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Centers for Disease Control and Prevention |
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50th Anniversary Report on Smoking and Health | CDC Features |
Fifty years after the first report, the 2014 Surgeon General’s Report on Smoking and Health reveals new details about the dangers of smoking as well as strategies to curtail the cigarette epidemic. |
| cancer treatment | 0.415059 |
| candy cigarettes | 0.423304 |
| lung cancer | 0.599428 |
| federal document report | 0.525298 |
| tobacco control programs | 0.580243 |
| complete report | 0.420999 |
| children | 0.41468 |
| early 1960s | 0.414268 |
| fewer cigarettes | 0.418017 |
| secondhand smoke | 0.511831 |
| age-related macular degeneration | 0.482208 |
| scientifically rigorous report | 0.522919 |
| comprehensive tobacco control | 0.603128 |
| tobacco prevention | 0.516883 |
| colorectal cancer | 0.415091 |
| public health leaders | 0.481177 |
| comprehensive smokefree policies | 0.474177 |
| Surgeon General Boris | 0.486666 |
| health care costs | 0.490988 |
| cigarette brands | 0.414692 |
| tobacco products | 0.487669 |
| smoking causes | 0.654094 |
| Hard-hitting mass-media campaigns | 0.481566 |
| accessible cessation help | 0.472122 |
| tobacco use epidemic | 0.617177 |
|
| obstructive pulmonary disease | 0.487294 |
| United States | 0.619584 |
| Health Consequences | 0.419916 |
| cigarette smoke | 0.427918 |
| new details | 0.50743 |
| new Surgeon General | 0.536641 |
| cigarette smoking | 0.727894 |
| tobacco smoking | 0.818193 |
| current smoking rates | 0.72561 |
| tobacco marketing | 0.528309 |
| heart disease | 0.502698 |
| smoking | 0.996036 |
| Dr. Luther Terry | 0.489413 |
| secondhand smoke exposure | 0.499169 |
| tobacco companies | 0.520309 |
| Surgeon General | 0.852184 |
| Tobacco advertising | 0.511337 |
| tobacco epidemic | 0.514217 |
| 50th anniversary SGR | 0.490729 |
| report | 0.55488 |
| unacceptably high rates | 0.473711 |
| new report | 0.424073 |
| tobacco-use epidemic | 0.415873 |
| tobacco control | 0.636207 |
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Centers for Disease Control and Prevention |
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June 30, 2009: States Where Persons Infected with the Outbreak Strain of E. coli O157:H7 Live, United States, by State | E. coli CDC |
Get the latest CDC information on the recent infections from fresh spinach, and find out what you can do to protect yourself and your family. |
| O157 | 0.384189 |
| North Carolina | 0.383453 |
| Oregon | 0.314365 |
| CDC | 0.319909 |
| United States | 0.559439 |
| confirmatory test results | 0.456648 |
| Maine | 0.314775 |
| Oklahoma | 0.314401 |
| South Carolina | 0.381479 |
| advanced DNA test | 0.457827 |
| number | 0.315256 |
| Eating Raw Refrigerated | 0.478988 |
| Colorado | 0.3151 |
| Massachusetts | 0.314846 |
| Missouri | 0.314712 |
| ill persons | 0.389865 |
| Tuesday | 0.314799 |
| E. coli | 0.953552 |
| outbreak strain | 0.811115 |
| Arizona | 0.315171 |
| H7 Live | 0.698498 |
| Outbreak Investigations | 0.475792 |
|
| Nevada | 0.314514 |
| New York | 0.382645 |
| Montana | 0.314676 |
| Prepackaged Cookie Dough | 0.489289 |
| Kentucky | 0.314881 |
| Minnesota | 0.314747 |
| California | 0.315128 |
| Delaware | 0.315029 |
| particular DNA fingerprint | 0.466805 |
| New Jersey | 0.383089 |
| Pennsylvania | 0.31433 |
| persons | 0.390941 |
| Iowa | 0.314952 |
| Illinois | 0.314923 |
| Texas | 0.314245 |
| New Hampshire | 0.383331 |
| Connecticut | 0.315065 |
| Ohio | 0.314429 |
| Georgia | 0.314994 |
| Maryland | 0.314817 |
| Multistate Outbreak | 0.484653 |
|
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| 4609 |
Centers for Disease Control and Prevention |
Html |
en |
January 6, 2010: Multistate Outbreak of E. coli O157:H7 Infections | E. coli CDC |
Get the latest CDC information on the recent infections from ground beef, and find out what you can do to protect yourself and your family. |
| epidemiologic information | 0.653492 |
| ill individuals | 0.599976 |
| CDC | 0.577834 |
| illnesses | 0.542878 |
| multistate cluster | 0.591012 |
| number | 0.529071 |
| recent FSIS recall | 0.712635 |
| beef products | 0.57636 |
| ill persons | 0.66906 |
| PM EDT | 0.591868 |
| OutbreakNet team | 0.576841 |
| Poultry Hotline | 0.572084 |
| median age | 0.584227 |
| PulseNet staff | 0.577682 |
| Food Safety | 0.590372 |
| patients | 0.553315 |
| public health officials | 0.664479 |
| particular DNA fingerprint | 0.637948 |
| Escherichia coli O157 | 0.761644 |
| pulsed-field gel electrophoresis | 0.641523 |
| illness onset | 0.679624 |
| multistate outbreak | 0.636326 |
| United States | 0.676387 |
| resides | 0.514858 |
| Washington. More information | 0.578534 |
|
| illness onset dates | 0.659583 |
| mid-October | 0.518299 |
| Agriculture | 0.515566 |
| epi curve | 0.583525 |
| epidemic curve | 0.581402 |
| local health departments | 0.632015 |
| E. coli | 0.925792 |
| outbreak strain | 0.784035 |
| local partners | 0.575325 |
| HUS | 0.515673 |
| E. coli Cases | 0.722558 |
| South Dakota | 0.576279 |
| FSIS web site | 0.710192 |
| hemolytic uremic syndrome | 0.655524 |
| food source | 0.574978 |
| additional epidemiologic information | 0.647049 |
| H7 | 0.759529 |
| United States Department | 0.674172 |
| National Steak | 0.578965 |
| time | 0.526738 |
| non-intact steaks | 0.578239 |
| chart | 0.525308 |
| hospitalizations | 0.519376 |
| Inspection Service | 0.592024 |
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Centers for Disease Control and Prevention |
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Methyl isobutyl carbinol - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 7567 |
Centers for Disease Control and Prevention |
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FASD - My Story - Real Stories from People living with Fetal Alcohol Spectrum Disorders |
FASDs are 100% preventable if a woman does not drink alcohol during pregnancy. There is no known safe amount of alcohol to drink while pregnant. There is also no safe time during pregnancy to drink and no safe kind of alcohol. |
| high school | 0.453134 |
| school community | 0.393881 |
| Taylor extreme anxiety | 0.492196 |
| large national grocery | 0.450042 |
| lead custodian | 0.386503 |
| Cathy Allen | 0.469121 |
| National Organization | 0.635066 |
| Melissa | 0.429178 |
| drank alcohol | 0.411009 |
| customer service skills | 0.446398 |
| annual Seminar Series | 0.44219 |
| things | 0.408871 |
| behaviors Taylor | 0.420595 |
| FASD community | 0.581645 |
| high functioning end | 0.463506 |
| Taylor’s diagnosis | 0.425434 |
| Taylor | 0.539418 |
| pregnancy | 0.422144 |
| Suicide Prevention Program | 0.441051 |
| NOFAS website | 0.391461 |
| social awkwardness | 0.389961 |
| Vice President | 0.443413 |
| FASD behaviors | 0.511802 |
| FASD journey | 0.503808 |
| Sasha | 0.587014 |
|
| FASD Awareness | 0.496804 |
| Taylor’s parents | 0.425055 |
| great family support | 0.452365 |
| Kennedy Krieger Institute | 0.462376 |
| well-rounded young man | 0.444273 |
| alcohol dependence | 0.406146 |
| trade school | 0.396033 |
| drinking alcohol | 0.393013 |
| Sasha proudly shares | 0.531257 |
| Taylor Allen | 0.420455 |
| Fetal Alcohol Syndrome | 0.921584 |
| DC area | 0.39252 |
| FASD story | 0.493346 |
| NOFAS | 0.491462 |
| Allen family | 0.394892 |
| best possible care | 0.442483 |
| attention-deficit/hyperactivity disorder | 0.395341 |
| FASD | 0.73025 |
| people | 0.451389 |
| active member | 0.447752 |
| national nonprofit resource | 0.450441 |
| FASD Communities | 0.486973 |
| church bowling league | 0.436657 |
| 23-year-old young man | 0.477418 |
|
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Physical Activity Surveillance in Parks Using Direct Observation - CDC |
Primary features of observational public health surveillance instruments are that they are valid, can reliably estimate physical activity behaviors, and are useful across diverse geographic settings and seasons by different users. Previous studies have reported the validity and reliability of Systematic Observation of Play and Recreation in Communities (SOPARC) to estimate park and user characteristics. The purpose of this investigation was to establish the use of SOPARC as a surveillance instrument and to situate the findings from the study in the context of the previous literature. |
| North Carolina | 0.581703 |
| park users | 0.825418 |
| target areas | 0.610413 |
| diverse geographic settings | 0.607559 |
| target area | 0.556291 |
| direct observation assessment | 0.551718 |
| data | 0.597816 |
| physical activity behaviors | 0.587134 |
| different users | 0.590842 |
| parks | 0.658939 |
| Measuring physical activity | 0.569108 |
| total park users | 0.58152 |
| park visitors | 0.552189 |
| moderate-to-vigorous physical activity | 0.609502 |
| public health surveillance | 0.654402 |
| national public health | 0.553975 |
| Phys Act Health | 0.573328 |
| surveillance instrument | 0.591361 |
| SOPARC | 0.603409 |
| active park users | 0.58068 |
| park studies | 0.556878 |
| diverse park settings | 0.565228 |
| direct observation | 0.606781 |
| health surveillance instrument | 0.583098 |
| recreation centers | 0.574271 |
|
| direct observation instruments | 0.575614 |
| vigorous activity | 0.557247 |
| Albuquerque parks | 0.552803 |
| Columbus | 0.55333 |
| proportion | 0.555627 |
| city | 0.557871 |
| age group | 0.581002 |
| park physical activity | 0.600759 |
| different park areas | 0.5743 |
| park features | 0.576476 |
| population physical activity | 0.582987 |
| data collection tool | 0.5531 |
| health surveillance instruments | 0.564231 |
| park-based physical activity | 0.571225 |
| park characteristics | 0.563711 |
| reliable observation instrument | 0.558147 |
| data collection | 0.560023 |
| Chapel Hill | 0.751275 |
| physical activity | 0.931773 |
| national physical activity | 0.588984 |
| leisure-time physical activity | 0.607365 |
| New Mexico | 0.56662 |
| Risk Behavior Surveillance | 0.551864 |
| MVPA | 0.591566 |
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Pertussis | Whooping Cough | Prevention | Travelers | CDC |
null |
| Infection Control Practices | 0.549809 |
| Acellular Pertussis Vaccines | 0.85004 |
| Healthcare Personnel | 0.430383 |
| protection | 0.324333 |
| babies | 0.329271 |
| Reduced Diphtheria Toxoid | 0.904058 |
| Acellular Pertussis | 0.874682 |
| CDC. Updated Recommendations | 0.568416 |
| Td | 0.336372 |
| Immunization Practices | 0.598448 |
| Advisory Committee | 0.644243 |
| Vaccine Information Statements | 0.572231 |
| ACIP | 0.406599 |
|
| Tdap | 0.357188 |
| MMWR | 0.340172 |
| greater risk | 0.450792 |
| DTaP shots | 0.448448 |
| countries | 0.326617 |
| CDC. Preventing Tetanus | 0.642092 |
| bad case | 0.449822 |
| Tetanus Toxoid | 0.640848 |
| recommended pertussis vaccinations | 0.844923 |
| Travelers | 0.330846 |
| Adults | 0.322341 |
| departure | 0.338313 |
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Centers for Disease Control and Prevention |
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en |
Avoid Harmful Substances | CDC Features |
In honor of National Birth Defects Prevention Month, make a PACT to get healthy, physically and mentally, before and during pregnancy to increase your chances of having a healthy baby. Avoiding harmful home and workplace exposures is one important step. |
| early pregnancy | 0.383796 |
| basic health guidelines | 0.449622 |
| blood passes | 0.366754 |
| major birth defects | 0.531427 |
| healthy lifestyle | 0.375381 |
| safe time | 0.367752 |
| family members | 0.369112 |
| breastfeeding women | 0.371757 |
| pregnancy | 0.527304 |
| protective equipment | 0.366938 |
| reproductive health | 0.412058 |
| poor pregnancy outcomes | 0.443883 |
| Preconception care | 0.365763 |
| workplace health topics | 0.435598 |
| Share information | 0.370516 |
| direct birth | 0.387086 |
| best safety practices | 0.425461 |
| Evaluate Pregnancy | 0.376648 |
| best ways | 0.364397 |
| harmful exposures | 0.395657 |
| orofacial clefts | 0.430662 |
| Occupational Safety | 0.364418 |
| Birth Defects Research | 0.528163 |
| harmful substances | 0.457955 |
| premature birth | 0.389576 |
|
| preconception health | 0.373556 |
| health services | 0.367222 |
| smoking | 0.375589 |
| CDC funds | 0.419345 |
| folic acid | 0.460814 |
| umbilical cord | 0.365221 |
| lifelong physical | 0.364753 |
| National Institute | 0.36733 |
| CDC research | 0.373768 |
| Birth Defects Study | 0.527176 |
| best advice | 0.368005 |
| physical agents | 0.370327 |
| birth defects | 0.920478 |
| Birth Defects Prevention | 0.529796 |
| healthy baby | 0.502029 |
| alcohol spectrum disorders | 0.435233 |
| baby’s heath | 0.368907 |
| population-based tracking | 0.368557 |
| Infant Death Syndrome | 0.418005 |
| healthcare provider | 0.373118 |
| legal right | 0.370001 |
| baby’s health | 0.377608 |
| population-based methods | 0.369024 |
| specific exposures | 0.384824 |
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Centers for Disease Control and Prevention |
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2014-15 Flu Season |
FluVaxView vaccination coverage 2014-15 Influenza Season - CDC |
| influenza vaccination proportions | 0.832186 |
| state-level influenza vaccination | 0.961884 |
| influenza vaccination coverage | 0.841233 |
| Health Care Personnel | 0.624902 |
|
| interactive maps | 0.595433 |
| data tables | 0.588818 |
| general population | 0.5162 |
| bar charts | 0.591261 |
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Centers for Disease Control and Prevention |
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Relationship Between Abuse and Neglect in Childhood and Diabetes in Adulthood: Differential Effects By Sex, National Longitudinal Study of Adolescent Health |
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. |
| associations | 0.346057 |
| blood glucose | 0.39282 |
| child maltreatment events | 0.312529 |
| emotional abuse | 0.498147 |
| Washington University Center | 0.305711 |
| data | 0.321719 |
| child maltreatment variables | 0.40695 |
| blood glucose levels | 0.304444 |
| childhood maltreatment | 0.542524 |
| National Longitudinal Study | 0.304185 |
| Childhood physical abuse | 0.298924 |
| Add Health | 0.615095 |
| 3-category diabetes status | 0.334854 |
| co-occurring physical abuse | 0.290289 |
| sexual abuse data | 0.299985 |
| wave | 0.35761 |
| self-reported child abuse | 0.306098 |
| Washington University | 0.367775 |
| Health child maltreatment | 0.326398 |
| diabetes type | 0.305783 |
| childhood maltreatment incidents | 0.326095 |
| childhood sexual abuse | 0.460725 |
| BMI category | 0.396506 |
| nationally representative sample | 0.325712 |
|
| results | 0.285466 |
| obesity | 0.347434 |
| Add Health data | 0.303169 |
| neglect | 0.363397 |
| physical abuse | 0.4144 |
| recurrent sexual abuse | 0.334568 |
| child abuse | 0.38128 |
| body mass index | 0.357148 |
| Diabetes mellitus | 0.329837 |
| officially confirmed maltreatment | 0.311403 |
| 3-level diabetes status | 0.332392 |
| childhood financial insecurity | 0.302143 |
| previous Add Health | 0.297629 |
| sexual abuse | 0.99726 |
| nonfasting blood glucose | 0.324597 |
| child maltreatment | 0.799256 |
| Diabetes Translation Research | 0.378242 |
| Add Health Wave | 0.32102 |
| young adults | 0.310898 |
| Diabetes Translational Research | 0.327925 |
| American Diabetes Association | 0.379123 |
| diabetes | 0.782672 |
| diabetes status | 0.369254 |
|
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