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Li Y, McIntyre KM, Rasmussen P, Gilbert W, Chaters G, Raymond K, Jemberu WT, Larkins A, Patterson GT, Kwok S, Kappes AJ, Mayberry D, Schrobback P, Acosta MH, Stacey DA, Huntington B, Bruce M, Knight-Jones T, Rushton J. Rationalising development of classification systems describing livestock production systems for disease burden analysis within the Global Burden of Animal Diseases programme. Res Vet Sci 2024; 168:105102. [PMID: 38215653 DOI: 10.1016/j.rvsc.2023.105102] [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: 09/05/2023] [Revised: 11/05/2023] [Accepted: 11/27/2023] [Indexed: 01/14/2024]
Abstract
The heterogeneity that exists across the global spectrum of livestock production means that livestock productivity, efficiency, health expenditure and health outcomes vary across production systems. To ensure that burden of disease estimates are specific to the represented livestock population and people reliant upon them, livestock populations need to be systematically classified into different types of production system, reflective of the heterogeneity across production systems. This paper explores the data currently available of livestock production system classifications and animal health through a scoping review as a foundation for the development of a framework that facilitates more specific estimates of livestock disease burdens. A top-down framework to classification is outlined based on a systematic review of existing classification methods and provides a basis for simple grouping of livestock at global scale. The proposed top-down classification framework, which is dominated by commodity focus of production along with intensity of resource use, may have less relevance at the sub-national level in some jurisdictions and will need to be informed and adapted with information on how countries themselves categorize livestock and their production systems. The findings in this study provide a foundation for analysing animal health burdens across a broad level of production systems. The developed framework will fill a major gap in how livestock production and health are currently approached and analysed.
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Affiliation(s)
- Yin Li
- Global Burden of Animal Diseases (GBADs) Programme; Commonwealth Scientific and Industrial Research Organization, Agriculture and Food, 4067 Brisbane, Australia; School of Veterinary Medicine and Centre for Biosecurity and One Health, Harry Butler Institute, Murdoch University, Australia.
| | - K Marie McIntyre
- Global Burden of Animal Diseases (GBADs) Programme; School of Natural and Environmental Sciences, Newcastle University, UK; Institute of Infection and Global Health, University of Liverpool, IC2 Building, 146 Brownlow Hill, Liverpool L3 5RF, UK
| | - Philip Rasmussen
- Department of Veterinary and Animal Sciences, Section for Animal Welfare and Disease Control, University of Copenhagen, Copenhagen, Denmark; Section for Epidemiology, University of Zurich, Zurich, Switzerland
| | - William Gilbert
- Global Burden of Animal Diseases (GBADs) Programme; Institute of Infection and Global Health, University of Liverpool, IC2 Building, 146 Brownlow Hill, Liverpool L3 5RF, UK
| | - Gemma Chaters
- Global Burden of Animal Diseases (GBADs) Programme; Institute of Infection and Global Health, University of Liverpool, IC2 Building, 146 Brownlow Hill, Liverpool L3 5RF, UK
| | - Kassy Raymond
- Global Burden of Animal Diseases (GBADs) Programme; School of Computer Science, University of Guelph, Canada
| | - Wudu T Jemberu
- Global Burden of Animal Diseases (GBADs) Programme; International Livestock Research Institute, P O Box 5689, Addis Ababa, Ethiopia; University of Gondar, P. O. Box 196, Gondar, Ethiopia
| | - Andrew Larkins
- Global Burden of Animal Diseases (GBADs) Programme; School of Veterinary Medicine and Centre for Biosecurity and One Health, Harry Butler Institute, Murdoch University, Australia
| | - Grace T Patterson
- Global Burden of Animal Diseases (GBADs) Programme; School of Computer Science, University of Guelph, Canada
| | - Stephen Kwok
- Global Burden of Animal Diseases (GBADs) Programme; School of Veterinary Medicine and Centre for Biosecurity and One Health, Harry Butler Institute, Murdoch University, Australia
| | - Alexander James Kappes
- Global Burden of Animal Diseases (GBADs) Programme; School of Economic Sciences & Paul G. Allen School for Global Health, Washington State University, USA
| | - Dianne Mayberry
- Global Burden of Animal Diseases (GBADs) Programme; Commonwealth Scientific and Industrial Research Organization, Agriculture and Food, 4067 Brisbane, Australia
| | - Peggy Schrobback
- Global Burden of Animal Diseases (GBADs) Programme; Commonwealth Scientific and Industrial Research Organization, Agriculture and Food, 4067 Brisbane, Australia
| | - Mario Herrero Acosta
- College of Agriculture and Life Sciences, Cornell University, 250C Warren Hall, Ithaca, NY 14853, USA
| | - Deborah A Stacey
- Global Burden of Animal Diseases (GBADs) Programme; School of Computer Science, University of Guelph, Canada
| | - Benjamin Huntington
- Global Burden of Animal Diseases (GBADs) Programme; Institute of Infection and Global Health, University of Liverpool, IC2 Building, 146 Brownlow Hill, Liverpool L3 5RF, UK
| | - Mieghan Bruce
- Global Burden of Animal Diseases (GBADs) Programme; School of Veterinary Medicine and Centre for Biosecurity and One Health, Harry Butler Institute, Murdoch University, Australia
| | - Theodore Knight-Jones
- Global Burden of Animal Diseases (GBADs) Programme; International Livestock Research Institute, P O Box 5689, Addis Ababa, Ethiopia
| | - Jonathan Rushton
- Global Burden of Animal Diseases (GBADs) Programme; Institute of Infection and Global Health, University of Liverpool, IC2 Building, 146 Brownlow Hill, Liverpool L3 5RF, UK
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Augustyniak A, Pomorska-Mól M. An Update in Knowledge of Pigs as the Source of Zoonotic Pathogens. Animals (Basel) 2023; 13:3281. [PMID: 37894005 PMCID: PMC10603695 DOI: 10.3390/ani13203281] [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: 09/08/2023] [Revised: 10/18/2023] [Accepted: 10/19/2023] [Indexed: 10/29/2023] Open
Abstract
The available data indicate that the human world population will constantly grow in the subsequent decades. This constant increase in the number of people on the Earth will lead to growth in food demand, especially in food of high nutritional value. Therefore, it is expected that the world livestock population will also increase. Such a phenomenon enhances the risk of transmitting pathogens to humans. As pig production is one of the most significant branches of the world's livestock production, zoonoses of porcine origins seem to be of particular importance. Therefore, in this review, we aim to introduce the latest data concerning, among other things, epidemiology and available preventive measures to control the most significant porcine zoonoses of viral, bacterial, and parasitic origin.
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Affiliation(s)
| | - Małgorzata Pomorska-Mól
- Department of Preclinical Sciences and Infectious Diseases, Poznan University of Life Sciences, Wolynska 35, 60-637 Poznan, Poland
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Suwannarong K, Kanthawee P, Thammasutti K, Ponlap T, Klinnoi A, Lantican C, Amonsin A. A qualitative study on knowledge, attitude, and practice (KAP) toward swine influenza, information on pig farms and zoonosis reporting systems in Thailand. Prev Vet Med 2023; 219:106020. [PMID: 37696206 DOI: 10.1016/j.prevetmed.2023.106020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 08/17/2023] [Accepted: 08/29/2023] [Indexed: 09/13/2023]
Abstract
This qualitative study aimed to determine knowledge, attitudes, and practices (KAP) on swine influenza (SIV) among pig farm owners, pig farm workers, community leaders, public health personnel, and villagers who lived nearby pig farms in the northeastern (Nakhon Ratchasima), northern (Chiang Mai), and central (Nakhon Pathom) provinces of Thailand during May to December 2022. The qualitative information was collected from 91 respondents, including 33 individuals who participated in key informant interviews (KIIs) and 58 individuals who joined ten focus group discussions (FGDs) (5-7 persons per FGD). Our results showed that pig farmers, farm workers, and villagers lacked SIV-related knowledge and did not employ preventive measures. Some respondents had limited access to information about causes, clinical symptoms, treatment, and appropriate practices resulting in inadequate knowledge, attitudes, and practices regarding zoonotic diseases, especially SIV. Some pig farmers and farm workers reported seeking information about SIV infection from various sources; however, relevant authorities lacked dissemination of information regarding SIV to community members. The study suggested that healthcare personnel and relevant agencies should adopt a community-based approach to prevent swine influenza. This can be achieved by organizing health education and community communication interventions and involving those who have had contact with pigs or reside near pig farms. This will help increase community awareness and knowledge of swine influenza.
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Affiliation(s)
- Kanokwan Suwannarong
- Center of Excellence for Emerging and Re-emerging Infectious Diseases in Animals, Chulalongkorn University, Bangkok, Thailand
| | | | | | | | - Achara Klinnoi
- Nakhon Ratchasima Provincial Health Office, Muang, Nakhon Ratchasima, Thailand
| | | | - Alongkorn Amonsin
- Center of Excellence for Emerging and Re-emerging Infectious Diseases in Animals, Chulalongkorn University, Bangkok, Thailand.
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Graaf A, Hennig C, Jaschniski KL, Koechling M, Stadler J, Boehmer J, Ripp U, Pohlmann A, Schwarz BA, Beer M, Harder T. Emergenceof swine influenza A virus, porcine respirovirus 1 and swine orthopneumovirus in porcine respiratory disease in Germany. Emerg Microbes Infect 2023:2239938. [PMID: 37470510 PMCID: PMC10402848 DOI: 10.1080/22221751.2023.2239938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/21/2023]
Abstract
Respiratory disease is a significant economic issue in pig farming, with a complex aetiology that includes swine influenza A viruses (swIAV), which are common in European domestic pig populations. The most recent human influenza pandemic in 2009 showed swIAV's zoonotic potential. Monitoring pathogens and disease control are critical from a preventive standpoint, and are based on quick, sensitive, and specific diagnostic assays capable of detecting and distinguishing currently circulating swIAV in clinical samples. For passive surveillance, a set of multiplex quantitative reverse transcription real-time PCRs (mRT-qPCR) and MinION-directed sequencing was updated and deployed. Several lineages and genotypes of swIAV were shown to be dynamically developing, including novel reassortants between human pandemic H1N1 and the avian-derived H1 lineage of swIAV. Despite this, nearly 70% (842/1216) of individual samples from pigs with respiratory symptoms were swIAV-negative, hinting to different aetiologies. The complex and synergistic interactions of swIAV infections with other viral and bacterial infectious agents contribute to the aggravation of pig respiratory diseases. Using a newly developed mRT-qPCR for the combined detection of swIAV and the recently described porcine respirovirus 1 (PRV1) and swine orthopneumovirus (SOV) widespread co-circulation of PRV1 (19.6%, 238/1216 samples) and SOV (14.2%, 173/1216 samples) was evident. Because of the high incidence of PRV1 and SOV infections in pigs with respiratory disease, these viruses may emerge as new allies in the porcine respiratory disease syndrome.
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Affiliation(s)
- Annika Graaf
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany
| | - Christin Hennig
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany
| | | | | | - Julia Stadler
- Clinic for Swine at the Centre for Clinical Veterinary Medicine, Ludwig-Maximilians-University Munich, Oberschleissheim, Germany
| | - Jan Boehmer
- IVD Society for Innovative Veterinary Diagnostics mbH, Seelze-Letter, Germany
| | - Ulrike Ripp
- Vaxxinova diagnostics GmbH, Leipzig, Germany
| | - Anne Pohlmann
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany
| | | | - Martin Beer
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany
| | - Timm Harder
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany
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Risk Analysis of Viral Diseases in Infected Pig Farms during the Lockdown Period in China, January to May 2020. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19063215. [PMID: 35328903 PMCID: PMC8953524 DOI: 10.3390/ijerph19063215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 03/07/2022] [Accepted: 03/07/2022] [Indexed: 02/01/2023]
Abstract
Biosecurity plays a critical role in preventing and controlling the introduction and spread of infectious diseases. The COVID-19 pandemic in China triggered a nationwide lockdown policy which reduced most of the daily activities of people, but the pig industry was encouraged to ensure the pork supply. An investigation of biosecurity practices in intensive pig farms across several provinces in China was conducted in June 2020 via questionnaire to evaluate the factors that may pose viral diseases risk to the farms during the lockdown period from January to May 2020. A total of 50 farms in 12 provinces of China were engaged. Fourteen of them were classified as positive farms since at least one viral disease was presented during this period, including porcine reproductive and respiratory syndrome (seven farms), porcine epidemic diarrhea (three farms), and pseudorabies (one farm). The other three farms only reported their disease positive status but refused to release disease names. The overall farm level prevalence of viral disease was 28.0% (95%CI: 16.3-42.5%). A logistic regression model was built to identify risk/protective factors for farm positivity. In the multivariable logistic regression model, the risk factor of dead pig 'removal by the others' (OR = 8.0, 95%CI: 1.5, 43.5) was found to be significantly associated with viral disease positivity. On-farm incineration pits are highly recommended to be the administered for the harmless treatment of dead pigs. This is not only crucial for controlling the transmission of viral diseases but also plays a key role in reducing activity in the illegal dead meat business. According to previous studies, factors such as adapting an all-in-all-out system, on-farm incineration pits, and requiring workers to wash their hands regularly would reduce the risk of virus transmission, even though these factors did not show significance in our study. The results of our study could help to design better surveillance strategies in China and other countries.
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Kong F, Wang Q, Kenney SP, Jung K, Vlasova AN, Saif LJ. Porcine Deltacoronaviruses: Origin, Evolution, Cross-Species Transmission and Zoonotic Potential. Pathogens 2022; 11:79. [PMID: 35056027 PMCID: PMC8778258 DOI: 10.3390/pathogens11010079] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 12/30/2021] [Accepted: 01/04/2022] [Indexed: 01/27/2023] Open
Abstract
Porcine deltacoronavirus (PDCoV) is an emerging enteropathogenic coronavirus of swine that causes acute diarrhoea, vomiting, dehydration and mortality in seronegative neonatal piglets. PDCoV was first reported in Hong Kong in 2012 and its etiological features were first characterized in the United States in 2014. Currently, PDCoV is a concern due to its broad host range, including humans. Chickens, turkey poults, and gnotobiotic calves can be experimentally infected by PDCoV. Therefore, as discussed in this review, a comprehensive understanding of the origin, evolution, cross-species transmission and zoonotic potential of epidemic PDCoV strains is urgently needed.
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Affiliation(s)
- Fanzhi Kong
- College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, No. 5 Xinfeng Road, Sartu District, Daqing 163319, China;
| | - Qiuhong Wang
- Center for Food Animal Health, Department of Animal Sciences, College of Food, Agricultural and Environmental Sciences, The Ohio State University, Wooster, OH 44691, USA; (S.P.K.); (K.J.); (A.N.V.); (L.J.S.)
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, OH 43210, USA
| | - Scott P. Kenney
- Center for Food Animal Health, Department of Animal Sciences, College of Food, Agricultural and Environmental Sciences, The Ohio State University, Wooster, OH 44691, USA; (S.P.K.); (K.J.); (A.N.V.); (L.J.S.)
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, OH 43210, USA
| | - Kwonil Jung
- Center for Food Animal Health, Department of Animal Sciences, College of Food, Agricultural and Environmental Sciences, The Ohio State University, Wooster, OH 44691, USA; (S.P.K.); (K.J.); (A.N.V.); (L.J.S.)
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, OH 43210, USA
| | - Anastasia N. Vlasova
- Center for Food Animal Health, Department of Animal Sciences, College of Food, Agricultural and Environmental Sciences, The Ohio State University, Wooster, OH 44691, USA; (S.P.K.); (K.J.); (A.N.V.); (L.J.S.)
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, OH 43210, USA
| | - Linda J. Saif
- Center for Food Animal Health, Department of Animal Sciences, College of Food, Agricultural and Environmental Sciences, The Ohio State University, Wooster, OH 44691, USA; (S.P.K.); (K.J.); (A.N.V.); (L.J.S.)
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, OH 43210, USA
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Abstract
Globally swine influenza is one of the most important diseases of the pig industry, with various subtypes of swine influenza virus co-circulating in the field. Swine influenza can not only cause large economic losses for the pig industry but can also lead to epidemics or pandemics in the human population. We provide an overview of the pathogenic characteristics of the disease, diagnosis, risk factors for the occurrence on pig farms, impact on pigs and humans and methods to control it. This review is designed to promote understanding of the epidemiology of swine influenza which will benefit the control of the disease in both pigs and humans.
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Affiliation(s)
- Yin Li
- School of Veterinary Medicine, Murdoch University, Perth, WA Australia.,Commonwealth Scientific and Industrial Research Organisation, St. Lucia, QLD Australia
| | - Ian Robertson
- School of Veterinary Medicine, Murdoch University, Perth, WA Australia.,College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070 China.,Hubei International Scientific and Technological Cooperation Base of Veterinary Epidemiology, Huazhong Agricultural University, Wuhan, 430070 China
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Daniels S, Wei H, Han Y, Catt H, Denning DW, Hall I, Regan M, Verma A, Whitfield CA, van Tongeren M. Risk factors associated with respiratory infectious disease-related presenteeism: a rapid review. BMC Public Health 2021; 21:1955. [PMID: 34711208 PMCID: PMC8552205 DOI: 10.1186/s12889-021-12008-9] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Accepted: 08/29/2021] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Workplace transmission is a significant contributor to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreaks. Previous studies have found that infectious illness presenteeism could contribute to outbreaks in occupational settings and identified multiple occupational and organisational risk factors. Amid the COVID-19 pandemic, it is imperative to investigate presenteeism particularly in relation to respiratory infectious disease (RID). Hence, this rapid review aims to determine the prevalence of RID-related presenteeism, including COVID-19, and examines the reported reasons and associated risk factors. METHODS The review followed a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) search approach and focused on studies published in English and Chinese. Database searches included MEDLINE, EMBASE, Web of Science, China Knowledge Resource Integrated Database (CNKI) and preprint databases MedRxiv and BioRxiv. RESULTS The search yielded 54 studies, of which four investigated COVID-19-related presenteeism. Prevalence of work presenteeism ranged from 14.1 to 55% for confirmed RID, and 6.6 to 100% for those working with suspected or subclinical RID. The included studies demonstrated that RID-related presenteeism is associated with occupation, sick pay policy, age, gender, health behaviour and perception, vaccination, peer pressure and organisational factors such as presenteeism culture. CONCLUSIONS This review demonstrates that presenteeism or non-adherence to isolation guidance is a real concern and can contribute to workplace transmissions and outbreaks. Policies which would support workers financially and improve productivity, should include a range of effective non-pharmaceutical inventions such as workplace testing, promoting occupational health services, reviewing pay and bonus schemes and clear messaging to encourage workers to stay at home when ill. Future research should focus on the more vulnerable and precarious occupational groups, and their inter-relationships, to develop comprehensive intervention programs to reduce RID-related presenteeism.
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Affiliation(s)
- Sarah Daniels
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Ellen Wilkinson Building, Oxford Road, Manchester, M13 9PL, England.
- Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, England.
| | - Hua Wei
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Ellen Wilkinson Building, Oxford Road, Manchester, M13 9PL, England
- Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, England
| | - Yang Han
- Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, England
- Department of Mathematics, The University of Manchester, Manchester, England
| | - Heather Catt
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Ellen Wilkinson Building, Oxford Road, Manchester, M13 9PL, England
- Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, England
| | - David W Denning
- Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, England
- Division of Evolution, Infection and Genomics, School of Biological Sciences, The University of Manchester, Manchester, England
| | - Ian Hall
- Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, England
- Department of Mathematics, The University of Manchester, Manchester, England
- Public Health, Advice, Guidance and Expertise, London, England
| | - Martyn Regan
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Ellen Wilkinson Building, Oxford Road, Manchester, M13 9PL, England
- Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, England
- United Kingdom Health Security Agency National COVID-19 Response Centre, London, England
| | - Arpana Verma
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Ellen Wilkinson Building, Oxford Road, Manchester, M13 9PL, England
- Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, England
| | - Carl A Whitfield
- Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, England
- Department of Mathematics, The University of Manchester, Manchester, England
| | - Martie van Tongeren
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Ellen Wilkinson Building, Oxford Road, Manchester, M13 9PL, England
- Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, England
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