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Stark JH, McFadden B, Patel N, Kelly PH, Gould LH, Riis J. Intention to vaccinate for Lyme disease using the Health Belief Model. Zoonoses Public Health 2024; 71:349-358. [PMID: 38177978 DOI: 10.1111/zph.13107] [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: 09/11/2023] [Revised: 11/20/2023] [Accepted: 12/18/2023] [Indexed: 01/06/2024]
Abstract
AIMS Lyme disease (LD) cases in the United States are estimated to be approaching 500,000 annually. Protective measures, such as repellent use and wearing protective clothing are recommended by public health officials. However, no protective measure has been proven to be consistently effective, partly because they require consistent and persistent behaviour change. While safe and effective vaccines are in development, it is unclear what factors influence the intention to vaccinate against LD. This study uses the Health Belief Model (HBM) framework to determine key drivers associated with vaccine intention. The HBM is widely applied in public health research and uses the following constructs: perceived susceptibility and severity of disease, perceived benefits and barriers to disease prevention, and cues to action for disease prevention to predict health behaviours. To date, the HBM framework has not been applied to vaccination intention for LD. METHODS AND RESULTS Data were collected from 874 adults and 834 caregivers of children residing in US states endemic to LD. Sampling adults and caregivers allows us to explore how the intention to vaccinate differs among those at-risk. Estimates from structural equation modelling (SEM) show that the HBM constructs explain much of the variation in intention to vaccinate against LD. Both adult and caregiver intentions to vaccinate are positively influenced by cues to action, perceived susceptibility of LD, and perceived benefits to vaccination. However, there is variation in the influence of constructs across the samples. Caregiver's intention to vaccinate is positively influenced by the perceived severity of LD and negatively influenced by safety concerns about the vaccine, whereas adult intention is negatively influenced by perceived barriers to vaccination. CONCLUSION A strong relationship of cues to action on vaccine intention in samples of adults and caregivers suggests the importance of a recommendation from a healthcare provider or the Centers for Disease Control and Prevention (CDC).
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Affiliation(s)
- James H Stark
- Vaccines, Antivirals, and Evidence Generation, Pfizer Biopharma Group, Cambridge, Massachusetts, USA
| | - Brandon McFadden
- Behavioralize LLC, Wynnewood, Pennsylvania, USA
- The Department of Agricultural Economics and Agribusiness, University of Arkansas, Fayetteville, Arkansas, USA
| | | | - Patrick H Kelly
- Vaccines, Antivirals, and Evidence Generation, Pfizer Biopharma Group, Collegeville, Pennsylvania, USA
| | - L Hannah Gould
- Vaccines, Antivirals, and Evidence Generation, Pfizer Biopharma Group, New York, New York, USA
| | - Jason Riis
- Behavioralize LLC, Wynnewood, Pennsylvania, USA
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Liao JR, Liao YH, Liao KM, Wu HH, Tu WC, Lin YH. Nationwide survey of ticks on domesticated animals in Taiwan: Revealing the hidden threat to animal and public health. MEDICAL AND VETERINARY ENTOMOLOGY 2024; 38:99-107. [PMID: 37715613 DOI: 10.1111/mve.12692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 08/16/2023] [Indexed: 09/17/2023]
Abstract
Ticks are not only bloodsucking ectoparasites but also important vectors of tick-borne diseases (TBDs), posing significant threats to public and animal health. Domesticated animals serve as critical hosts for numerous ticks, highlighting the importance of understanding tick infestations in Taiwan. To address this knowledge gap, we conducted a nationwide survey to identify ticks on domesticated animals and associated environments in 2018 and 2019. A total of 6,205 ticks were collected from 1,337 host animals, revealing the presence of seven tick species, with Rhipicephalus microplus, and Rhipicephalus sanguineus being the dominant species. High infestation rates and widespread distribution of ticks were observed on domesticated animals, especially on dogs and cattle (yellow cattle and angus cattle), and the neighbouring grassland of yellow cattle. While this study has certain limitations, it provides valuable insights into the distribution and prevalence of ticks on domesticated animals in Taiwan and their implications for controlling TBDs. Further research is needed to comprehensively understand the complex interactions among ticks, hosts and pathogens.
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Affiliation(s)
- Jhih-Rong Liao
- Systematic Zoology Laboratory, Department of Biological Sciences, Tokyo Metropolitan University, Tokyo, Japan
| | - Yi-Hao Liao
- Department of Medical Laboratory Science and Biotechnology, Yuanpei University of Medical Technology, Hsinchu City, Taiwan
| | - Kuei-Min Liao
- National Mosquito-Borne Diseases Control Research Center, National Health Research Institutes, Tainan, Taiwan
| | - Huai-Hui Wu
- Department of Biotechnology, Tajen University, Yanpu Township, Taiwan
| | - Wu-Chun Tu
- National Mosquito-Borne Diseases Control Research Center, National Health Research Institutes, Tainan, Taiwan
- Department of Entomology, National Chung Hsing University, Taichung City, Taiwan
- School of Life Sciences and Technology, Bandung Institute of Technology, Bandung, Indonesia
| | - Ying-Hsi Lin
- Department of Medical Laboratory Science and Biotechnology, Yuanpei University of Medical Technology, Hsinchu City, Taiwan
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Rocklöv J, Semenza JC, Dasgupta S, Robinson EJ, Abd El Wahed A, Alcayna T, Arnés-Sanz C, Bailey M, Bärnighausen T, Bartumeus F, Borrell C, Bouwer LM, Bretonnière PA, Bunker A, Chavardes C, van Daalen KR, Encarnação J, González-Reviriego N, Guo J, Johnson K, Koopmans MP, Máñez Costa M, Michaelakis A, Montalvo T, Omazic A, Palmer JR, Preet R, Romanello M, Shafiul Alam M, Sikkema RS, Terrado M, Treskova M, Urquiza D, Lowe R. Decision-support tools to build climate resilience against emerging infectious diseases in Europe and beyond. THE LANCET REGIONAL HEALTH. EUROPE 2023; 32:100701. [PMID: 37583927 PMCID: PMC10424206 DOI: 10.1016/j.lanepe.2023.100701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 07/11/2023] [Accepted: 07/12/2023] [Indexed: 08/17/2023]
Abstract
Climate change is one of several drivers of recurrent outbreaks and geographical range expansion of infectious diseases in Europe. We propose a framework for the co-production of policy-relevant indicators and decision-support tools that track past, present, and future climate-induced disease risks across hazard, exposure, and vulnerability domains at the animal, human, and environmental interface. This entails the co-development of early warning and response systems and tools to assess the costs and benefits of climate change adaptation and mitigation measures across sectors, to increase health system resilience at regional and local levels and reveal novel policy entry points and opportunities. Our approach involves multi-level engagement, innovative methodologies, and novel data streams. We take advantage of intelligence generated locally and empirically to quantify effects in areas experiencing rapid urban transformation and heterogeneous climate-induced disease threats. Our goal is to reduce the knowledge-to-action gap by developing an integrated One Health-Climate Risk framework.
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Affiliation(s)
- Joacim Rocklöv
- Heidelberg Institute of Global Health (HIGH) & Interdisciplinary Centre for Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Jan C. Semenza
- Heidelberg Institute of Global Health (HIGH) & Interdisciplinary Centre for Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Shouro Dasgupta
- Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Venice, Italy
- Graham Research Institute on Climate Change and the Environment, London School of Economics and Political Science (LSE), London, United Kingdom
| | - Elizabeth J.Z. Robinson
- Graham Research Institute on Climate Change and the Environment, London School of Economics and Political Science (LSE), London, United Kingdom
| | - Ahmed Abd El Wahed
- Faculty of Veterinary Medicine, Institute of Animal Hygiene and Veterinary Public Health, Leipzig University, Leipzig, Germany
| | - Tilly Alcayna
- Red Cross Red Crescent Centre on Climate Change and Disaster Preparedness, The Hague, the Netherlands
- Centre on Climate Change & Planetary Health, London School of Hygiene & Tropical Medicine (LSHTM), London, United Kingdom
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine (LSHTM), London, United Kingdom
- Health in Humanitarian Crises Centre, London School of Hygiene & Tropical Medicine (LSHTM), London, United Kingdom
| | - Cristina Arnés-Sanz
- Heidelberg Institute of Global Health (HIGH) & Interdisciplinary Centre for Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany
| | - Meghan Bailey
- Red Cross Red Crescent Centre on Climate Change and Disaster Preparedness, The Hague, the Netherlands
| | - Till Bärnighausen
- Heidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Frederic Bartumeus
- Theoretical and Computational Ecology Group, Centre d’Estudis Avançats de Blanes (CEAB-CSIC), Blanes, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
- Centre de Recerca Ecològica i Aplicacions Forestals (CREAF), Barcelona, Spain
| | - Carme Borrell
- Pest Surveillance and Control, Agència de Salut Pública de Barcelona (ASPB), Barcelona, Spain
- Biomedical Research Center Network for Epidemiology and Public Health (CIBERESP), Barcelona, Spain
| | - Laurens M. Bouwer
- Climate Service Center Germany (GERICS), Helmholtz-Zentrum Hereon, Hamburg, Germany
| | | | - Aditi Bunker
- Heidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
- Center for Climate, Health and the Global Environment, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Kim R. van Daalen
- Barcelona Supercomputing Center (BSC), Barcelona, Spain
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- Heart and Lung Research Institute, University of Cambridge, Cambridge, United Kingdom
| | | | | | - Junwen Guo
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Katie Johnson
- Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Venice, Italy
| | - Marion P.G. Koopmans
- Department of Viroscience, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands
| | - María Máñez Costa
- Climate Service Center Germany (GERICS), Helmholtz-Zentrum Hereon, Hamburg, Germany
| | - Antonios Michaelakis
- Laboratory of Insects & Parasites of Medical Importance, Benaki Phytopathological Institute (BPI), Attica, Greece
| | - Tomás Montalvo
- Agència de Salut Pública de Barcelona (ASPB), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain
| | - Anna Omazic
- Department of Chemistry, Environment, and Feed Hygiene, National Veterinary Institute (SVA), Uppsala, Sweden
| | - John R.B. Palmer
- Department of Political and Social Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Raman Preet
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Marina Romanello
- Institute for Global Health, University College London (UCL), London, United Kingdom
| | - Mohammad Shafiul Alam
- Infectious Disease Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Reina S. Sikkema
- Department of Viroscience, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands
| | - Marta Terrado
- Barcelona Supercomputing Center (BSC), Barcelona, Spain
| | - Marina Treskova
- Heidelberg Institute of Global Health (HIGH) & Interdisciplinary Centre for Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany
| | - Diana Urquiza
- Barcelona Supercomputing Center (BSC), Barcelona, Spain
| | - Rachel Lowe
- Centre on Climate Change & Planetary Health, London School of Hygiene & Tropical Medicine (LSHTM), London, United Kingdom
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine (LSHTM), London, United Kingdom
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
- Barcelona Supercomputing Center (BSC), Barcelona, Spain
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