| 732 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Outbreak of Tuberculosis Associatedwith a Newly Identified Mycobacterium tuberculosis Genotype - NewYork City, 2010-2013 |
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. |
| Public Health Laboratory | 0.475242 |
| Health Wadsworth Center | 0.471953 |
| TB diagnoses | 0.648603 |
| Public Health Research | 0.475953 |
| United States | 0.485517 |
| original MMWR paper | 0.460484 |
| U.S. Government Printing | 0.456123 |
| contact investigation | 0.476447 |
| alcohol withdrawal | 0.477297 |
| drug treatment facility | 0.480427 |
| MMWR HTML versions | 0.453943 |
| New York City | 0.745707 |
| York State Dept | 0.468033 |
| homeless shelters | 0.505414 |
| TB transmission | 0.651376 |
| drug-susceptible TB | 0.662103 |
| abnormal chest radiograph | 0.475256 |
| electronic PDF version | 0.455252 |
| index patient | 0.547026 |
| new TB strain | 0.727328 |
| Bianca R. Perri | 0.457191 |
| DOHMH | 0.502343 |
| substance abuse | 0.566654 |
| ED health-care providers | 0.476496 |
|
| local hospitals | 0.468483 |
| TB treatment | 0.864831 |
| NYC hospital ED | 0.532947 |
| Shama Desai Ahuja | 0.604773 |
| York City Dept | 0.471974 |
| public transportation hub | 0.455266 |
| U.S.-born black men | 0.476375 |
| TB | 0.978781 |
| NYC transportation hub | 0.5129 |
| TB patients | 0.664884 |
| TB controllers | 0.629236 |
| homeless persons | 0.610707 |
| infection-control staff members | 0.47436 |
| TB genotype | 0.678276 |
| TB diagnosis | 0.639204 |
| human immunodeficiency virus | 0.468438 |
| TB risk factors | 0.698448 |
| additional patients | 0.488593 |
| routine NYC protocol | 0.516275 |
| hospital emergency department | 0.485725 |
| multiple epidemiologic links | 0.470807 |
| tb control | 0.716348 |
| Jeanne Sullivan Meissner | 0.448892 |
|
CLICK HERE |
| 4611 |
Centers for Disease Control and Prevention |
Html |
en |
January 6, 2010: States Where Persons Infected with the Outbreak Strain of E. coli O157:H7 Live, United States, by State | 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. |
| O157 | 0.437014 |
| HI | 0.326322 |
| MN | 0.32343 |
| PM EDT | 0.427178 |
| CDC | 0.330483 |
| Monday | 0.32345 |
| United States | 0.622702 |
| Poultry | 0.325994 |
| reside | 0.328372 |
| KS | 0.325167 |
| persons | 0.448225 |
| SD | 0.325249 |
|
| number | 0.322905 |
| H7 Infections Associated | 0.63207 |
| National Steak | 0.433257 |
| ill persons | 0.407591 |
| TN | 0.322818 |
| Beef | 0.326295 |
| MI | 0.322909 |
| E. coli | 0.950094 |
| outbreak strain | 0.822188 |
| Multistate Outbreak | 0.511486 |
| H7 Live | 0.537889 |
|
CLICK HERE |
| 6019 |
Centers for Disease Control and Prevention |
Html |
en |
Propylene glycol monomethyl ether - 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 |
| 6499 |
Centers for Disease Control and Prevention |
Html |
en |
Transmission - Yellow Fever |
How Yellow fever virus is transmitted. |
| monkey | 0.22255 |
| non-human primates | 0.384402 |
| urban setting | 0.308787 |
| viremic human | 0.304394 |
| Japanese encephalitis viruses | 0.47427 |
| yellow fever virus | 0.96068 |
| transmission | 0.249689 |
| genus Flavivirus | 0.340842 |
| bite | 0.227846 |
| West Nile | 0.341656 |
| St. Louis encephalitis | 0.472627 |
| forest canopy | 0.32471 |
|
| mosquitoes | 0.599437 |
| jungle border areas | 0.435132 |
| RNA virus | 0.504642 |
| urban cycle | 0.304365 |
| onset | 0.260851 |
| people | 0.24778 |
| monkeys | 0.261177 |
| infected Aedes | 0.394775 |
| Aedes aegypti | 0.353541 |
| Haemagogus species mosquitoes | 0.549602 |
| infected primates | 0.393357 |
| humans | 0.321213 |
|
CLICK HERE |
| 7248 |
Centers for Disease Control and Prevention |
Html |
en |
Pertussis Epidemic - Washington, 2012 |
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. |
| high rates | 0.296482 |
| childhood series | 0.351047 |
| pertussis epidemic | 0.449385 |
| B. pertussis | 0.608023 |
| pertussis | 0.950864 |
| vaccination coverage | 0.266921 |
| children | 0.363687 |
| pertussis cases | 0.835545 |
| Washington State Public | 0.242025 |
| vaccination status | 0.276865 |
| Tdap | 0.269409 |
| probable cases | 0.247974 |
| national incidence | 0.338955 |
| Seattle Children | 0.249446 |
| effective strategy | 0.254459 |
| infants | 0.255045 |
| adolescents | 0.359737 |
| acellular pertussis vaccine | 0.496288 |
| acellular pertussis | 0.718644 |
| Bordetella pertussis | 0.399242 |
| Washington State Department | 0.312199 |
| Washington school children | 0.243094 |
| PFGE profiles | 0.259012 |
| doses | 0.261095 |
| United States | 0.548883 |
|
| Washington | 0.420509 |
| vaccine doses | 0.242834 |
| National Notifiable Diseases | 0.284659 |
| whole-cell vaccines | 0.377786 |
| Immunization Practices | 0.246081 |
| complete childhood series | 0.331737 |
| Advisory Committee | 0.247008 |
| childhood acellular vaccine | 0.307666 |
| pertussis outbreak | 0.362496 |
| Washington State Secretary | 0.25369 |
| probable pertussis cases | 0.508009 |
| B. pertussis organisms | 0.414291 |
| acellular pertussis vaccines | 0.544381 |
| ongoing pertussis epidemic | 0.402593 |
| Notifiable Diseases Surveillance | 0.271436 |
| health | 0.244332 |
| acellular vaccines | 0.796098 |
| B. pertussis PFGE | 0.433702 |
| whole-cell pertussis | 0.375955 |
| cumulative incidence | 0.244885 |
| pertussis vaccination | 0.526768 |
| Pertussis control | 0.361202 |
| early waning | 0.258246 |
| incidence | 0.346087 |
|
CLICK HERE |
| 7831 |
Centers for Disease Control and Prevention |
Html |
en |
Sudden Infant Death Syndrome (SIDS) - Health Communication |
Gateway to Health Communication and Social Marketing Practice - Sudden Infant Death Syndrome |
| complete autopsy | 0.538727 |
| young women | 0.503402 |
| bed | 0.46308 |
| siblings | 0.422407 |
| stomach | 0.424914 |
| American Indian tribes | 0.625122 |
| death scene | 0.531962 |
| pregnant women | 0.610636 |
| baby shares | 0.515319 |
| African-Americans | 0.425604 |
| children | 0.44676 |
| review | 0.4245 |
| poverty | 0.421158 |
| health care providers | 0.592714 |
| racial/ethnic groups | 0.524864 |
| risk factors | 0.784753 |
| clinical history | 0.535118 |
| tobacco smoke | 0.515397 |
| infants | 0.45259 |
| young maternal age | 0.617225 |
| thorough case investigation | 0.645548 |
| stuffed toys | 0.512716 |
| sleeping surface | 0.520737 |
| prenatal care | 0.612449 |
| caretakers | 0.425237 |
|
| poor pre-natal care | 0.622931 |
| innovative techniques | 0.514973 |
| campaign | 0.421708 |
| New parents | 0.509114 |
| adult | 0.481232 |
| limited access | 0.509024 |
| average | 0.422474 |
| room temperature | 0.504908 |
| SIDS | 0.981939 |
| early spring | 0.518524 |
| cause | 0.471588 |
| winter | 0.421492 |
| single behavior | 0.517271 |
| babies | 0.446868 |
| sudden death | 0.535253 |
| poor women | 0.602281 |
| U.S. | 0.424284 |
| risk increases | 0.528037 |
| examination | 0.421457 |
| illicit drugs | 0.511245 |
| cases | 0.424209 |
| crib | 0.422003 |
| Infant Death Syndrome | 0.65901 |
| SIDS deaths | 0.815499 |
|
CLICK HERE |
| 7970 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, January 21, 2013 |
null |
| typhoid) fever. | 0.794784 |
| treatment completion rates | 0.779193 |
| survey respondents | 0.704608 |
| Risk Factor Surveillance | 0.785321 |
| lower socioeconomic status | 0.774427 |
| New York City | 0.77294 |
| American Cancer Society | 0.768357 |
| nutrition issues | 0.69922 |
| important data | 0.702475 |
| CDC Science Clips | 0.889255 |
| tolerable upper intake | 0.783212 |
| 2009-2010 H1N1 pandemic | 0.78296 |
| Librarian | 0.698557 |
| Antiviral Therapy | 0.699012 |
| maternal influenza | 0.703393 |
| basic methods | 0.697848 |
| documents high tuberculosis | 0.779457 |
| Science Clips Production | 0.788654 |
| influenza-associated fetal death | 0.78145 |
| survey research principles | 0.770679 |
| HC Hamner | 0.697767 |
| KA Grimm | 0.698249 |
| falciparum malaria | 0.710742 |
| vast majority | 0.69956 |
| case series description | 0.798315 |
|
| cohort study | 0.700272 |
| Web Developer | 0.752386 |
| folic acid intake | 0.791928 |
| corn masa flour | 0.772208 |
| public health community | 0.821305 |
| health co-investigators | 0.707731 |
| laboratory diagnostic methods | 0.778545 |
| epidemic epilepsy | 0.700045 |
| special population | 0.700271 |
| public health | 0.980391 |
| Science Clips | 0.964046 |
| public health literature | 0.780929 |
| unknown etiology | 0.700159 |
| nationwide analysis | 0.698887 |
| HIV-positive adults | 0.700641 |
| B. Thacker CDC | 0.868415 |
| tropical diseases | 0.69931 |
| molecular surveillance | 0.697251 |
| article essay returns | 0.799472 |
| influenza vaccination | 0.709469 |
| life-threatening travel-acquired illnesses | 0.788064 |
| John Iskander | 0.798732 |
| small proportion | 0.696896 |
| public health laboratory | 0.801262 |
|
CLICK HERE |
| 8447 |
Centers for Disease Control and Prevention |
Html |
en |
Videos - Campaign Resources - Tips From Former Smokers - Smoking & Tobacco Use |
Videos featuring television commercials, advertisements, extended interviews, and vignettes from the Tips from Former Smokers campaign, which features real people suffering as a result of smoking and exposure to secondhand smoke. |
| high school | 0.247978 |
| heart attack | 0.235954 |
| Story  Smoking | 0.212784 |
| Tips Commercial  Felicita | 0.200766 |
| TV ad | 0.222471 |
| Buerger’s disease | 0.301106 |
| video | 0.640553 |
| throat cancer | 0.290952 |
| life | 0.338125 |
| cigarette smoking | 0.248236 |
| lung cancer | 0.211783 |
| smoking regular cigarettes | 0.275248 |
| smoking cigarettes | 0.22485 |
| lullaby—before smoking | 0.204705 |
| smoking | 0.942609 |
| Tips Commercial  Smoking | 0.375419 |
| stop smoking | 0.20435 |
| hospital | 0.241626 |
| CDC’s Tips | 0.664785 |
| TV commercial | 0.628613 |
| Brett | 0.230145 |
| disease | 0.356255 |
|
| Anthem Tips Commercial | 0.214659 |
| gum disease | 0.214124 |
| Smokers campaign | 0.723685 |
| secondhand smoke exposure | 0.320554 |
| health | 0.273093 |
| asthma attack | 0.238157 |
| people | 0.245555 |
| Quit Smoking | 0.222329 |
| lung | 0.255581 |
| DiseaseTips Commercial  Smoking | 0.253281 |
| Tips Commercial  Terrie | 0.208388 |
| health problems | 0.247205 |
| Tips Commercial | 0.844537 |
| Terrie | 0.32279 |
| cancer | 0.38015 |
| cigarettes | 0.364362 |
| family | 0.209364 |
| teenagers smoking | 0.203612 |
| age | 0.444851 |
| obstructive pulmonary disease | 0.267718 |
| Air Force | 0.208991 |
| story | 0.67696 |
|
CLICK HERE |
| 12259 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Factors Associated With Daily Consumption of Sugar-Sweetened Beverages Among Adult Patients at Four Federally Qualified Health Centers, Bronx, New York, 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 of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| SSB RAQs | 0.586634 |
| patient health behavior | 0.309941 |
| health behavior changes | 0.302539 |
| healthier clinical measurements | 0.26706 |
| health centers | 0.3056 |
| EHR | 0.348931 |
| Future studies | 0.270531 |
| New York City | 0.571814 |
| City Community Health | 0.277991 |
| Transform Community Health | 0.274572 |
| Montefiore Medical Center | 0.345653 |
| health behaviors | 0.46903 |
| specific health behaviors | 0.265509 |
| health behaviors data | 0.32181 |
| SSB consumption | 0.944329 |
| patients | 0.584995 |
| Community Health Network | 0.338091 |
| SSB drinks | 0.303098 |
| daily SSB consumption | 0.594248 |
| health condition | 0.36533 |
| standardized health behavior | 0.265656 |
| York City CHS | 0.284172 |
| public health agencies | 0.41371 |
| electronic health record | 0.362853 |
| SSB RAQ | 0.295577 |
|
| daily SSB intake | 0.366058 |
| study | 0.277305 |
| public health sectors | 0.269789 |
| EHR data | 0.290705 |
| unhealthy behaviors | 0.292328 |
| health services variables | 0.275357 |
| servings | 0.25846 |
| adult patients | 0.544594 |
| health behavior | 0.752773 |
| self-reported health behavior | 0.310843 |
| Community Health | 0.347092 |
| federally qualified health | 0.357261 |
| health service | 0.361846 |
| health | 0.781893 |
| primary care centers | 0.39601 |
| Bronx Community Health | 0.339678 |
| patient-reported health behaviors | 0.293464 |
| SSB intake | 0.678172 |
| EHR structure | 0.252228 |
| SSB questions | 0.320717 |
| qualified health centers | 0.269332 |
| MMC EHR database | 0.264298 |
| health behavior data | 0.278727 |
| primary care | 0.406777 |
|
CLICK HERE |
| 16336 |
Centers for Disease Control and Prevention |
Html |
en |
FastStats - Measles, Mumps, and Rubella |
null |
| new measles | 0.733217 |
| number | 0.495305 |
| doses | 0.310079 |
| Percent | 0.442895 |
| adolescents | 0.298019 |
|
| children | 0.279376 |
| new German measles | 0.943315 |
| 91.9 | 0.277348 |
| rubella | 0.651652 |
| new mumps cases | 0.85687 |
|
CLICK HERE |