| 717 |
Centers for Disease Control and Prevention |
Html |
en |
HIV Testing and Risk Behaviors Among Gay, Bisexual, andOther Men Who Have Sex with Men - United States |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| discordant anal sex | 0.771194 |
| sexually active msm | 0.385378 |
| receive HIV care | 0.221897 |
| MSM attempt | 0.203463 |
| HIV-infected MSM | 0.202805 |
| HIV-negative MSM | 0.511633 |
| HIV-positive unaware MSM | 0.297731 |
| HIV-positive MSM receive | 0.331604 |
| National HIV Surveillance | 0.200991 |
| High HIV prevalence | 0.205459 |
| unprotected anal sex | 0.714846 |
| new HIV diagnoses | 0.202276 |
| percentage | 0.227595 |
| HIV status | 0.5939 |
| unknown status MSM | 0.324738 |
| anal sex | 0.997812 |
| HIV risk behaviors | 0.240417 |
| HIV-positive MSM | 0.508695 |
|
| HIV transmission | 0.202121 |
| unknown HIV status | 0.39984 |
| positive HIV test | 0.336968 |
| HIV Behavioral Surveillance | 0.360845 |
| HIV test result | 0.492355 |
| MSM | 0.876952 |
| HIV test | 0.571599 |
| National HIV Behavioral | 0.363135 |
| MSM cycle | 0.221725 |
| MSM receive HIV | 0.391032 |
| HIV | 0.913306 |
| HIV testing | 0.391567 |
| human immunodeficiency virus | 0.235257 |
| HIV testing history | 0.262346 |
| HIV infection | 0.245537 |
| unaware MSM | 0.313725 |
| self-reported HIV-positive MSM | 0.349457 |
|
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| 5856 |
Centers for Disease Control and Prevention |
Html |
en |
o-Methylcyclohexanone - 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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| 6673 |
Centers for Disease Control and Prevention |
Html |
en |
Chronic Diseases in Male Veterans With Multiple Sclerosis |
Chronic disease risk may be high in people with multiple sclerosis (MS). Our objective was to identify chronic health conditions that may disproportionately affect male veterans with MS. |
| data | 0.526924 |
| non-MS groups | 0.477542 |
| general population literature | 0.498267 |
| chronic health conditions | 0.483744 |
| Risk Factor Surveillance | 0.480244 |
| general population | 0.779742 |
| Health Services Research | 0.474594 |
| hypercholesterolemia | 0.590117 |
| Veterans Health Administration | 0.502477 |
| general population comparison | 0.488035 |
| Chronic disease risk | 0.494034 |
| stroke regression model | 0.474647 |
| Hines VA Hospital | 0.504699 |
| health care | 0.517862 |
| MS group | 0.480615 |
| chronic diseases | 0.582505 |
| MS duration | 0.482923 |
| MS | 0.85038 |
| general medical literature | 0.510354 |
| comparison groups | 0.557608 |
| general veteran population | 0.821813 |
| white male veterans | 0.50684 |
| American male veterans | 0.506874 |
|
| chronic disease epidemiology | 0.484501 |
| Veterans Benefits Department | 0.491013 |
| MS diagnosis | 0.555119 |
| people | 0.512425 |
| stroke | 0.499424 |
| disease prevalence data | 0.497123 |
| comorbid diabetes | 0.474518 |
| widowed male veterans | 0.535985 |
| VA health care | 0.481255 |
| MS vs men | 0.532212 |
| male veterans | 0.966373 |
| MS cohort | 0.52183 |
| chronic disease priorities | 0.508464 |
| MS diagnosis date | 0.503253 |
| chronic drinkers | 0.491372 |
| chronic disease | 0.765541 |
| male general population | 0.507935 |
| coronary heart disease | 0.60145 |
| chronic disease prevalence | 0.682353 |
| Behavioral Risk Factor | 0.481512 |
| hypertension | 0.557924 |
| diabetes | 0.548004 |
| MS population | 0.488849 |
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| 7028 |
Centers for Disease Control and Prevention |
Html |
en |
Section 103 of the Tobacco Control Act - Conforming and Other Amendments to General Provisions |
null |
| U.S.C. | 0.356664 |
| express written consent | 0.344805 |
| section | 0.796236 |
| act | 0.434547 |
| Civil Monetary Penalties | 0.3516 |
| counterfeit tobacco product | 0.490113 |
| package label requirements | 0.441549 |
| Tobacco Product Requirements | 0.38807 |
| devices | 0.378887 |
| violations | 0.374101 |
| Federal Meat Inspection | 0.376932 |
| tobacco products | 0.77076 |
| civil money penalties | 0.425404 |
| States tobacco product | 0.380442 |
| person | 0.37053 |
| violation | 0.49692 |
| following | 0.373767 |
| civil penalty | 0.419251 |
| single proceeding | 0.425576 |
| public health impact | 0.380061 |
| device | 0.454882 |
| Meat Inspection Act | 0.377475 |
| training program | 0.34322 |
| negative public health | 0.379008 |
| paragraph | 0.386295 |
|
| subsection | 0.56767 |
| field office | 0.353692 |
| Secretary | 0.400197 |
| United States | 0.378781 |
| written notice | 0.343897 |
| Drug Administration | 0.546536 |
| particular retail outlet | 0.458451 |
| no-tobacco-sale order | 0.56367 |
| public health implications | 0.342527 |
| minimum age requirements | 0.343089 |
| civil monetary penalty | 0.350626 |
| term | 0.426218 |
| place | 0.350491 |
| Cosmetic Act | 0.422049 |
| 30-day period | 0.419123 |
| effective date | 0.35613 |
| individual retail outlet | 0.349868 |
| tobacco product | 0.946926 |
| Special Effective Date | 0.346311 |
| retailer | 0.354175 |
| Federal Food | 0.417812 |
| tobacco product. | 0.357261 |
| tribal restricted fee | 0.342388 |
| followup compliance check | 0.343712 |
|
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| 7272 |
Centers for Disease Control and Prevention |
Html |
en |
Partner Success Stories - Seasonal Influenza (Flu) |
National Influenza Vaccination Partnerships Partner Success Stories - CDC |
| elementary school students | 0.537722 |
| CDC | 0.210527 |
| at-risk Americans. | 0.366356 |
| National Foundation | 0.331904 |
| influenza vaccination coverage | 0.708384 |
| childhood immunization barriers | 0.533036 |
| flu vaccines | 0.770282 |
| school-based program | 0.355493 |
| Disease Control | 0.332151 |
| best protection | 0.344858 |
| national non-profit organization | 0.52989 |
| flu vaccination | 0.794011 |
| Santa Rosa County | 0.502332 |
|
| Vote | 0.217525 |
| Walgreens Pharmacy | 0.415824 |
| Vax organization | 0.435829 |
| influenza vaccinations | 0.616114 |
| flu vaccinations | 0.805628 |
| Wildwood New Jersey | 0.61437 |
| Cape May County | 0.36749 |
| School program | 0.349845 |
| National Association | 0.330778 |
| influenza awareness | 0.488032 |
| flu shot | 0.974867 |
| large patient base | 0.560347 |
| Infectious Diseases | 0.333027 |
|
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| 10734 |
Centers for Disease Control and Prevention |
Html |
en |
Radon - Health Communication |
Gateway to Health Communication and Social Marketing Practice - Radon |
| seller | 0.434238 |
| health risk | 0.463007 |
| overall damage | 0.462839 |
| frequent smoker | 0.460808 |
| lung tissue | 0.495661 |
| Janelle | 0.447225 |
| tester | 0.423701 |
| radon mitigation contractor | 0.680369 |
| State Radon Contact | 0.694454 |
| lung cancer | 0.851781 |
| natural form | 0.470601 |
| radon mitigations/reductions | 0.643699 |
| extended period | 0.466043 |
| Health effects | 0.465145 |
| homes | 0.425316 |
| home improvement stores/center | 0.513917 |
| state radon office | 0.684645 |
| igneous rock | 0.47764 |
| Brian | 0.451498 |
| health problems | 0.472617 |
| José | 0.431093 |
| radon exposure | 0.848434 |
| average annual dose | 0.526567 |
| radon mitigation | 0.690645 |
|
| state radon | 0.695729 |
| Environmental Protection Agency | 0.524863 |
| radon | 0.991585 |
| basement | 0.455809 |
| new home | 0.46267 |
| United States | 0.471908 |
| high levels | 0.516443 |
| natural sources | 0.467873 |
| house | 0.47423 |
| electrical power | 0.475094 |
| large doses | 0.472576 |
| breathing outdoor air | 0.525039 |
| smaller doses | 0.471308 |
| discounted test kits | 0.516172 |
| Rachel | 0.423634 |
| beneficial uses | 0.475244 |
| radon measurement | 0.64388 |
| greater opportunity | 0.467317 |
| lung cancer deaths | 0.57067 |
| nearby neighborhood | 0.461392 |
| colorless radioactive gas | 0.538474 |
| radiation | 0.47387 |
| Routine exposure | 0.487184 |
| harmful levels | 0.47069 |
|
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| 11476 |
Centers for Disease Control and Prevention |
Html |
en |
NCIRD | DBD Bulletin Winter 2012 | Quarter 4 News |
Division of Bacterial Diseases Bulletin Winter |
| pneumococcal conjugate vaccines | 0.591058 |
| CDC | 0.605867 |
| 13-valent pneumococcal conjugate | 0.583692 |
| European Antibiotic Awareness | 0.731489 |
| good antibiotic stewardship | 0.742702 |
| antibiotic use campaigns | 0.702924 |
| pregnant women | 0.596649 |
| antibiotic effectiveness | 0.694937 |
| Dr. Rasmata | 0.587972 |
| antibiotic resources | 0.689874 |
| pneumococcal conjugate vaccine | 0.671841 |
| National Health Organizations | 0.600886 |
| World Health Organization | 0.604517 |
| diphtheria toxoid-acellular pertussis | 0.616187 |
| Smart About Antibiotics | 0.634237 |
| vaccine effectiveness | 0.621646 |
| Leonard Mayer | 0.590916 |
| global partners | 0.589666 |
| DBD subject matter | 0.609902 |
| antibiotic awareness | 0.761405 |
| Infectious Diseases | 0.607294 |
| CDC Legionella Lab | 0.601535 |
| vaccine effectiveness studies | 0.608388 |
| seasonal immunization campaign | 0.58583 |
| Health Group Poll | 0.61291 |
|
| public health implications | 0.591669 |
| Pew Health Group | 0.679334 |
| antibiotic resistance | 0.905963 |
| DTaP vaccine effectiveness | 0.606273 |
| DBD highlights | 0.593427 |
| meningococcal conjugate vaccination | 0.590124 |
| Rana Hajjeh | 0.614299 |
| CDC Connects article | 0.600593 |
| Annual World Pneumonia | 0.594283 |
| global health emergency | 0.606665 |
| antibiotic stewardship | 0.764466 |
| antibiotic prescribing practices | 0.704884 |
| new 5-week television | 0.586138 |
| post vaccine evaluations | 0.603149 |
| meningococcal A disease | 0.589463 |
| Burkina Faso | 0.649743 |
| Antibiotics Work campaign | 0.634476 |
| antimicrobial resistance threats | 0.584066 |
| Health Association Annual | 0.598248 |
| life-saving vaccine introduction—lessons | 0.600116 |
| laboratory medicine | 0.597887 |
| Canada Antibiotic Awareness | 0.733913 |
| life-saving vaccine | 0.607686 |
| universal vaccine introduction | 0.601031 |
|
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| 11557 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Self-Reported Physical Activity Among Middle-Aged Cancer Survivors in the United States: Behavioral Risk Factor Surveillance System Survey, 2009 - CDC |
Regular physical activity (PA) can improve health outcomes in cancer survivors, but the rate of adherence to PA recommendations among middle-aged survivors is unclear. We examined adherence to PA recommendations among cancer survivors and controls. We sought to identify correlates of adherence to PA and to determine whether PA adherence is associated with health-related quality of life (HRQOL) among cancer survivors. |
| cancer treatment | 0.371363 |
| high school | 0.358395 |
| sedentary cancer survivors | 0.503606 |
| mental health | 0.401318 |
| poor physical health | 0.385078 |
| meeting PA guidelines | 0.369839 |
| middle-aged cancer survivors | 0.449662 |
| control subjects | 0.438407 |
| long-term cancer survivors | 0.41183 |
| PA adherence | 0.549356 |
| vigorous-intensity PA | 0.397692 |
| PA levels | 0.351659 |
| initial cancer treatment | 0.367135 |
| sedentary survivors | 0.411979 |
| PA adherence category | 0.391149 |
| previous studies | 0.372153 |
| diverse cancer types | 0.354192 |
| Cancer Survivorship Research | 0.35717 |
| health-related quality | 0.354153 |
| somewhat active survivors | 0.401623 |
| American breast cancer | 0.357202 |
| poor mental health | 0.384965 |
| cancer diagnosis | 0.373984 |
| suboptimal PA adherence | 0.389064 |
| breast cancer survivors | 0.479794 |
|
| moderate-intensity PA | 0.397715 |
| PA guidelines | 0.606449 |
| Male survivors | 0.378913 |
| regular physical activity | 0.367865 |
| cancer survivors | 0.955133 |
| clinical factors | 0.352065 |
| HRQOL | 0.378018 |
| cancer type | 0.3736 |
| United States | 0.368292 |
| Anderson Cancer Center | 0.373538 |
| poor overall health | 0.358738 |
| female survivors | 0.378776 |
| survivor adherence | 0.350496 |
| University Cancer Foundation | 0.35779 |
| PA recommendations | 0.488452 |
| emotional support | 0.38253 |
| PA intervention program | 0.354714 |
| MD Anderson Cancer | 0.373358 |
| comorbidity count | 0.362615 |
| design PA interventions | 0.362268 |
| middle-aged survivors | 0.393888 |
| PA | 0.675203 |
| multivariable linear regression | 0.395444 |
| multinomial logistic regression | 0.364975 |
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| 12304 |
Centers for Disease Control and Prevention |
Html |
null |
Preventing Chronic Disease | Effect of Cause-of-DeathTraining on Agreement Between Hospital Discharge Diagnoses andCause of Death Reported, Inpatient Hospital Deaths, New York City,2008-2010 - CDC |
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. |
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| 14060 |
Centers for Disease Control and Prevention |
Html |
en |
Facts about Microcephaly |
CDC works to identify causes of birth defects and opportunities to prevent them. By applying a public health approach incorporating three essential elements—surveillance or disease tracking, research to identify causes, and prevention research and programs—we can rapidly translate scientific findings into appropriate public health interventions. |
| CDC | 0.393728 |
| smaller brains | 0.38308 |
| Zika virus | 0.412961 |
| Teratology Information Specialists | 0.409551 |
| Disease Control | 0.373235 |
| major birth defects | 0.522668 |
| newborn baby | 0.423743 |
| microcephaly ranges | 0.705036 |
| health care providers | 0.408141 |
| birth head circumference | 0.483341 |
| National Center | 0.373202 |
| circumference growth charts | 0.553641 |
| copyright restrictions | 0.369184 |
| pregnancy | 0.496119 |
| birth defects diagnosis | 0.440465 |
| severe their microcephaly | 0.745289 |
| baby’s brain | 0.481802 |
| condition | 0.368785 |
| live births | 0.415691 |
| ultrasound test | 0.411882 |
| public domain | 0.372017 |
| State birth | 0.378735 |
| head circumference | 0.814014 |
| healthcare provider look | 0.40984 |
|
| problems | 0.375683 |
| head circumference measurement | 0.478073 |
| common condition | 0.368613 |
| magnetic resonance imaging | 0.406636 |
| severe microcephaly | 0.949163 |
| United States | 0.418876 |
| babies | 0.584356 |
| Zika virus infection | 0.407968 |
| regular check-ups | 0.371474 |
| Head circumference growth | 0.560687 |
| head circumference measurements | 0.470131 |
| small head size | 0.418566 |
| following problems | 0.368837 |
| visit CDC | 0.370735 |
| CDC’s growth | 0.374557 |
| CDC scientists | 0.375278 |
| private usage | 0.369867 |
| smaller head size | 0.448988 |
| birth defects | 0.619155 |
| severe fetal brain | 0.447557 |
| healthy baby | 0.377695 |
| measurement value | 0.404576 |
| healthcare provider | 0.528396 |
| baby | 0.57079 |
|
CLICK HERE |