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Centers for Disease Control and Prevention |
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H1N1 Presentation for Immunization Update 2010 |
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| H1N1 influenza vaccine | 0.614018 |
| vaccine program | 0.372257 |
| monovalent H1N1 vaccine | 0.472846 |
| potential health problems | 0.263501 |
| vaccine demand | 0.36378 |
| vaccine distribution | 0.45064 |
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| high public awareness | 0.257265 |
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| public health guidance | 0.300017 |
| pandemic H1N1 disease | 0.423647 |
| pandemic H1N1 influenza | 0.772674 |
| Vaccine Treatment | 0.399324 |
| commercial supply chain | 0.237958 |
| health care personnel | 0.356724 |
| broad public service | 0.257977 |
| ample vaccine supply | 0.423615 |
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| influenza vaccine | 0.804134 |
| novel influenza virus | 0.398558 |
| Public health authorities | 0.392718 |
| seasonal influenza | 0.418055 |
| pandemic H1N1 vaccine | 0.598501 |
| vaccine candidate strains | 0.43152 |
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| severe respiratory disease | 0.254634 |
| vaccine supply | 0.45283 |
| mass vaccination efforts | 0.259833 |
| severe disease | 0.242148 |
| public health laboratories | 0.299186 |
| influenza vaccine production | 0.788025 |
| vaccine safety systems | 0.455482 |
| H1N1 influenza virus | 0.400464 |
| new influenza strains | 0.353806 |
| United States | 0.255401 |
| new vaccine development | 0.444808 |
| public health recommendations | 0.284182 |
| candidate virus strains | 0.250135 |
| public health | 0.918452 |
| emergency vaccination program | 0.257842 |
| local public health | 0.306616 |
| vaccine acceptance rates | 0.425716 |
| vaccine | 0.823989 |
| new virus | 0.255063 |
| pandemic influenza vaccines | 0.484395 |
| spray influenza vaccine | 0.535328 |
| pandemic planning | 0.284977 |
| 2009 influenza pandemic | 0.719859 |
| influenza vaccination efforts | 0.360112 |
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Magnesite - 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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Centers for Disease Control and Prevention |
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Remembering SARS - 10 Years Later |
Severe acute respiratory syndrome (SARS) is a viral respiratory illness caused by a coronavirus, called SARS-associated coronavirus (SARS-CoV). |
| South America | 0.365194 |
| CDC | 0.854082 |
| travel alert | 0.430352 |
| global alert | 0.410501 |
| SARS case definition | 0.569373 |
| atypical pneumonia | 0.433679 |
| new coronavirus | 0.363665 |
| Health Alert Notice | 0.465171 |
| North America | 0.365216 |
| sars outbreak | 0.607499 |
| probable SARS infections | 0.576028 |
| National Select Agent | 0.398837 |
| severe form | 0.366497 |
| initial case reports | 0.400775 |
| World Health Organization | 0.42159 |
| probable SARS cases | 0.596578 |
| SARS patient | 0.538136 |
| Severe Acute Respiratory | 0.528533 |
| dozen countries | 0.363904 |
| sars | 0.940654 |
| aerosol-generating procedures | 0.360288 |
| interim laboratory biosafety | 0.414007 |
| global SARS | 0.54124 |
| southern China | 0.372313 |
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| key activities | 0.365681 |
| Hong Kong | 0.521981 |
| United States | 0.731539 |
| CDC issues | 0.832446 |
| SARS incubation periods | 0.576742 |
| infection control precautions | 0.407253 |
| community outreach team | 0.404402 |
| suspect cases | 0.417634 |
| probable SARS | 0.617586 |
| local health departments | 0.416444 |
| U.S. cases | 0.359908 |
| health alert cards | 0.459888 |
| public health | 0.360653 |
| hosts media telebriefing | 0.412108 |
| new probable cases | 0.423181 |
| interim domestic guidelines | 0.411589 |
| CDC laboratory analysis | 0.560597 |
| travel advisory | 0.411798 |
| Acute Respiratory Syndrome | 0.528002 |
| select agent | 0.431837 |
| CDC quarantine staff | 0.553108 |
| guangdong province | 0.428329 |
| mainland China | 0.410584 |
| Canadian health officials | 0.405251 |
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Information for Workers | Lightning |
CDC provides lightning information and steps to protect yourself while working outside or engaging in outdoor recreational activities. |
| average | 0.25313 |
| list Skip | 0.72381 |
| United States | 0.42455 |
| page options Skip | 0.942919 |
| mold | 0.252047 |
| thunder | 0.255266 |
| insects | 0.249259 |
| navigation Skip | 0.731772 |
| disaster | 0.244593 |
| lightning strike injuries | 0.791929 |
| times | 0.241753 |
|
| Illnesses | 0.252101 |
| cleanup | 0.258289 |
| earth | 0.241937 |
| carbon monoxide poisoning | 0.650553 |
| environmental concerns | 0.425608 |
| warning | 0.257512 |
| consequences | 0.256428 |
| risk | 0.239677 |
| animals | 0.237091 |
| family | 0.242511 |
|
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Centers for Disease Control and Prevention |
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Recommendations for Breastfeeding/Infant Feeding in the Context of Ebola |
null |
| Ebola haemorrhagic fever | 0.437557 |
| Infectious Diseases. | 0.364498 |
| Infection Control | 0.337811 |
| Dowell SF | 0.333582 |
| safe ways | 0.333291 |
| Ebola virus transmission | 0.483364 |
| case-by-case basis | 0.338291 |
| death overall3 | 0.334048 |
| breastfeeding mother | 0.394925 |
| infant | 0.362587 |
| ill mother | 0.349917 |
| ebola virus | 0.904023 |
| Bausch DG | 0.333891 |
| Ebola Virus–Positive Mother | 0.453754 |
| lactating woman | 0.337052 |
| resource-limited settings | 0.333563 |
| Emerg Infect Dis. | 0.358302 |
| Obstetric Services | 0.332207 |
| Peacock G. Live | 0.356259 |
| acceptable substitute | 0.335562 |
| Infant Formula | 0.344929 |
| Jamieson DJ | 0.329939 |
| ebola virus disease | 0.578641 |
| body fluids | 0.338346 |
| best choice | 0.336313 |
|
| Vega M-A | 0.333766 |
| symptoms | 0.311876 |
| EVD | 0.378192 |
| different lactating women | 0.359419 |
| high risk | 0.356235 |
| Epub | 0.314563 |
| Towner JS | 0.333555 |
| Twin Babies | 0.329777 |
| Ebola virus infection | 0.572981 |
| United States | 0.331971 |
| infant care | 0.350191 |
| signs | 0.31188 |
| safe alternatives | 0.36898 |
| close contact | 0.447147 |
| decisions | 0.312471 |
| genetic material | 0.366151 |
| known risk | 0.333827 |
| World Health Organization. | 0.356891 |
| bodily fluids | 0.332069 |
| breast milk | 0.610406 |
| Donor breast milk | 0.382551 |
| et al | 0.396149 |
| breastfeeding status | 0.375286 |
| baby | 0.333346 |
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Announcements: National Influenza Vaccination Week -December 7-13, 2014 |
The U.S. Department of Health and Human Services, CDC, state and local health departments, and other health agencies will observe National Influenza Vaccination Week December 7–13, 2014, with educational and promotional activities scheduled across the country. |
| CDC | 0.379324 |
| endorsement | 0.334641 |
| influenza-related complications | 0.379262 |
| Human Services | 0.513872 |
| U.S. Department | 0.510046 |
| MMWR HTML versions | 0.436405 |
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| electronic PDF version | 0.430478 |
| health care personnel | 0.458767 |
| health care professionals | 0.45499 |
| influenza vaccine | 0.579996 |
| greater risk | 0.378406 |
| promotional activities | 0.388559 |
| Additional information | 0.377243 |
| Contact GPO | 0.388489 |
| commercial sources | 0.375809 |
| current prices | 0.372763 |
| season vaccination coverage | 0.516865 |
| annual influenza vaccination | 0.669464 |
| vaccination providers | 0.464615 |
| original paper copy | 0.427452 |
| United States | 0.382337 |
| original MMWR paper | 0.433625 |
| U.S. Government Printing | 0.432297 |
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| Educational materials | 0.377703 |
| certain chronic health | 0.458251 |
| MMWR readers | 0.378336 |
| character translation | 0.371887 |
| Immunization Practices | 0.383505 |
| Advisory Committee | 0.381786 |
| high-risk groups | 0.383464 |
| certain persons | 0.385093 |
| heart disease | 0.379817 |
| National Influenza Vaccination | 0.781815 |
| seasonal influenza vaccine | 0.564653 |
| local health departments | 0.475551 |
| format errors | 0.372468 |
| higher risk | 0.377631 |
| influenza season | 0.48015 |
| typeset documents | 0.375874 |
| trade names | 0.375865 |
| official text | 0.370961 |
| general materials | 0.377572 |
| influenza vaccination | 0.922928 |
| health agencies | 0.404687 |
| non-CDC sites | 0.374736 |
| web tools | 0.378172 |
| electronic conversions | 0.37055 |
|
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Notes from the Field: Listeriosis Associated with StoneFruit - United States, 2014 |
Brendan R. Jackson, MD1, Monique Salter, MPH2, Cheryl Tarr, PhD1, Amanda Conrad, MPH1,3, Emily Harvey4, Lisa Steinbock5, Amy Saupe, MPH6, Alida Sorenson, MPH7, Lee Katz, PhD1, Steven Stroika1, Kelly A. Jackson, MPH1, Heather Carleton, PhD1, Zuzana Kucerova, MD, PhD1, David Melka2, Errol Strain, PhD2, Mickey Parish, PhD2, Rajal K. |
| single nucleotide polymorphism | 0.681525 |
| stone fruit consumption | 0.785671 |
| Brendan R. Jackson | 0.765801 |
| human isolates | 0.721666 |
| WGS results | 0.701987 |
| Zuzana Kucerova | 0.651885 |
| pregnant women | 0.703206 |
| fresh stone fruits | 0.703069 |
| Zoonotic Infectious Diseases | 0.67436 |
| foodborne disease surveillance | 0.682342 |
| Listeria Initiative exposure | 0.690843 |
| packing company | 0.658261 |
| Kelly A. Jackson | 0.691478 |
| Amy Saupe | 0.651106 |
| Listeria monocytogenes | 0.695386 |
| stone fruit | 0.953575 |
| stone fruits | 0.839501 |
| organic nectarine consumption | 0.687468 |
| initial recall | 0.669242 |
| L. monocytogenes | 0.829484 |
| automated telephone calls | 0.683217 |
| Monique Salter | 0.650788 |
| PFGE patterns | 0.680228 |
| internal company testing | 0.702303 |
|
| two-enzyme pulsed-field gel | 0.682951 |
| Minnesota patient | 0.656773 |
| United States | 0.650997 |
| human listeriosis | 0.66375 |
| peaches | 0.660177 |
| Drug Administration | 0.687322 |
| South Carolina | 0.734585 |
| David Melka | 0.650427 |
| shopper card data | 0.755617 |
| Listeriosis Associated | 0.682255 |
| Alida Sorenson | 0.652613 |
| ready-to-eat fresh fruit | 0.699678 |
| recall | 0.683468 |
| possible L. monocytogenes | 0.706381 |
| food exposure interviews | 0.680633 |
| local health departments | 0.685979 |
| Massachusetts patient | 0.659512 |
| Illinois patient | 0.654142 |
| higher risk | 0.670791 |
| whole-genome multilocus sequence | 0.679833 |
| Rajal K. Mody | 0.697779 |
| CDC Listeria website | 0.69717 |
| Northampton Health Department | 0.67901 |
| national molecular subtyping | 0.685583 |
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Opioid Overdose Prevention Programs Providing Naloxone toLaypersons - United States, 2014 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| opioid drug overdose | 0.423422 |
| number | 0.373936 |
| organizations provided naloxone | 0.410381 |
| reduces overdose deaths | 0.393158 |
| prescription opioid analgesics | 0.392876 |
| family members | 0.374914 |
| heroin overdoses | 0.361109 |
| opioid overdose | 0.498448 |
| naloxone kit provision | 0.372639 |
| teaching laypersons | 0.384571 |
| community-based organizations | 0.365062 |
| persons | 0.404025 |
| health care facilities | 0.39735 |
| opioid antagonist naloxone | 0.420002 |
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| survey | 0.365841 |
| Naloxone Network | 0.38375 |
| Naloxone Network members | 0.371071 |
| opioid overdose prevention | 0.489663 |
| overdose prevention services | 0.412514 |
| intranasal naloxone | 0.402471 |
| local sites | 0.40836 |
| overdose reversals | 0.612835 |
| potential overdose bystanders | 0.39278 |
|
| substance use treatment | 0.373813 |
| Veterans Administration health | 0.39316 |
| naloxone distribution programs | 0.372229 |
| international health organizations | 0.366045 |
| naloxone vials | 0.397766 |
| overdose death rates | 0.392554 |
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| Opioid Safety | 0.399486 |
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| health departments | 0.379993 |
| health care | 0.400092 |
| public health | 0.370784 |
| community-based naloxone program | 0.370983 |
| drug overdose deaths | 0.491517 |
| health care systems | 0.394257 |
| Harm Reduction Coalition | 0.430891 |
| injectable naloxone | 0.366412 |
| statewide naloxone programs | 0.380239 |
| service providers | 0.411355 |
| organizations | 0.58741 |
| Administration health care | 0.393005 |
| naloxone kits | 0.943473 |
| laypersons | 0.602237 |
| opioid overdose mortality | 0.440133 |
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Suicide Rates by Occupational Group - 17 States, 2012 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Violent Death Reporting | 0.657646 |
| national Standard Occupational | 0.482243 |
| data | 0.485631 |
| Suicide prevention activities | 0.665956 |
| Census occupation code | 0.533288 |
| mental health | 0.522145 |
| major occupational groups | 0.489718 |
| library occupational group | 0.49162 |
| highest suicide rates | 0.649563 |
| suicide deaths | 0.551117 |
| SOC codes | 0.548897 |
| highest rate | 0.534167 |
| mental health services | 0.505759 |
| potential suicide prevention | 0.542442 |
| Workplace Suicide Prevention | 0.53717 |
| suicide | 0.899123 |
| usual occupation | 0.491576 |
| suicide prevention strategies | 0.678592 |
| forestry occupational group | 0.507441 |
| SOC major groups | 0.453005 |
| different occupational groups | 0.492878 |
| National Suicide Prevention | 0.549431 |
| persons | 0.52483 |
| protective service occupations | 0.62821 |
| suicides | 0.486777 |
|
| Census occupation codes | 0.485274 |
| NVDRS Occupation Title | 0.511021 |
| suicide prevention | 0.88783 |
| occupation text fields | 0.580934 |
| United States | 0.492932 |
| occupation fields | 0.450024 |
| service occupational group | 0.511697 |
| higher suicide risk | 0.526578 |
| SOC code | 0.483535 |
| Current Population Survey | 0.488344 |
| U.S. Census occupation | 0.587533 |
| suicide prevention training | 0.542317 |
| occupation codes | 0.541997 |
| law enforcement | 0.481319 |
| occupational group | 0.907332 |
| Occupation Computerized Coding | 0.492224 |
| suicide prevention efforts | 0.574121 |
| occupational groups | 0.974797 |
| higher suicide rates | 0.629476 |
| Evidence-based suicide prevention | 0.536638 |
| occupation classification | 0.463896 |
| SOC occupational groups | 0.525829 |
| suicide decedent | 0.526106 |
| National Violent Death | 0.652397 |
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Guidance for Travel and Testing of Pregnant Women and Women of Reproductive Age for Zika Virus Infection Related to the Investigation for Local Mosquito-borne Zika Virus Transmission in Miami-Dade and Broward Counties, Florida |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| antibody test results | 0.339051 |
| mosquito-borne Zika virus | 0.411911 |
| limited risk | 0.40119 |
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| ongoing investigation | 0.324288 |
| area | 0.358854 |
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| asymptomatic pregnant women | 0.39747 |
| PM ET | 0.323249 |
| pregnant sex partner | 0.355036 |
|
| non-essential travel | 0.322248 |
| CDC Health Alert | 0.346202 |
| 12 weeks after symptom onset | 0.340418 |
| infected Aedes species | 0.336918 |
| adverse pregnancy outcomes | 0.336164 |
| United States | 0.322392 |
| urine Zika virus | 0.39099 |
| antibody test result | 0.36329 |
| Zika virus infection | 0.532798 |
| Zika virus immunoglobulin | 0.390697 |
| IgM antibody test | 0.445304 |
| potential exposure | 0.336291 |
| acute onset | 0.324764 |
| Florida Department | 0.323776 |
| ongoing risk | 0.416309 |
| guidance (http://www.cdc.gov/mmwr/volumes/65/wr/mm6529e1.htm?s_cid=mm6529e1_e). | 0.394766 |
| rRT-PCR testing | 0.357311 |
| reproductive age | 0.322571 |
| severe fetal brain | 0.336322 |
| possible exposure | 0.474506 |
| earliest time | 0.321952 |
| FL DOH | 0.501989 |
| immediate rRT-PCR testing | 0.336495 |
| Zika virus IgM | 0.400558 |
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