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Centers for Disease Control and Prevention |
Html |
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n-Valeraldehyde - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
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| DOC | 0.368812 |
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| 9887 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Food Security and Cardiovascular Disease Risk Among Adults in the United States: Findings From the National Health and Nutrition Examination Survey, 2003"2008 - CDC |
Little is known about the relationship between food security status and predicted 10-year cardiovascular disease risk. The objective of this study was to examine the associations between food security status and cardiovascular disease risk factors and predicted 10-year risk in a national sample of US adults. |
| high school | 0.269415 |
| C-reactive protein | 0.384724 |
| food security status | 0.747281 |
| systolic blood pressure | 0.329966 |
| total cholesterol | 0.293411 |
| significant association | 0.244403 |
| health insurance status | 0.272665 |
| food-secure adults | 0.263596 |
| 10-year risk | 0.259409 |
| diastolic blood pressure | 0.254155 |
| smoking status | 0.244377 |
| food insecurity | 0.386078 |
| Nutrition Examination Survey | 0.254143 |
| health insurance coverage | 0.251161 |
| marginal food security | 0.351602 |
| low food security | 0.731234 |
| cardiovascular disease risk | 0.592412 |
| disease risk factors | 0.351887 |
| oral hypoglycemic medications | 0.29485 |
| food security questions | 0.270883 |
| urinary albumin–creatinine ratio | 0.303036 |
| educational status | 0.256606 |
| mild food insecurity | 0.25334 |
| mean concentration | 0.260951 |
|
| women | 0.262716 |
| study | 0.243411 |
| significant associations | 0.267169 |
| concentrations | 0.245346 |
| Community Food Security | 0.260098 |
| United States | 0.246776 |
| food secure participants | 0.29624 |
| adults | 0.309228 |
| reduced food intake | 0.252058 |
| 10-year cardiovascular disease | 0.372543 |
| Current Population Survey | 0.251096 |
| severe food insecurity | 0.286797 |
| non-HDL cholesterol | 0.244643 |
| food insecure avail | 0.246542 |
| hba1c | 0.259108 |
| participants | 0.372054 |
| BMI | 0.247564 |
| fully food | 0.27413 |
| unadjusted food security | 0.262533 |
| HDL cholesterol | 0.25935 |
| food security questionnaire | 0.268746 |
| food security | 0.940207 |
| Adult food security | 0.268867 |
| diabetes | 0.243475 |
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| 11509 |
Centers for Disease Control and Prevention |
Html |
en |
NCIRD | About Division of Viral Diseases | Respiratory Diseases |
null |
| death | 0.439824 |
| new ways | 0.560369 |
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| global capacity | 0.568314 |
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| best leaders | 0.561349 |
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| mission | 0.44012 |
| DVD | 0.484801 |
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| Division | 0.475579 |
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| enteric viral disease | 0.795476 |
| outbreaks | 0.503576 |
| state | 0.434266 |
| respond | 0.4465 |
|
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| 13433 |
Centers for Disease Control and Prevention |
Html |
en |
Cessation Outcomes Among Quitline Callers in Three StatesDuring a National Tobacco Education Campaign |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| North Carolina | 0.783978 |
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| cessation program | 0.569481 |
| tobacco abstinence rates | 0.560332 |
| tobacco user cessation | 0.606202 |
| capita tobacco control | 0.605003 |
| North Carolina evaluation | 0.57001 |
| quit outcomes | 0.620887 |
| Telephone-based tobacco quitlines | 0.563083 |
| television grp exposure | 0.7546 |
| television grps | 0.655197 |
| Disease Control | 0.654135 |
| national media campaign | 0.581912 |
| tobacco users | 0.832616 |
| television gross rating | 0.668608 |
| antismoking mass media | 0.64223 |
| tobacco quitlines | 0.565005 |
| National Tobacco Campaign | 0.57565 |
| national tobacco education | 0.875549 |
| GRP exposure level | 0.561702 |
| campaign exposure levels | 0.620296 |
| TCP funding states | 0.568898 |
| mass media campaigns | 0.65355 |
| Nicotine Tob Res | 0.584212 |
| smoking cessation | 0.560349 |
|
| 30-day point prevalence | 0.651117 |
| state tobacco quitline | 0.620298 |
| Tips campaign exposure | 0.749253 |
| nicotine dependence level | 0.577852 |
| Tips campaign | 0.916881 |
| tobacco control funding | 0.5692 |
| higher Tips exposure | 0.628707 |
| long-term quit outcomes | 0.565572 |
| quitline callers | 0.656671 |
| media campaign exposure | 0.614004 |
| longer-term quit outcomes | 0.613179 |
| nicotine dependence | 0.739122 |
| multivariable logistic regression | 0.622643 |
| Tips television GRPs | 0.595673 |
| tobacco abstinence | 0.650143 |
| tobacco control program | 0.56463 |
| Tob Control | 0.569801 |
| 7-month quit outcomes | 0.561852 |
| gross rating points | 0.669676 |
| tobacco education campaign | 0.8915 |
| baseline nicotine dependence | 0.57786 |
| cessation | 0.658076 |
| callers | 0.68323 |
| tobacco control | 0.661897 |
|
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| 13534 |
Centers for Disease Control and Prevention |
Html |
en |
Lead Poisoning and Anemia Associated with Use of AyurvedicMedications Purchased on the Internet - Wisconsin, 2015 |
Jon Meiman, MD1,2; Robert Thiboldeaux, PhD2; Henry Anderson, MD2. |
| 1Epidemic Intelligence Service | 0.771089 |
| United States | 0.792189 |
| Urine toxic metals | 0.822945 |
| Vata Chintamani Rasa | 0.798585 |
| chelation therapy | 0.806149 |
| daily MG | 0.735695 |
| Shree Dhootapapeshwar Limited | 0.783422 |
| Wisconsin public health | 0.830198 |
| U.S. Environmental Protection | 0.782173 |
| possible environmental sources | 0.795783 |
| human health | 0.727112 |
| local health department | 0.850808 |
| Wisconsin Division | 0.722339 |
| endogenous physiologic role | 0.782244 |
| elevated blood lead | 0.87355 |
| Ayurvedic medication | 0.807831 |
| earlier reported risk | 0.776736 |
| highly toxic substance | 0.774503 |
| normal range | 0.804711 |
| Ayurvedic medications | 0.917543 |
| toxic metals | 0.859353 |
| local health departments | 0.840873 |
| inpatient medical evaluation | 0.792816 |
| public health | 0.962488 |
|
| peripheral blood smear | 0.795889 |
| lead-based herbal medicine | 0.7648 |
| female patient | 0.747079 |
| water lead level | 0.823907 |
| furnace atomic absorption | 0.773182 |
| Ayurvedic medicines | 0.748148 |
| Occupational Health | 0.717969 |
| optical emission spectroscopy | 0.774746 |
| outpatient lead | 0.735976 |
| BLL testing results | 0.876133 |
| Wisconsin State Laboratory | 0.79247 |
| local public health | 0.816469 |
| putative health benefits | 0.800589 |
| lead shot | 0.733934 |
| lead poisoning | 0.733678 |
| health problems | 0.719508 |
| oral meso-2,3-dimercaptosuccinic acid | 0.778715 |
| Jon Meiman | 0.798887 |
| single BLL | 0.780067 |
| Sri Ayurveda Trust | 0.777929 |
| case report confirms | 0.77172 |
| urine arsenic levels | 0.847252 |
| inductively coupled plasma | 0.779558 |
|
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| 13801 |
Centers for Disease Control and Prevention |
Html |
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Learn How to Prevent Children's Exposure to Lead | CDC Features |
Lead poisoning can be prevented. Learn how to prevent children’s exposure. |
| waste material home | 0.288483 |
| health care provider | 0.541301 |
| high levels | 0.258975 |
| Childhood lead poisoning | 0.423899 |
| blood lead test | 0.37412 |
| leaded paint | 0.334941 |
| preventable environmental disease | 0.274959 |
| blood lead | 0.442176 |
| children’s exposure | 0.334059 |
| local health department | 0.279143 |
| children | 0.442371 |
| young children | 0.310749 |
| National Lead Poisoning | 0.844424 |
|
| Lead hazards | 0.268392 |
| possible lead exposure | 0.389486 |
| old lead paint | 0.424514 |
| public health actions | 0.26544 |
| lead paint chips | 0.426978 |
| free blood lead | 0.374637 |
| blood lead value | 0.360429 |
| high lead level | 0.365892 |
| lead paint | 0.523885 |
| poisoning prevention activities | 0.35714 |
| lead poisoning prevention | 0.9563 |
| indoor firing range | 0.290833 |
|
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| 15502 |
Centers for Disease Control and Prevention |
Html |
en |
CDC and AAP Bust Fragile X Myths | CDC Features |
CDC and the American Academy of Pediatrics join forces to debunk common myths about fragile X syndrome. |
| CDC | 0.366641 |
| monthly magazine | 0.356183 |
| American Academy | 0.416303 |
| Myth Buster handouts | 0.409873 |
| brain function | 0.348089 |
| behavioral symptoms | 0.355846 |
| clinical guidance | 0.348954 |
| accurate diagnosis | 0.35443 |
| fragile x syndrome | 0.477062 |
| correct genetic test | 0.393542 |
| intestinal problems | 0.348459 |
| family members | 0.353534 |
| FXS patient organizations | 0.599106 |
| child’s diagnosis | 0.357282 |
| View CDC | 0.363547 |
| financial burden | 0.354219 |
| AAP | 0.420694 |
| sooner children | 0.362742 |
| CDC’s Division | 0.36404 |
| FXS Myth Buster | 0.94657 |
| exact number | 0.348697 |
| Myth Buster handout | 0.416197 |
| new FXS Myth | 0.623247 |
| intellectual disability | 0.492995 |
| FXS | 0.99868 |
|
| healthcare providers | 0.352287 |
| FXS diagnosis | 0.595287 |
| developmental disability | 0.355681 |
| KB | 0.374293 |
| normal intellectual ability | 0.388737 |
| sensory issues | 0.347952 |
| healthcare professionals | 0.39691 |
| genetic material | 0.348478 |
| Human Development | 0.354136 |
| moderate intellectual disability | 0.394735 |
| normal brain development | 0.385636 |
| complex condition | 0.350348 |
| families | 0.365365 |
| support groups | 0.36 |
| AAP News | 0.389132 |
| behavioral treatments | 0.361114 |
| emotional stress | 0.349957 |
| pediatricians | 0.411463 |
| educational services | 0.359618 |
| Policy makers | 0.351615 |
| genetic testing | 0.399723 |
| common myths | 0.357383 |
| Quality Improvement project | 0.391677 |
| global developmental delays | 0.391568 |
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| 15508 |
Centers for Disease Control and Prevention |
Html |
en |
WHO African Region (AFR) 2011-2012 |
Overview of the CDC Influenza Division International Program WHO African Region (AFR), its objectives and goals, and contains downloadable annual reports on supported countries. |
| African Region influenza | 0.496284 |
| Sustainability Cooperative Agreements | 0.246809 |
| Global Influenza Surveillance | 0.598866 |
| severe influenza | 0.432055 |
| cooperative agreement Surveillance | 0.323474 |
| Disease Control | 0.387938 |
| CDC Influenza Division | 0.493089 |
| national influenza laboratory | 0.48743 |
| influenza laboratory | 0.658365 |
| virologic surveillance systems | 0.327619 |
| World Health Organization | 0.441413 |
| surveillance data | 0.271331 |
| seasonal influenza | 0.433959 |
| national influenza vaccination | 0.458582 |
| Democratic Republic | 0.36011 |
| Building Cooperative Agreements | 0.24986 |
| Ghana | 0.270951 |
| National Influenza Reference | 0.469165 |
| Congo | 0.347137 |
| Organization Regional Office | 0.26038 |
| Influenza Division | 0.570953 |
| influenza surveillance | 0.659633 |
| virological surveillance | 0.456909 |
| influenza laboratory network | 0.651607 |
| Research Cooperative Agreements | 0.251228 |
|
| Regional Office | 0.703572 |
| South Africa | 0.360354 |
| epidemiological surveillance | 0.322175 |
| Central African Republic | 0.357444 |
| influenza | 0.994433 |
| national influenza | 0.691608 |
| Côte d’Ivoire | 0.305576 |
| Regional Influenza Laboratory | 0.536407 |
| national influenza sentinel | 0.670936 |
| U.S. Centers | 0.384154 |
| Global Influenza Program/Agence | 0.444087 |
| Integrated Disease Surveillance | 0.319085 |
| Sierra Leone | 0.544138 |
| National Influenza Centers | 0.496275 |
| pandemic influenza | 0.604737 |
| influenza sentinel surveillance | 0.860612 |
| technical assistance | 0.306323 |
| Medical Officer | 0.258472 |
| African influenza laboratories | 0.512537 |
| influenza cooperative agreements | 0.562551 |
| Burkina Faso | 0.398725 |
| African Regional Office | 0.442212 |
| CDC direct country | 0.247692 |
| influenza EQAP | 0.400838 |
|
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| 15516 |
Centers for Disease Control and Prevention |
Html |
en |
WHO Eastern Mediterranean Region (EMR) 2012-2013 |
Overview of the CDC Influenza Division International Program WHO Eastern Mediterranean Region (EMR), its objectives and goals, and contains downloadable annual reports on supported countries. |
| influenza | 0.993205 |
| current cooperative agreement | 0.497712 |
| national health authorities | 0.579381 |
| National Influenza Centres | 0.601065 |
| sentinel surveillance data | 0.531117 |
| U.S. Centers | 0.522987 |
| sub-regional training workshop | 0.504594 |
| Public Health Laboratories | 0.502108 |
| human pandemic influenza | 0.655222 |
| National Influenza Centers | 0.715519 |
| Global Influenza Surveillance | 0.682881 |
| epidemic influenza | 0.559348 |
| influenza epidemiology | 0.634032 |
| National Influenza | 0.726491 |
| at-risk population groups | 0.494213 |
| pandemic influenza | 0.697308 |
| sentinel surveillance systems | 0.518302 |
| Disease Control | 0.518005 |
| influenza virus infection | 0.581002 |
| influenza specimen collection | 0.581932 |
| Eastern Mediterranean Region | 0.951044 |
| seasonal influenza vaccines | 0.65667 |
| public health | 0.634762 |
| influenza laboratory | 0.565232 |
|
| seasonal influenza virus | 0.584055 |
| appropriate public-health policies | 0.499726 |
| novel influenza virus | 0.701618 |
| surveillance data | 0.632759 |
| technical mission | 0.499563 |
| seasonal influenza | 0.776076 |
| influenza situation | 0.571825 |
| appropriate surveillance | 0.497995 |
| sentinel surveillance | 0.561598 |
| countries | 0.525302 |
| proficiency test results | 0.491906 |
| National Influenza Centre | 0.636569 |
| SARI sentinel surveillance | 0.522503 |
| influenza cooperative agreements | 0.628651 |
| regional office | 0.727564 |
| Influenza Division | 0.6389 |
| Region Influenza Surveillance | 0.622572 |
| virological surveillance | 0.535882 |
| routinely collected surveillance | 0.582533 |
| SARI surveillance data | 0.5445 |
| influenza vaccine policy | 0.613722 |
| Communicable Disease Prevention | 0.520293 |
| public health preparedness | 0.499519 |
|
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| 16466 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Mobile App | Features | CDC |
Download the Redesigned CDC Mobile App today! |
| iPhone | 0.324025 |
| greater variety | 0.40568 |
| smartphone | 0.330563 |
| access | 0.317514 |
| Android user | 0.434745 |
| sources | 0.31664 |
| blogs | 0.317015 |
| health news | 0.397148 |
| videos | 0.317151 |
| App Stores | 0.54375 |
| iOS | 0.33037 |
| content | 0.317191 |
| switch | 0.320594 |
| button | 0.31983 |
| CDC Mobile application | 0.572574 |
| app home screen | 0.64757 |
| cdc mobile app | 0.935243 |
| text | 0.315975 |
| interesting articles | 0.395077 |
| social media | 0.39821 |
| flip | 0.324267 |
|
| Download | 0.319014 |
| email | 0.330569 |
| tap | 0.318053 |
| stories | 0.317167 |
| Rate | 0.316051 |
| online ensures | 0.40801 |
| Automatic updates | 0.40017 |
| Android users | 0.432386 |
| journals | 0.317119 |
| friends | 0.315883 |
| vital health information | 0.493998 |
| Redesigned CDC Mobile | 0.610568 |
| podcasts | 0.321226 |
| Direct links | 0.398351 |
| comment | 0.317652 |
| suggestions | 0.316299 |
| family | 0.315868 |
| weekly MMWR articles | 0.474365 |
| 24/7 | 0.317506 |
| device | 0.316535 |
|
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