Climate Change Impact Assessment of Food- and Waterborne Diseases.
Climate Change Impact Assessment of Food- and Waterborne Diseases.
复制标题
DOI:
10.1080/10643389.2010.534706
复制
发表时间:
2012-04
影响因子:
12.6
通讯作者:
Kistemann T
中科院分区:
文献类型:
--
作者:
Semenza JC;Herbst S;Rechenburg A;Suk JE;Höser C;Schreiber C;Kistemann T
The PubMed and ScienceDirect bibliographic databases were searched for the period of 1998–2009 to evaluate the impact of climatic and environmental determinants on food- and waterborne diseases. The authors assessed 1,642 short and concise sentences (key facts), which were extracted from 722 relevant articles and stored in a climate change knowledge base. Key facts pertaining to temperature, precipitation, water, and food for 6 selected pathogens were scrutinized, evaluated, and compiled according to exposure pathways. These key facts (corresponding to approximately 50,000 words) were mapped to 275 terminology terms identified in the literature, which generated 6,341 connections. These relationships were plotted on semantic network maps to examine the interconnections between variables. The risk of campylobacteriosis is associated with mean weekly temperatures, although this link is shown more strongly in the literature relating to salmonellosis. Irregular and severe rain events are associated with Cryptosporidium sp. outbreaks, while noncholera Vibrio sp. displays increased growth rates in coastal waters during hot summers. In contrast, for Norovirus and Listeria sp. the association with climatic variables was relatively weak, but much stronger for food determinants. Electronic data mining to assess the impact of climate change on food- and waterborne diseases assured a methodical appraisal of the field. This climate change knowledge base can support national climate change vulnerability, impact, and adaptation assessments and facilitate the management of future threats from infectious diseases. In the light of diminishing resources for public health this approach can help balance different climate change adaptation options.
登录
查看更多内容
影响因子:
6.4
作者:
Daniels, NA;MacKinnon, L;Slutsker, L
通讯作者:
Slutsker, L
影响因子:
28.2
作者:
Bi, Peng;Cameron, A. Scott;Parton, Kevin A.
通讯作者:
Parton, Kevin A.
影响因子:
2
作者:
DOYLE, MP;ROMAN, DJ
通讯作者:
ROMAN, DJ
影响因子:
10.4
作者:
Boxall AB;Hardy A;Beulke S;Boucard T;Burgin L;Falloon PD;Haygarth PM;Hutchinson T;Kovats RS;Leonardi G;Levy LS;Nichols G;Parsons SA;Potts L;Stone D;Topp E;Turley DB;Walsh K;Wellington EM;Williams RJ
通讯作者:
Williams RJ
DOI:
10.1099/00221287-140-4-687
发表时间:
1994-04-01
期刊:
MICROBIOLOGY-UK
影响因子:
--
作者:
BAIRDPARKER, AC
通讯作者:
BAIRDPARKER, AC