| 6351 |
Centers for Disease Control and Prevention |
Html |
en |
Lice - Head Lice |
Education and information about head lice, information for parents, information for schools, head lice treatments, head lice diagnosis, and head lice prevention information. |
| mm | 0.253043 |
| pets | 0.227958 |
| eggs | 0.240838 |
| CDC | 0.241196 |
| role | 0.227817 |
| head lice | 0.989326 |
| close person-to-person contact | 0.53997 |
| neck | 0.241329 |
| prescription medications | 0.379552 |
| Adult head lice | 0.820086 |
| human lice | 0.604554 |
|
| claws | 0.248066 |
| transmission | 0.232709 |
| Credit | 0.228163 |
| cats | 0.228072 |
| Head lice infestation | 0.771559 |
| electron microscope | 0.374478 |
| Dogs | 0.228128 |
| hair shaft | 0.388815 |
| pediculosis | 0.26198 |
| individual hairs | 0.381553 |
| head lice infestations | 0.737541 |
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| 8267 |
Centers for Disease Control and Prevention |
Html |
en |
National Assessment of Capacity in Public Health,Environmental, and Agricultural Laboratories - United States,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. |
| agricultural chemistry | 0.627891 |
| public health laboratorians | 0.521179 |
| laboratory directors | 0.551645 |
| laboratory program area | 0.511246 |
| high school education | 0.509333 |
| laboratory type | 0.485288 |
| partial program capacity | 0.522034 |
| environmental laboratories | 0.485956 |
| baseline national capacity | 0.492479 |
| laboratory workforce losses | 0.488145 |
| different laboratory program | 0.543119 |
| public health services | 0.500358 |
| program area capacity | 0.58041 |
| laboratory director/assistant director | 0.494051 |
| agricultural laboratory workers | 0.49941 |
| Health Workforce Studies | 0.53954 |
| Matthew L. Boulton | 0.496718 |
| agricultural microbiology | 0.65283 |
| emergency preparedness | 0.540541 |
| health laboratory capacity | 0.542966 |
| state public health | 0.58975 |
| agricultural laboratory workforce | 0.590767 |
| public health laboratories | 0.675614 |
| public health agencies | 0.495818 |
| health laboratory director | 0.525813 |
|
| public health infrastructure | 0.493641 |
| molecular biology | 0.485742 |
| health laboratory assistant/deputy | 0.522158 |
| public health workforce | 0.596387 |
| program area | 0.650791 |
| agricultural laboratory directors | 0.519943 |
| U.S. public health | 0.518718 |
| low reported capacity | 0.507985 |
| governmental public health | 0.50635 |
| public health | 0.995516 |
| inadequate salary scale | 0.487149 |
| partial capacity | 0.490284 |
| laboratory program areas | 0.567518 |
| public health workers | 0.517893 |
| well-trained public health | 0.499531 |
| local public health | 0.518396 |
| clinical chemistry/hematology | 0.60282 |
| Laboratory Capacity Assessment | 0.708307 |
| National Laboratory Capacity | 0.710505 |
| program areas | 0.598718 |
| federal public health | 0.516178 |
| health laboratory science | 0.503804 |
| Public Health Rep | 0.493713 |
| public health laboratory | 0.647241 |
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| 8699 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | The Dimensions of Multiple Chronic Conditions: Where Do We Go From Here? A Commentary on the Special Collection of Preventing Chronic Disease - CDC |
The articles in this issue address the high prevalence and substantial clinical burden of multiple chronic conditions (MCC) among adults. |
| Medical Expenditure Panel | 0.443057 |
| multiple treated chronic | 0.442617 |
| Prev Chronic Dis | 0.719285 |
| National Health Interview | 0.534009 |
| multiple chronic conditions | 0.827105 |
| important federal health | 0.456367 |
| Select Chronic Diseases | 0.442762 |
| certain MCC | 0.502364 |
| Expenditure Panel Survey | 0.437602 |
| A. Health care | 0.441824 |
| Health Interview Survey | 0.530384 |
| certain chronic conditions | 0.48347 |
| additional chronic illnesses | 0.43932 |
| multiple conditions | 0.423523 |
| MCC analyses | 0.471265 |
| health care settings | 0.450786 |
| ambulatory primary care | 0.431162 |
| CrossRef | 0.441464 |
| important noninfectious diseases | 0.428012 |
| chronic lung diseases | 0.440018 |
| large public health | 0.422289 |
| complex MCC patient | 0.546698 |
| MCC data | 0.495906 |
| MCC findings | 0.472005 |
| health care utilization | 0.437519 |
|
| MCC analytical studies | 0.512309 |
| Ambulatory Medical Care | 0.480133 |
| lifestyle-related MCC | 0.508127 |
| public health implications | 0.429673 |
| unrelated chronic conditions | 0.490334 |
| independent health care | 0.450661 |
| MCC Strategic Framework | 0.54503 |
| health care | 0.619396 |
| public health | 0.573449 |
| important chronic infections | 0.470771 |
| health care institutions | 0.451859 |
| Nationwide Inpatient Sample | 0.436722 |
| ongoing medical care | 0.429953 |
| clinical care | 0.423319 |
| public health programs | 0.422551 |
| Health care clinics | 0.448321 |
| MCC | 0.655054 |
| chronic conditions | 0.937018 |
| Medical Care Survey | 0.485654 |
| care hospitalization rates | 0.423219 |
| health surveys | 0.419599 |
| MCC rates | 0.509644 |
| Lifestyle-Related Chronic Conditions | 0.476902 |
| primary care | 0.457042 |
|
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| 9466 |
Centers for Disease Control and Prevention |
Html |
es |
El uso del mercadeo social en el manejo de conductas de la salud poblacional |
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| 10600 |
Centers for Disease Control and Prevention |
Html |
en |
Breast Cancer in Young Women: What Can I Do to Reduce My Risk? |
Women under age 45 who are at high risk for breast cancer can reduce their risk. |
| woman | 0.416511 |
| medicines | 0.354399 |
| mammograms | 0.364466 |
| age group | 0.550953 |
| screening tests | 0.535226 |
| genetic counseling | 0.542258 |
| mutations | 0.356816 |
| ways | 0.348953 |
| talk | 0.364556 |
| higher risk | 0.769883 |
| risk factors | 0.522756 |
| pain | 0.351374 |
| disease | 0.357275 |
| shape | 0.356507 |
|
| ovarian cancer | 0.535912 |
| genes | 0.352295 |
| surgeries | 0.355435 |
| change | 0.351871 |
| breast cancer | 0.992643 |
| breast milk | 0.663809 |
| older women | 0.564851 |
| nipple discharge | 0.590359 |
| blood | 0.351267 |
| breasts | 0.376658 |
| doctor | 0.532244 |
| symptoms | 0.351146 |
| size | 0.351799 |
|
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| 12075 |
Centers for Disease Control and Prevention |
Html |
en |
West Africans in the United States | Ebola Hemorrhagic Fever| CDC |
null |
| Ebola Virus Infection | 0.503612 |
| Ebola Diagnosed | 0.427896 |
| United States | 0.450364 |
| West Africans | 0.263304 |
| Ebola PPE | 0.448462 |
| U.S. Healthcare Workers | 0.274876 |
| Current Ebola Treatment | 0.45514 |
| Ebola Questions | 0.441477 |
| Sierra Leone | 0.234016 |
| Search Form Controls | 0.207876 |
| Confirmed Ebola Virus | 0.495563 |
| Africa Ebola Outbreak | 0.545943 |
| West African Communities | 0.262976 |
| West Africa Outbreak | 0.207015 |
| Ebola Hemorrhagic Fever | 0.509044 |
|
| Ebola Virus Disease | 0.783253 |
| Suspected Ebola Patients | 0.453235 |
| Ebola Survivors Questions | 0.473277 |
| Confirmed Ebola Patients | 0.484216 |
| Pediatric Healthcare Professionals | 0.266449 |
| Potential Ebola Virus | 0.53806 |
| Ebola Transmission | 0.400817 |
| Ebola Virus Exposure | 0.535362 |
| Public Health Resources | 0.265271 |
| Ebola Treatment Centers | 0.506721 |
| Ebola Patients | 0.49425 |
| Ebola Response Planning | 0.465113 |
| virus Ebola aux | 0.462806 |
| West Africa | 0.343096 |
| Ebola Epidemic | 0.42817 |
|
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| 12911 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR News Synopsis for March 5, 2015 |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| 2014-15 Northern Hemisphere | 0.682084 |
| mandatory reportable condition | 0.446914 |
| suicide method | 0.424272 |
| Fever Cases | 0.323558 |
| medical complications | 0.449337 |
| copycat suicide | 0.408329 |
| suicide rates | 0.407798 |
| time period | 0.340832 |
| documentation policies | 0.442214 |
| Early prevention | 0.473343 |
| intensive care unit | 0.424284 |
| suicide trends | 0.395262 |
| common mechanisms | 0.339431 |
| highest rate | 0.320396 |
| hospital stays | 0.328941 |
| important role | 0.331856 |
| HUMAN SERVICES | 0.326494 |
| CDC Media Relations | 0.978066 |
| antiviral medications | 0.476383 |
| birth hospitalization | 0.332632 |
| vast majority | 0.331522 |
| positive urine toxicology | 0.426465 |
| United States | 0.630846 |
| Media coverage | 0.344249 |
|
| young people | 0.746866 |
| drug addiction counseling/rehabilitation | 0.642043 |
| vulnerable young people | 0.464503 |
| Suicide Prevention Lifeline | 0.521081 |
| U.S. DEPARTMENT | 0.326604 |
| Reported Crimean-Congo Hemorrhagic | 0.445326 |
| drug counseling | 0.32408 |
| Early prevention strategies | 0.467035 |
| Adverse Events | 0.327015 |
| addictive drugs | 0.321046 |
| influenza season | 0.577844 |
| geographic subgroups | 0.339664 |
| high lethality | 0.353435 |
| preventable public health | 0.487732 |
| high prevalence | 0.322921 |
| predominant circulating strain | 0.457512 |
| highly lethal methods | 0.4572 |
| suffocation suicides | 0.413302 |
| suicidal thoughts | 0.499143 |
| Simulation Intravenous Fluids | 0.43503 |
| neonatal abstinence syndrome | 0.678628 |
| small proportion | 0.325978 |
| highly lethal means | 0.474742 |
| two-year period | 0.324686 |
|
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| 13913 |
Centers for Disease Control and Prevention |
Html |
en |
Stroke Videos | cdc.gov |
null |
| lead neurologist | 0.383195 |
| hospitals | 0.294489 |
| Coverdell Stroke Program | 0.876725 |
| acute stroke care | 0.527152 |
| telltale signs | 0.238777 |
| African Americans | 0.289018 |
| typical stroke patient | 0.505739 |
| highest burden | 0.22092 |
| CDC employee | 0.220407 |
| stroke | 0.974869 |
|
| stroke death rates | 0.755414 |
| emergency medical services | 0.320741 |
| Smokers web site | 0.314763 |
| Prince Quire | 0.22693 |
| Dr. Michael Frankel | 0.596894 |
| Disease Control | 0.222001 |
| stroke complications | 0.425462 |
| patient returns home | 0.314984 |
| embrace practices | 0.362939 |
| National Acute Stroke | 0.531785 |
|
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| 14203 |
Centers for Disease Control and Prevention |
Html |
en |
Reaching for Health Equity | CDC Features |
Reducing health disparities brings us closer to reaching health equity. Learn about health equity and what CDC is doing to reduce health disparities. |
| non-Hispanic White children | 0.744358 |
| Mortality Weekly Report | 0.713963 |
| United States | 0.564009 |
| important contribution | 0.569936 |
| differences | 0.434123 |
| health equity | 0.883123 |
| human happiness | 0.577246 |
| CDC-sponsored programs | 0.550585 |
| example | 0.431378 |
| health outcomes | 0.595011 |
| health disparities | 0.985133 |
| causes | 0.430359 |
| economic progress | 0.563789 |
|
| well-being | 0.435826 |
| CDC-Sponsored Interventions | 0.568728 |
| World Health Organization | 0.708101 |
| better health | 0.57836 |
| Americans | 0.431098 |
| groups | 0.456682 |
| opportunity | 0.431343 |
| asthma | 0.435552 |
| people | 0.457903 |
| Morbidity | 0.446225 |
| Supplement | 0.434424 |
| Reducing Health Disparities—Selected | 0.747508 |
| African American children | 0.716984 |
|
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| 16293 |
Centers for Disease Control and Prevention |
Html |
en |
FastStats - Child Health |
null |
| Summary Health Statistics | 0.885708 |
| United States | 0.419074 |
| health insurance | 0.404719 |
| Final Data | 0.485081 |
| Health Statistics Tables | 0.870987 |
| National Health Interview | 0.988588 |
| source | 0.573463 |
| PDF | 0.523385 |
| Number | 0.346885 |
| children | 0.629492 |
| MB | 0.432195 |
| school | 0.326544 |
| KB | 0.411879 |
|
| Early release | 0.415953 |
| injury | 0.32642 |
| U.S. Children | 0.620618 |
| Table C-5c | 0.418956 |
| deaths | 0.466294 |
| health care | 0.401197 |
| Table C-7c | 0.399108 |
| Percent | 0.523496 |
| good health | 0.422625 |
| Health Interview Survey | 0.988209 |
| population | 0.34795 |
| usual source | 0.402179 |
| age | 0.352409 |
|
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