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Centers for Disease Control and Prevention |
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Global Health - Nicaragua |
null |
| Content source | 0.892652 |
| HHS | 0.699811 |
| endorsement | 0.682673 |
| CDC | 0.617915 |
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| non-federal site | 0.998525 |
| Notice | 0.617482 |
| sponsors | 0.49087 |
| information | 0.490002 |
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Centers for Disease Control and Prevention |
Html |
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Global Health - Denmark |
null |
| Content source | 0.422709 |
| HHS | 0.297574 |
| list Skip | 0.74332 |
| endorsement | 0.291872 |
| CDC | 0.271556 |
| non-federal site | 0.4688 |
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| Notice | 0.270187 |
| sponsors | 0.241885 |
| page options Skip | 0.947337 |
| information | 0.241652 |
| employees | 0.242118 |
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| 7645 |
Centers for Disease Control and Prevention |
Html |
en |
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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| 7918 |
Centers for Disease Control and Prevention |
Html |
en |
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.
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| 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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Centers for Disease Control and Prevention |
Html |
en |
CDC Telebriefing on H7N9 Influenza Cases - Friday, April 5, 2013 |
CDC Telebriefing on H7N9 Influenza Cases |
| avian influenza | 0.35389 |
| previously circulated influenza | 0.312801 |
| novel avian influenza | 0.334553 |
| public health authorities | 0.384577 |
| person-to-person transmission | 0.364755 |
| direct contact | 0.387145 |
| richard knox | 0.327069 |
| human-to-human transmission | 0.339481 |
| doctor. Thank | 0.32135 |
| United States | 0.33511 |
| Joe Bresee | 0.512799 |
| tom frieden | 0.975576 |
| mike stobbe | 0.337779 |
| elizabeth weiss | 0.333638 |
| H7N9 virus | 0.328477 |
| avian influenza strains | 0.339597 |
| public health officials | 0.321785 |
| Chinese public health | 0.537147 |
| maryn mckenna | 0.412153 |
| Dr. Joe Bresee | 0.353927 |
| human infection | 0.337498 |
| mike shaw | 0.327365 |
| richard besser | 0.318281 |
| influenza A H7N9 | 0.334544 |
| candidate vaccine strain | 0.327413 |
|
| influenza | 0.38654 |
| health authorities | 0.391363 |
| public health specialists | 0.323448 |
| live markets | 0.385569 |
| TOM SKINNER | 0.815135 |
| follow-up question | 0.314396 |
| virus | 0.478113 |
| Dr. Bresee | 0.472605 |
| Shirley. Thank | 0.336497 |
| China | 0.475198 |
| bob roos | 0.327742 |
| genetic sequence | 0.341857 |
| Dr. Tom Frieden | 0.409089 |
| everyone. Thank | 0.336079 |
| cases | 0.396159 |
| question | 0.673135 |
| seasonal flu vaccine | 0.429864 |
| miriam falco | 0.377048 |
| people | 0.475073 |
| OPERATOR | 0.378293 |
| influenza epidemiology unit | 0.337072 |
| Chinese health authorities | 0.323069 |
| public health doctors | 0.312943 |
| Dr. Frieden | 0.360268 |
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U.S. Selected Practice Recommendations for Contraceptive Use, 2013 |
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. |
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Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
Html |
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Gardening Health and Safety Tips - Family Health |
Family health information from the Centers for Disease Control and Prevention (CDC) |
| unpowered tools | 0.633904 |
| skin cancer | 0.619062 |
| Sharpen tools | 0.634128 |
| health care provider | 0.884727 |
| Active people | 0.620715 |
| inactive people | 0.624772 |
| Wear safety goggles | 0.745272 |
| moderate physical activity | 0.713315 |
| high rubber boots | 0.719085 |
| muscle soreness | 0.615822 |
| garden equipment | 0.633307 |
| sharp tools | 0.620721 |
| large amounts | 0.612206 |
| extremely high body | 0.711662 |
| harmful rays | 0.649895 |
| (Lockjaw) | 0.648465 |
| gardening activities | 0.639726 |
| Summer Outdoor Safety | 0.717049 |
| heat-related illness | 0.979512 |
| nutritious fruits | 0.625283 |
| health problems | 0.619283 |
| tetanus infections | 0.634646 |
| skin irritations | 0.628501 |
| sun protective factor | 0.711323 |
| garden pests | 0.626199 |
|
| high temperatures | 0.617669 |
| sturdy shoes | 0.625858 |
| great way | 0.629619 |
| power tools | 0.640998 |
| long pants | 0.627022 |
| Eat healthy foods | 0.694417 |
| lower your risk | 0.722878 |
| sun shades | 0.619981 |
| wide-brimmed hats | 0.613382 |
| Wear gloves | 0.623896 |
| arthritis pain | 0.614875 |
| shaded areas | 0.613192 |
| Arthritis Foundation | 0.620596 |
| higher risk | 0.616684 |
| Wear long-sleeved shirts | 0.72201 |
| bounty gardening | 0.669113 |
| physical activity | 0.958919 |
| expert gardener | 0.631331 |
| certain contaminants | 0.613487 |
| hot weather | 0.722424 |
| high blood pressure | 0.696959 |
| physical discomfort | 0.619862 |
| Limit distractions | 0.616319 |
| tetanus vaccination | 0.641882 |
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Centers for Disease Control and Prevention |
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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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