Climate  Change May Affect Food Poisoning Outbreaks 
Source : http://foodpoisoningbulletin.com/2012/climate-change-may-affect-food-poisoning-outbreaks/
By Linda Larsen (Apr 04, 2012)
Scientists predict many consequences  to climate change, such as changes
 in weather patterns and severity of storms.  But a new report titled 
Assessing the Potential Impacts of Climate Change on  Food and 
Waterborne Diseases in Europe ties climate change to increases in food  
poisoning outbreaks.
The report is an assessment of 741  peer-reviewed publications, reports,
 and scientific sources. From these, the  researchers found 1653 “key 
facts” linking food and waterborne illness  pathogens with climate 
variables.
Climate scientists say that global  mean air temperatures are projected 
to increase by 1.1 to 6.4 degrees C (2 to  11.5 degrees F) this century.
 Public health is affected by these changes, such  as deaths in heat 
waves, flooding, and increases in illnesses because of  shifting 
distribution of communicable diseases.
Food and waterborne disease incidence  is linked to precipitation levels
 and ambient temperature increases. Higher  temperatures accelerate 
pathogen growth. Extreme rain events can increase the  pathogen flow 
into the water supply. And extended warm weather seasons can  compound 
food handling mistakes.
The identified climate variables  included:
■Water temperature
■Seasonality
■Air temperature
■Heavy rainfall events
■Precipitation
■Temperature changes
Many food poisoning outbreaks are  linked to improper food handling and 
storage. For instance, perishable food  should not be held out of 
refrigeration longer than two hours. But that time is  cut in half as 
the temperature increases. When the ambient air temperature is  over 90 
degrees F, perishable food can be out of refrigeration for only one  
hour.
These pathogens were linked to climate  variables in the literature. 
■Campylobacter is the source of the  most prevalent food and waterborne 
disease in Europe. Most cases are caused by  eating raw or undercooked 
poultry, unpasteurized milk, or contaminated water.  The report found 
that Campylobacter outbreaks show strong seasonality.  Outbreaks were 
cited with the highest frequency in association with air  temperature, 
but the strength of association was not consistent. And  Campylobacter 
outbreaks are often associated with weather events. The peaks of  these 
outbreaks may change as a result of climate change.
■Salmonella infections are more common  in summer than winter. The most 
common sources of this bacteria are from raw  poultry, ground beef, 
eggs, and unpasteurized milk.
Salmonella was also cited with high  frequency in associated with air 
temperature. Improper food storage and  handling are common causes of 
salmonellosis. Some scientists think that  one-third of salmonellosis 
cases are caused by increased air temperature. In  fact, scientists have
 found that for every degree the air temperature rises  above 43 degrees
 F, salmonellosis cases rise 12%. But the report found that  
salmonellosis incidence has decreased throughout Europe, most likely 
because of  public health measures.
■Cryptosporidium is a parasite found  in drinking and recreational 
water. Most people contract it by swallowing water  contaminated with 
the parasite. Many studies have linked the transmission of  
Cryptospordium with heavy rainfall events, surface water, and tap water,
 so the  researchers predict that unexpected precipitation events will 
increase  cryptosporidiosis outbreaks. Since severe storms can overwhelm
 water treatment  facilities, Cryptosporidium contaminations may 
increase.
■non-cholera Vibrio bacteria are in  the same family as the bacteria 
that cause cholera. People who eat contaminated  seafood or have an open
 wound that is exposed to seawater can contract the  disease. 
Ulceration, skin breakdown, and, in rare cases, septicemia can occur  
when the bacteria enter open wounds. There is a strong association 
between  rising water temperatures, higher air temperature during longer
 summer seasons,  and non-cholera Vibrio infections. But the researchers
 found that because the  incidence of this bacteria is low, an increase 
in diseases will be modest.
■Listeria is found in soil and water.  Foods that have been contaminated
 with Listeria include produce, ready-to-eat  foods, unpasteurized milk 
and cheeses, and uncooked meats. This bacteria as a  source of infection
 wasn’t associated with any of the climatic extremes in any  report. The
 report authors believe that climate change is not likely to  influence 
listeriosis outbreaks, but indirect pathways could result in more  
cases.
■Norivirus causes many cases of  gastroenteritis every year because it 
is very contagious. It is spread through  person-to-person contact. One 
sick person preparing food for a group can infect  many people. It is 
most common in the winter months when people are forced into  close 
contact. But the report says that there is little published information 
 about a connection between climate and Norovirus outbreaks.
The researchers mention that  quantitative modeling studies should look 
at the strength of association  between pathogens and climate variables.
 The frequency of association between  climate variable and pathogens in
 the report is a “possible, albeit imperfect,  proxy for strength of 
association.”
The report concludes that  Campylobacter, Salmonella, and 
Cryptosporidium should be high priority for  future studies and planning
 for climate changes. Outbreaks of illness caused by  these pathogens 
have a strong public health impact and their incidence is  strongly 
associated with climate change.
The report did acknowledge publication  bias in the studies, since 
reports written in English and German were most  often used. The authors
 also say that underreporting and lack of information on  the connection
 between climate change and food and waterborne illness outbreaks  could
 be a risk to public health. The authors hope that the decline in  
Salmonella infections because of public health efforts can be replicated
 with  other pathogens, even if climate change causes incident increases
Monday, April 16, 2012
Tuesday, March 20, 2012
陈竺:“民以食为天” 食品安全卫生部不卸责
香港《大公报》13日刊文说,“民以食为天”,食品安全是民众健康的基础,受到社会广泛关注。卫生部部 长陈竺12日接受该报专访时表示,卫生部没有因为职能变化,松懈在食品安全方面的工作,承担着食品安全标准体系的建立、风险评估和监测等工作。“可以说整 个食品安全的技术支撑还在卫生部”。
2010年国务院成立食品安全委员会,中共中央政治局常委、国务院副总理李克强亲自挂帅任主任,王岐山、回良玉两位副总理任副主任,并设立正部级食品安全办公室。卫生部原来法定的综合协调、重大事故查处、重大食品安全信息发布三项职能移交。
但卫生部没有因为职能变化,松懈在食品安全方面的工作。据陈竺介绍,卫生部仍然承担食品安全标准体系的建立、风险评估和监测等工作。食品安全是 对健康造成的风险,“一种食品添加剂到底对健康有没有危害,有多大的危害,都要通过风险评估,风险评估的结果也和安全标准的建立有着非常直接的关系。”
为食品安全提供技术支撑
此外,卫生部还担负食品安全检测检验机构的资质认定,食品药品监督管理局承担餐饮环节食品安全的监管任务,“可以说整个食品安全的技术支撑还在卫生部”。
陈竺表示,中国古话讲“民以食为天”,食品安全是健康的基础,就像饮用水的安全、环境的安全,是“大卫生”的一个基石,从某种意义上讲,安全的食品起到的作用比在治疗环节做的努力更重要。
食品安全问题多是政府主动查出
近几年从中央到地方各级政府高度重视食品安全问题,加大力度打击食品安全的违法犯罪行为。陈竺反问,“是不是现在中国的食品安全局势就是一塌糊 涂、糟糕的很?”在他看来并不如此。“实事求是地说,这几年媒体报道的一些事件很多都是政府主动查出来的,是加强食品安全监管以后发现的问题。”他强调现 在发现的问题基本上还都是个案,没有成为系统性风险。
与三鹿奶粉造成的大面积污染不同,“现在发现的基本都是点上的问题,很多都是在没有造成危害时就已经查处了。”陈竺表示,食源性疾病的发病率这 几年没有明显增加,实际上还在降低,食品中毒事件也控制在很低的水平。他指出,对于整个食品安全局势还应当客观看待。(贾磊)(编辑 喻孟)
2010年国务院成立食品安全委员会,中共中央政治局常委、国务院副总理李克强亲自挂帅任主任,王岐山、回良玉两位副总理任副主任,并设立正部级食品安全办公室。卫生部原来法定的综合协调、重大事故查处、重大食品安全信息发布三项职能移交。
但卫生部没有因为职能变化,松懈在食品安全方面的工作。据陈竺介绍,卫生部仍然承担食品安全标准体系的建立、风险评估和监测等工作。食品安全是 对健康造成的风险,“一种食品添加剂到底对健康有没有危害,有多大的危害,都要通过风险评估,风险评估的结果也和安全标准的建立有着非常直接的关系。”
为食品安全提供技术支撑
此外,卫生部还担负食品安全检测检验机构的资质认定,食品药品监督管理局承担餐饮环节食品安全的监管任务,“可以说整个食品安全的技术支撑还在卫生部”。
陈竺表示,中国古话讲“民以食为天”,食品安全是健康的基础,就像饮用水的安全、环境的安全,是“大卫生”的一个基石,从某种意义上讲,安全的食品起到的作用比在治疗环节做的努力更重要。
食品安全问题多是政府主动查出
近几年从中央到地方各级政府高度重视食品安全问题,加大力度打击食品安全的违法犯罪行为。陈竺反问,“是不是现在中国的食品安全局势就是一塌糊 涂、糟糕的很?”在他看来并不如此。“实事求是地说,这几年媒体报道的一些事件很多都是政府主动查出来的,是加强食品安全监管以后发现的问题。”他强调现 在发现的问题基本上还都是个案,没有成为系统性风险。
与三鹿奶粉造成的大面积污染不同,“现在发现的基本都是点上的问题,很多都是在没有造成危害时就已经查处了。”陈竺表示,食源性疾病的发病率这 几年没有明显增加,实际上还在降低,食品中毒事件也控制在很低的水平。他指出,对于整个食品安全局势还应当客观看待。(贾磊)(编辑 喻孟)
Friday, January 13, 2012
useful Chinese Website as reference for our Database
1. www.ganchi.net;
fulfill the advertisement needs of the unknown dietitians in China by the point redemption scheme, make them work as the contributing writer and professional FAQ system. This website dedicates to be a Chinese food database with science popularization about nutrition value and food additives. 
2. http://anxinshipin.com/
seems to be a consumer organization website by providing verified food safety information, experts suggestion and surveillance report with the result from third-party testing lab. 
Both these are announced in 2011.
Wednesday, January 11, 2012
Anti-spam techniques--wiki
The techniques are used as reference to figure out the method for distinguishing the relevant and non relevant content. http://en.wikipedia.org/wiki/Anti-spam_techniques.
1.1
Detecting spam based on the content of the e-mail, either by detecting keywords such as "viagra" or by statistical means (content or non-content based), is very popular. The content also doesn't determine whether the email was either unsolicited or bulk, the two key features of spam. Non-content base statistical means can help lower false positives because it looks at statistical means vs. blocking based on content/keywords.-----keyword detection and behavior patten analysis;
1.2.
Many filtering systems take advantage of machine learning techniques, which improve their accuracy over manual methods;--- keyword detection by machine learning, the next stage objects;
1.3.
Other more advanced techniques analyze message patterns in real time to detect spam like behavior and then compares it to global databases of spam.Pattern detection, Pioneered by Commtouch,This method is more automated than most because the service provider maintains the comparative spam database instead of the system administrator.--- real-time analysis of behavior patten based on database, can be part of our new further research;
1.4.
Enforcing RFC standards & Checksum-based filtering --- the format and behavior differentiation;
2.1.
The most popular DNSBLs (DNS Blacklists) are lists of IP addresses of known spammers, known open relays, known proxy servers, compromised “zombie” spammers--- list of sites;
2.2.
list sites authorized to send email, and (sometimes) to determine the reputation of those sites.--- reputation of sites and views of articles for parameter weight in relevance ranking;
3.1
1.1
Detecting spam based on the content of the e-mail, either by detecting keywords such as "viagra" or by statistical means (content or non-content based), is very popular. The content also doesn't determine whether the email was either unsolicited or bulk, the two key features of spam. Non-content base statistical means can help lower false positives because it looks at statistical means vs. blocking based on content/keywords.-----keyword detection and behavior patten analysis;
1.2.
Many filtering systems take advantage of machine learning techniques, which improve their accuracy over manual methods;--- keyword detection by machine learning, the next stage objects;
1.3.
Other more advanced techniques analyze message patterns in real time to detect spam like behavior and then compares it to global databases of spam.Pattern detection, Pioneered by Commtouch,This method is more automated than most because the service provider maintains the comparative spam database instead of the system administrator.--- real-time analysis of behavior patten based on database, can be part of our new further research;
1.4.
Enforcing RFC standards & Checksum-based filtering --- the format and behavior differentiation;
2.1.
The most popular DNSBLs (DNS Blacklists) are lists of IP addresses of known spammers, known open relays, known proxy servers, compromised “zombie” spammers--- list of sites;
2.2.
list sites authorized to send email, and (sometimes) to determine the reputation of those sites.--- reputation of sites and views of articles for parameter weight in relevance ranking;
3.1
Some systems let individual users have some control over this balance by setting "spam score" limits, etc. the open source programs SpamAssassin and Policyd-weight uses some or all of the various tests for spam, and assigns a numerical score to each test. Each message is scanned for these patterns, and the applicable scores tallied up. If the total is above a fixed value, the message is rejected or flagged as spam. ---weighted scoring;
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