| 5953 |
Centers for Disease Control and Prevention |
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Sulprofos - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 6145 |
Centers for Disease Control and Prevention |
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Science Clips - Monday, August 01, 2011 |
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| Trop Med Int | 0.791108 |
| Swine influenza virus | 0.772827 |
| Dee DL | 0.761805 |
| microwave popcorn plant | 0.777282 |
| traumatic firefighter fatalities | 0.769361 |
| Massachusetts e-health project | 0.772289 |
| local wellness policies | 0.779726 |
| da Silva AJ | 0.767791 |
| CDC Science Clips | 0.916835 |
| Nutrition Examination Survey | 0.84582 |
| Industrial fungal enzymes | 0.769186 |
| colorectal cancer | 0.778617 |
| Chief Science Officer | 0.797347 |
| Medicaid payment levels | 0.778308 |
| health information exchange | 0.786392 |
| lung disease risk | 0.78475 |
| Taylor MM | 0.75554 |
| HIV-related mortality | 0.754635 |
| National Health | 0.790125 |
| global public health | 0.807287 |
| community health workers | 0.803377 |
| public domain | 0.75517 |
| Stephen B. Thacker | 0.869464 |
| Borne Zoonotic Dis. | 0.779379 |
| dental care | 0.753966 |
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| Okoko BJ | 0.760145 |
| occupational allergen perspective | 0.770334 |
| Winscott MM | 0.758105 |
| effective HIV vaccine | 0.771899 |
| prospective data | 0.775721 |
| Transpl Infect Dis. | 0.775051 |
| potassium intake | 0.777795 |
| national observational cohort | 0.782585 |
| Jul | 0.858581 |
| public health literature | 0.7934 |
| urban ambulatory care | 0.786511 |
| rRNA Internal Transcribed | 0.77373 |
| 1-year prospective study | 0.783115 |
| B. Thacker CDC | 0.905764 |
| Currie BJ | 0.756867 |
| Brown DL | 0.763244 |
| Womens Health | 0.759202 |
| Garcia DL | 0.757868 |
| original sources | 0.757159 |
| Clin Vaccine Immunol. | 0.780219 |
| Swerdlow DL | 0.766619 |
| Asthma Call-Back Survey | 0.78276 |
| Thacker CDC Library | 0.905748 |
| Exp Biol Med | 0.782287 |
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Centers for Disease Control and Prevention |
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Disease Detectives - Solving High-Stakes Mysteries around the World |
CDC Works For You 24/7 Saving Lives - CDC's Disease Detectives: Global Health Sleuths Battle Contagion Worldwide; In Steven Soderbergh's new thriller Contagion, to be released September 9, Dr Erin Mears, played by Kate Winslet, is a disease detective, racing to help stop the lethal devastation unleashed by an unknown, airborne virus. |
| Dr. Joshua Schier | 0.721977 |
| CDC′s deployment team | 0.733215 |
| Infectious Disease | 0.620327 |
| risk communication specialist | 0.708575 |
| CDC′s response | 0.637362 |
| diethylene glycol | 0.614766 |
| Health Studies Branch | 0.724058 |
| medical samples | 0.61598 |
| West Nile Virus | 0.718583 |
| international help | 0.625238 |
| Social Security hospital | 0.723492 |
| Dr. Carol Rubin | 0.695584 |
| simple cough syrup | 0.706988 |
| U.S. Food | 0.632119 |
| poisoning sources—and | 0.610538 |
| round–the–clock evidence gathering | 0.701155 |
| Dengue fever | 0.637259 |
| blood pressure medication | 0.702811 |
| seriously ill patients | 0.741333 |
| mystery disease | 0.617836 |
| Latin American nation | 0.749027 |
| American Health Organization | 0.776132 |
| Camilo Alleyne | 0.657244 |
| CDC′s Center | 0.629636 |
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| CDC′s Global Disease | 0.740266 |
| healthcare providers | 0.611104 |
| Emergency Response | 0.61096 |
| kidney failure | 0.633528 |
| Gorgas Memorial Institute | 0.760624 |
| Drug Administration | 0.632045 |
| Special Pathogens Branch | 0.704565 |
| kidney disorders | 0.637403 |
| bi–lingual epidemiologist | 0.613315 |
| first–year EIS officer | 0.720162 |
| unknown killer | 0.621574 |
| solid epidemiological detective | 0.704978 |
| first–year officer | 0.616428 |
| CDC team | 0.650219 |
| medical epidemiologists | 0.624877 |
| patients′ homes | 0.609778 |
| Panama City | 0.687142 |
| suspicious pattern | 0.620486 |
| numerous deaths | 0.632897 |
| deadly culprit | 0.616777 |
| Rima Khabbaz | 0.623557 |
| high blood pressure | 0.912688 |
| Deputy Director | 0.625566 |
| mystery illness | 0.630121 |
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| 8389 |
Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease | High Prevalence of DiabetesAmong Indo-Guyanese Adults, Schenectady, New York - CDC |
The Indo-Guyanese population is the largest immigrant minority population in Schenectady, New York. A clinic-based study in Schenectady and surveillance reports from Guyana found high diabetes prevalence and mortality among Guyanese of Indian descent. |
| Indo-Guyanese women | 0.545247 |
| Indo-Guyanese population | 0.722317 |
| higher prevalence | 0.521414 |
| Indo-Guyanese respondents | 0.57797 |
| New York City | 0.427531 |
| Indo-Guyanese trace | 0.581767 |
| Disease Control | 0.387013 |
| overweight non-Hispanic whites | 0.390552 |
| Indian Diabetes Risk | 0.482104 |
| County Public Health | 0.393375 |
| Schenectady County Public | 0.37792 |
| higher diabetes prevalence | 0.626252 |
| Indo-Guyanese people | 0.586023 |
| Public Health Services | 0.392818 |
| Schenectady County | 0.391355 |
| Indo-Guyanese cultural beliefs | 0.561496 |
| diabetes risks | 0.480592 |
| age-standardized prevalence | 0.474987 |
| significantly higher prevalence | 0.385819 |
| high diabetes prevalence | 0.649269 |
| diabetes control | 0.504909 |
| diabetes status | 0.474115 |
| visible Indo-Guyanese communities | 0.614154 |
| Indo-Guyanese participants | 0.634893 |
| United States | 0.608427 |
|
| diabetes mellitus | 0.453422 |
| crude prevalence | 0.388824 |
| cross-sectional health survey | 0.379903 |
| Diabetes screening criteria | 0.460189 |
| diabetes cases | 0.445478 |
| diabetes prevalence | 0.719017 |
| expected prevalence difference | 0.376621 |
| diabetes disparities | 0.439032 |
| Indo-Guyanese men | 0.543808 |
| non-Hispanic whites | 0.899921 |
| Indo-Guyanese patients | 0.563627 |
| public health | 0.519556 |
| poor diabetes control | 0.477351 |
| Prim Care Diabetes | 0.452746 |
| non-Hispanic white adults | 0.491328 |
| New York | 0.669742 |
| Diabetes Res Clin | 0.518701 |
| Indo-Guyanese immigrants | 0.676119 |
| Diabetes Care | 0.437005 |
| Indo-Guyanese community | 0.692374 |
| dependent diabetes mellitus | 0.453411 |
| diabetes complications | 0.457104 |
| Indo-Guyanese adults | 0.778863 |
| diabetes | 0.920261 |
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| 8446 |
Centers for Disease Control and Prevention |
Html |
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Jamason's Biography - Jamason's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use |
Jamason's biography about having asthma attack triggered by secondhand smoke at 16. |
| asthma attacks | 0.443694 |
| high school | 0.205215 |
| Sherri remembers | 0.241303 |
| Jamason | 0.885568 |
| asthma attack | 0.908391 |
| cigarette smoke | 0.248418 |
| 18-year-old Jamason | 0.243895 |
| people | 0.21497 |
| trouble breathing | 0.231147 |
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| worst attack | 0.240706 |
| real world | 0.210351 |
| mother Sherri | 0.227781 |
| constant fear | 0.209804 |
| fast food restaurant | 0.397925 |
| severe asthma attacks | 0.39529 |
| smoke-free campuses | 0.219446 |
| secondhand smoke | 0.915785 |
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| 8512 |
Centers for Disease Control and Prevention |
Html |
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Vital Signs: Repeat Births Among Teens - United States,2007-2010 |
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. |
| sexually active teen | 0.402315 |
| effective contraceptive methods | 0.41138 |
| teen mothers | 0.901347 |
| New York City | 0.508622 |
| Closely spaced births | 0.317925 |
| birth control methods | 0.320574 |
| repeat childbearing | 0.308431 |
| parenting teens | 0.328314 |
| postpartum contraception | 0.305774 |
| percentage | 0.315262 |
| teen pregnancy rates | 0.33605 |
| American Indian/Alaska Natives | 0.350614 |
| non-hispanic black teens | 0.377119 |
| active teen mothers | 0.416944 |
| contraception | 0.357246 |
| potential negative health | 0.302947 |
| birth control | 0.414374 |
| oral contraceptive pills | 0.419277 |
| birth control patch | 0.30823 |
| repeat birth | 0.397164 |
| repeat teen birth | 0.49948 |
| effective methods postpartum | 0.315759 |
| repeat teen pregnancy | 0.47065 |
| recent live birth | 0.335139 |
| repeat teen births | 0.76002 |
|
| teen births | 0.843803 |
| effective methods | 0.587573 |
| overall teen birth | 0.331463 |
| teens | 0.443343 |
| states | 0.310124 |
| Pregnancy Risk Assessment | 0.342354 |
| long-acting reversible contraception | 0.302594 |
| repeat births | 0.662535 |
| live birth | 0.465072 |
| PRAMS data | 0.346458 |
| previous live birth | 0.317498 |
| teen birth rates | 0.417805 |
| Teen pregnancy prevention | 0.313936 |
| moderately effective contraceptive | 0.300921 |
| moderately effective methods | 0.344363 |
| effective birth control | 0.324156 |
| repeat teen childbearing | 0.479201 |
| PRAMS | 0.349476 |
| contraceptive methods postpartum | 0.330571 |
| vital statistics | 0.301928 |
| New Hampshire | 0.317488 |
| postpartum teen mothers | 0.356728 |
| Risk Assessment Monitoring | 0.34118 |
| low birth weight | 0.324328 |
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Centers for Disease Control and Prevention |
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Pandemic Flu Storybook - Stories, Table of Contents |
The Centers for Disease Control and Prevention’s Pandemic Flu Storybook provides readers with an intimate look at the impact pandemic flu events have had on both survivors and the families and friends of non-survivors. The stories within the pages of this book are not folklore, but personal recollections from the 1918 and 1957 events. This collection of stories was first released online in 2008 to commemorate the 90th anniversary of the 1918 flu pandemic. The 1918 flu pandemic occurred towards the end of World War I. Despite the intensity of that global conflict, more people died during the flu pandemic than were killed during the entire war. The death toll from the flu was an estimated 50–100 million worldwide; in the United States, about 675,000 died. The 1957 flu pandemic killed 1–2 million worldwide and caused approximately 70,000 deaths in the United States. |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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| 10014 |
Centers for Disease Control and Prevention |
Html |
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Rates of new lung cancer cases drop in U.S. men and women | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| preventable cancer | 0.366296 |
| Mortality Weekly Report | 0.395145 |
| past tobacco prevention | 0.414475 |
| control programs | 0.350666 |
| lung cancer | 0.969968 |
| community engagement campaigns | 0.375206 |
| cancer incidence rates | 0.649961 |
| tobacco prevention | 0.458394 |
| tobacco prices | 0.376873 |
| Director Tom Frieden | 0.392984 |
| commonly diagnosed cancer | 0.400277 |
| lung cancers | 0.44627 |
| hard-hitting mass media | 0.379563 |
| Affordable Care Act | 0.373537 |
| age groups | 0.347101 |
| young adults | 0.385099 |
| Cancer Registries | 0.361201 |
| women | 0.42956 |
| tobacco control strategies | 0.423316 |
| smoking prevalence | 0.396886 |
| earlier CDC study | 0.38407 |
| major impact | 0.351956 |
| United States | 0.513597 |
| comprehensive smoke-free laws | 0.379137 |
| tobacco advertising | 0.376759 |
|
| percent | 0.349616 |
| tobacco revenues | 0.381321 |
| U.S. Census regions | 0.376824 |
| cigarette smoking | 0.395531 |
| slightly lower rates | 0.388145 |
| dramatic declines | 0.350266 |
| Tobacco control efforts | 0.437966 |
| men | 0.429652 |
| National Cancer Institute | 0.398198 |
| cancer death | 0.363794 |
| subsequent lung cancer | 0.450885 |
| lung-cancer data | 0.351215 |
| smoking behaviors | 0.358658 |
| new lung cancers | 0.442748 |
| tobacco use screenings | 0.373817 |
| End Results program | 0.380697 |
| health care coverage | 0.375299 |
| new lung cancer | 0.483503 |
| new analysis | 0.353101 |
| lung cancer incidence | 0.820025 |
| new report | 0.346552 |
| important preventive services | 0.374831 |
| Dr. Frieden | 0.352232 |
| tobacco control | 0.463297 |
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Opioid painkiller prescribing varies widely among states | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| high rates | 0.457018 |
| United States. | 0.456131 |
| Mortality Weekly Report | 0.50154 |
| CDC’s National | 0.476736 |
| Daniel M. Sosin | 0.498424 |
| Health National Prescription | 0.568229 |
| frequently. States | 0.46291 |
| state-run health plans | 0.507824 |
| long-acting/extended-release painkillers | 0.524762 |
| opioid painkillers | 0.600433 |
| prescription drug overdoses | 0.553052 |
| percent increase | 0.456202 |
| highest prescribing state | 0.538202 |
| Disease Control | 0.461333 |
| CDC journal Morbidity | 0.517932 |
| Health care providers | 0.602741 |
| prescriptions | 0.525495 |
| Examiners Commission data | 0.507565 |
| CDC Director Tom | 0.527101 |
| commercial vendor. CDC | 0.525235 |
| health status | 0.469741 |
| prescription drug monitoring | 0.551802 |
| substance abuse treatment | 0.487533 |
| specific prescription painkillers | 0.63243 |
| death rates | 0.463623 |
|
| highest prescribing states | 0.541688 |
| better health outcomes | 0.505417 |
| inappropriate prescribing | 0.46478 |
| Previous research | 0.507204 |
| United States | 0.503109 |
| death rate | 0.495152 |
| vehicle passenger safety | 0.490425 |
| cardiovascular health | 0.45918 |
| painkiller prescriptions | 0.512094 |
| prescription drug overdose | 0.911804 |
| Audit data | 0.459204 |
| state-run databases | 0.457079 |
| latest data | 0.456202 |
| prescription painkiller overdose | 0.626009 |
| key health indicators | 0.501475 |
| Vital Signs report | 0.709016 |
| high-dose painkillers | 0.527393 |
| drug overdose death | 0.585659 |
| regional variation | 0.465711 |
| particularly hard look | 0.496903 |
| drug overdose trends | 0.583466 |
| lowest prescribing state | 0.53651 |
| CDC report | 0.484537 |
| state variation | 0.556944 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | SaludABLEOmaha: Improving Readiness to Address Obesity Through Healthy Lifestyle in a Midwestern Latino Community, 2011"2013 - 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 on the very latest in chronic disease prevention, research findings, public health interventions, and the exploration of new theories and concepts.
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| social service agencies | 0.272514 |
| community decision makers | 0.270769 |
| community knowledge | 0.391328 |
| community climate | 0.335739 |
| community’s readiness | 0.448108 |
| health issues | 0.259584 |
| community readiness rating | 0.351537 |
| diminish health disparities | 0.257238 |
| healthy lifestyles | 0.310727 |
| community efforts | 0.334404 |
| community health organizations | 0.282378 |
| obesity prevention | 0.283143 |
| Midwestern Latino community | 0.309915 |
| community partner networks | 0.258221 |
| community readiness | 0.821056 |
| issue | 0.26713 |
| social media tactics | 0.28519 |
| social media strategies | 0.292039 |
| community | 0.95108 |
| youth activism | 0.373441 |
| community health | 0.309253 |
| South High School | 0.292147 |
| Omaha South High | 0.301838 |
| social media platforms | 0.272138 |
| Omaha Community Care | 0.303558 |
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| community members | 0.384368 |
| Nebraska Medical Center | 0.281382 |
| community leaders | 0.318976 |
| major community stakeholders | 0.256036 |
| fellow community members | 0.260277 |
| Omaha Latino community | 0.633453 |
| hands-on community service | 0.344808 |
| South Omaha Latino | 0.580607 |
| social marketing | 0.563504 |
| influential community members | 0.256704 |
| youth activists | 0.600268 |
| SaludABLEOmaha | 0.383775 |
| business engagement | 0.325219 |
| private institutions | 0.288342 |
| social media | 0.639821 |
| south omaha community | 0.392472 |
| Community Context | 0.254903 |
| readiness levels | 0.272006 |
| childhood obesity | 0.456389 |
| community readiness dimensions | 0.359 |
| obesity-related health issues | 0.256672 |
| Readiness Model protocol | 0.294634 |
| community mobilization | 0.271149 |
| community health center | 0.293125 |
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