Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Anton Beloconi"'
Autor:
Simon Kariuki, David Obor, Stephen Munga, Penelope Vounatsou, Godfrey Bigogo, Sammy Khagayi, Bryan O. Nyawanda, Steve B. Odhiambo, Anton Beloconi, Nancy A. Otieno
Publikováno v:
BMJ Global Health, Vol 9, Iss 9 (2024)
Background Malaria mortality is influenced by several factors including climatic and environmental factors, interventions, socioeconomic status (SES) and access to health systems. Here, we investigated the joint effects of climatic and non-climatic f
Externí odkaz:
https://doaj.org/article/22e18fd4d87441bfb93ebf69004b0930
Autor:
Anton Beloconi, Bryan O. Nyawanda, Godfrey Bigogo, Sammy Khagayi, David Obor, Ina Danquah, Simon Kariuki, Stephen Munga, Penelope Vounatsou
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Assessment of the relative impact of climate change on malaria dynamics is a complex problem. Climate is a well-known factor that plays a crucial role in driving malaria outbreaks in epidemic transmission areas. However, its influence in end
Externí odkaz:
https://doaj.org/article/1ffccfe3f1e9470a85b4e209c04f2319
Autor:
Bryan O. Nyawanda, Anton Beloconi, Sammy Khagayi, Godfrey Bigogo, David Obor, Nancy A. Otieno, Stefan Lange, Jonas Franke, Rainer Sauerborn, Jürg Utzinger, Simon Kariuki, Stephen Munga, Penelope Vounatsou
Publikováno v:
Parasite Epidemiology and Control, Vol 21, Iss , Pp e00297- (2023)
Background: Despite considerable progress made over the past 20 years in reducing the global burden of malaria, the disease remains a major public health problem and there is concern that climate change might expand suitable areas for transmission. T
Externí odkaz:
https://doaj.org/article/6edb8ae998ac4048871951147e25df15
Publikováno v:
Environment International, Vol 121, Iss , Pp 57-70 (2018)
Air quality monitoring across Europe is mainly based on in situ ground stations, which are too sparse to accurately assess the exposure effects of air pollution for the entire continent. The demand for precise predictive models that estimate gridded
Externí odkaz:
https://doaj.org/article/b072d11cfdde461a9f03efecd9f23eb8
Autor:
Anton Beloconi, Penelope Vounatsou
Publikováno v:
Environment International, Vol 138, Iss , Pp - (2020)
Bayesian geostatistical regression (GR) models estimate air pollution exposure at high spatial resolution, quantify the prediction uncertainty and provide probabilistic inference on the exceedance of air quality thresholds. However, due to high compu
Externí odkaz:
https://doaj.org/article/9d9d936fb6eb4877b4457cc165af89d0
Autor:
Anton Beloconi, Penelope Vounatsou
Publikováno v:
Environmental research. 216(Pt 1)
Several studies are pointing out that exposure to elevated air pollutants could contribute to increased COVID-19 mortality. However, literature on the associations between air pollution exposure and COVID-19 severe morbidity is rather sparse. In addi
Publikováno v:
Environment International
Environment International, Vol 121, Iss, Pp 57-70 (2018)
Environment International, Vol 121, Iss, Pp 57-70 (2018)
Air quality monitoring across Europe is mainly based on in situ ground stations, which are too sparse to accurately assess the exposure effects of air pollution for the entire continent. The demand for precise predictive models that estimate gridded
Publikováno v:
The Science of the Total Environment
The lockdown and related measures implemented by many European countries to stop the spread of the SARS-CoV-2 virus (COVID-19) pandemic have altered the economic activities and road transport in many cities. To rigorously evaluate how these measures
Autor:
Anton, Beloconi, Penelope, Vounatsou
Publikováno v:
Environment International
Highlights • Predictions of NO2 concentrations across Europe at 1 km2 spatial resolution. • Estimates of population exposed to NO2 levels exceeding WHO and EU thresholds. • Tropospheric column to-surface conversion of satellite NO2 using GEOS-C
Autor:
Benido Impouma, Sizwe D. Mabaso, Penelope Vounatsou, Ibrahima Socé Fall, Sabelo Dlamini, Anton Beloconi
High resolution remotely sensed (RS) data products remain of interest in disease mapping studies. However, previous usage of such satellite-derived products had been limited by high costs. There is also unprecedented space activity characterized by p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dac41dfba89c4e2b439678241c0975f
https://edoc.unibas.ch/69762/
https://edoc.unibas.ch/69762/