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804 results on '"FLEMING, LORA E."'

5. Sex-Specific Association of Ambient Temperature With Urine Biomarkers in Southwest Coastal Bangladesh

Author

Mazumder, Hoimonty, Mondol, Momenul Haque, Rahman, Mahbubur, Khan, Rizwana, Doza, Solaiman, Unicomb, Leanne, Jahan, Farjana, Mukhopadhyay, Ayesha, Makris, Konstantinos C., Caban-Martinez, Alberto, Iqbal, Romaina, Ahmed, Faruk, Creencia, Lota, Shamsudduha, Mohammad, Mzayek, Fawaz, Jia, Chunrong, Zhang, Hongmei, Musah, Anwar, Fleming, Lora E., Mou, Xichen, Kovesdy, Csaba P., Gribble, Matthew O., and Naser, Abu Mohd

Published
2024
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15. Mechanisms underlying childhood exposure to blue spaces and adult subjective well-being: An 18-country analysis

Author

Vitale, Valeria, Martin, Leanne, White, Mathew P., Elliott, Lewis R., Wyles, Kayleigh J., Browning, Matthew H.E.M., Pahl, Sabine, Stehl, Patricia, Bell, Simon, Bratman, Gregory N., Gascon, Mireia, Grellier, James, Lima, Maria L., Lõhmus, Mare, Nieuwenhuijsen, Mark, Ojala, Ann, Taylor, Jane, van den Bosch, Matilda, Weinstein, Netta, and Fleming, Lora E.

Published
2022
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21. Time and tide

Author

Depledge, Michael H, White, Mathew P, Maycock, Bruce, and Fleming, Lora E

Published
2019

28. A mathematical, classical stratification modeling approach to disentangling the impact of weather on infectious diseases: A case study using spatio-temporally disaggregated Campylobacter surveillance data for England and Wales.

Author

Lo Iacono, Giovanni, Cook, Alasdair J. C., Derks, Gianne, Fleming, Lora E., French, Nigel, Gillingham, Emma L., Gonzalez Villeta, Laura C., Heaviside, Clare, La Ragione, Roberto M., Leonardi, Giovanni, Sarran, Christophe E., Vardoulakis, Sotiris, Senyah, Francis, van Vliet, Arnoud H. M., and Nichols, Gordon

Subjects
COMMUNICABLE diseases, FOODBORNE diseases, CAMPYLOBACTER, CAMPYLOBACTER infections, WEATHER, MEDICAL climatology, SEASONAL variations of diseases
Abstract

Disentangling the impact of the weather on transmission of infectious diseases is crucial for health protection, preparedness and prevention. Because weather factors are co-incidental and partly correlated, we have used geography to separate out the impact of individual weather parameters on other seasonal variables using campylobacteriosis as a case study. Campylobacter infections are found worldwide and are the most common bacterial food-borne disease in developed countries, where they exhibit consistent but country specific seasonality. We developed a novel conditional incidence method, based on classical stratification, exploiting the long term, high-resolution, linkage of approximately one-million campylobacteriosis cases over 20 years in England and Wales with local meteorological datasets from diagnostic laboratory locations. The predicted incidence of campylobacteriosis increased by 1 case per million people for every 5° (Celsius) increase in temperature within the range of 8°–15°. Limited association was observed outside that range. There were strong associations with day-length. Cases tended to increase with relative humidity in the region of 75–80%, while the associations with rainfall and wind-speed were weaker. The approach is able to examine multiple factors and model how complex trends arise, e.g. the consistent steep increase in campylobacteriosis in England and Wales in May-June and its spatial variability. This transparent and straightforward approach leads to accurate predictions without relying on regression models and/or postulating specific parameterisations. A key output of the analysis is a thoroughly phenomenological description of the incidence of the disease conditional on specific local weather factors. The study can be crucially important to infer the elusive mechanism of transmission of campylobacteriosis; for instance, by simulating the conditional incidence for a postulated mechanism and compare it with the phenomenological patterns as benchmark. The findings challenge the assumption, commonly made in statistical models, that the transformed mean rate of infection for diseases like campylobacteriosis is a mere additive and combination of the environmental variables. Author summary: There is good evidence that weather influences some infectious diseases, driving the seasonal and geographic distribution. This is relevant to gastrointestinal infections, which cause high morbidity and mortality worldwide. Weather can impact people's behaviour, pathogen survival and distribution, animal husbandry, and other environmental variables. We used campylobacteriosis in England and Wales as a case-study to examine a new methodology because it has a distinctive seasonality. The approach compares daily data on affected people by laboratory, the population of the laboratory catchments, and local weather variables. This allows Campylobacter incidence to be compared across the values of these variables (e.g. low to high temperature) to provide an estimate of how individual weather variables, alone or in combination, affect disease incidence. We call this the Comparative Conditional Incidence. The results from this analysis are used to build a mathematical model that represents how weather through the year influences the seasonality of disease. The factors most associated with Campylobacter are day-length, air temperature and relative humidity. This will influence future research to understand why the environment influences disease occurrence, and what the burden and pattern of the disease under different climatic scenarios. The methods may have relevance to other seasonal diseases. [ABSTRACT FROM AUTHOR]

Published
2024
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43. Molecular tools for bathing water assessment in Europe: Balancing social science research with a rapidly developing environmental science evidence-base

Author

Oliver, David M., Hanley, Nick D., van Niekerk, Melanie, Kay, David, Heathwaite, A. Louise, Rabinovici, Sharyl J. M., Kinzelman, Julie L., Fleming, Lora E., Porter, Jonathan, Shaikh, Sabina, Fish, Rob, Chilton, Sue, Hewitt, Julie, Connolly, Elaine, Cummins, Andy, Glenk, Klaus, McPhail, Calum, McRory, Eric, McVittie, Alistair, Giles, Amanna, Roberts, Suzanne, Simpson, Katherine, Tinch, Dugald, Thairs, Ted, Avery, Lisa M., Vinten, Andy J. A., Watts, Bill D., and Quilliam, Richard S.

Published
2016
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44. Applying an ecosystem services framework on nature and mental health to recreational blue space visits across 18 countries

Author

Garrett, Joanne K, White, Mathew P, Elliott, Lewis R, Grellier, James, Bell, Simon, Bratman, Gregory N, Economou, Theo, Gascon, Mireia, Lõhmus, Mare, Nieuwenhuijsen, Mark J, Ojala, Ann, Roiko, Anne, van den Bosch, Matilda, Ward Thompson, Catharine, and Fleming, Lora E

Subjects
Natura, Multidisciplinary, Ecosistemes, Salut mental, Espais naturals
Abstract

The effects of ‘nature’ on mental health and subjective well-being have yet to be consistently integrated into ecosystem service models and frameworks. To address this gap, we used data on subjective mental well-being from an 18-country survey to test a conceptual model integrating mental health with ecosystem services, initially proposed by Bratman et al. We analysed a range of individual and contextual factors in the context of 14,998 recreational visits to blue spaces, outdoor environments which prominently feature water. Consistent with the conceptual model, subjective mental well-being outcomes were dependent upon on a complex interplay of environmental type and quality, visit characteristics, and individual factors. These results have implications for public health and environmental management, as they may help identify the bluespace locations, environmental features, and key activities, that are most likely to impact well-being, but also potentially affect recreational demand on fragile aquatic ecosystems. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 666773. Data collection in California was supported by the Center for Conservation Biology, Stanford University. Data collection in Canada was supported by the Faculty of Forestry, University of British Columbia. Data collection in Finland was supported by the Natural Resources Institute Finland (Luke). Data collection in Australia was supported by Griffith University and the University of the Sunshine Coast. Data collection in Portugal was supported by ISCTE—University Institute of Lisbon. Data collection in Ireland was supported by the Environmental Protection Agency, Ireland. Data collection in Hong Kong was supported by an internal University of Exeter—Chinese University of Hong Kong international collaboration fund. MG holds a Miguel Servet fellowship (Grant CP19/00183) funded by Acción Estratégica de Salud—Instituto de Salud Carlos III, co-funded by European Social Fund "Investing in your future". ISGlobal acknowledges support from the Spanish Ministry of Science and Innovation through the "Centro de Excelencia Severo Ochoa 2019–2023" Program (CEX2018-000806-S), and support from the Generalitat de Catalunya through the CERCA Program. TE was funded by the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 856612 and the Cyprus Government.

Published
2023

45. Risk in Daily Newspaper Coverage of Red Tide Blooms in Southwest Florida

Author

Li, Zongchao, Garrison, Bruce, Ullmann, Steven G., Kirkpatrick, Barbara, Fleming, Lora E., and Hoagland, Porter

Abstract

This study investigated newspaper coverage of Florida red tide blooms in four metropolitan areas of Southwest Florida during a 25-year period, 1987-2012. We focused on how journalists framed red tide stories with respect to environmental risk, health risk, and economic risk. We determined risk to be a key factor in this news coverage, being an aspect of coverage of red tide itself in terms of environmental risk, tourism risk, and public health risk. The study found that red tide news coverage is most often framed as an environmental story.

Published
2015
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50. Innovative actions in oceans and human health for Europe.

Author

Pellens, Noortje, Boelee, Eline, Veiga, Joana M, Fleming, Lora E, and Blauw, Anouk

Subjects
HEALTH policy, RESEARCH methodology, HEALTH status indicators, QUANTITATIVE research, INTERVIEWING, POPULATION geography, QUALITATIVE research, CONCEPTUAL structures, OCEAN, QUESTIONNAIRES, DESCRIPTIVE statistics, RESEARCH funding, JUDGMENT sampling, NATURE, CONTENT analysis, DATA analysis software, HEALTH promotion, DIFFUSION of innovations, POLLUTION, CLIMATE change, GOAL (Psychology)
Abstract

Innovative actions are local initiatives which leverage the interactions between the ocean and human health to reduce the risks and enhance the benefits for the stakeholders and the natural environment. These initiatives can have strong positive effects on human health and wellbeing as well as on the marine environment. We analysed 150 such innovative actions in Europe. Using a combined case study and survey approach, innovative actions were identified using interviews and content analysis of websites and compiled into a database. Quantitative data were analysed according to the Drivers, Pressures, State, Impact and Response (DPSIR) framework, guided by selected in-depth interviews. Overall, the innovative actions provided a positive impact on the health of both the ocean and humans through increasing food provision, water quality and tourism opportunities; and addressing environmental issues such as commercial fish stock depletion, pollution and climate change. Innovative actions contributed to meeting various targets of the Sustainable Development Goals (SDGs) 3, 13 and 14. These actions played a potential role ahead of and alongside policy. Some of the innovative actions may have potential to be put in place elsewhere. Such up-scaling would need to be adapted to local circumstances and could be facilitated by an innovative action exchange platform. [ABSTRACT FROM AUTHOR]

Published
2023
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