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Alemayehu T, Oguttu B, Rupprecht CE, Niyas VKM. Rabies vaccinations save lives but where are the vaccines? Global vaccine inequity and escalating rabies-related mortality in low- and middle-income countries. Int J Infect Dis 2024; 140:49-51. [PMID: 38232796 DOI: 10.1016/j.ijid.2024.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2024] Open
Affiliation(s)
- Tinsae Alemayehu
- International Society for Infectious Diseases, Boston, Massachusetts, USA; Department of Pediatrics and Adolescent health, University of Botswana, Gaborone, Botswana; Department of Pediatrics and Adolescent health, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
| | - Benson Oguttu
- Kampala International University Teaching Hospital, Kampala, Uganda
| | - Charles E Rupprecht
- College of Forestry, Wildlife and Environment, College of Veterinary Medicine, Auburn University, Auburn, Alabama, USA
| | - Vettakkara Kandy Muhammed Niyas
- International Society for Infectious Diseases, Boston, Massachusetts, USA; Department of Infectious Diseases, KIMSHEALTH, Thiruvananthapuram, Kerala, India
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2
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Milićević V, Glišić D, Veljović L, Maletić J, Kureljušić B. Retrospective phylogenetic analysis of rabies virus G and N genes from Serbia. Zoonoses Public Health 2023; 70:699-704. [PMID: 37243392 DOI: 10.1111/zph.13061] [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: 11/01/2022] [Revised: 04/09/2023] [Accepted: 05/13/2023] [Indexed: 05/28/2023]
Abstract
Rabies is a viral disease of the central nervous system of all warm-blooded animals and one of the oldest and most important zoonoses. In the Republic of Serbia, rabies is controlled by compulsory vaccination of dogs and cats and oral vaccination of wild carnivores, which has been implemented since 2010. In the period 2009-2018, 367 rabies cases were recorded. The last rabies case in Serbia was recorded in 2018 in a red fox (Vulpes vulpes), while the last case in dogs was diagnosed in 2011. This study aimed to perform a retrospective phylogenetic analysis of G and N genes of the rabies virus from Serbia from 2009 to 2018 to understand sources and pathways of infection better and to enable molecular virus tracing in the future based on the association of rabies virus genetic lineages with the geographic distribution. For the phylogenetic analysis of the rabies virus, 14 historically positive brain samples of red foxes from 2009 to 2018, collected in central Serbia, were used. All field strains from Serbia were identified as classic rabies virus and grouped within the Cosmopolitan lineage. Phylogenetic analysis of N gene sequences revealed that 13 rabies virus strains (92.9%) from Serbia belonged to the EE sub-lineage of isolates, while one virus (7.1%) ON988027 from 2011 clustered together with isolates from the WE sub-lineage.
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Affiliation(s)
- Vesna Milićević
- Institute of Veterinary Medicine of Serbia, Belgrade, Republic of Serbia
| | - Dimitrije Glišić
- Institute of Veterinary Medicine of Serbia, Belgrade, Republic of Serbia
| | - Ljubiša Veljović
- Institute of Veterinary Medicine of Serbia, Belgrade, Republic of Serbia
| | - Jelena Maletić
- Institute of Veterinary Medicine of Serbia, Belgrade, Republic of Serbia
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3
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Holtz A, Baele G, Bourhy H, Zhukova A. Integrating full and partial genome sequences to decipher the global spread of canine rabies virus. Nat Commun 2023; 14:4247. [PMID: 37460566 DOI: 10.1038/s41467-023-39847-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 06/30/2023] [Indexed: 07/20/2023] Open
Abstract
Despite the rapid growth in viral genome sequencing, statistical methods face challenges in handling historical viral endemic diseases with large amounts of underutilized partial sequence data. We propose a phylogenetic pipeline that harnesses both full and partial viral genome sequences to investigate historical pathogen spread between countries. Its application to rabies virus (RABV) yields precise dating and confident estimates of its geographic dispersal. By using full genomes and partial sequences, we reduce both geographic and genetic biases that often hinder studies that focus on specific genes. Our pipeline reveals an emergence of the present canine-mediated RABV between years 1301 and 1403 and reveals regional introductions over a 700-year period. This geographic reconstruction enables us to locate episodes of human-mediated introductions of RABV and examine the role that European colonization played in its spread. Our approach enables phylogeographic analysis of large and genetically diverse data sets for many viral pathogens.
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Affiliation(s)
- Andrew Holtz
- Institut Pasteur, Université Paris Cité, Lyssavirus Epidemiology and Neuropathology Unit, F-75015, Paris, France.
| | - Guy Baele
- Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium
| | - Hervé Bourhy
- Institut Pasteur, Université Paris Cité, Lyssavirus Epidemiology and Neuropathology Unit, F-75015, Paris, France
- World Health Organization Collaborating Center for Reference and Research on Rabies, Institut Pasteur, Paris, France
| | - Anna Zhukova
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, F-75015, Paris, France.
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4
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Rupprecht CE, Mshelbwala PP, Reeves RG, Kuzmin IV. Rabies in a postpandemic world: resilient reservoirs, redoubtable riposte, recurrent roadblocks, and resolute recidivism. ANIMAL DISEASES 2023; 3:15. [PMID: 37252063 PMCID: PMC10195671 DOI: 10.1186/s44149-023-00078-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 04/02/2023] [Indexed: 05/31/2023] Open
Abstract
Rabies is an ancient disease. Two centuries since Pasteur, fundamental progress occurred in virology, vaccinology, and diagnostics-and an understanding of pathobiology and epizootiology of rabies in testament to One Health-before common terminological coinage. Prevention, control, selective elimination, and even the unthinkable-occasional treatment-of this zoonosis dawned by the twenty-first century. However, in contrast to smallpox and rinderpest, eradication is a wishful misnomer applied to rabies, particularly post-COVID-19 pandemic. Reasons are minion. Polyhostality encompasses bats and mesocarnivores, but other mammals represent a diverse spectrum of potential hosts. While rabies virus is the classical member of the genus, other species of lyssaviruses also cause the disease. Some reservoirs remain cryptic. Although global, this viral encephalitis is untreatable and often ignored. As with other neglected diseases, laboratory-based surveillance falls short of the notifiable ideal, especially in lower- and middle-income countries. Calculation of actual burden defaults to a flux within broad health economic models. Competing priorities, lack of defined, long-term international donors, and shrinking local champions challenge human prophylaxis and mass dog vaccination toward targets of 2030 for even canine rabies impacts. For prevention, all licensed vaccines are delivered to the individual, whether parenteral or oral-essentially 'one and done'. Exploiting mammalian social behaviors, future 'spreadable vaccines' might increase the proportion of immunized hosts per unit effort. However, the release of replication-competent, genetically modified organisms selectively engineered to spread intentionally throughout a population raises significant biological, ethical, and regulatory issues in need of broader, transdisciplinary discourse. How this rather curious idea will evolve toward actual unconventional prevention, control, or elimination in the near term remains debatable. In the interim, more precise terminology and realistic expectations serve as the norm for diverse, collective constituents to maintain progress in the field.
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Affiliation(s)
- Charles E. Rupprecht
- College of Forestry, Wildlife & Environment, College of Veterinary Medicine, Auburn University, Auburn, AL 36849 USA
| | - Philip P. Mshelbwala
- School of Veterinary Science, University of Queensland, Gatton, Australia
- Department of Veterinary Medicine, Faculty of Veterinary Medicine, University of Abuja, Abuja, Nigeria
| | - R. Guy Reeves
- Max Planck Institut Für Evolutionsbiologie, 24306 Plön, Germany
| | - Ivan V. Kuzmin
- Department of Pathology, University of Texas Medical Branch, Galveston, TX 77555 USA
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5
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Changalucha J, Hampson K, Jaswant G, Lankester F, Yoder J. Human rabies: prospects for elimination. CAB REVIEWS : PERSPECTIVES IN AGRICULTURE, VETERINARY SCIENCE, NUTRITION AND NATURAL RESOURCES 2021; 16:039. [PMID: 34765015 PMCID: PMC8580373 DOI: 10.1079/pavsnnr202116039] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Almost half of all countries in the world are effectively free of human deaths from dog-mediated rabies. But the disease still affects people in low- and middle-income countries, especially the rural poor, and children. Successful regional elimination of human rabies is attributable to advances in significant and sustained investment in dog vaccination, post-exposure vaccination and surveillance, illustrated by productive efforts to reduce human rabies in Latin America over the last 35 years. Nonetheless, countries still facing endemic rabies face significant barriers to elimination. Using the 2017 Global Strategic Plan to end human rabies deaths from dog-mediated rabies by 2030 as a reference point and an organizing framework, we assess progress toward global rabies elimination by examining the characteristics of successful regional control efforts and barriers to elimination. Although substantive barriers exist for countries where rabies remains endemic, advances in knowledge, technology, institutions, and economics provide a basis for optimism.
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Affiliation(s)
- Joel Changalucha
- Environmental Health and Ecological Science Department, Ifakara Health Institute, P.O. Box 78373, Dar es salaam, 14112, Tanzania
- Boyd Orr Centre for Population and ecosystem Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, G12, 8QQ, UK
- College of Veterinary Medicine and Biomedical Science, Sokoine University of Agriculture, P.O. Box 3021, Morogoro, 23, Tanzania
| | - Katie Hampson
- Boyd Orr Centre for Population and ecosystem Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, G12, 8QQ, UK
| | - Gurdeep Jaswant
- Boyd Orr Centre for Population and ecosystem Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, G12, 8QQ, UK
- University of Nairobi Institute of Tropical and Infectious Diseases (UNITID), P.O. Box 30197, Nairobi, 00202, Kenya
- Tanzania Industrial Research Development Organisation (TIRDO), P.O. Box 23235, Dar es salaam, Tanzania
| | - Felix Lankester
- Global Animal Health Tanzania, Ngorongoro Conservation Area Authority Building, P.O. Box 1642, Arusha, Tanzania
- Paul G. Allen School for Global Animal Health, Washington state University, P.O. Box 647090, Pullman, Washington, WA 99164 United States of America
| | - Jonathan Yoder
- Paul G. Allen School for Global Animal Health, Washington state University, P.O. Box 647090, Pullman, Washington, WA 99164 United States of America
- School of Economic Sciences, Washington State University, P.O. Box 646210, Pullman, Washington, WA 99164-6210, United States of America
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León B, González SF, Solís LM, Ramírez-Cardoce M, Moreira-Soto A, Cordero-Solórzano JM, Hutter SE, González-Barrientos R, Rupprecht CE. Rabies in Costa Rica - Next Steps Towards Controlling Bat-Borne Rabies After its Elimination in Dogs. THE YALE JOURNAL OF BIOLOGY AND MEDICINE 2021; 94:311-329. [PMID: 34211351 PMCID: PMC8223541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Rabies is an acute, progressive encephalitis caused by a lyssavirus, with the highest case fatality of any conventional infectious disease. More than 17 different lyssaviruses have been described, but rabies virus is the most widely distributed and important member of the genus. Globally, tens of thousands of human fatalities still occur each year. Although all mammals are susceptible, most human fatalities are caused by the bites of rabid dogs, within lesser developed countries. A global plan envisions the elimination of human rabies cases caused via dogs by the year 2030. The combination of prophylaxis of exposed humans and mass vaccination of dogs is an essential strategy for such success. Regionally, the Americas are well on the way to meet this goal. As one example of achievement, Costa Rica, a small country within Central America, reported the last autochthonous case of human rabies transmitted by a dog at the end of the 1970s. Today, rabies virus transmitted by the common vampire bat, Desmodus rotundus, as well as other wildlife, remains a major concern for humans, livestock, and other animals throughout the region. This review summarizes the historical occurrence of dog rabies and its elimination in Costa Rica, describes the current occurrence of the disease with a particular focus upon affected livestock, discusses the ecology of the vampire bat as the primary reservoir relevant to management, details the clinical characteristics of recent human rabies cases, and provides suggestions for resolution of global challenges posed by this zoonosis within a One Health context.
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Affiliation(s)
- Bernal León
- Biosecurity Laboratory, Servicio Nacional de Salud
Animal (SENASA), LANASEVE, Heredia, Costa Rica
- Universidad Técnica Nacional (UTN), Quesada, Costa
Rica
| | | | - Lisa Miranda Solís
- Specialist in Pediatric Pathology, Pathology Service,
Children National Hospital, Caja Costarricense de Seguro Social, San José, Costa
Rica
| | - Manuel Ramírez-Cardoce
- Specialist in Infectious Diseases, San Juan de Dios
Hospital, Caja Costarricense de Seguro Social, San José, Costa Rica
| | - Andres Moreira-Soto
- Research Center for Tropical Diseases (CIET), Virology,
Faculty of Microbiology, University of Costa Rica, San José, Costa Rica
- Charité-Universitätsmedizin Berlin, corporate member of
Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute
of Health, Institute of Virology, Berlin, Germany
| | | | - Sabine Elisabeth Hutter
- Coordinator of the National Risk Analysis Program,
Epidemiology Department, SENASA, Ministry of Agriculture, San José, Costa
Rica
- Institute of Food Safety, Food Technology and
Veterinary Public Health, Department for Farm Animals and Veterinary Public
Health University of Veterinary Medicine, Vienna, Austria
| | - Rocío González-Barrientos
- Pathology Area Biosecurity Laboratory, Servicio
Nacional de Salud Animal (SENASA), LANASEVE, Heredia, Costa Rica
- Department of Biomedical Sciences of Anatomic
Pathology, Cornell University, Ithaca, NY, USA
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7
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Clark J, Stolk WA, Basáñez MG, Coffeng LE, Cucunubá ZM, Dixon MA, Dyson L, Hampson K, Marks M, Medley GF, Pollington TM, Prada JM, Rock KS, Salje H, Toor J, Hollingsworth TD. How modelling can help steer the course set by the World Health Organization 2021-2030 roadmap on neglected tropical diseases. Gates Open Res 2021; 5:112. [PMID: 35169682 PMCID: PMC8816801 DOI: 10.12688/gatesopenres.13327.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/28/2022] [Indexed: 01/12/2023] Open
Abstract
The World Health Organization recently launched its 2021-2030 roadmap, Ending the Neglect to Attain the Sustainable Development Goals , an updated call to arms to end the suffering caused by neglected tropical diseases. Modelling and quantitative analyses played a significant role in forming these latest goals. In this collection, we discuss the insights, the resulting recommendations and identified challenges of public health modelling for 13 of the target diseases: Chagas disease, dengue, gambiense human African trypanosomiasis (gHAT), lymphatic filariasis (LF), onchocerciasis, rabies, scabies, schistosomiasis, soil-transmitted helminthiases (STH), Taenia solium taeniasis/ cysticercosis, trachoma, visceral leishmaniasis (VL) and yaws. This piece reflects the three cross-cutting themes identified across the collection, regarding the contribution that modelling can make to timelines, programme design, drug development and clinical trials.
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Affiliation(s)
- Jessica Clark
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF, UK
- Institute of Biodiversity, Animal Health & Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Wilma A. Stolk
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3000 CA, The Netherlands
| | - María-Gloria Basáñez
- London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
| | - Luc E. Coffeng
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3000 CA, The Netherlands
| | - Zulma M. Cucunubá
- London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
| | - Matthew A. Dixon
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
- Schistosomiasis Control Initiative Foundation, London, SE11 5DP, UK
| | - Louise Dyson
- Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK
- School of Life Sciences, University of Warwick, Coventry, CV4 7AL, UK
| | - Katie Hampson
- Institute of Biodiversity, Animal Health & Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Michael Marks
- Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
| | - Graham F. Medley
- Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK
| | - Timothy M. Pollington
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF, UK
- Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK
| | - Joaquin M. Prada
- School of Veterinary Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7AL, UK
| | - Kat S. Rock
- Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK
| | - Henrik Salje
- Department of Genetics, University of Cambridge, Cambridge, CB2 3EH, UK
| | - Jaspreet Toor
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
| | - T. Déirdre Hollingsworth
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF, UK
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8
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Clark J, Stolk WA, Basáñez MG, Coffeng LE, Cucunubá ZM, Dixon MA, Dyson L, Hampson K, Marks M, Medley GF, Pollington TM, Prada JM, Rock KS, Salje H, Toor J, Hollingsworth TD. How modelling can help steer the course set by the World Health Organization 2021-2030 roadmap on neglected tropical diseases. Gates Open Res 2021; 5:112. [PMID: 35169682 PMCID: PMC8816801 DOI: 10.12688/gatesopenres.13327.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/13/2021] [Indexed: 01/12/2023] Open
Abstract
The World Health Organization recently launched its 2021-2030 roadmap, Ending the Neglect to Attain the Sustainable Development Goals , an updated call to arms to end the suffering caused by neglected tropical diseases. Modelling and quantitative analyses played a significant role in forming these latest goals. In this collection, we discuss the insights, the resulting recommendations and identified challenges of public health modelling for 13 of the target diseases: Chagas disease, dengue, gambiense human African trypanosomiasis (gHAT), lymphatic filariasis (LF), onchocerciasis, rabies, scabies, schistosomiasis, soil-transmitted helminthiases (STH), Taenia solium taeniasis/ cysticercosis, trachoma, visceral leishmaniasis (VL) and yaws. This piece reflects the three cross-cutting themes identified across the collection, regarding the contribution that modelling can make to timelines, programme design, drug development and clinical trials.
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Affiliation(s)
- Jessica Clark
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF, UK
- Institute of Biodiversity, Animal Health & Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Wilma A. Stolk
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3000 CA, The Netherlands
| | - María-Gloria Basáñez
- London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
| | - Luc E. Coffeng
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3000 CA, The Netherlands
| | - Zulma M. Cucunubá
- London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
| | - Matthew A. Dixon
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
- Schistosomiasis Control Initiative Foundation, London, SE11 5DP, UK
| | - Louise Dyson
- Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK
- School of Life Sciences, University of Warwick, Coventry, CV4 7AL, UK
| | - Katie Hampson
- Institute of Biodiversity, Animal Health & Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Michael Marks
- Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
| | - Graham F. Medley
- Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK
| | - Timothy M. Pollington
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF, UK
- Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK
| | - Joaquin M. Prada
- School of Veterinary Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7AL, UK
| | - Kat S. Rock
- Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK
| | - Henrik Salje
- Department of Genetics, University of Cambridge, Cambridge, CB2 3EH, UK
| | - Jaspreet Toor
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
| | - T. Déirdre Hollingsworth
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF, UK
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