ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Publication Date: 1999-07-20
    Description: All known Rift Valley fever virus outbreaks in East Africa from 1950 to May 1998, and probably earlier, followed periods of abnormally high rainfall. Analysis of this record and Pacific and Indian Ocean sea surface temperature anomalies, coupled with satellite normalized difference vegetation index data, shows that prediction of Rift Valley fever outbreaks may be made up to 5 months in advance of outbreaks in East Africa. Concurrent near-real-time monitoring with satellite normalized difference vegetation data may identify actual affected areas.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Linthicum, K J -- Anyamba, A -- Tucker, C J -- Kelley, P W -- Myers, M F -- Peters, C J -- New York, N.Y. -- Science. 1999 Jul 16;285(5426):397-400.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Defense, Global Emerging Infections System, Division of Preventive Medicine, Walter Reed Army Institute of Research, Washington, DC 20307-5100, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/10411500" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Climate ; *Disease Outbreaks ; *Forecasting ; Humans ; Kenya/epidemiology ; Oceans and Seas ; Pacific Ocean ; Rain ; Rift Valley Fever/*epidemiology/prevention & control/veterinary ; Temperature ; *Weather
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    Publication Date: 2013-04-09
    Description: Dengue is a systemic viral infection transmitted between humans by Aedes mosquitoes. For some patients, dengue is a life-threatening illness. There are currently no licensed vaccines or specific therapeutics, and substantial vector control efforts have not stopped its rapid emergence and global spread. The contemporary worldwide distribution of the risk of dengue virus infection and its public health burden are poorly known. Here we undertake an exhaustive assembly of known records of dengue occurrence worldwide, and use a formal modelling framework to map the global distribution of dengue risk. We then pair the resulting risk map with detailed longitudinal information from dengue cohort studies and population surfaces to infer the public health burden of dengue in 2010. We predict dengue to be ubiquitous throughout the tropics, with local spatial variations in risk influenced strongly by rainfall, temperature and the degree of urbanization. Using cartographic approaches, we estimate there to be 390 million (95% credible interval 284-528) dengue infections per year, of which 96 million (67-136) manifest apparently (any level of disease severity). This infection total is more than three times the dengue burden estimate of the World Health Organization. Stratification of our estimates by country allows comparison with national dengue reporting, after taking into account the probability of an apparent infection being formally reported. The most notable differences are discussed. These new risk maps and infection estimates provide novel insights into the global, regional and national public health burden imposed by dengue. We anticipate that they will provide a starting point for a wider discussion about the global impact of this disease and will help to guide improvements in disease control strategies using vaccine, drug and vector control methods, and in their economic evaluation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3651993/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3651993/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bhatt, Samir -- Gething, Peter W -- Brady, Oliver J -- Messina, Jane P -- Farlow, Andrew W -- Moyes, Catherine L -- Drake, John M -- Brownstein, John S -- Hoen, Anne G -- Sankoh, Osman -- Myers, Monica F -- George, Dylan B -- Jaenisch, Thomas -- Wint, G R William -- Simmons, Cameron P -- Scott, Thomas W -- Farrar, Jeremy J -- Hay, Simon I -- 084368/Wellcome Trust/United Kingdom -- 089276/Wellcome Trust/United Kingdom -- 095066/Wellcome Trust/United Kingdom -- 097318/Wellcome Trust/United Kingdom -- R01 AI069341/AI/NIAID NIH HHS/ -- R01 AI091980/AI/NIAID NIH HHS/ -- R01 GM083224/GM/NIGMS NIH HHS/ -- Biotechnology and Biological Sciences Research Council/United Kingdom -- England -- Nature. 2013 Apr 25;496(7446):504-7. doi: 10.1038/nature12060. Epub 2013 Apr 7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Spatial Ecology and Epidemiology Group, Tinbergen Building, Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23563266" target="_blank"〉PubMed〈/a〉
    Keywords: Cohort Studies ; Databases, Factual/standards ; Dengue/*epidemiology/transmission/virology ; Dengue Virus/physiology ; Global Health/*statistics & numerical data ; Humans ; Incidence ; Public Health/statistics & numerical data ; Quality Control ; Rain ; Risk Factors ; Temperature ; Tropical Climate ; Urbanization ; World Health Organization
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 3
    Publication Date: 2000-08-01
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2011-08-24
    Description: Emerging infectious diseases pose a growing threat to human populations. Many of the world's epidemic diseases (particularly those transmitted by intermediate hosts) are known to be highly sensitive to long-term changes in climate and short-term fluctuations in the weather. The application of environmental data to the study of disease offers the capability to demonstrate vector-environment relationships and potentially forecast the risk of disease outbreaks or epidemics. Accurate disease forecasting models would markedly improve epidemic prevention and control capabilities. This chapter examines the potential for epidemic forecasting and discusses the issues associated with the development of global networks for surveillance and prediction. Existing global systems for epidemic preparedness focus on disease surveillance using either expert knowledge or statistical modelling of disease activity and thresholds to identify times and areas of risk. Predictive health information systems would use monitored environmental variables, linked to a disease system, to be observed and provide prior information of outbreaks. The components and varieties of forecasting systems are discussed with selected examples, along with issues relating to further development.
    Keywords: Life Sciences (General)
    Type: Advances in parasitology (ISSN 0065-308X); Volume 47; 309-30
    Format: text
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...