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Centers for Disease Control and Prevention |
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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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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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CDC reports uneven declines in coronary heart disease by state and race/ethnicity - Press Release: October 13, 2011 |
CDC reports uneven declines in coronary heart disease by state and race/ethnicity |
| Mortality Weekly Report | 0.371985 |
| M.D. | 0.225245 |
| heart disease prevalence | 0.485126 |
| high blood cholesterol | 0.358046 |
| number | 0.241102 |
| high cholesterol | 0.281558 |
| Disease Control | 0.309208 |
| Hearts visit http://millionhearts.hhs.gov/about–mh.shtml | 0.329442 |
| decline | 0.23043 |
| Hearts national initiative | 0.340568 |
| lower respiratory diseases | 0.343493 |
| Jing Fang | 0.275536 |
| Americans | 0.317727 |
| patients | 0.226411 |
| health providers | 0.276008 |
| high risk populations | 0.356725 |
| state coronary heart | 0.402842 |
| phone survey | 0.287025 |
| MMWR report | 0.278508 |
| coronary heart disease. | 0.425235 |
| heart attack | 0.313187 |
| Factor Surveillance | 0.282043 |
| highest levels | 0.276901 |
| HUMAN SERVICES | 0.272122 |
| geographic differences | 0.273766 |
|
| heart attacks | 0.335346 |
| high blood pressure | 0.471637 |
| United States | 0.361728 |
| African Americans | 0.299731 |
| percent | 0.32442 |
| certain groups | 0.269511 |
| American Indians/Alaskan Natives | 0.478553 |
| West Virginia | 0.278373 |
| U.S. DEPARTMENT | 0.272201 |
| CDC′s Division | 0.272052 |
| cardiovascular disease | 0.29839 |
| higher risk | 0.270602 |
| CDC′s Behavioral Risk | 0.357926 |
| strokes | 0.227812 |
| Stroke Prevention | 0.270768 |
| clinical care | 0.275168 |
| uncontrolled high blood | 0.460951 |
| highest rates | 0.278057 |
| people | 0.25708 |
| Southern states | 0.277948 |
| chest pain | 0.284803 |
| Thomas R. Frieden | 0.346506 |
| older adults | 0.34341 |
| new report | 0.298019 |
|
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Centers for Disease Control and Prevention |
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Global Health - South Africa - CDC's Global Disease Detection Programs in South Africa |
The South Africa Regional Global Disease Detection Centre (SARGDDC) builds global health security by enhancing capacity in South Africa to detect and respond to infectious disease threats through surveillance, workforce development, and public health research and response. |
| Global Disease Detection | 0.568526 |
| control influenza | 0.491548 |
| infectious disease threats | 0.563693 |
| supervised work experience | 0.51046 |
| Influenza Reference Laboratory | 0.587331 |
| Disease Control | 0.46022 |
| Africa’s capacity | 0.478534 |
| IHR capacity building | 0.560689 |
| zoonotic disease surveillance | 0.605847 |
| South Africa Field | 0.601397 |
| enhanced surveillance | 0.505887 |
| Health Program | 0.707939 |
| National Health Laboratory | 0.616159 |
| infectious disease outbreaks | 0.537066 |
| evidence-based policy decisions | 0.499999 |
| public health expertise | 0.562106 |
| wide variety | 0.524805 |
| neurologic disease surveillance | 0.60384 |
| early warning systems | 0.495532 |
| synergistic program components | 0.543134 |
| laboratory systems | 0.438781 |
| CDC’s Division | 0.451736 |
| CDC core expertise | 0.552432 |
| South Africa | 0.902481 |
| laboratory surveillance | 0.495402 |
|
| Biological Engagement Program | 0.574112 |
| global health security | 0.611455 |
| Health spectrum | 0.453749 |
| strong regional partners | 0.503249 |
| Epidemiology Training Program | 0.620299 |
| Emerging Infections Program | 0.585679 |
| rapid response activities | 0.508682 |
| public health threats | 0.588496 |
| surveillance systems | 0.516127 |
| public health capacities | 0.59386 |
| public health | 0.822228 |
| South Africa Regional | 0.612266 |
| infection control practices | 0.512809 |
| National Institute | 0.44029 |
| National Influenza Center | 0.59155 |
| public health importance | 0.589496 |
| South Africa NDoH | 0.585674 |
| sentinel surveillance | 0.488755 |
| Influenza Program | 0.713281 |
| South African government | 0.518661 |
| public health capacity | 0.663811 |
| South Africa National | 0.602216 |
| NICD | 0.442427 |
| 2-year training program | 0.573109 |
|
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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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| 11213 |
Centers for Disease Control and Prevention |
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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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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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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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Protect Your Hearing, Promote Hearing Health | CDC Features |
October is National Protect Your Hearing Month. Find out if noise at your workplace is affecting your hearing and learn how to prevent noise-induced hearing loss. Monitor noise levels and protect your hearing.
|
| noise exposure level | 0.649933 |
| HPD performance | 0.471644 |
| occupational hearing loss | 0.790496 |
| hearing protectors | 0.614063 |
| Monitor noise levels | 0.668869 |
| loud noise | 0.604447 |
| hazardous noise exposure | 0.664411 |
| hearing disorders | 0.64489 |
| overall level | 0.464075 |
| sound level meter | 0.614636 |
| cardiovascular health risks | 0.510729 |
| National Protect | 0.519452 |
| noise level increases | 0.649956 |
| Hearing Loss Prevention | 0.805206 |
| quick screening methods | 0.507537 |
| common work-related illnesses | 0.523693 |
| work-related hearing loss | 0.66815 |
| NIOSH HPD Well-Fitâ„¢ | 0.542382 |
| U.S. workers | 0.472818 |
| complete noise survey | 0.643449 |
| regular science blogs | 0.498455 |
| noise-induced hearing loss | 0.805652 |
| hearing loss | 0.990057 |
| noise exposure | 0.779866 |
| noise levels | 0.78741 |
|
| Protector Device Compendium | 0.496822 |
| United States | 0.465899 |
| dangerous noise exposures | 0.627276 |
| Loss Prevention programs | 0.510683 |
| Endocrine disrupters | 0.459861 |
| Audiometric evaluation | 0.461304 |
| constant noise | 0.586958 |
| abrupt starts | 0.45944 |
| noise | 0.816586 |
| Ototoxic chemicals | 0.459844 |
| level meter app | 0.518956 |
| loss prevention program | 0.595252 |
| Certain biological factors | 0.498411 |
| comprehensive searchable database | 0.499162 |
| noise exposures | 0.653366 |
| smartphone sound level | 0.620669 |
| HPD Well-FitTM | 0.472106 |
| NIOSH Science Blog | 0.539326 |
| level meter apps | 0.51859 |
| sound measurement apps | 0.513997 |
| Impulsiveness – noises | 0.464425 |
| hearing protection devices | 0.662702 |
| NIOSH Hearing Loss | 0.706491 |
| high economic price | 0.513723 |
|
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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 |
|
CLICK HERE |