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Overview of a Pandemic - 2009 H1N1 Accomplishments (Part 1 of 3) |
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| CDC | 0.84279 |
| mass quantities | 0.472632 |
| current technological limitations | 0.472443 |
| A/California/7/2009 virus | 0.517721 |
| complete gene sequences | 0.492987 |
| vaccine supplies | 0.56245 |
| rRT-PCR Flu Panel | 0.51174 |
| medical products | 0.496858 |
| Deaths Reporting Activity | 0.512672 |
| CDC laboratory experts | 0.648559 |
| candidate vaccine virus | 0.931856 |
| Section 508-accessible version | 0.520978 |
| influenza virus strain | 0.741067 |
| egg-based manufacturing process | 0.473756 |
| CDC’s laboratories | 0.535511 |
| stand-alone Web document | 0.518452 |
| international public health | 0.498311 |
| H1N1 strain | 0.482327 |
| CDC test kits | 0.645587 |
| vaccine strain | 0.590826 |
| H1N1 vaccine | 0.786788 |
| publicly-accessible international influenza | 0.547959 |
| HI test kits | 0.49497 |
| H1N1 cases | 0.459192 |
| rRT-PCR Swine Flu | 0.518877 |
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| H1N1 outbreak | 0.465652 |
| new surveillance systems | 0.679625 |
| CDC’s Influenza | 0.633739 |
| important laboratory activities | 0.488821 |
| chicken eggs | 0.470087 |
| H1N1 flu | 0.487676 |
| public health emergency | 0.500343 |
| public health | 0.611165 |
| Panel diagnostic test | 0.486492 |
| child care programs | 0.501162 |
| previously manufactured tests | 0.485511 |
| initial laboratory tests | 0.509048 |
| h1n1 virus | 0.951124 |
| syndromic flu-related hospitalizations | 0.552019 |
| H1N1 diagnostic tests | 0.546149 |
| swine flu | 0.537219 |
| seasonal flu vaccine | 0.662141 |
| important medical products | 0.488728 |
| new virus | 0.558337 |
| vaccine candidate virus | 0.774583 |
| influenza viruses | 0.518664 |
| vaccine candidate strain | 0.676299 |
| safe flu vaccines | 0.504369 |
| RT-PCR test kits | 0.499553 |
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Niax® Catalyst ESN - NIOSH Pocket Guide to Chemical Hazards |
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| PDF | 0.261307 |
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| different file formats | 0.938484 |
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New influenza virus discovered in Guatemalan fruit bats - Press Release-New influenza virus discovered in Guatemalan fruit bats February 27, 2012 |
New influenza virus discovered in Guatemalan fruit bats |
| human influenza viruses | 0.734847 |
| CDC’s Influenza | 0.401677 |
| humans. Previous pandemics | 0.234354 |
| emergency response activities | 0.226552 |
| influenza A virus | 0.437176 |
| single host cell | 0.238152 |
| little yellow–shouldered bats | 0.241253 |
| bat influenza virus | 0.57968 |
| Dr. Suxiang Tong | 0.245821 |
| new bat influenza | 0.424977 |
| global disease detection | 0.229451 |
| Pathogen Discovery Program | 0.244842 |
| CDC’s Division | 0.233727 |
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| Influenza related information | 0.395342 |
| new virus | 0.26677 |
| Dr. Ruben Donis | 0.234346 |
| global disease experts | 0.232082 |
| influenza viruses | 0.929865 |
| new influenza viruses | 0.500364 |
| Preliminary CDC research | 0.287368 |
| Bat influenza viruses | 0.48246 |
| United States. CDC | 0.279782 |
| new animal species | 0.25152 |
| health protection agency | 0.230627 |
| human health issue | 0.256987 |
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Tourette Syndrome, Families, Bullying |
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| imbalance | 0.464704 |
| insulting emails | 0.683763 |
| passage | 0.450922 |
| Tourette Syndrome | 0.693024 |
| peers | 0.451439 |
| name-calling | 0.444805 |
| section | 0.48108 |
| StopBullying.gov | 0.444502 |
| children | 0.762263 |
| aggressive behavior | 0.926551 |
| potential | 0.448081 |
| smallest kid | 0.724187 |
| school personnel | 0.654954 |
| social media posts | 0.873668 |
| disability harassment | 0.833885 |
| teasing | 0.468801 |
| additional resources | 0.940043 |
| significantly higher risk | 0.924204 |
| effects | 0.501104 |
| receipt | 0.450231 |
| Individuals | 0.444546 |
| Internet | 0.446873 |
| bullying | 0.816282 |
| problems | 0.447434 |
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| federal laws | 0.644139 |
| abusive behavior | 0.647128 |
| student | 0.477936 |
| adults | 0.495951 |
| normal rites | 0.68095 |
| Education Act | 0.643712 |
| hostile environment | 0.65452 |
| power | 0.448499 |
| class | 0.45632 |
| cell phones | 0.662233 |
| kids | 0.488328 |
| target children | 0.693138 |
| written statements | 0.652923 |
| disabilities | 0.535173 |
| form | 0.447023 |
| texts | 0.446384 |
| conduct | 0.444223 |
| legal right | 0.682098 |
| regulations | 0.444043 |
| nonverbal behavior | 0.659442 |
| information | 0.444612 |
| time | 0.447998 |
| intimidation | 0.465416 |
| verbal acts | 0.655034 |
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Preventing Chronic Disease | Multiple Chronic Conditions Among US Adults Who Visited Physician Offices: Data From the National Ambulatory Medical Care Survey, 2009 - CDC |
Most research on adults with chronic conditions focuses on a single disease or condition, such as hypertension or diabetes, rather than on multiple chronic conditions (MCC). Our study’s objective was to compare physician office visits by adults with MCC with visits by adults without MCC, by selected patient demographic characteristics. |
| demographic characteristics | 0.398485 |
| chronic kidney disease | 0.373986 |
| NAMCS | 0.388213 |
| adults | 0.352683 |
| chronic conditions dyads | 0.381919 |
| frequently occurring dyads | 0.35362 |
| Multiple Chronic Diseases | 0.37421 |
| common MCC dyads | 0.378446 |
| nationally representative survey | 0.364619 |
| triads | 0.356777 |
| multiple chronic conditions | 0.461976 |
| adult visits | 0.435177 |
| visits | 0.892699 |
| number | 0.348092 |
| ambulatory care visits | 0.423108 |
| frequently occurring chronic | 0.394489 |
| adult patients | 0.358297 |
| men | 0.411875 |
| medications | 0.36627 |
| private insurance-for visits | 0.433013 |
| total visits | 0.420439 |
| medicare beneficiaries | 0.357153 |
| private insurance | 0.545718 |
| prevalent chronic condition | 0.40583 |
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| ambulatory medical care | 0.407252 |
| frequent chronic condition | 0.367863 |
| National Ambulatory Medical | 0.373485 |
| estimates | 0.346616 |
| non-Hispanic white adults | 0.345554 |
| common chronic condition | 0.410985 |
| chronic condition | 0.532834 |
| patients | 0.740268 |
| significant sex difference | 0.408741 |
| check boxes | 0.396954 |
| MCC | 0.503617 |
| chronic condition triad | 0.419448 |
| chronic conditions | 0.922406 |
| Medical Care Survey | 0.373175 |
| patient office visits | 0.45614 |
| unweighted visits | 0.431746 |
| public insurance box | 0.347339 |
| patient record forms | 0.390302 |
| hypertension | 0.377677 |
| public insurance | 0.476986 |
| age | 0.350783 |
| physician office visits | 0.74805 |
| medical office visits | 0.457885 |
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Criterios de medición ambiental para mejorar la salud de la comunidad |
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Centers for Disease Control and Prevention |
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Listeriosis - Prevention |
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| raw sprouts | 0.575033 |
| foods | 0.545216 |
| harmful germ | 0.498491 |
| mung bean sprouts | 0.597195 |
| soft cheese | 0.542225 |
| hot dog | 0.475443 |
| pregnant women | 0.962454 |
| ice cream | 0.562237 |
| Avoid Listeria English | 0.61472 |
| Listeria outbreaks | 0.57274 |
| harmful bacteria | 0.611466 |
| hot dogs | 0.617675 |
| Asian food | 0.476607 |
| raw milk | 0.714788 |
| queso fresco | 0.636258 |
| Listeria infections | 0.638599 |
| recent outbreaks | 0.49243 |
| soft cheeses | 0.563412 |
| shelf-stable tuna | 0.493725 |
| queso blanco | 0.511211 |
| Listeria infection | 0.556781 |
| Queso Fresco English | 0.578309 |
| deli meats | 0.632459 |
| room temperature | 0.545044 |
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| lunch meat packages | 0.535825 |
| refrigerated pâté | 0.48513 |
| lunch meats | 0.537118 |
| shelf-stable pâté | 0.494462 |
| immunity | 0.548935 |
| lightly cooked sprouts | 0.60123 |
| products | 0.486798 |
| Recommendations | 0.579653 |
| milk kills | 0.537501 |
| meat spreads | 0.527516 |
| Listeria | 0.726096 |
| deli counters | 0.479661 |
| E. coli | 0.480311 |
| Hispanic-style cheeses | 0.483642 |
| higher risk | 0.820367 |
| humid conditions | 0.482739 |
| Thorough cooking | 0.475926 |
| Rinsing sprouts | 0.531729 |
| unpasteurized milk | 0.606569 |
| Home-grown sprouts | 0.537101 |
| people | 0.656352 |
| unsanitary conditions | 0.484021 |
| older adults | 0.822803 |
| refrigerated smoked seafood | 0.665282 |
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A Closer Look | HIV/AIDS Among Hispanics/Latinos | Learn About HIV/AIDS | We Can Stop HIV One Conversation | Campaigns | Act Against AIDS |
The HIV epidemic is a serious public health issue in the Hispanic/Latino community. |
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Cancer Research |
Scientists in CDC's Division of Cancer Prevention and Control author or co-author many articles that are published in scientific journals each year. You can be notified of new CDC cancer research in several ways. |
| Citation Search Tool | 0.709686 |
| Collection Timeline page | 0.672466 |
| DCPC programs | 0.541506 |
| code | 0.332362 |
| behavioral science | 0.536374 |
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| Subscribe | 0.35605 |
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| different areas | 0.541277 |
| expertise | 0.338557 |
| title | 0.334775 |
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| burden | 0.42213 |
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| epidemiology | 0.343323 |
| national network | 0.51219 |
| health disparities | 0.586078 |
| CDC’s e-mail | 0.628467 |
| health services | 0.55592 |
| publication | 0.334658 |
| studies | 0.339324 |
| Division | 0.339514 |
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| Questions | 0.335186 |
| RSS. | 0.333546 |
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| scientific journals | 0.522186 |
| visit Twitter | 0.50665 |
| DCPC scientists author | 0.712049 |
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| co-author many articles | 0.542397 |
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| CPCRN | 0.334216 |
| medicine | 0.338368 |
| people | 0.338052 |
| CDC’s Cancer | 0.802434 |
| economics | 0.338478 |
| Web page | 0.634402 |
| collaboration | 0.334771 |
| sound science | 0.542992 |
| e-mails | 0.341745 |
| Cancer Prevention | 0.733175 |
| conducts | 0.335006 |
| technical information | 0.500337 |
| public health research | 0.782637 |
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Notes from the Field: Typhoid Fever Outbreak Associated withan Asymptomatic Carrier at a Restaurant - Weld County, Colorado,2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| current restaurant employees | 0.487799 |
| credit card statement | 0.477974 |
| original MMWR paper | 0.469866 |
| symptom onset | 0.506899 |
| typhoid fever | 0.756684 |
| food service staff | 0.485701 |
| food service work | 0.483006 |
| chronic S. Typhi | 0.646753 |
| public health authorities | 0.495789 |
| infected restaurant worker | 0.478884 |
| PFGE outbreak patterns | 0.497104 |
| credit card receipts | 0.62237 |
| S. Typhi infection | 0.821962 |
| clinically compatible illness | 0.472557 |
| common exposure sources | 0.476714 |
| S. Typhi carrier | 0.597899 |
| S. Typhi | 0.941909 |
| Salmonella Typhi infection | 0.617758 |
| ill persons | 0.480297 |
| CDPHE | 0.473432 |
| food service | 0.517239 |
| endemic typhoid fever | 0.511816 |
| social media | 0.477955 |
| public health | 0.698585 |
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| rectal swab specimens | 0.536904 |
| Weld County Department | 0.482514 |
| indistinguishable PFGE patterns | 0.485188 |
| state health laboratory | 0.483836 |
| discernible epidemiologic connection | 0.48426 |
| international travel | 0.522423 |
| Weld Country resident | 0.472518 |
| patients | 0.48131 |
| health alert notification | 0.486107 |
| grocery stores | 0.476278 |
| local public health | 0.548455 |
| shopper card records | 0.47845 |
| fresh produce purchases | 0.470451 |
| 3Weld County Department | 0.470489 |
| state public health | 0.485194 |
| Salmonella National Hypothesis | 0.48164 |
| chronic carrier stools | 0.469459 |
| common restaurant exposures | 0.490113 |
| food handling issues | 0.482087 |
| PFGE outbreak definition | 0.49021 |
| public health laboratories | 0.482126 |
| pulsed-field gel electrophoresis | 0.475071 |
| S. Typhi carriers | 0.576139 |
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