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Centers for Disease Control and Prevention |
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Celebrate Moms Who Protect Children's Health |
Find out about the ways that you can protect yourself and loved ones by quitting smoking and reducing exposure to secondhand smoke. |
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CLICK HERE |
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Centers for Disease Control and Prevention |
Html |
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November 5, 2010: Outbreak of Human E. coli O157 Infections Associated with Cheese Epi Curve | E. coli CDC |
FDA, CDC, and Costco warn consumers to avoid Bravo Farms Dutch Style Gouda cheese |
| average | 0.332548 |
| CDC | 0.338167 |
| Human E. coli | 0.707677 |
| ill | 0.331779 |
| O157 Infections Associated | 0.603739 |
| number | 0.327975 |
| persons | 0.327935 |
| Illnesses | 0.330077 |
| person | 0.326684 |
|
| H7 Infections Associated | 0.662981 |
| Cheese Epi Curve | 0.64928 |
| epidemic curve | 0.464742 |
| chart | 0.357068 |
| E. coli | 0.937647 |
| outbreak strain | 0.691721 |
| Multistate Outbreak | 0.564472 |
| Outbreak Investigations | 0.550222 |
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Centers for Disease Control and Prevention |
Html |
en |
Strychnine - NIOSH Pocket Guide to Chemical Hazards |
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| 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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| 6663 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Grand Rounds: Dietary Sodium Reduction - Time for Choice |
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. |
| U.S. food supply | 0.497294 |
| professional health organizations | 0.470473 |
| New York City | 0.670979 |
| sodium intake reduction | 0.713058 |
| sodium reduction | 0.703175 |
| conducts food composition | 0.473908 |
| salt intake | 0.502433 |
| National Salt Reduction | 0.467478 |
| daily sodium intake | 0.667624 |
| critical public health | 0.485829 |
| blood pressure | 0.570183 |
| sodium content | 0.819185 |
| feasible sodium reduction | 0.622005 |
| U.S. dietary sodium | 0.631633 |
| food supply | 0.531695 |
| essential food processing | 0.476361 |
| Excess dietary sodium | 0.660301 |
| sodium values | 0.642813 |
| sodium consumption | 0.597769 |
| sodium intake | 0.971779 |
| Reduce Sodium Intake | 0.687528 |
| United States | 0.565825 |
| dietary sodium | 0.695487 |
| major contributor | 0.46778 |
| dietary sodium reduction | 0.650962 |
|
| blood pressure levels | 0.468829 |
| food label data | 0.477915 |
| Janelle P. Gunn | 0.491974 |
| restaurant foods | 0.488291 |
| population sodium intake | 0.674359 |
| Current dietary guidelines | 0.468077 |
| dietary intake | 0.512013 |
| food industry participation | 0.480105 |
| food industry | 0.511334 |
| urgent public health | 0.467162 |
| public health | 0.552152 |
| American Public Health | 0.478551 |
| CDC Grand Rounds | 0.512418 |
| sodium levels | 0.596815 |
| York City Health | 0.476683 |
| retail food standards | 0.473246 |
| U.S. adults | 0.605319 |
| lower sodium products | 0.630906 |
| sodium reduction-related activities.¶¶ | 0.5985 |
| public health problem | 0.471923 |
| high blood pressure | 0.561516 |
| major U.S. city | 0.475882 |
| restaurant food categories | 0.477718 |
| public health science | 0.485083 |
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Centers for Disease Control and Prevention |
Html |
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Children with neurologic disorders at high risk of death from flu - Press Release |
West Nile virus disease cases up this year |
| Pediatrics | 0.271851 |
| American Academy | 0.679177 |
| influenza-associated pediatric deaths | 0.290321 |
| neurologic disorder | 0.28664 |
| children | 0.602388 |
| Dr. Thomas R. | 0.260065 |
| additional high risk | 0.281758 |
| neurologic disorders | 0.781483 |
| Families Fighting Flu | 0.936958 |
| flu illness | 0.350408 |
| primary care clinicians | 0.268812 |
| commonly reported complications | 0.29655 |
| annual influenza vaccination | 0.35948 |
| medical conditions | 0.257756 |
| high risk | 0.417113 |
| special health care | 0.379382 |
| influenza prevention | 0.36515 |
| Family Voices representatives | 0.273541 |
| health protection agency | 0.267259 |
| influenza advocacy groups | 0.464858 |
| health care needs | 0.380015 |
| influenza | 0.561413 |
| pediatric medical subspecialists | 0.259643 |
| flu prevention | 0.382872 |
| H1N1 pandemic | 0.310992 |
|
| flu complications | 0.425726 |
| Family Voices Board | 0.288287 |
| CDC’s Influenza | 0.355313 |
| seasonal influenza vaccine | 0.366732 |
| Flu vaccine | 0.353944 |
| local health departments | 0.298358 |
| health care | 0.559679 |
| Dr. Lyn Finelli | 0.267984 |
| Dr. Georgina Peacock | 0.267333 |
| flu seasons | 0.402671 |
| underlying health conditions | 0.296543 |
| organization supporting families | 0.285425 |
| influenza vaccination | 0.446858 |
| high risk children | 0.340373 |
| severe outcomes | 0.264097 |
| influenza complications | 0.327296 |
| disproportionately high number | 0.296879 |
| H1N1 virus infection | 0.280714 |
| health care practitioners | 0.280862 |
| primary care pediatricians | 0.262261 |
| pediatric deaths | 0.454252 |
| outbreak response team | 0.262525 |
| Family Voices | 0.788157 |
| flu season | 0.35892 |
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Centers for Disease Control and Prevention |
Html |
en |
PanFlu Storybook - I Survived, Elmer Kretzschmar |
I Survived, The staggering statistics associated with pandemics sometimes makes it difficult to remember that each number represents a single, human life. In this section, survivors share their intimate recollections of either their own illness or that of a loved one. All these storytellers are 90-plus years of age and they have carried with them for a lifetime their memories of the 1918 flu pandemic. |
| shoe store | 0.620329 |
| navigation Skip | 0.79909 |
| Clarence | 0.452413 |
| mother | 0.438682 |
| fondest memories | 0.644623 |
| school | 0.437752 |
| Storyteller | 0.454317 |
| nurse | 0.489191 |
| father Otto Kretzschmar | 0.875972 |
| Christmas programs | 0.605754 |
| list Skip | 0.797439 |
| San Antonio | 0.622021 |
| page options Skip | 0.993552 |
|
| flu | 0.514116 |
| Charles City | 0.595575 |
| home | 0.453308 |
| Iowa | 0.517498 |
| violinist | 0.449849 |
| Texas | 0.439248 |
| homemaker | 0.467905 |
| Minnie | 0.456984 |
| earache | 0.476223 |
| Strawberry Point | 0.627684 |
| brother | 0.441831 |
| Elmer Kretzschmar | 0.648925 |
| Location | 0.441651 |
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Centers for Disease Control and Prevention |
Html |
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Immediately Dangerous to Life or Health Concentrations(IDLH): Benzene - NIOSH Publications and Products |
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| exposure guidance levels | 0.674727 |
| Spector WS | 0.463232 |
| ppm TWA | 0.786668 |
| continuous exposure guidance | 0.556081 |
| short-term exposure | 0.522888 |
| narcotic effect | 0.46235 |
| Moderne gewerbliche vergiftungen | 0.51879 |
| Elsevier Publishing Company | 0.512937 |
| Shaffer CB | 0.464211 |
| Exp Pathol Pharmakol | 0.516924 |
| CAS number | 0.479136 |
| Ind Hyg Toxicol | 0.516682 |
| OSHA carcinogen policy | 0.575127 |
| Patty FA | 0.463641 |
| Carpenter CP | 0.462877 |
| Pharmacological-toxicological aspects | 0.46276 |
| ppm STEL | 0.769893 |
| ACGIH TLV | 0.485551 |
| W.B. Saunders Co. | 0.510679 |
| aromatic odor | 0.474842 |
| aromatic hydrocarbons | 0.467509 |
| Weil CS | 0.464536 |
| Emergency Exposure Guidance | 0.577094 |
| Gerarde HW | 0.468515 |
|
| 24-hour EEGL | 0.468603 |
| ethylene oxide | 0.462828 |
| Lethal concentration data | 0.523887 |
| Acute toxicities | 0.462186 |
| single exposure | 0.52487 |
| Smyth HF Jr | 0.518102 |
| Flury | 0.460877 |
| modern industry | 0.462683 |
| human data | 0.468885 |
| potential occupational carcinogen | 0.55907 |
| toxicology | 0.481682 |
| New York | 0.518702 |
| pharmakologisch-toxikologischer hinsicht | 0.462798 |
| NIOSH REL | 0.496196 |
| 1-hour EEGL | 0.476098 |
| National Research Council | 0.630592 |
| ppm | 0.90029 |
| light-yellow liquid | 0.46661 |
| Environmental Health Hazards | 0.509672 |
| current PEL | 0.504495 |
| benzene | 0.472779 |
| Tab Biol | 0.464472 |
| IDLH | 0.462707 |
| inhalation toxicity data | 0.527354 |
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Html |
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Vaccines: VPD-VAC/HepB/Perinatal Coordinators |
Hepatitis B: States Perinatal Coordinator List |
| DPHHS Immunization Program | 0.499053 |
| Perinatal Hepatitis | 0.972856 |
| Hepatitis Coordinator | 0.496875 |
| Immunization Program | 0.829699 |
| Human Services | 0.49328 |
| Hepatitis B Program | 0.488977 |
| P.O. Box | 0.523206 |
| Immunization Nurse Manager | 0.485807 |
| Department | 0.535288 |
| Kentucky Immunization Program | 0.515895 |
| Disease Control | 0.481673 |
| Public Health Informatics | 0.495333 |
| Coordinator Perinatal Hepatitis | 0.558641 |
| Adult Immunization Coordinator | 0.510953 |
| fax | 0.716487 |
| Hawaii Immunization Branch | 0.483954 |
| Public Health Nurse | 0.518064 |
| Palau Immunization Program | 0.494484 |
| Prevention Program Coordinator | 0.530081 |
| Immunizations Perinatal Hepatitis | 0.50242 |
| Community Health Nurse | 0.478808 |
| Public Health Services | 0.481676 |
| State Department | 0.485877 |
| County Immunization Program | 0.508401 |
| Immunization Program Director | 0.503384 |
|
| Immunization Epidemiologist | 0.480905 |
| Immunization Branch | 0.505706 |
| RN | 0.537375 |
| National Immunization Program | 0.50243 |
| Hepatitis B Coordinator | 0.758566 |
| Public Health | 0.759686 |
| Hepatitis Program Manager | 0.494853 |
| Immunization Division | 0.50357 |
| NH Immunization Program | 0.496249 |
| Utah Immunization Program | 0.492478 |
| Health Program Representative | 0.480526 |
| Coordinator Resource Center | 0.497143 |
| Phone | 0.668762 |
| secondary contact | 0.54688 |
| street | 0.486062 |
| Immunization Program Services | 0.500908 |
| Program Phone | 0.491165 |
| Public Health Program | 0.498694 |
| Hepatitis B Prevention | 0.592007 |
| PO Box | 0.488873 |
| Health Nurse Coordinator | 0.526493 |
| Public Health Division | 0.480905 |
| fax number | 0.499178 |
| Hepatitis Prevention Manager | 0.479624 |
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Centers for Disease Control and Prevention |
Html |
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Assessing Laboratory Risk Level and PEP | Brucellosis |
Assessing laboratory risk level for brucellosis infection. |
| potential Brucella exposure | 0.560894 |
| ft. radius | 0.362928 |
| CDC | 0.225963 |
| distance | 0.225797 |
| self fever check | 0.719378 |
| baseline serum samples | 0.460405 |
| symptom watch | 0.677772 |
| serological monitoring | 0.519722 |
| post exposure | 0.656979 |
| culture plate | 0.367118 |
| daily self fever | 0.877044 |
| high risk exposures | 0.56727 |
| manipulation | 0.225779 |
| affected workers | 0.331092 |
|
| pre-exposure stored specimens | 0.452844 |
| open bench | 0.349168 |
| sequential serologic testing | 0.905748 |
| RB51 | 0.251461 |
| Determine number | 0.338684 |
| B. | 0.251416 |
| persons | 0.250135 |
| Person performing activity | 0.493616 |
| low-risk exposures | 0.563595 |
| self fever checks | 0.456167 |
| state public health | 0.449233 |
| laboratory room | 0.342903 |
| PEP | 0.230265 |
| agglutination tests | 0.354119 |
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Centers for Disease Control and Prevention |
Html |
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Facts, Figures & Registry of Recognized Organizations | NDPP | Diabetes |
National Diabetes Prevention Program |
| New | 0.414278 |
| key activities | 0.479738 |
| United States | 0.558225 |
| type | 0.463905 |
| toll | 0.416309 |
| National DPP | 0.953007 |
| burden | 0.421051 |
| Section… | 0.416202 |
| area—that | 0.414341 |
| change programs | 0.48119 |
| National Diabetes Prevention | 0.680276 |
| CDC-recognized lifestyle change | 0.688615 |
| 5.31MB | 0.413723 |
| prediabetes | 0.438524 |
|
| impact | 0.416053 |
| National Diabetes Statistics | 0.64187 |
| lifestyle change program | 0.541304 |
| offer CDC-recognized lifestyle | 0.554412 |
| Registry | 0.414691 |
| list | 0.414388 |
| Facts | 0.413885 |
| efforts | 0.413525 |
| health problems | 0.495848 |
| Diabetes Prevention Program | 0.775201 |
| Prevention Program report | 0.533875 |
| national prevention effort | 0.558436 |
| Recognized Organizations | 0.487145 |
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