| 649 |
Centers for Disease Control and Prevention |
Html |
en |
Adult Data - Smoking & Tobacco Use |
null |
| email updates | 0.823672 |
| MPEG | 0.345912 |
| Tobacco | 0.486531 |
| PDF | 0.279145 |
|
| PPT | 0.391665 |
| email address | 0.807714 |
| DOC | 0.339595 |
| different file formats | 0.969515 |
|
CLICK HERE |
| 5510 |
Centers for Disease Control and Prevention |
Html |
en |
Phosphorus (yellow) - 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 |
|
CLICK HERE |
| 5922 |
Centers for Disease Control and Prevention |
Html |
en |
o-Nitrotoluene - 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 |
|
CLICK HERE |
| 6597 |
Centers for Disease Control and Prevention |
Html |
en |
Surveillance for Chronic Hepatitis B Virus Infection - New York City, June 2008-November 2009 |
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. |
| chronic HBV patients | 0.639618 |
| newly reported patients | 0.329966 |
| chronic HBV population | 0.44802 |
| hepatitis B virus | 0.300361 |
| acute HBV | 0.432159 |
| enhanced HBV surveillance | 0.455102 |
| New York City | 0.400913 |
| high HBV prevalence | 0.442568 |
| HBV testing | 0.58734 |
| HBV infection surveillance | 0.472579 |
| vaccination status | 0.42683 |
| newly-reported HBV patients | 0.478499 |
| commonly reported reason | 0.357176 |
| NYC clinicians | 0.313465 |
| clinicians | 0.586804 |
| HBV transmission | 0.408376 |
| birth country | 0.466348 |
| hepatitis A vaccination | 0.321206 |
| HBV | 0.979922 |
| enhanced surveillance | 0.299507 |
| random sample | 0.305075 |
| HBV surveillance | 0.58312 |
| HBV surveillance database | 0.546195 |
| risk factors | 0.344207 |
| newly reported cases | 0.314309 |
|
| limited hepatitis surveillance | 0.301041 |
| HBV test results | 0.473828 |
| DOHMH staff members | 0.328423 |
| liver function test | 0.320672 |
| chronic HBV infection | 0.818163 |
| HBV infection status | 0.495096 |
| confirmed chronic HBV | 0.467339 |
| relevant clinicians | 0.305888 |
| function test results | 0.321826 |
| HBV prevalence | 0.506889 |
| HBV core antigen.* | 0.47493 |
| randomly selected HBV | 0.494646 |
| HBV DNA | 0.45964 |
| health departments | 0.306197 |
| HBV patients | 0.652631 |
| chronic HBV | 0.820352 |
| staff members | 0.329461 |
| elevated liver function | 0.320119 |
| positive HBV test | 0.63336 |
| HBV screening | 0.421713 |
| chronic hepatitis | 0.324598 |
| HBV infection | 0.904882 |
| chronic HBV surveillance | 0.527085 |
| close contacts | 0.306384 |
|
CLICK HERE |
| 7004 |
Centers for Disease Control and Prevention |
Html |
en |
Section 3 of the Tobacco Control Act - Purpose |
null |
| et seq. | 0.408422 |
| effective oversight | 0.399259 |
| tobacco-related diseases | 0.392632 |
| U.S.C. | 0.319366 |
| adults | 0.315892 |
| Drug Administration | 0.690386 |
| young people | 0.400767 |
| disease risk | 0.386933 |
| distribution | 0.319195 |
| issues | 0.317892 |
| research | 0.32921 |
| illicit trade | 0.394329 |
| division | 0.319131 |
| national standards | 0.399147 |
| harmful components | 0.401029 |
| conjunction | 0.316876 |
| identity | 0.317439 |
| safety | 0.316158 |
| particular concern | 0.402098 |
| dependence | 0.321272 |
| ingredients | 0.31695 |
|
| Cosmetic Act | 0.407712 |
| tobacco product manufacturers | 0.576388 |
| dependency effects | 0.393063 |
| tar | 0.318775 |
| public disclosure | 0.399102 |
| flexible enforcement authority | 0.496265 |
| appropriate regulatory controls | 0.45767 |
| public health officials | 0.476151 |
| Federal Food | 0.403781 |
| respect | 0.320015 |
| tobacco industry | 0.573726 |
| tobacco products | 0.979723 |
| marketing | 0.319216 |
| sale | 0.315924 |
| Federal regulatory authority | 0.515324 |
| future | 0.316222 |
| social costs | 0.385155 |
| cessation | 0.317749 |
| purchasers | 0.320228 |
| harmful tobacco products | 0.596546 |
|
CLICK HERE |
| 7620 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Kenya - Blog: Putting Nomadic Pastoralists on the Map |
null |
| existing data sources | 0.477779 |
| census data | 0.595299 |
| pastoralist movement | 0.408136 |
| civil conflict figure | 0.459282 |
| routine services | 0.41097 |
| Global Immunization Division | 0.522556 |
| clinical services | 0.408893 |
| culturally familiar context | 0.485946 |
| health care providers | 0.845629 |
| health care access | 0.532328 |
| previously unrecorded locations | 0.473307 |
| health care services | 0.696649 |
| health facilities | 0.446397 |
| mobile groups | 0.409157 |
| polio cases | 0.436477 |
| U.S. CDC-Kenya Office | 0.521608 |
| Google Earth imagery | 0.462723 |
| nomadic pastoralists | 0.627251 |
| polio surveillance | 0.430005 |
| Mobile populations | 0.41152 |
| urgent health needs | 0.542706 |
| Lab Training Program | 0.510338 |
| smaller livestock | 0.4116 |
| human health providers | 0.527118 |
| northern Nigeria | 0.553467 |
|
| Nigeria Field Epidemiology | 0.561963 |
| nomadic groups | 0.449644 |
| pastoralist children | 0.419023 |
| grazing area | 0.407524 |
| sedentary populations | 0.408977 |
| Health care systems | 0.572041 |
| pastoralist districts | 0.411192 |
| Nomads Project | 0.414115 |
| polio immunization coverage | 0.528422 |
| nomadic pastoralist tribes | 0.555785 |
| Kenyan agricultural expert | 0.469366 |
| traditional nomadic routes | 0.536573 |
| health care | 0.980386 |
| recurrent seasonal migration | 0.478801 |
| District Production Livestock | 0.478368 |
| health education opportunities | 0.521829 |
| KENYA BLOG | 0.462695 |
| polio virus | 0.439399 |
| veterinary health providers | 0.527543 |
| NGO partners | 0.408455 |
| grazing areas | 0.498164 |
| Dr. Chris Ajele | 0.469022 |
| public health challenge | 0.523774 |
| bilateral government | 0.408139 |
|
CLICK HERE |
| 10925 |
Centers for Disease Control and Prevention |
Html |
en |
Effectiveness of Interventions to Increase Cancer Screening |
The Community Preventive Services Task Force published updated findings on the effectiveness of nine interventions aimed at increasing screening for breast, cervical, and colorectal cancers. |
| screening | 0.825295 |
| evidence | 0.702476 |
| Vernon SW | 0.484647 |
| Health professionals | 0.491296 |
| client incentives | 0.498477 |
| lay people | 0.48984 |
| one-on-one education | 0.643519 |
| medical office | 0.490363 |
| sufficient evidence | 0.586064 |
| structural barriers | 0.519999 |
| different settings | 0.490959 |
| colorectal cancer screening | 0.79436 |
| insufficient evidence | 0.585195 |
| health advisor | 0.489435 |
| Preventive Services Task | 0.750152 |
| Wilson KM | 0.482698 |
| Melvin CL | 0.488376 |
| colorectal cancer | 0.856728 |
| client reminders | 0.787952 |
| cervical cancer screening | 0.749418 |
| mass media | 0.495716 |
| cervical cancers | 0.520315 |
| telephone messages | 0.485305 |
| American Journal | 0.484797 |
| group education | 0.6356 |
|
| Rimer BK | 0.495965 |
| colorectal cancers | 0.650045 |
| Preventive Medicine. | 0.505873 |
| Mercer SL | 0.48551 |
| group members | 0.494349 |
| provider incentives | 0.494362 |
| Sabatino SA | 0.489436 |
| blood testing | 0.502669 |
| public health care | 0.589479 |
| strong evidence | 0.617647 |
| teaching aids | 0.493319 |
| suffıcient evidence | 0.631728 |
| breast cancer | 0.51161 |
| Services Task Force | 0.733804 |
| community setting | 0.493461 |
| one-on-one education increases | 0.611101 |
| provider assessment | 0.493201 |
| recipient’s characteristics | 0.489913 |
| out-of-pocket costs | 0.497968 |
| Community Preventive Services | 0.987048 |
| telephone reminders | 0.521448 |
| Community Guide | 0.506322 |
| systematic reviews | 0.483978 |
| FOBT screening | 0.71029 |
|
CLICK HERE |
| 13147 |
Centers for Disease Control and Prevention |
Html |
en |
Sudden Unexpected Infant Death (SUID) and SuddenInfant Death Syndrome (SIDS) - SIDS and SUID - ReproductiveHealth |
null |
| complete autopsy | 0.571558 |
| different ways | 0.547573 |
| SUID cases | 0.538322 |
| SIDS | 0.722993 |
| data | 0.427581 |
| United States | 0.697187 |
| Reproductive Health | 0.544661 |
| sudden unexpected infant | 0.927912 |
| soft bedding—for example | 0.673948 |
| death scene | 0.669256 |
| strangulation | 0.428508 |
| Unknown cause | 0.581276 |
| sudden death | 0.729196 |
| syndrome | 0.430569 |
| review | 0.429987 |
| CDC resources | 0.553607 |
| examination | 0.428392 |
| jurisdictions | 0.46533 |
| nose | 0.430321 |
| circumstances | 0.46444 |
|
| types | 0.432457 |
| clinical history | 0.563574 |
| infants | 0.476151 |
| overlay | 0.433456 |
| sleep-related infant deaths | 0.817366 |
| strategies | 0.427504 |
| infant deaths | 0.84344 |
| future deaths | 0.582817 |
| people | 0.427119 |
| SUIDs | 0.461642 |
| SUID trends | 0.541441 |
| thorough investigation | 0.700179 |
| mouth | 0.429668 |
| tests | 0.427698 |
| matters | 0.427138 |
| Accidental suffocation | 0.642777 |
| activities | 0.427213 |
| pillow | 0.43146 |
| parts | 0.42879 |
| age | 0.465276 |
|
CLICK HERE |
| 13442 |
Centers for Disease Control and Prevention |
Html |
en |
CDC's Healthy Communities Program - CHANGE Tool and ActionGuide |
null |
| community action plan | 0.808467 |
| environmental change strategies | 0.62524 |
| policies | 0.329542 |
| Knowledge | 0.327344 |
| CAMBIO de plantillas | 0.46278 |
| successes | 0.333594 |
| CHANGE Tool Templates | 0.560786 |
| systems | 0.351905 |
| healthy lifestyles | 0.478671 |
| Foundation | 0.327375 |
| place | 0.329738 |
| Community Health Assessment | 0.593531 |
| policy | 0.329902 |
| step-by-step instructions | 0.48131 |
|
| change tool | 0.853294 |
| Excel para completar | 0.565703 |
| available resources | 0.467614 |
| community needs | 0.474404 |
| key stakeholders | 0.466242 |
| picture | 0.329951 |
| Prioritize Community Health | 0.606726 |
| action steps | 0.582488 |
| Resources List | 0.434195 |
| presentación PowerPoint | 0.47128 |
| Needs—An Action Guide | 0.599973 |
| Additional Resources | 0.439005 |
| page | 0.352637 |
| Action Step | 0.992643 |
|
CLICK HERE |
| 14418 |
Centers for Disease Control and Prevention |
Html |
en |
CDC study: Former NFL players not at increased risk of suicide | CDC Online Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| suicide risk | 0.373273 |
| CDC’s National | 0.306158 |
| current discussion | 0.286069 |
| Disease Control | 0.303276 |
| NFL speed-position players | 0.416279 |
| suicide rate | 0.38098 |
| suicide deaths | 0.467323 |
| scientific literature | 0.294009 |
| NIOSH research | 0.32933 |
| greater risk | 0.309312 |
| new study | 0.305094 |
| NIOSH | 0.379827 |
| general U.S. population | 0.91666 |
| American Journal | 0.300709 |
| age-matched people | 0.297007 |
| NFL group | 0.331602 |
| Fifty-eight percent | 0.304944 |
| offensive linemen positions | 0.377982 |
| non-speed-position players | 0.307524 |
| professional football players | 0.52614 |
| Field Studies | 0.29142 |
| previous information | 0.290916 |
| NIOSH researchers | 0.347309 |
| neurodegenerative disease | 0.283164 |
| NFL Players Association | 0.40304 |
|
| general population | 0.467717 |
| head injury | 0.290416 |
| suicide death rate | 0.571776 |
| Occupational Safety | 0.2986 |
| Sports Medicine | 0.303366 |
| particular cohort | 0.295213 |
| heart disease | 0.285895 |
| different positions | 0.296986 |
| Hazard Evaluations | 0.290172 |
| white players | 0.307521 |
| higher risk | 0.425173 |
| different risks | 0.286271 |
| Douglas Trout | 0.287436 |
| National Football League | 0.3935 |
| nfl players | 0.59444 |
| black players | 0.309753 |
| non-speed positions | 0.298882 |
| latest study | 0.286553 |
| intentional self-harm | 0.292039 |
| wide receiver | 0.290584 |
| speed positions | 0.299176 |
| football players | 0.613664 |
| Deputy Director | 0.294234 |
| comparable gender/race/age sector | 0.371865 |
|
CLICK HERE |