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Centers for Disease Control and Prevention |
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Healthy Pets Healthy People | CDC Features |
There are many positive benefits of owning a pet; however, it's important to know that some animals may carry germs that can be spread to people and cause illness. |
| pets | 0.698885 |
| litter box daily | 0.377139 |
| health care provider | 0.556257 |
| Bite Prevention site | 0.37605 |
| wild animals | 0.366493 |
| current pet cat | 0.468798 |
| pregnant women | 0.776835 |
| immune systems | 0.40665 |
| young children | 0.488846 |
| animals | 0.464134 |
| lymphocytic choriomeningitis virus | 0.382852 |
| pet | 0.966762 |
| life-long veterinary care | 0.390853 |
| good pet health | 0.444759 |
| Regular veterinary visits | 0.374814 |
| animal exhibits | 0.364871 |
| Clean Hands site | 0.397674 |
| specific needs | 0.410833 |
| pet need | 0.44301 |
| animal | 0.389895 |
| veterinary care | 0.501633 |
| Animals site | 0.364571 |
| health benefits | 0.321792 |
| healthy family | 0.359288 |
| American Veterinary Medical | 0.373849 |
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| cat litter box | 0.407473 |
| harmful germs | 0.439577 |
| Medscape Video Commentary | 0.371447 |
| litter box | 0.656461 |
| healthy pets | 0.461613 |
| healthy pet | 0.419759 |
| pet eat | 0.45287 |
| local wildlife rehabilitation | 0.369815 |
| Pets Healthy People | 0.47359 |
| best pet | 0.365797 |
| CDC recommendations | 0.334794 |
| hand washing | 0.618824 |
| Visit CDC | 0.561717 |
| cat feces | 0.326595 |
| people | 0.576915 |
| birth defects | 0.406399 |
| Toxoplasmosis fact sheet | 0.379283 |
| Dog feces | 0.320292 |
| Cover sand boxes | 0.368413 |
| Stay Healthy | 0.348943 |
| right pet | 0.443313 |
| information | 0.382258 |
| new pet | 0.381308 |
| pet rodents | 0.370467 |
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Centers for Disease Control and Prevention |
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Postpartum screening for diabetes among women with a history of gestational diabetes mellitus. |
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| early postpartum period | 0.472184 |
| subsequent diabetes | 0.451805 |
| diabetes referral clinic | 0.485163 |
| postpartum screening rates | 0.577367 |
| 6-week postpartum visit | 0.452608 |
| GDM | 0.470716 |
| gestational diabetes mellitus | 0.943083 |
| L. American Diabetes | 0.445552 |
| undiagnosed diabetes | 0.465127 |
| Australian postpartum women | 0.461537 |
| diabetes postpartum | 0.55082 |
| postpartum screening tests | 0.461661 |
| simulated postpartum screening | 0.47278 |
| Australian gestational diabetes | 0.476778 |
| prior gestational diabetes | 0.475562 |
| abnormal glucose tolerance | 0.442229 |
| postpartum period | 0.475023 |
| diabetes screening rates | 0.533633 |
| diabetes mellitus screening | 0.52147 |
| 3-month postpartum glucose | 0.445023 |
| postpartum glucose testing | 0.46812 |
| G. Diabetes risk | 0.45241 |
| diabetes mellitus-affected pregnancy | 0.457903 |
| women | 0.670874 |
| Diabetes Association recommend | 0.466196 |
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| Diabetes Prevention Program | 0.477557 |
| overt diabetes mellitus | 0.506028 |
| postpartum diabetes screening | 0.671161 |
| postpartum women | 0.507473 |
| postpartum screening strategies | 0.456356 |
| postpartum glucose screening | 0.541021 |
| abnormal glucose | 0.461264 |
| recent gestational diabetes | 0.485895 |
| gestational diabetes pregnancy | 0.49301 |
| rural postpartum women | 0.443345 |
| total diabetes prevalence | 0.477026 |
| glucose tolerance | 0.577464 |
| Canadian diabetes referral | 0.456888 |
| postpartum Papanicolaou screening | 0.479089 |
| postpartum glucose tolerance | 0.462682 |
| postpartum glycemic screening | 0.480122 |
| Diabetes Res Clin | 0.519285 |
| Diabetes Care | 0.638018 |
| Diabetes Obes Metab | 0.447466 |
| early postpartum screening | 0.478824 |
| et al | 0.490076 |
| American Diabetes Association | 0.573443 |
| postpartum screening | 0.777525 |
| Australian Diabetes | 0.45376 |
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Centers for Disease Control and Prevention |
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Global Health - Zambia |
The Centers for Disease Control and Prevention (CDC)/ Division of Global HIV/AIDS Zambia office was launched in December 2000 and has worked with the Government of the Republic of Zambia (GRZ) ministries and provincial health offices to support the national strategy to combat HIV/AIDS. |
| MOH staff capacity | 0.86878 |
| HIV prevention | 0.920877 |
| national HIV program | 0.884693 |
| Workforce development efforts | 0.759314 |
| CDC technical experts | 0.876456 |
| University Teaching Hospital | 0.747253 |
| CDC Zambia office | 0.993844 |
| HIV treatment services | 0.86582 |
| improved program performance | 0.773489 |
| voluntary medical male | 0.896585 |
| public health surveillance | 0.81901 |
| provincial health offices | 0.827853 |
| new treatment policy | 0.761179 |
| clinical training programs | 0.761427 |
| malaria-free Zambia | 0.797309 |
| cervical cancer screening | 0.755071 |
| community-based training program | 0.767453 |
| maternal health | 0.742408 |
| cervical cancer | 0.840625 |
| Public Health Initiative | 0.794977 |
| scale-up HIV prevention | 0.865167 |
| rapid diagnostic tests | 0.750278 |
| Nurse Prescriber program | 0.767888 |
| medical male circumcision | 0.903751 |
| community health promotion | 0.786145 |
|
| electronic health information | 0.809666 |
| national-level business process | 0.757407 |
| PEPFAR Zambia-supported HIV-infected | 0.760225 |
| U.S. President | 0.750962 |
| Zambia School | 0.801926 |
| National Public Health | 0.819436 |
| technical support | 0.758925 |
| health information systems | 0.93181 |
| Health Press | 0.766196 |
| health services | 0.768248 |
| National Malaria Strategic | 0.789999 |
| public health | 0.963713 |
| HIV clinical services | 0.838524 |
| Cervical Cancer Prevention | 0.783324 |
| MOH | 0.914249 |
| public health programs | 0.852471 |
| maximum health impact | 0.804264 |
| new HIV medicine | 0.826967 |
| Zambia disease surveillance | 0.876959 |
| local epidemic | 0.763192 |
| Zambia public health | 0.961677 |
| TB/ HIV service | 0.833931 |
| national program efforts | 0.809178 |
| comprehensive prevention strategy | 0.789157 |
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Selecting Viruses for the Seasonal Influenza Vaccine |
Selecting Viruses for the Seasonal Influenza Vaccine - CDC |
| national influenza centers | 0.382166 |
| influenza virus samples | 0.334125 |
| vaccine production | 0.489897 |
| flu vaccine production | 0.382496 |
| influenza vaccine viruses | 0.63807 |
| CDC’s Influenza | 0.296583 |
| vaccine viruses | 0.973638 |
| seasonal vaccine virus | 0.379115 |
| representative viruses | 0.315206 |
| upcoming flu season | 0.230109 |
| seasonal influenza vaccine | 0.507656 |
| candidate vaccine virus | 0.38176 |
| Flu viruses | 0.360229 |
| key national laboratories | 0.262363 |
| influenza season | 0.256602 |
| vaccine virus selection | 0.496556 |
| vaccine production challenging | 0.373167 |
| upcoming season | 0.267913 |
| World Health Organization | 0.260922 |
|
| influenza vaccines | 0.310042 |
| influenza activity | 0.247373 |
| candidate vaccine viruses | 0.604451 |
| vaccine composition | 0.370146 |
| good vaccine virus | 0.471046 |
| suitable vaccine virus | 0.387059 |
| seasonal flu vaccine | 0.4115 |
| Influenza Division | 0.317636 |
| certain influenza viruses | 0.442829 |
| Collaborating Centers | 0.321705 |
| influenza viruses | 0.727922 |
| available vaccine viruses | 0.58002 |
| Vaccine Effectiveness | 0.318644 |
| essential regulatory laboratories | 0.261641 |
| specific vaccine viruses | 0.554294 |
| influenza viruses research | 0.502517 |
| season’s vaccine | 0.452981 |
| Flu Vaccine Work | 0.379302 |
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| 7230 |
Centers for Disease Control and Prevention |
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"Be Brave" - A Gynecologic Cancer Survivor's Story |
This public service announcement from CDC's Inside Knowledge: Get the Facts About Gynecologic Cancer campaign, features gynecologic cancer survivor Jenny Allen. A mother, writer, and performer, she tells her story about noticing symptoms, being diagnosed with uterine and ovarian cancers, and getting treatment. She urges women to pay attention to their bodies and see a doctor if they have symptoms that last two weeks or longer.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at http://streaming.cdc.gov/vod.php?id=1e386b714fdd304b008b9bed40cd202520110413105330522 |
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| Gynecologic Cancer Survivor | 0.948745 |
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Centers for Disease Control and Prevention |
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Infant Death Due to Heart Defects Key Findings - NCBDDD CDC - Features |
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| common type | 0.350828 |
| Mortality Weekly Report | 0.486791 |
| infant death | 0.44446 |
| preterm | 0.342832 |
| Racial Differences | 0.408022 |
| CDC study | 0.360237 |
| Prevention Study | 0.346014 |
| National Birth Defects | 0.458555 |
| unique collaboration | 0.342353 |
| neonatal period | 0.360304 |
| risk factors | 0.37986 |
| new study | 0.356874 |
| researchers | 0.318118 |
| pregnancy | 0.317649 |
| Gestational Age | 0.405948 |
| article | 0.31935 |
| congenital heart defect | 0.519484 |
| prevention strategies | 0.344515 |
| death rates | 0.381954 |
| prevention opportunities | 0.345385 |
| largest population-based effort | 0.389002 |
| congenital heart defects | 0.997756 |
| study | 0.360471 |
| disease tracking | 0.345724 |
| CDC. Racial Differences | 0.393154 |
|
| Health Consortium | 0.342022 |
| United States | 0.49251 |
| babies | 0.361548 |
| visit www.cdc.gov/ncbddd | 0.345201 |
| public health approach | 0.383409 |
| technical assistance | 0.34489 |
| causes | 0.31769 |
| studies | 0.316306 |
| term | 0.318963 |
| prenatal diagnosis | 0.347201 |
| death certificates | 0.351449 |
| public health | 0.391242 |
| Congenital Heart Public | 0.441925 |
| lifelong disability | 0.354614 |
| study regions | 0.344792 |
| important risk factors | 0.378088 |
| Population-based means | 0.35003 |
| birth defects | 0.582846 |
| white infants | 0.393895 |
| Morbidity | 0.324382 |
| important clues | 0.345322 |
| neonatal mortality | 0.363136 |
| baby | 0.31814 |
| black infants | 0.393966 |
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Centers for Disease Control and Prevention |
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Poor Antibiotic Prescribing Putting Hospital Patients at Risk for Deadly Infections | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| hospitals | 0.447104 |
| Mortality Weekly Report | 0.536733 |
| similar areas | 0.427736 |
| upcoming Transatlantic Taskforce | 0.509762 |
| Disease Control | 0.427761 |
| health care-associated infections | 0.666725 |
| CDC journal Morbidity | 0.622673 |
| deadly infections | 0.610883 |
| prescriptions | 0.432739 |
| CDC Director Tom | 0.6439 |
| Clostridium difficile | 0.434516 |
| new Vital Signs | 0.579908 |
| fewer cases | 0.438978 |
| antibiotic stewardship program | 0.680635 |
| Health care facilities | 0.536202 |
| in-depth implementation document | 0.508183 |
| drug-resistant Staphylococcus bacteria | 0.528091 |
| deadly diarrhea infections | 0.762517 |
| CDC medical epidemiologist | 0.618439 |
| drug resistance | 0.450599 |
| lung infections | 0.579891 |
| antibiotics | 0.642619 |
| deadly diarrheal infections | 0.727556 |
| future super-resistant infections | 0.698519 |
| prime patients | 0.435743 |
|
| Vital Signs | 0.961585 |
| hospital stay | 0.42397 |
| hospital clinicians | 0.458389 |
| vehicle passenger safety | 0.507804 |
| healthcare-associated infections | 0.573063 |
| Prevention shows | 0.431984 |
| Healthcare Quality Promotion | 0.502283 |
| prescription drug overdose | 0.513122 |
| National Healthcare Safety | 0.520006 |
| antibiotic stewardship programs | 0.656452 |
| Antibiotic Rx | 0.605876 |
| key health indicators | 0.511433 |
| Vital Signs report | 0.949877 |
| percent reduction | 0.425916 |
| practical tools | 0.524718 |
| antibiotic stewardship | 0.786896 |
| common drug vancomycin | 0.553376 |
| high-risk antibiotics | 0.579006 |
| Arjun Srinivasan | 0.42474 |
| Antimicrobial Resistance | 0.430946 |
| urinary tract infections | 0.90967 |
| CDC Vital Signs | 0.730119 |
| CDC report | 0.553531 |
| Antibiotic Resistance Threats | 0.652059 |
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Airport Exit and Entry Screening for Ebola - August-November10, 2014 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| Public Health Emergency | 0.48874 |
| public health guidance | 0.475406 |
| public health authorities | 0.697014 |
| Ebola symptoms | 0.574673 |
| Ebola outbreak | 0.594071 |
| public health departments | 0.487058 |
| medical evaluation | 0.505932 |
| unexplained febrile illness | 0.500585 |
| ill persons | 0.479101 |
| risk category | 0.483246 |
| symptomatic travelers | 0.509926 |
| contact information | 0.530463 |
| World Health Organization | 0.481042 |
| International Airport | 0.498433 |
| public health officers | 0.562541 |
| public health education | 0.480478 |
| countries | 0.522441 |
| travelers | 0.700254 |
| ill travelers | 0.605921 |
| persons | 0.521063 |
| Ebola travelers | 0.607738 |
| high risk | 0.530526 |
| exit screening activities | 0.507998 |
| Ebola patients | 0.568817 |
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| International Health Regulations | 0.483896 |
| manage Ebola cases | 0.591452 |
| Ebola virus disease | 0.60937 |
| Ebola epidemic | 0.550667 |
| appropriate public health | 0.481599 |
| United States | 0.928611 |
| exit screening procedures | 0.624579 |
| Sierra Leone | 0.539294 |
| entry screening processes | 0.490577 |
| CDC public health | 0.596734 |
| U.S. public health | 0.482576 |
| additional screening measure | 0.482424 |
| health care workers | 0.511805 |
| entry screening | 0.765465 |
| public health | 0.774723 |
| potential Ebola infection | 0.658411 |
| U.S. entry screening | 0.49987 |
| current Ebola outbreak | 0.575634 |
| Effective exit screening | 0.49798 |
| widespread Ebola transmission | 0.957503 |
| Ebola transmission detect | 0.599068 |
| West Africa | 0.484946 |
| Public health risk | 0.492267 |
| exit screening | 0.761981 |
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Centers for Disease Control and Prevention |
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Get Vaccinated: Prevent and Stop Measles Outbreaks (353W x 273H) |
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Centers for Disease Control and Prevention |
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Notes from the Field: Mycobacterium chelonae Eye InfectionsAssociated with Humidifier Use in an Outpatient LASIK Clinic -Ohio, 2015 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| County Health Department | 0.727159 |
| Eric Zgodzinski | 0.627819 |
| LASIK eye surgery | 0.834581 |
| similar humidifier systems | 0.738992 |
| control guidance states | 0.679257 |
| Zoonotic Infectious Diseases | 0.679525 |
| laboratory-confirmed M. chelonae | 0.707384 |
| dry inlet air | 0.69249 |
| eye pain | 0.706733 |
| operating room | 0.805118 |
| Larry Vasko | 0.619393 |
| American National Standards | 0.677628 |
| LASIK surgery | 0.717233 |
| CDC environmental infection | 0.728597 |
| water contamination | 0.618038 |
| air output vents | 0.690974 |
| Heather Moulton-Meissner | 0.614996 |
| vision irregularities | 0.615768 |
| water reservoir | 0.696543 |
| health care facilities | 0.701551 |
| retail humidifiers | 0.711338 |
| health care settings | 0.696809 |
| Samantha Eitniear | 0.618387 |
| Joseph F. Perz | 0.719977 |
| LASIK procedures | 0.983209 |
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| Public Health | 0.765249 |
| United States | 0.619128 |
| 3Toledo-Lucas County Department | 0.687888 |
| reservoir style humidifiers | 0.816552 |
| Pulsed-field gel electrophoresis | 0.681177 |
| Mycobacterium chelonae | 0.618885 |
| Healthcare Quality Promotion | 0.681876 |
| centralized air handling | 0.691201 |
| internal reservoir | 0.633799 |
| Ohio Department | 0.61627 |
| Air-Conditioning Engineers/American Society | 0.677252 |
| additional LASIK clinics | 0.768237 |
| humidifier isolate | 0.672077 |
| situ keratomileusis | 0.618529 |
| TLCHD staff | 0.710012 |
| air handling units | 0.686875 |
| ventilation guidelines state | 0.67343 |
| David Grossman | 0.619301 |
| ambulatory surgery center | 0.711909 |
| M. chelonae | 0.802097 |
| Alison Laufer Halpin | 0.729482 |
| consumer-grade misting humidifier | 0.780077 |
| 2Epidemic Intelligence Service | 0.681036 |
| operating room environment | 0.688047 |
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