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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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Less HPV Infections Mean Healthier Communities of Color | CDC Features |
Human papillomavirus (or HPV) causes several types of cancers, and some communities of color have higher levels of these HPV cancers. |
| HPV vaccine series | 0.533101 |
| HPV vaccination | 0.420168 |
| HPV vaccine visit | 0.389421 |
| HPV Cancer Screening | 0.363978 |
| Link Between HPV | 0.35211 |
| HPV website | 0.33016 |
|
| HPV vaccine | 0.731587 |
| HPV types | 0.340104 |
| cervical cancer | 0.34289 |
| HPV | 0.925642 |
| HPV infection | 0.517762 |
| HPV cancers | 0.398677 |
|
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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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Centers for Disease Control and Prevention |
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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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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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Centers for Disease Control and Prevention |
Html |
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2008 National Report on Biochemical Indicators of Diet and Nutrition - Table 5.5 |
null |
| Urinary enterodiol | 0.91858 |
| LOD | 0.349287 |
| µg/g creatinine | 0.214154 |
| greater uncertainty | 0.32212 |
| percentiles | 0.302077 |
| Mexican Americans | 0.289441 |
| Table | 0.326695 |
| non-hispanic whites | 0.279087 |
| Sample | 0.200077 |
| non-hispanic blacks | 0.284005 |
| urine concentrations | 0.430085 |
| Males | 0.312275 |
|
| Search Form Controls | 0.205308 |
| National Health | 0.427763 |
| conf. interval | 0.73633 |
| creatinine | 0.24 |
| Geometric mean | 0.730204 |
| small cell size | 0.464555 |
| uncorrected urine value | 0.315876 |
| Serum | 0.200904 |
| u.s. population | 0.461205 |
| page | 0.256321 |
| Nutrition Examination Survey | 0.670014 |
|
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Centers for Disease Control and Prevention |
Html |
es |
Respuesta de salud públicaal cambio climático |
El cambio climático amenaza la salud y el bienestar de los seres humanos en muchas formas. Averigüe qué están haciendo los CDC para la prevención de los efectos en la salud del cambio climático y la adaptación a estos efectos. |
| New York | 0.841195 |
| iniciativa ciudades | 0.590305 |
| Rhode Island | 0.576766 |
| Archivo Apple Quicktime | 0.715388 |
| Archivo RealPlayer | 0.598604 |
| Archivo Microsoft PowerPoint | 0.740272 |
| Archivo Adobe PDF | 0.71299 |
| posibles efectos | 0.698374 |
| trabajo brace | 0.618849 |
| diseña programas | 0.599356 |
| Archivo Microsoft | 0.978635 |
|
| Archivo Microsoft Word | 0.736666 |
| Archivo Texto | 0.588148 |
| New York City | 0.682537 |
| abundantes precipitaciones | 0.643351 |
| Iniciativa Estados | 0.587701 |
| Alaska Anchorage | 0.602626 |
| Archivo Zip Comprimido | 0.711421 |
| Archivo Microsoft Excel | 0.711559 |
| Salud Circumpolares | 0.698629 |
| única inversión | 0.604075 |
| vigilancia centinela | 0.597236 |
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Centers for Disease Control and Prevention |
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International Fetal Alcohol Spectrum Disorders Awareness Day- September 9, 2015 |
Alcohol use during pregnancy can cause a range of lifelong physical, behavioral, and intellectual disabilities known as fetal alcohol spectrum disorders (FASDs) (1). Alcohol use during pregnancy can also cause miscarriage, stillbirth, prematurity, and sudden infant death syndrome (2). During pregnancy, there is no known safe amount of alcohol use as well as no safe time and no safe type of alcohol to drink. |
| national partners | 0.575086 |
| endorsement | 0.478837 |
| Human Services | 0.685534 |
| evidence-based approaches | 0.569537 |
| Implementation Centers | 0.57438 |
| MMWR HTML versions | 0.697185 |
| U.S. Department | 0.680412 |
| brief counseling | 0.571758 |
| disorders | 0.431514 |
| identification | 0.454447 |
| electronic PDF version | 0.685085 |
| FASD Practice | 0.621358 |
| safe time | 0.594316 |
| Contact GPO | 0.59729 |
| pregnancy | 0.591002 |
| commercial sources | 0.56544 |
| alcohol screening | 0.731629 |
| current prices | 0.55915 |
| original paper copy | 0.69507 |
| fetal alcohol spectrum | 0.941997 |
| FASD Awareness | 0.629408 |
| prematurity | 0.444223 |
| U.S. Government Printing | 0.69977 |
| original MMWR paper | 0.6914 |
|
| Superintendent | 0.43238 |
| range | 0.431623 |
| MMWR readers | 0.570429 |
| character translation | 0.557235 |
| intellectual disabilities | 0.595419 |
| sudden infant death | 0.756398 |
| syndrome | 0.431189 |
| lifelong physical | 0.600002 |
| FASDs | 0.509712 |
| format errors | 0.560474 |
| reminder | 0.43052 |
| miscarriage | 0.442057 |
| best advice | 0.577984 |
| typeset documents | 0.567082 |
| systems-level practice changes | 0.743293 |
| trade names | 0.565562 |
| Healthcare professionals | 0.572047 |
| official text | 0.555281 |
| http://www.cdc.gov/ncbddd/fasd/training.html | 0.429436 |
| non-CDC sites | 0.562941 |
| safe type | 0.594134 |
| information | 0.487227 |
| electronic conversions | 0.554911 |
| printable versions | 0.550626 |
|
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Centers for Disease Control and Prevention |
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Standards for Adult Immunization Practices |
Standards for Adult Immunization Practice. ALL healthcare professionals – whether they provide vaccinations or not – should ensure their adult patients are fully immunized. |
| American Medical Association | 0.349466 |
| Size | 0.335573 |
| tips | 0.286045 |
| vaccine referral options | 0.382564 |
| new standards | 0.362131 |
| vaccine administration | 0.317068 |
| Vaccine Advisory Committee | 0.575109 |
| National Vaccine Advisory | 0.566709 |
| Address patient questions | 0.366375 |
| vaccination practice | 0.31287 |
| immunization program | 0.399378 |
| latest CDC recommendations | 0.372038 |
| evidence-based strategies | 0.283588 |
| practice standard | 0.422458 |
| n’t stock | 0.288581 |
| health care professionals | 0.352015 |
| Adult Vaccinations | 0.294077 |
| patients | 0.555632 |
| Patients trust | 0.304515 |
| complete list | 0.289298 |
| standards | 0.402066 |
| Team-Based Immunization | 0.403407 |
| Immunization Summit site | 0.487223 |
| potential costs | 0.293481 |
| Adult Immunization Practice | 0.986017 |
|
| immunization registry | 0.424424 |
| color | 0.336083 |
| vaccines | 0.416855 |
| importance | 0.29921 |
| fact sheets | 0.286076 |
| strongly recommending vaccines | 0.393723 |
| CME credits | 0.281117 |
| vaccine referral | 0.410608 |
| immunization providers | 0.416552 |
| Implement protocols | 0.294291 |
| adult patients | 0.426849 |
| vaccine needs assessment | 0.387906 |
| National Adult | 0.29992 |
| Factsheet | 0.294286 |
| healthcare professionals | 0.345152 |
| Immunization Information Systems | 0.454933 |
| adult vaccination | 0.357825 |
| Immunization Action Coalition | 0.462395 |
| Refer patients | 0.307978 |
| best advice | 0.288713 |
| resources | 0.293318 |
| healthcare provider organizations | 0.363645 |
| Highlight positive experiences | 0.368891 |
| Vaccine-preventable diseases | 0.289444 |
|
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