| 4425 |
Centers for Disease Control and Prevention |
Html |
en |
Diseases & Conditions A-Z Index - N |
CDC Diseases and Conditions A-Z Index |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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| 5405 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, June 13, 2011 |
null |
| passive sampling methods | 0.764975 |
| childhood maltreatment experiences | 0.811157 |
| influenza vaccination coverage | 0.776304 |
| Obstet Gynecol. | 0.773729 |
| Res Clin Pract. | 0.78696 |
| ovarian cancer mortality | 0.770141 |
| undiagnosed HIV infection | 0.772325 |
| CDC Science Clips | 0.881279 |
| Ann Occup Hyg. | 0.768609 |
| Youth Risk Behavior | 0.776133 |
| PLCO Project Team | 0.765114 |
| Nutrition Examination Survey | 0.773868 |
| Evid Based Med. | 0.777489 |
| human monoclonal antibody | 0.766003 |
| automated genotyping tool | 0.766967 |
| cell renal cell | 0.76943 |
| virulent Venezuelan equine | 0.765109 |
| maltreatment timing | 0.779955 |
| Chief Science Officer | 0.782489 |
| chronic maltreatment | 0.780962 |
| Jamieson DJ | 0.767974 |
| Randomized Controlled Trial | 0.774553 |
| popular opinion leaders | 0.76841 |
| Environ Health. | 0.774266 |
| Stephen B. Thacker | 0.843323 |
|
| public health quandary | 0.785362 |
| Child Maltreat. | 0.772282 |
| United States | 0.912274 |
| child sexual abuse | 0.784163 |
| Linked Mortality Study | 0.777301 |
| pentavalent rotavirus vaccine | 0.774425 |
| pandemic influenza | 0.807959 |
| sexually transmitted infections | 0.764874 |
| Acquir Immune Defic | 0.838556 |
| child welfare recidivism | 0.775675 |
| Low-level lead exposure | 0.769437 |
| hospital cafeteria worker | 0.768286 |
| Varicella zoster virus | 0.765469 |
| Jun | 0.837979 |
| Immune Defic Syndr. | 0.838547 |
| randomised controlled trial | 0.774969 |
| public health literature | 0.772776 |
| B. Thacker CDC | 0.870223 |
| child maltreatment | 0.86464 |
| randomized dismantling field | 0.766717 |
| pandemic influenza vaccines | 0.787688 |
| Clin Vaccine Immunol. | 0.778157 |
| child maltreatment prevention | 0.833003 |
| Health Serv Res. | 0.774051 |
|
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| 5958 |
Centers for Disease Control and Prevention |
Html |
en |
Methyl ethyl ketone peroxide - 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 |
| 8275 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Recruitment and Retention ofPregnant Women for a Behavioral Intervention: Lessons from theMaternal Adiposity, Metabolism, and Stress MAMAS Study -CDC |
Recruiting participants for research studies can be challenging. Many studies fall short of their target or must prolong recruitment to reach it. We examined recruitment and retention strategies and report lessons learned in a behavioral intervention developmental trial to encourage healthy pregnancy weight gain and stress reduction in low-income overweight pregnant women. |
| francisco bay area | 0.679178 |
| study participants | 0.651465 |
| healthy pregnancy weight | 0.646725 |
| prenatal behavioral intervention | 0.627398 |
| child care costs | 0.624855 |
| pregnancy weight gain | 0.649335 |
| low-income study participants | 0.649307 |
| hospital-based prenatal clinics | 0.870349 |
| pregnant women | 0.948162 |
| recruitment | 0.717647 |
| clinic staff | 0.678502 |
| recruit low-income women | 0.640665 |
| gestational age | 0.711307 |
| social service providers | 0.623704 |
| San Francisco Bay | 0.67946 |
| 8-week behavioral intervention | 0.621619 |
| behavioral intervention | 0.676379 |
| low-income women | 0.688738 |
| stage pregnant women | 0.663755 |
| intervention participants | 0.651081 |
| California Pacific Medical | 0.618365 |
| intervention | 0.71233 |
| obese women | 0.631784 |
| study | 0.738022 |
| Phase | 0.662909 |
|
| Introduction
Recruiting participants | 0.630155 |
| weight gain | 0.679954 |
| intervention developmental trial | 0.621679 |
| gestational weight gain | 0.62321 |
| child care | 0.714388 |
| 8-week intervention | 0.618669 |
| social services agencies | 0.651552 |
| focus groups | 0.683691 |
| overall study retention | 0.614736 |
| eligible women | 0.855719 |
| intervention development trial | 0.6232 |
| eligible participants | 0.636194 |
| federal poverty guidelines | 0.674974 |
| prenatal care providers | 0.720656 |
| social services providers | 0.620009 |
| low-income minority women | 0.620264 |
| annual household income | 0.668159 |
| group intervention | 0.619645 |
| focus group participants | 0.740486 |
| inflexible work schedules | 0.613027 |
| San Francisco | 0.727267 |
| overweight pregnant women | 0.718981 |
| obese pregnant women | 0.868419 |
| retention rates | 0.65285 |
|
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| 8340 |
Centers for Disease Control and Prevention |
Html |
en |
TB - Basic TB Facts - TB Personal Stories |
Division of Tuberculosis Elimination |
| Danielle | 0.310493 |
| latent TB infection | 0.715648 |
| country | 0.321504 |
| United States | 0.462304 |
| respiratory illness | 0.352125 |
| borders | 0.310153 |
| multidrug-resistant TB | 0.628829 |
| TB disease | 0.750104 |
| Tri | 0.319288 |
| girls | 0.30977 |
| poor health | 0.34645 |
| life-threatening problem | 0.360731 |
| odd lump | 0.352164 |
| Liliana | 0.312359 |
| personal experiences | 0.358395 |
| Rosalie | 0.322163 |
| 13-month-old boy | 0.349635 |
| MDR TB | 0.602197 |
| numerous misdiagnoses | 0.354598 |
| life-saving treatment | 0.354205 |
| high school student | 0.385627 |
| n’t finish treatment | 0.38503 |
| Martha | 0.309726 |
| health screening | 0.351336 |
|
| daughter Faith | 0.346858 |
| young daughters | 0.353062 |
| Bhutan | 0.311235 |
| stories | 0.310562 |
| Mabruka | 0.309662 |
| physical therapist | 0.350042 |
| Francene | 0.313428 |
| multidrug-resistant tuberculosis | 0.350862 |
| loves-playing basketball | 0.348158 |
| people | 0.322036 |
| Esteban | 0.312422 |
| TB | 0.90208 |
| Deo | 0.312488 |
| help | 0.309702 |
| TB meningitis | 0.557601 |
| TB nurse | 0.584589 |
| Video | 0.331851 |
| medical professional | 0.354967 |
| South Africa | 0.350272 |
| peer counselor | 0.350563 |
| infant son | 0.348006 |
| age | 0.319228 |
| Ethiopia | 0.310471 |
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| 8764 |
Centers for Disease Control and Prevention |
Html |
en |
Prevention and Control of Influenza with Vaccines: InterimRecommendations of the Advisory Committee on Immunization PracticesACIP, 2013 |
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. |
| ACIP influenza | 0.872596 |
| currently available influenza | 0.481444 |
| influenza vaccination recommendation | 0.516999 |
| trivalent influenza vaccine | 0.570866 |
| Influenza Div | 0.356053 |
| Routine annual influenza | 0.493014 |
| inactivated influenza vaccines | 0.555669 |
| ACIP influenza recommendation | 0.677909 |
| Immunization Practices | 0.331406 |
| cell culture-based vaccine | 0.305035 |
| newly licensed influenza | 0.463795 |
| Influenza Vaccine Abbreviations | 0.575174 |
| advisory committee | 0.383121 |
| recommendation statement | 0.212496 |
| influenza vaccine | 0.782048 |
|
| trivalent inactivated influenza | 0.458233 |
| Vaccine Recommendations | 0.285925 |
| influenza season | 0.497059 |
| influenza vaccines | 0.931059 |
| ACIP influenza vaccination | 0.813065 |
| influenza vaccination statement | 0.493736 |
| ACIP influenza recommendations | 0.714686 |
| hemagglutinin influenza vaccine | 0.562011 |
| vaccine categories | 0.210027 |
| ACIP recommendations | 0.314726 |
| inactivated influenza vaccine | 0.572555 |
| U.S. vaccine abbreviations | 0.307242 |
| attenuated influenza vaccine | 0.56412 |
| influenza virus | 0.356037 |
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Centers for Disease Control and Prevention |
Html |
en |
Prostate Cancer Rates by Race and Ethnicity |
Prostate cancer statistics from CDC: incidence and mortality by race and ethnicity. |
| numbers | 0.421228 |
| invasive cancer sites | 0.598755 |
| NVSS | 0.424124 |
| cancer excludes basal | 0.603825 |
| genital organs | 0.500593 |
| number | 0.463046 |
| shows | 0.46358 |
| ethnic populations | 0.601836 |
| A/PI | 0.419389 |
| Asian/Pacific Islander men | 0.601713 |
| registry-specific data quality | 0.585333 |
| prostate cancer incidence | 0.680285 |
| highest rate | 0.519055 |
| Hispanic origin | 0.601906 |
| National Vital Statistics | 0.574286 |
| Behavior recode | 0.508481 |
| National Program | 0.502499 |
| incidence rate | 0.639841 |
| age groups | 0.601885 |
| Sources | 0.419304 |
| graph | 0.470666 |
| Census P25–1130 | 0.604088 |
| population coverage | 0.602983 |
| data quality | 0.590945 |
| persons | 0.477805 |
|
| situ cancers | 0.502546 |
| death rates | 0.658072 |
| U.S. standard population | 0.7643 |
| AI/AN | 0.419413 |
| ethnicity | 0.484815 |
| 100,000 | 0.462855 |
| skin | 0.43263 |
| USCS technical notes | 0.938698 |
| data quality criteria | 0.58474 |
| cancer registries | 0.606121 |
| potential differences | 0.596273 |
| Asian/Pacific Islander | 0.633069 |
| †Race categories | 0.599682 |
| *Rates | 0.437861 |
| National Cancer Institute | 0.607294 |
| caution | 0.509713 |
| disease | 0.421074 |
| black men | 0.583168 |
| urinary bladder | 0.501382 |
| End Results program | 0.595054 |
| squamous cell carcinomas | 0.597043 |
| U.S. population | 0.59581 |
| prostate cancer | 0.907235 |
| American Indian/Alaska Native | 0.795329 |
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Centers for Disease Control and Prevention |
Html |
en |
What U.S. Hospitals Need to Know to Prepare for Ebola Virus Disease - Conference Call August 5, 2014 | Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| impacted countries | 0.485042 |
| United States | 0.444016 |
| patients | 0.326601 |
| Ebola hemorrhagic fever | 0.809932 |
| U.S. hospitals | 0.457057 |
| updates | 0.323667 |
| steps | 0.331951 |
| American citizens | 0.454404 |
| COCA | 0.348577 |
|
| guidance | 0.329852 |
| recent Ebola virus | 0.821637 |
| West Africa | 0.551427 |
| U.S. healthcare facilities | 0.549834 |
| outbreak | 0.402273 |
| clinicians | 0.339802 |
| U.S. hospital | 0.433922 |
| possibility | 0.387737 |
|
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Centers for Disease Control and Prevention |
Html |
en |
Pregnant Women and Flu Vaccination, Internet Panel Survey, United States, November 2014 |
CDC Centers for Disease Control and Prevention Influenza Flu - findings from the Internet Panel Survey of pregnant women flu vaccination in the United States for the 2014-15 flu seasons. |
| 2009-10 flu season | 0.282137 |
| national flu vaccination | 0.317971 |
| early flu season | 0.306652 |
| vaccination campaigns | 0.211003 |
| flu season vaccination | 0.369573 |
| vaccination status questions | 0.228523 |
| higher vaccination coverage | 0.249069 |
| severe flu | 0.230605 |
| flu infection | 0.224179 |
| flu vaccine | 0.267762 |
| flu activity | 0.244137 |
| flu vaccination coverage | 0.959649 |
| vaccination coverage estimates | 0.22974 |
| internet panel survey | 0.371197 |
| Influenza vaccination coverage | 0.223898 |
| pregnant women | 0.929111 |
| unvaccinated pregnant women | 0.215186 |
| Inform pregnant women | 0.214305 |
| flu shots | 0.291081 |
| end-of-season flu vaccination | 0.315922 |
|
| 2010-11 flu season | 0.264829 |
| vaccination status | 0.250666 |
| flu season|| | 0.228498 |
| American College | 0.20661 |
| National Influenza Vaccination | 0.235819 |
| high-risk conditions | 0.20395 |
| flu seasons | 0.241651 |
| H1N1 Flu Survey | 0.27835 |
| Peak flu activity | 0.240688 |
| pregnancy | 0.22127 |
| Younger pregnant women | 0.222894 |
| flu illness | 0.244416 |
| single flu season | 0.256597 |
| influenza vaccination | 0.239745 |
| flu activity increases | 0.24042 |
| season vaccination coverage | 0.276186 |
| flu shot | 0.333277 |
| early season vaccination | 0.259374 |
| current vaccination efforts | 0.21027 |
| Internet panel surveys | 0.209005 |
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Centers for Disease Control and Prevention |
Html |
en |
Decrease in Rate of Opioid Analgesic Overdose Deaths -Staten Island, New York City, 2011-2013 |
Denise Paone, EdD1, Ellenie Tuazon, MPH1, Jessica Kattan, MD1, Michelle L. Nolan, MPH1, Daniella Bradley O'Brien1, Deborah Dowell, MD2, Thomas A. Farley, MD3, Hillary V. |
| Staten Island prescribers | 0.469775 |
| overdose rates | 0.393587 |
| public health interventions | 0.509204 |
| analgesic–involved overdose mortality | 0.494321 |
| Prescription Monitoring Program | 0.383121 |
| state prescription monitoring | 0.433457 |
| Staten Island–specific | 0.382075 |
| heroin-involved overdose mortality | 0.401298 |
| New York City | 0.413413 |
| analgesic high-dose prescribing | 0.377967 |
| Staten Island rates | 0.425924 |
| Staten Island | 0.907289 |
| analgesic prescribing patterns | 0.376389 |
| overdose mortality rates | 0.537077 |
| opioid analgesic–involved mortality | 0.464188 |
| heroin-involved overdose deaths | 0.414935 |
| opioid analgesic mortality | 0.488139 |
| high-dose opioid | 0.443528 |
| high dose prescriptions | 0.382334 |
| overdose death rate | 0.414324 |
| opioid analgesic–involved overdose | 0.700631 |
| Island local news | 0.366255 |
| unintentional drug poisoning | 0.390769 |
| Staten Island physicians | 0.430353 |
|
| NYC boroughs | 0.428123 |
| opioid analgesic prescriptions | 0.677705 |
| Methadone-involved overdose deaths | 0.395821 |
| opioid analgesics | 0.515867 |
| short-acting opioid analgesic | 0.479745 |
| Staten Island stakeholders | 0.442052 |
| office educational visits | 0.426119 |
| Staten Island mortality | 0.467856 |
| judicious opioid prescribing | 0.461141 |
| opioid use disorders | 0.42855 |
| Staten Island–targeted efforts | 0.418692 |
| overdose mortality | 0.610933 |
| new york state | 0.387518 |
| opioid prescribing guidelines | 0.505838 |
| Staten Island town | 0.442758 |
| public service announcements | 0.388843 |
| analgesic prescribing data | 0.386709 |
| Staten Island campaign | 0.442581 |
| analgesic–involved overdose deaths | 0.434923 |
| Staten Island area | 0.414583 |
| overdose mortality trends | 0.412818 |
| Staten Island residents | 0.536873 |
| drug-involved overdose deaths | 0.391229 |
|
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