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Shingles Herpes Zoster Prevention Treatment |
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| long-term pain | 0.467877 |
| CDC | 0.330243 |
| Español | 0.345759 |
| Wet | 0.323952 |
| calamine lotion | 0.437837 |
| Vaccination page | 0.448616 |
| antiviral medicines—acyclovir | 0.44363 |
| Analgesics | 0.340167 |
| itching | 0.335527 |
| shingles | 0.963184 |
| PHN | 0.325948 |
| pain medicine | 0.434992 |
| pharmacies | 0.333216 |
| post-herpetic neuralgia | 0.487302 |
| illness | 0.324225 |
| severity | 0.333838 |
|
| Prevención y tratamiento | 0.45217 |
| shingles vaccine | 0.834421 |
| length | 0.325408 |
| doctor’s offices | 0.435356 |
| Talk | 0.323567 |
| people | 0.370807 |
| way | 0.326205 |
| colloidal oatmeal baths | 0.557117 |
| rash | 0.334113 |
| dose | 0.333049 |
| healthcare provider | 0.417671 |
| Shingles Transmission | 0.663345 |
| treatment options | 0.422352 |
| shingles vaccination | 0.700179 |
| risk | 0.326144 |
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CDC - Preventing Chronic Disease: Volume 9, 2012:11_0213 |
Childhood obesity is associated with an increased risk for type 2 diabetes. Early identification of adolescents at risk for impaired fasting glucose may lead to earlier and more comprehensive evaluation and intervention. Because widespread glucose testing of adolescents is not recommended, community-based tools are needed to identify those who could benefit from further testing. |
| NHANES data sets | 0.344231 |
| Assessing Glucose ImpairmenT | 0.629581 |
| fasting glucose level | 0.50614 |
| regression analysis | 0.30236 |
| Abnormal Glucose Risk | 0.405108 |
| fasting subsample | 0.302416 |
| glucose levels | 0.538767 |
| glucose impairment risk | 0.487379 |
| screening tool | 0.378884 |
| TAG-IT-A score | 0.698219 |
| blood glucose values | 0.376648 |
| Nutrition Examination Survey | 0.366529 |
| blood pressure | 0.489605 |
| NHANES oversampled adolescents | 0.337739 |
| fasting blood sample | 0.381077 |
| abnormal glucose levels | 0.40163 |
| adolescents | 0.658053 |
| body mass index | 0.527601 |
| glucose values | 0.40074 |
| adolescent screening tool | 0.305082 |
| glucose screening | 0.3802 |
| tool | 0.440885 |
| fasting glucose | 0.969539 |
| Figure). | 0.352388 |
| key variables | 0.346703 |
|
| similar glucose impairment | 0.418202 |
| fasting glucose subsample | 0.458404 |
| impaired fasting glucose | 0.731322 |
| TAG-IT-A tool | 0.412282 |
| glucose tool | 0.364921 |
| fasting glucose measurements | 0.430785 |
| glucose tolerance | 0.369668 |
| community-based screening | 0.318584 |
| widespread glucose testing | 0.411256 |
| BMI | 0.415875 |
| NHANES data | 0.364054 |
| heart rate | 0.745027 |
| fasting blood glucose | 0.471773 |
| variables | 0.367474 |
| fasting glucose value | 0.472855 |
| abnormal fasting glucose | 0.487881 |
| TAG-IT score | 0.30568 |
| glucose impairment | 0.870603 |
| abnormal blood glucose | 0.40549 |
| high blood pressure | 0.316514 |
| fasting glucose concentrations | 0.431024 |
| elevated glucose levels | 0.394358 |
| NHANES | 0.442736 |
| diabetes | 0.325359 |
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Centers for Disease Control and Prevention |
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Breast Cancer - CDC Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| federally-funded health clinics | 0.437245 |
| Mortality Weekly Report | 0.411728 |
| health plans | 0.382695 |
| best way | 0.368122 |
| follow-up tests | 0.381482 |
| high-quality treatment | 0.37534 |
| health centers | 0.381624 |
| aggressive cancers | 0.376557 |
| difference result | 0.368827 |
| health disparities | 0.38559 |
| ethnic groups | 0.371224 |
| health insurance coverage | 0.434534 |
| health insurance companies | 0.431256 |
| highest death rates | 0.431549 |
| Cancer Early Detection | 0.441566 |
| timely follow-up | 0.391964 |
| health educators | 0.376428 |
| Signs Issue details | 0.412351 |
| fewer black women | 0.568263 |
| breast cancer care | 0.53015 |
| Affordable Care Act | 0.420952 |
| white women | 0.85124 |
| community health workers | 0.429974 |
| economic resources | 0.373485 |
| death rates | 0.438461 |
|
| timely followup care | 0.426219 |
| black women | 0.762924 |
| case management services | 0.415914 |
| uninsured women | 0.401727 |
| treatment | 0.379098 |
| Vital Signs | 0.451156 |
| United States | 0.43501 |
| black women experience | 0.472903 |
| Educate women | 0.397391 |
| health information technology | 0.434182 |
| Breast Cancer Severity | 0.521949 |
| breast cancers | 0.456814 |
| local health department | 0.425727 |
| National Breast | 0.448806 |
| mammogram | 0.480753 |
| well-trained case managers | 0.413655 |
| health care systems | 0.436861 |
| breast cancer screening | 0.54407 |
| breast cancer | 0.985544 |
| Breast cancer deaths | 0.57189 |
| electronic health records | 0.508427 |
| follow-up times | 0.380612 |
| follow-up care | 0.386881 |
| Cancer Prevention | 0.385645 |
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Global Health - Nigeria |
CDC partners in Nigeria with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.
|
| Africa CDC | 0.809586 |
| U.S. CDC | 0.782803 |
| outbreak response campaigns | 0.756295 |
| CDC bottle | 0.773893 |
| state level MOHs | 0.747187 |
| national reference lab | 0.734468 |
| data management support | 0.744646 |
| HIV treatment services | 0.941758 |
| workforce development | 0.739812 |
| Disease Control | 0.749327 |
| Regional Collaborating Centre | 0.816587 |
| Emergency Operations Centre | 0.727917 |
| Laboratory Strategic Plan | 0.866566 |
| HIV status | 0.741441 |
| combination prevention strategy | 0.745795 |
| flaccid paralysis surveillance | 0.737077 |
| routine immunization services | 0.739351 |
| World Health Organization | 0.774058 |
| CDC Nigeria office | 0.944615 |
| service delivery models | 0.755283 |
| HIV treatment | 0.953826 |
| Regional Collaborating Centres | 0.730979 |
| International Health Regulations | 0.771076 |
| measles pre-elimination activities | 0.735588 |
|
| comprehensive health services | 0.77781 |
| public health infrastructure | 0.793551 |
| routine health information | 0.763673 |
| efficient HIV programs | 0.816564 |
| HIV epidemic | 0.748772 |
| Global Health Security | 0.775714 |
| CDC office | 0.829023 |
| National Medical Laboratory | 0.744571 |
| U.S. President | 0.734073 |
| World Health Laboratory | 0.799205 |
| health information systems | 0.777664 |
| Specific laboratory capacity | 0.749778 |
| technical assistance | 0.737368 |
| high-quality HIV prevention | 0.824794 |
| Global Health Protection | 0.772224 |
| access HIV treatment | 0.804718 |
| local government areas | 0.728568 |
| maximum health impact | 0.773916 |
| malaria diagnostics capacity | 0.740337 |
| African Regional Collaborating | 0.739826 |
| local epidemic | 0.747227 |
| disease response efforts | 0.77193 |
| HIV rapid test | 0.806142 |
| Public Health Excellence | 0.794668 |
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Global Control and Regional Elimination of Measles,2000-2011 |
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. |
| regional measles control | 0.694574 |
| routine services | 0.62054 |
| measles supplemental immunization | 0.690509 |
| global MCV1 coverage | 0.636752 |
| measles incidence | 0.882704 |
| regional measles targets | 0.691893 |
| children | 0.600904 |
| measles vaccination coverage | 0.826285 |
| MCV1 coverage | 0.739677 |
| World Health | 0.598562 |
| measles elimination efforts | 0.753752 |
| measles immunization | 0.673768 |
| measles mortality | 0.821 |
| routine immunization services | 0.597441 |
| supplemental immunization activities | 0.591437 |
| large measles outbreaks | 0.786713 |
| measles control | 0.699663 |
| global measles morbidity | 0.733936 |
| measles eradication | 0.716684 |
| measles susceptibility | 0.695159 |
| Effective measles surveillance | 0.704702 |
| countries | 0.64436 |
| measles vaccination | 0.867895 |
| annual measles surveillance | 0.705933 |
|
| measles elimination targets | 0.796959 |
| measles mortality model | 0.698492 |
| eventual global measles | 0.685013 |
| country-specific measles vaccination | 0.694816 |
| regional measles elimination | 0.87404 |
| global measles | 0.773561 |
| global measles mortality | 0.708072 |
| routine measles vaccination | 0.708806 |
| Periodic follow-up SIAs | 0.598961 |
| measles cases | 0.718864 |
| measles elimination goal | 0.702855 |
| recent measles outbreaks | 0.696921 |
| measles epidemics | 0.670541 |
| Vaccine Action Plan | 0.594691 |
| measles vaccine coverage | 0.762749 |
| measles surveillance data | 0.743289 |
| annual measles incidence | 0.741295 |
| National Measles Catch-up | 0.690642 |
| ongoing measles virus | 0.689228 |
| measles deaths | 0.759497 |
| measles-containing vaccine | 0.681159 |
| follow-up sias | 0.612394 |
| measles mortality burden | 0.70225 |
| Global Vaccine Action | 0.596364 |
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Centers for Disease Control and Prevention |
Video |
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Talk to your doctor about Hepatitis C |
Hepatitis C can be a serious liver disease that often has no symptoms. Even if you try to eat right, exercise and have a healthy life, you could still have hepatitis C. People born from 1945-1965 are 5X more likely to have this disease. That’s why the CDC recommends everyone born between these years get tested for hepatitis C. Early detection and treatment can save lives.
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://www.cdc.gov/knowmorehepatitis/media/videos/HiddenDisease-60secPSA-LowRes.mp4 |
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Updated Recommendations for the Use of Typhoid Vaccine -Advisory Committee on Immunization Practices, United States,2015 |
Brendan R. Jackson, MD1, Shahed Iqbal, PhD2, Barbara Mahon, MD1 (Author affiliations at end of text). |
| vaccine manufacturer | 0.533734 |
| United States | 0.695019 |
| Primary vaccination | 0.482746 |
| typhoid fever | 0.658855 |
| serotype paratyphi | 0.500986 |
| Ty21a vaccines | 0.478879 |
| live-attenuated ty21a vaccine | 0.716807 |
| polysaccharide vaccines | 0.495837 |
| Brendan R. Jackson | 0.534595 |
| enteric fever cases | 0.510864 |
| Salmonella serotype Paratyphi | 0.497715 |
| typhoid vaccines | 0.554834 |
| polysaccharide vaccine | 0.758097 |
| abdominal pain | 0.488604 |
| vaccine dose | 0.536162 |
| antimicrobial agents | 0.493834 |
| Salmonella serotype Typhi | 0.645715 |
| vaccine placebo-controlled trials | 0.564716 |
| advisory committee | 0.501305 |
| Routine typhoid vaccination | 0.533769 |
| Zoonotic Infectious Diseases | 0.504314 |
| young children | 0.488574 |
| Ty21a vaccine | 0.904403 |
| recent pre-travel vaccination | 0.48829 |
|
| paratyphoid fever | 0.567751 |
| capsular polysaccharide vaccine | 0.611417 |
| currently available vaccines | 0.566718 |
| vaccine activity | 0.532707 |
| enterica serotypes Typhi | 0.497684 |
| typhoid vaccination | 0.587384 |
| live vaccines | 0.4883 |
| injection site | 0.483003 |
| enterica serotype Paratyphi | 0.481875 |
| commonly reported symptoms | 0.528853 |
| enterica serotype Typhi | 0.503397 |
| parenteral vi polysaccharide | 0.503275 |
| typhoid vaccine | 0.72141 |
| live-attenuated vaccine | 0.627 |
| vaccine safety | 0.565005 |
| Salmonella enterica serotype | 0.555847 |
| enteric fever | 0.571544 |
| Ty21a vaccine challenge | 0.595772 |
| Vaccine Adverse Events | 0.568255 |
| heat-phenol-inactivated whole-cell vaccine | 0.579112 |
| Ty21a strain | 0.496636 |
| oral Ty21a vaccine | 0.647163 |
| vaccine strain | 0.542947 |
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Health Effects of Cut Gas Lines and Other Petroleum ProductRelease Incidents - Seven States, 2010-2012 |
Ayana R. Anderson, MPH1 (Author affiliation at end of text). |
| commonly reported type | 0.371262 |
| petroleum products | 0.489521 |
| petroleum incidents | 0.904622 |
| single-substance incidents | 0.484463 |
| Human Health Sciences | 0.372373 |
| commonly reported injuries | 0.373659 |
| petroleum-release incidents | 0.513866 |
| toxic substance releases | 0.380474 |
| utility incidents | 0.466148 |
| Ayana R. Anderson | 0.447331 |
| private vehicles | 0.419281 |
| petroleum release incidents | 0.663452 |
| persons | 0.389379 |
| acute toxic substance | 0.377301 |
| considerable regulatory attention | 0.375771 |
| petroleum releases | 0.496257 |
| catastrophic oil spills | 0.379816 |
| nonpetroleum incidents | 0.573481 |
| utility releases | 0.376636 |
| product release incidents | 0.582791 |
| releases.* State NTSIP | 0.388565 |
| acute petroleum product | 0.481447 |
| Acute nonpetroleum releases | 0.398618 |
| petroleum product releases | 0.603484 |
|
| home incidents | 0.476629 |
| adverse health effects | 0.439137 |
| natural gas leaks | 0.376295 |
| NTSIP incidents | 0.492473 |
| petroleum incident data | 0.452395 |
| total petroleum release | 0.446864 |
| various adverse health | 0.371981 |
| gas line explosion | 0.381467 |
| NTSIP data | 0.397488 |
| nonpetroleum releases | 0.411098 |
| unintentional acute releases | 0.397382 |
| Toxic Substance Incidents | 0.535858 |
| natural gas | 0.52492 |
| utility workers | 0.378789 |
| casualty gas explosions | 0.396812 |
| natural gas line | 0.38335 |
| 30-inch natural gas | 0.379996 |
| petroleum-related incidents | 0.52784 |
| Disease Registry | 0.378639 |
| Toxic Substances | 0.374726 |
| petroleum product release | 0.525968 |
| greatest number | 0.393412 |
| public health action | 0.486002 |
| public health effects | 0.39168 |
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Jewish Women and BRCA Gene Mutations |
Ashkenazi Jewish women are 10 times more likely to have a BRCA1 or BRCA2 gene mutation than women in the general United States population. |
| Ashkenazi Jewish women | 0.507586 |
| father | 0.239507 |
| changes | 0.220471 |
| Ashkenazi Jewish descent | 0.366833 |
| young age | 0.461014 |
| mutations | 0.248832 |
| ways | 0.217498 |
| aunt | 0.219852 |
| action | 0.217481 |
| second-degree relatives | 0.291808 |
| increased risk | 0.274823 |
| sister | 0.21746 |
| higher risk | 0.356914 |
| chance | 0.218172 |
|
| ovarian cancer | 0.528301 |
| person’s risk | 0.281717 |
| grandmother | 0.220329 |
| breast cancer | 0.426854 |
| genetic counseling— | 0.291473 |
| general U.S. population | 0.45089 |
| people | 0.220483 |
| BRCA gene mutation | 0.95989 |
| BRCA genes | 0.28465 |
| cancer risk | 0.267241 |
| cancers | 0.244534 |
| time | 0.231472 |
| family | 0.233142 |
| daughter | 0.217675 |
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Protect Yourself & Others |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| semen | 0.354328 |
| CDC | 0.358006 |
| mosquito bites | 0.455088 |
| sex partners | 0.405196 |
| urine | 0.325915 |
| polyurethane sheets | 0.412027 |
| travel recommendations | 0.531043 |
| Check | 0.353572 |
| Zika virus | 0.778971 |
| areas | 0.353502 |
| best way | 0.42685 |
| family member | 0.427943 |
| tips | 0.328076 |
| Zika | 0.938832 |
| Dental dams | 0.413707 |
| trip | 0.325304 |
| friend | 0.326142 |
| mosquitoes | 0.365927 |
| area | 0.34363 |
| oral sex | 0.537838 |
| sex | 0.649134 |
| night | 0.325778 |
|
| body fluids | 0.54844 |
| countries | 0.325847 |
| sharing | 0.344417 |
| community | 0.32797 |
| Plan | 0.325354 |
| steps | 0.49942 |
| blood | 0.384362 |
| people | 0.382985 |
| friends | 0.327994 |
| infected person | 0.40858 |
| home | 0.32599 |
| infected mosquito | 0.567737 |
| female condoms | 0.427705 |
| sex toys | 0.471365 |
| exposure | 0.326319 |
| territories | 0.325826 |
| person | 0.415719 |
| certain types | 0.41138 |
| Zika Prevention Kit | 0.497222 |
| risk | 0.418629 |
| time | 0.351301 |
| outbreaks | 0.327328 |
|
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