel Practices, Utrecht, the Netherlands
| | - Andy Im Hoepelman
- University Medical Centre Utrecht, Utrecht University, Department of Internal Medicine and Infectious Diseases, Utrecht, the Netherlands
| | - Louis J Bont
- Wilhelmina Children's Hospital, Utrecht University, Department of Paediatric Infectious Diseases, Utrecht, the Netherlands
| | - Jan Jelrik Oosterheert
- University Medical Centre Utrecht, Utrecht University, Department of Internal Medicine and Infectious Diseases, Utrecht, the Netherlands
| | - Adam Meijer
- Centre for infectious Disease Control Bilthoven, Centre for Infectious Diseases Research, Diagnostics and laboratory Surveillance, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
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Kinyanjui T, Pan-Ngum W, Saralamba S, Taylor S, White L, Nokes DJ. Model evaluation of target product profiles of an infant vaccine against respiratory syncytial virus (RSV) in a developed country setting. Vaccine X 2020; 4:100055. [PMID: 32123865 PMCID: PMC7037978 DOI: 10.1016/j.jvacx.2020.100055] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 01/10/2020] [Accepted: 01/29/2020] [Indexed: 01/04/2023] Open
Abstract
Respiratory syncytial virus (RSV) is a major cause of lower respiratory tract disease in children worldwide and is a significant cause of hospital admissions in young children in England. No RSV vaccine has been licensed but a number are under development. In this work, we present two structurally distinct mathematical models, parameterized using RSV data from the UK, which have been used to explore the effect of introducing an RSV paediatric vaccine to the National programme. We have explored different vaccine properties, and dosing regimens combined with a range of implementation strategies for RSV control. The results suggest that vaccine properties that confer indirect protection have the greatest effect in reducing the burden of disease in children under 5 years. The findings are reinforced by the concurrence of predictions from the two models with very different epidemiological structure. The approach described has general application in evaluating vaccine target product profiles.
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Affiliation(s)
- Timothy Kinyanjui
- Department of Mathematics, University of Manchester, Oxford Road, Manchester, UK
- KEMRI-Wellcome Trust Research Programme, KEMRI Centre for Geographic Medicine Research – Coast, Kilifi, Kenya
- Peak AI, Neo, Charlotte Street, Manchester, UK
| | - Wirichada Pan-Ngum
- Mathematical and Economics Modelling (MAEMOD) Research Group, Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Sompob Saralamba
- Mathematical and Economics Modelling (MAEMOD) Research Group, Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | | | - Lisa White
- Mathematical and Economics Modelling (MAEMOD) Research Group, Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - D. James Nokes
- KEMRI-Wellcome Trust Research Programme, KEMRI Centre for Geographic Medicine Research – Coast, Kilifi, Kenya
- School of Life Sciences and Zeeman Institute for Systems Biology an Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
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Munywoki PK, Koech DC, Agoti CN, Cane PA, Medley GF, Nokes DJ. Continuous Invasion by Respiratory Viruses Observed in Rural Households During a Respiratory Syncytial Virus Seasonal Outbreak in Coastal Kenya. Clin Infect Dis 2019; 67:1559-1567. [PMID: 29668861 PMCID: PMC6206121 DOI: 10.1093/cid/ciy313] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Accepted: 04/13/2018] [Indexed: 02/05/2023] Open
Abstract
Background Households are high-intensity close-contact environments favorable for transmission of respiratory viruses, yet little is known for low-income settings. Methods Active surveillance was completed on 47 households in rural coastal Kenya over 6 months during a respiratory syncytial virus (RSV) season. Nasopharyngeal swabs (NPSs) were taken from 483 household members twice weekly irrespective of symptoms. Using molecular diagnostics, NPSs from 6 households were screened for 15 respiratory viruses and the remainder of households only for the most frequent viruses observed: rhinovirus (RV), human coronavirus (HCoV; comprising strains 229E, OC43, and NL63), adenovirus (AdV), and RSV (A and B). Results Of 16928 NPSs tested for the common viruses, 4259 (25.2%) were positive for ≥1 target; 596 (13.8%) had coinfections. Detection frequencies were 10.5% RV (1780), 7.5% HCoV (1274), 7.3% AdV (1232), and 3.2% RSV (537). On average, each household and individual had 6 and 3 different viruses detected over the study period, respectively. Rhinovirus and HCoV were detected in all the 47 households while AdV and RSV were detected in 45 (95.7%) and 40 (85.1%) households, respectively. The individual risk of infection over the 6-month period was 93.4%, 80.1%, 71.6%, 61.5%, and 37.1% for any virus, RV, HCoV, AdV, and RSV, respectively. NPSs collected during symptomatic days and from younger age groups had higher prevalence of virus detection relative to respective counterparts. RSV was underrepresented in households relative to hospital admission data. Conclusions In this household setting, respiratory virus infections and associated illness are ubiquitous. Future studies should address the health and economic implications of these observations.
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Affiliation(s)
- Patrick K Munywoki
- Epidemiology and Demography Department, Kenya Medical Research Institute-Wellcome Trust Research Programme, Centre for Geographic Medicine Research-Coast.,Department of Nursing and Public Health, Pwani University, Kilifi, Kenya
| | - Dorothy C Koech
- Epidemiology and Demography Department, Kenya Medical Research Institute-Wellcome Trust Research Programme, Centre for Geographic Medicine Research-Coast
| | - Charles N Agoti
- Epidemiology and Demography Department, Kenya Medical Research Institute-Wellcome Trust Research Programme, Centre for Geographic Medicine Research-Coast.,Department of Nursing and Public Health, Pwani University, Kilifi, Kenya
| | - Patricia A Cane
- High Containment Microbiology, Public Health England, Salisbury
| | - Graham F Medley
- Department of Global Health and Development, London School of Hygiene and Tropical Medicine, University of London
| | - D James Nokes
- Epidemiology and Demography Department, Kenya Medical Research Institute-Wellcome Trust Research Programme, Centre for Geographic Medicine Research-Coast.,School of Life Sciences and Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom
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9
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Scott EM, Magaret A, Kuypers J, Tielsch JM, Katz J, Khatry SK, Stewart L, Shrestha L, LeClerq SC, Englund JA, Chu HY. Risk factors and patterns of household clusters of respiratory viruses in rural Nepal. Epidemiol Infect 2019; 147:e288. [PMID: 31607271 PMCID: PMC6805793 DOI: 10.1017/s0950268819001754] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 09/12/2019] [Accepted: 09/18/2019] [Indexed: 11/18/2022] Open
Abstract
Viral pneumonia is an important cause of death and morbidity among infants worldwide. Transmission of non-influenza respiratory viruses in households can inform preventative interventions and has not been well-characterised in South Asia. From April 2011 to April 2012, household members of pregnant women enrolled in a randomised trial of influenza vaccine in rural Nepal were surveyed weekly for respiratory illness until 180 days after birth. Nasal swabs were tested by polymerase chain reaction for respiratory viruses in symptomatic individuals. A transmission event was defined as a secondary case of the same virus within 14 days of initial infection within a household. From 555 households, 825 initial viral illness episodes occurred, resulting in 79 transmission events. The overall incidence of transmission was 1.14 events per 100 person-weeks. Risk of transmission incidence was associated with an index case age 1-4 years (incidence rate ratio (IRR) 2.35; 95% confidence interval (CI) 1.40-3.96), coinfection as initial infection (IRR 1.94; 95% CI 1.05-3.61) and no electricity in household (IRR 2.70; 95% CI 1.41-5.00). Preventive interventions targeting preschool-age children in households in resource-limited settings may decrease the risk of transmission to vulnerable household members, such as young infants.
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Affiliation(s)
- E. M. Scott
- School of Medicine, University of Washington, Seattle, WA, USA
| | - A. Magaret
- School of Medicine, University of Washington, Seattle, WA, USA
| | - J. Kuypers
- School of Medicine, University of Washington, Seattle, WA, USA
| | - J. M. Tielsch
- Department of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA
| | - J. Katz
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - S. K. Khatry
- Nepal Nutrition Intervention Project – Sarlahi, Kathmandu, Nepal
| | - L. Stewart
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - L. Shrestha
- Department of Paediatrics and Child Health, Institute of Medicine, Tribhuvan University, Kathmandu, Nepal
| | - S. C. LeClerq
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Nepal Nutrition Intervention Project – Sarlahi, Kathmandu, Nepal
| | - J. A. Englund
- Seattle Children's Hospital and Research Institute, University of Washington, Seattle, WA, USA
| | - H. Y. Chu
- School of Medicine, University of Washington, Seattle, WA, USA
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10
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Kombe IK, Munywoki PK, Baguelin M, Nokes DJ, Medley GF. Model-based estimates of transmission of respiratory syncytial virus within households. Epidemics 2019; 27:1-11. [PMID: 30591267 PMCID: PMC6543068 DOI: 10.1016/j.epidem.2018.12.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Revised: 12/14/2018] [Accepted: 12/14/2018] [Indexed: 12/16/2022] Open
Abstract
INTRODUCTION Respiratory syncytial virus (RSV) causes a significant respiratory disease burden in the under 5 population. The transmission pathway to young children is not fully quantified in low-income settings, and this information is required to design interventions. METHODS We used an individual level transmission model to infer transmission parameters using data collected from 493 individuals distributed across 47 households over a period of 6 months spanning the 2009/2010 RSV season. A total of 208 episodes of RSV were observed from 179 individuals. We model competing transmission risk from within household exposure and community exposure while making a distinction between RSV groups A and B. RESULTS We find that 32-53% of all RSV transmissions are between members of the same household; the rate of pair-wise transmission is 58% (95% CrI: 30-74%) lower in larger households (≥8 occupants) than smaller households; symptomatic individuals are 2-7 times more infectious than asymptomatic individuals i.e. 2.48 (95% CrI: 1.22-5.57) among symptomatic individuals with low viral load and 6.7(95% CrI: 2.56-16) among symptomatic individuals with high viral load; previous infection reduces susceptibility to re-infection within the same epidemic by 47% (95% CrI: 17%-68%) for homologous RSV group and 39% (95%CrI: -8%-69%) for heterologous group; RSV B is more frequently introduced into the household, and RSV A is more rapidly transmitted once in the household. DISCUSSION Our analysis presents the first transmission modelling of cohort data for RSV and we find that it is important to consider the household social structuring and household size when modelling transmission. The increased infectiousness of symptomatic individuals implies that a vaccine against RSV related disease would also have an impact on infection transmission. Together, the weak cross immunity between RSV groups and the possibility of different transmission niches could form part of the explanation for the group co-existence.
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Affiliation(s)
- Ivy K Kombe
- KEMRI-Wellcome Trust Research Programme, KEMRI Center for Geographical Medical Research-Coast, P.O. Box 230-80108, Kilifi, Kenya; Centre for Mathematical Modelling of Infectious Disease and Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, WC1H 9SH, UK.
| | - Patrick K Munywoki
- KEMRI-Wellcome Trust Research Programme, KEMRI Center for Geographical Medical Research-Coast, P.O. Box 230-80108, Kilifi, Kenya
| | - Marc Baguelin
- Centre for Mathematical Modelling of Infectious Disease and Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, WC1H 9SH, UK
| | - D James Nokes
- KEMRI-Wellcome Trust Research Programme, KEMRI Center for Geographical Medical Research-Coast, P.O. Box 230-80108, Kilifi, Kenya; School of Life Sciences and Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, University of Warwick, Coventry, CV4 7AL, UK
| | - Graham F Medley
- Centre for Mathematical Modelling of Infectious Disease and Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, WC1H 9SH, UK
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Wathuo M, Medley GF, Nokes DJ, Munywoki PK. Quantification and determinants of the amount of respiratory syncytial virus (RSV) shed using real time PCR data from a longitudinal household study. Wellcome Open Res 2016; 1:27. [PMID: 28066826 PMCID: PMC5218551 DOI: 10.12688/wellcomeopenres.10284.2] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Background A better understanding of respiratory syncytial virus (RSV) epidemiology requires realistic estimates of RSV shedding patterns, quantities shed, and identification of the related underlying factors. Methods RSV infection data arise from a cohort study of 47 households with 493 occupants, in coastal Kenya, during the 2009/2010 RSV season. Nasopharyngeal swabs were taken every 3 to 4 days and screened for RSV using a real time polymerase chain reaction (PCR) assay. The amount of virus shed was quantified by calculating the 'area under the curve' using the trapezoidal rule applied to rescaled PCR cycle threshold output. Multivariable linear regression was used to identify correlates of amount of virus shed. Results The median quantity of virus shed per infection episode was 29.4 (95% CI: 15.2, 54.2) log10 ribonucleic acid (RNA) copies. Young age (<1 year), presence of upper respiratory symptoms, intra-household acquisition of infection, an individual's first infection episode in the RSV season, and having a co-infection of RSV group A and B were associated with increased amount of virus shed. Conclusions The findings provide insight into which groups of individuals have higher potential for transmission, information which may be useful in designing RSV prevention strategies.
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Affiliation(s)
- Miriam Wathuo
- KEMRI - Wellcome Trust Research Programme, Centre for Geographic Medicine Research - Coast, Kilifi, Kenya
| | - Graham F Medley
- Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UK
| | - D James Nokes
- KEMRI - Wellcome Trust Research Programme, Centre for Geographic Medicine Research - Coast, Kilifi, Kenya.,School of Life Sciences and SBIDER, University of Warwick, Coventry, UK
| | - Patrick K Munywoki
- KEMRI - Wellcome Trust Research Programme, Centre for Geographic Medicine Research - Coast, Kilifi, Kenya.,Department of Nursing Sciences, Pwani University, Kilifi, Kenya
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