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Are You at High Risk for Serious Illness from Flu? | CDC Features |
Some people are at high risk for serious flu complications, including young children, older people, pregnant women and people with certain health conditions. Flu vaccination and the correct use of flu antiviral medicines are very important for those people. |
| coronary artery disease | 0.272724 |
| body aches | 0.250328 |
| flu activity | 0.470748 |
| seasonal flu vaccines | 0.515855 |
| sickle cell disease | 0.276662 |
| flu antiviral medicines | 0.547941 |
| pregnant women | 0.290153 |
| long-term health problems | 0.278389 |
| congestive heart failure | 0.266705 |
| young children | 0.249944 |
| flu vaccination | 0.751075 |
| intensive care unit | 0.271033 |
| Flu symptoms | 0.502424 |
| stuffy nose | 0.248844 |
| body mass index | 0.271121 |
| new flu shot | 0.497381 |
| chronic steroids | 0.248885 |
| high risk | 0.320284 |
| Yearly flu vaccination | 0.550318 |
| older people | 0.263279 |
| flu illnesses | 0.5176 |
| obstructive pulmonary disease | 0.272999 |
| new flu season | 0.493946 |
| vaccine finder | 0.265188 |
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| chronic health conditions | 0.357255 |
| important preventive tool | 0.27092 |
| children’s risk | 0.247287 |
| chronic lung disease | 0.326806 |
| flu vaccine | 0.814161 |
| certain chronic health | 0.301773 |
| flu complications | 0.529535 |
| certain people | 0.255553 |
| flu-related hospitalizations | 0.263912 |
| possible complications | 0.250704 |
| flu-related complications | 0.263631 |
| certain health conditions | 0.282698 |
| congenital heart disease | 0.272462 |
| sore throat | 0.247796 |
| respiratory system—your nose | 0.284476 |
| spinal cord injury | 0.265933 |
| higher risk | 0.246698 |
| flu seasons | 0.454519 |
| chronic medical condition | 0.27935 |
| flu viruses | 0.472142 |
| people | 0.317212 |
| flu | 0.931264 |
| flu shot | 0.555729 |
| contagious viral infection | 0.283305 |
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Centers for Disease Control and Prevention |
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June 25, 2009: 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 fresh spinach, and find out what you can do to protect yourself and your family. |
| O157 | 0.280521 |
| North Carolina | 0.276922 |
| Oregon | 0.213276 |
| CDC | 0.218327 |
| United States | 0.448359 |
| confirmatory test results | 0.348609 |
| deletions | 0.22149 |
| Maine | 0.213573 |
| Oklahoma | 0.213305 |
| numbers | 0.213494 |
| South Carolina | 0.275522 |
| advanced DNA test | 0.357182 |
| number | 0.21396 |
| Eating Raw Refrigerated | 0.368791 |
| Colorado | 0.213835 |
| Massachusetts | 0.21363 |
| Missouri | 0.213521 |
| ill persons | 0.283724 |
| E. coli | 0.913767 |
| outbreak strain | 0.763088 |
| Arizona | 0.213892 |
| H7 Live | 0.573724 |
| Outbreak Investigations | 0.380138 |
| Nevada | 0.213362 |
|
| Changes | 0.213512 |
| newly reported cases | 0.35205 |
| Montana | 0.213493 |
| confirmatory DNA test | 0.344684 |
| Prepackaged Cookie Dough | 0.377918 |
| Kentucky | 0.213658 |
| Minnesota | 0.21355 |
| California | 0.213858 |
| Delaware | 0.213778 |
| particular DNA fingerprint | 0.364585 |
| New Jersey | 0.276532 |
| Pennsylvania | 0.213248 |
| persons | 0.298428 |
| previous reports | 0.279157 |
| Iowa | 0.213715 |
| Thursday | 0.213866 |
| Illinois | 0.213692 |
| New Hampshire | 0.276727 |
| Connecticut | 0.213806 |
| Ohio | 0.213327 |
| Georgia | 0.213749 |
| Maryland | 0.213607 |
| Multistate Outbreak | 0.387909 |
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CDC - Chagas Disease - Blood Screening FAQs |
Blood screening fact sheet regarding Chagas Disease. |
| needles | 0.30643 |
| general information | 0.329435 |
| United States Blood | 0.399304 |
| United States | 0.411278 |
| Yes. The blood | 0.330571 |
| health care provider | 0.500514 |
| Vector-borne Transmission | 0.364262 |
| potentially infectious blood | 0.360844 |
| blood tests | 0.349836 |
| Drug Administration | 0.333502 |
| sensitive tests | 0.329511 |
| substitute | 0.306238 |
| United States Trypanosoma | 0.410456 |
| false-positive result | 0.354207 |
| self-diagnosis | 0.306925 |
| Probably. | 0.306788 |
| Evidence | 0.313248 |
| Yes. The disease | 0.331024 |
| cruzi Infection Study | 0.416753 |
| Yes. Most donors | 0.329482 |
| Yes. Chagas disease | 0.427605 |
| Food | 0.306747 |
| blood transfusion | 0.340973 |
| blood banks | 0.384505 |
|
| organs | 0.305973 |
| blood bank | 0.349099 |
| Sterile procedures | 0.330613 |
| Chagas disease infection | 0.42378 |
| testing | 0.306312 |
| Parasite | 0.314757 |
| organ transplant | 0.326874 |
| equipment | 0.306124 |
| potential risk | 0.326817 |
| No. | 0.318963 |
| blood | 0.532154 |
| Trypanosoma cruzi Infection | 0.419921 |
| people | 0.306686 |
| initial test | 0.329497 |
| States Blood Donors | 0.402507 |
| Congenital Transmission | 0.36243 |
| chagas disease | 0.908171 |
| blood supply | 0.357772 |
| screening test | 0.335262 |
| person | 0.325735 |
| parasitic infection | 0.329043 |
| false-positive results | 0.328505 |
| consultation | 0.306 |
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Centers for Disease Control and Prevention |
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2-Isopropoxyethanol - 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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Vaccine - Yellow Fever |
Who should be vaccinated for Yellow fever? |
| South America | 0.239365 |
| YF-Vax | 0.223615 |
| CDC’s Travelers | 0.248356 |
| specific country requirements | 0.265049 |
| Healthcare Providers | 0.234237 |
| areas | 0.206885 |
| Health Yellow Fever | 0.375408 |
| low-grade fevers | 0.241367 |
| yellow fever virus | 0.381126 |
| trip | 0.206341 |
| yellow fever vaccine | 0.957097 |
| lifelong protection | 0.241443 |
| Additional Vaccine Information | 0.319862 |
| area | 0.206335 |
| live-virus vaccine | 0.311773 |
| Africa | 0.206863 |
| Locations | 0.206653 |
| adverse event | 0.271893 |
| long-lasting protection | 0.238313 |
| travelers | 0.249214 |
| certain countries | 0.276526 |
| life-threatening allergic reaction | 0.265191 |
| entry | 0.206814 |
| booster dose | 0.349831 |
| delays | 0.208269 |
|
| production process | 0.242632 |
| single dose | 0.300043 |
| yellow fever vaccination | 0.566892 |
| United States | 0.242841 |
| Health page | 0.237441 |
| certain people | 0.24117 |
| specific countries | 0.23655 |
| travel health clinic | 0.263152 |
| manufacturer | 0.2075 |
| local health department | 0.269379 |
| vaccination centers | 0.250026 |
| CDC Travelers | 0.249209 |
| muscle aches | 0.238592 |
| headaches | 0.20685 |
| visit Travelers | 0.24509 |
| fever vaccination requirements | 0.34117 |
| disease | 0.211118 |
| Sanofi Pasteur | 0.247901 |
| adverse events | 0.239484 |
| Talk | 0.22013 |
| healthcare provider | 0.299742 |
| risk | 0.228873 |
| decades | 0.207347 |
| certain internal organs | 0.271068 |
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Centers for Disease Control and Prevention |
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Breast Cancer - Health Communication |
Breast Cancer - Gateway to Health Communication - CDC |
| skin cancer | 0.452263 |
| Kathy | 0.449481 |
| country | 0.407564 |
| late menopause | 0.436864 |
| base-line | 0.408284 |
| predisposition | 0.408536 |
| best way | 0.436425 |
| possible genetic link | 0.46055 |
| Family history | 0.436697 |
| mother | 0.412947 |
| breast cancer increases | 0.543301 |
| right breast | 0.500815 |
| American Cancer Society | 0.472009 |
| menstruation | 0.407774 |
| early detection | 0.434235 |
| early-stage breast cancer | 0.538581 |
| health care providers | 0.531359 |
| early age | 0.435141 |
| risk factors | 0.436445 |
| mammography | 0.424844 |
| commonly diagnosed cancer | 0.485699 |
| lobular carcinoma | 0.438188 |
| hormonal therapy | 0.435141 |
| hormone replacement therapy | 0.464311 |
| women | 0.448663 |
|
| woman | 0.459814 |
| mammograms | 0.414639 |
| United States | 0.44168 |
| atypical hyperplasia | 0.439106 |
| treatable stage-an average | 0.470236 |
| breast cancers | 0.502827 |
| small tumor | 0.432891 |
| common cancer | 0.44493 |
| 25-year-old twins | 0.435951 |
| lump | 0.407799 |
| Cellular irregularities | 0.437023 |
| disease | 0.415342 |
| certain cellular changes | 0.464354 |
| breast cancer | 0.959097 |
| clinical breast examination | 0.535284 |
| five-year survival rate | 0.46155 |
| doctor | 0.419171 |
| Casey | 0.432619 |
| risk | 0.502477 |
| Genetic changes | 0.43483 |
| early treatable stage | 0.466448 |
| follow-up radiation therapy | 0.461209 |
| Personal history | 0.436977 |
| Spanish Version | 0.433896 |
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Centers for Disease Control and Prevention |
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Asthma in Women - Health Communication |
Asthma in Women - Gateway to Health Communication - CDC |
| menstrual period | 0.360876 |
| absolute cure | 0.354944 |
| pregnant women | 0.360538 |
| menopause | 0.338047 |
| health professionals | 0.356274 |
| asthma attacks | 0.740906 |
| early morning coughing | 0.404043 |
| pet dander | 0.354939 |
| symptom prevention | 0.357759 |
| tobacco smoke | 0.350792 |
| dust mites | 0.353318 |
| people’s lungs | 0.375137 |
| daily life | 0.351728 |
| asthma | 0.916165 |
| asthma attack | 0.541919 |
| female hormones | 0.354026 |
| exact cause | 0.353816 |
| health problems | 0.352519 |
| menstrual cycle | 0.425893 |
| wood smoke | 0.352957 |
| early morning | 0.418139 |
| fresh air | 0.356527 |
| hormone levels | 0.349792 |
| women | 0.364821 |
| estrogen levels | 0.358644 |
|
| United States | 0.359935 |
| inflammatory response | 0.359291 |
| asthma triggers | 0.745914 |
| chronic lung disease | 0.415699 |
| cockroach droppings | 0.358194 |
| outdoor air pollution | 0.397526 |
| premature birth | 0.3536 |
| poor growth | 0.351957 |
| chest tightness | 0.436249 |
| rescue inhalers | 0.36093 |
| extra challenges | 0.356025 |
| common long-term diseases | 0.401885 |
| male asthma patients | 0.611053 |
| warning signs | 0.356402 |
| higher risk | 0.351874 |
| ongoing medical care | 0.399587 |
| chronic asthma | 0.601329 |
| Hannah | 0.339958 |
| daily maintenance medication | 0.400996 |
| maintenance medications | 0.350024 |
| doctor | 0.335379 |
| scary emergency room | 0.396094 |
| asthma symptoms | 0.559128 |
| entire pregnancy | 0.351619 |
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Preventing Infections in Cancer Patients |
Preventing Infections in Cancer Patients is a comprehensive program focused on providing information, action steps, and tools to help reduce the risk of developing potentially life-threatening infections during chemotherapy treatment. |
| higher risk | 0.469263 |
| blog post | 0.449947 |
| white blood | 0.862129 |
| health tip sheet | 0.731659 |
| cancer patients | 0.676219 |
| neutropenia | 0.233763 |
| Flu Shot | 0.611558 |
|
| White blood cells | 0.808518 |
| blood cell count | 0.880211 |
| condition | 0.224005 |
| main defense | 0.49282 |
| Infection During Chemotherapy | 0.943649 |
| Dr. Lisa Richardson | 0.769576 |
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Centers for Disease Control and Prevention |
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Decontamination for Yourself and Others | Infographic |
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Centers for Disease Control and Prevention |
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This Father's Day, Up Your Health Game | CDC Features |
Each year, more than 1 in 4 men in the United States die from heart disease, making it the leading cause of death for men. Because men of all ages of any race or ethnicity can develop heart disease, it’s important that all men learn their risk and make a game plan to stay healthy and reduce the risk of both heart attack and stroke |
| mental health | 0.710676 |
| Jackson HJ. | 0.450188 |
| BMC Cardiovascular Disorders. | 0.489322 |
| American men—and | 0.462216 |
| National Comorbidity Survey | 0.494475 |
| frustration cause trouble | 0.608802 |
| heart condition | 0.491143 |
| heart problems | 0.574516 |
| major depression | 0.630926 |
| healthy living habits | 0.592814 |
| National Center | 0.487825 |
| blood pressure | 0.543742 |
| mental health treatments | 0.517543 |
| NCHS data brief | 0.495183 |
| heart problem | 0.485726 |
| CNS-peripheral inflammatory interaction | 0.486482 |
| blood vessels | 0.452445 |
| daily life | 0.513708 |
| adult men | 0.481932 |
| American Heart Association | 0.574238 |
| symptoms | 0.476136 |
| Health Statistics | 0.467971 |
| poorer quality | 0.450504 |
| physical health | 0.466169 |
|
| long term | 0.45349 |
| healthy habits | 0.455602 |
| Martin LA | 0.450454 |
| heart health | 0.648694 |
| Marchal Y. Exercise | 0.488072 |
| high blood | 0.459076 |
| Ziegelstein RC. | 0.452319 |
| certain behaviors | 0.45275 |
| good news | 0.455377 |
| Disabil Rehabil | 0.4508 |
| Health Statistics. | 0.46722 |
| heart disease | 0.842084 |
| Blaha MJ | 0.45171 |
| special diet | 0.450655 |
| National Institute | 0.451601 |
| longer men | 0.470861 |
| different symptoms | 0.46145 |
| men vs women | 0.508216 |
| ethnic disparities | 0.502165 |
| certain hormones | 0.453007 |
| Acute experimental changes | 0.487858 |
| physical activity | 0.545594 |
| central opioid neurotransmission | 0.494398 |
| Blumberg SJ | 0.451345 |
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