| 4445 |
Centers for Disease Control and Prevention |
Html |
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CDC A-Z Index - 0 |
CDC A-Z Index |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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| 4779 |
Centers for Disease Control and Prevention |
Html |
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Pertussis Complications |
Pertussis complications in infants, children teens, and adults. |
| Public Health | 0.43108 |
| older age group | 0.44509 |
| United States | 0.275544 |
| Fifteenth Edition | 0.278662 |
| adults | 0.299459 |
| Human Services | 0.276124 |
| teens | 0.201428 |
| Vitek CR | 0.302096 |
| Bisgard KM | 0.455746 |
| U.S. Department | 0.278068 |
| violent coughing fits | 0.498479 |
| McGraw-Hill Companies | 0.284907 |
| Disease Control | 0.274941 |
| Public Health Informatics | 0.430054 |
| young children | 0.31608 |
| Murphy TV. Trends | 0.415292 |
| deadly complications | 0.378567 |
| hospital | 0.229857 |
| Pascual FB | 0.309076 |
|
| National Center | 0.275798 |
| pertussis vaccines | 0.709004 |
| Notifiable Diseases Surveillance | 0.427118 |
| Weight loss | 0.282024 |
| Healthcare professionals | 0.284579 |
| Cortese MM | 0.295534 |
| Kast JM | 0.298559 |
| Integrated Surveillance Systems | 0.430573 |
| severe coughing | 0.312683 |
| Preventive Medicine | 0.274314 |
| common complications | 0.340384 |
| Health Information | 0.284344 |
| pertussis vaccine | 0.635466 |
| Wallace RB | 0.281853 |
| Maxcy-Rosenau-Last Public Health | 0.423198 |
| lung infection | 0.493259 |
| bladder control | 0.28173 |
| Coordinating Center | 0.278097 |
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| 6507 |
Centers for Disease Control and Prevention |
Html |
en |
Links & References - Yellow Fever |
Publications and links to other resources. |
| Trop Med Int | 0.456221 |
| Trop Med Hyg. | 0.450008 |
| Trop Med | 0.476578 |
| Trans R Soc | 0.370827 |
| Cetron MS. Prevention | 0.362906 |
| immunization safety data | 0.382354 |
| navigation Skip | 0.352827 |
| Barwick R. History | 0.375392 |
| Med Int Health. | 0.435395 |
| yellow fever vaccine | 0.825716 |
| Staples JE | 0.342843 |
| Morb Mortal Wkly | 0.482577 |
| CDC. Notes | 0.337901 |
| Lancet Infect Dis. | 0.368742 |
| World Health Organization | 0.404105 |
| list Skip | 0.355219 |
| booster dose recommendations | 0.385019 |
| Yellow Fever Vaccine–Associated | 0.511145 |
| fever vaccine booster | 0.539245 |
| yellow fever immunization | 0.496877 |
| page options Skip | 0.389515 |
| Yellow fever-associated viscerotropic | 0.425361 |
| viscerotropic disease | 0.432752 |
| Clin Infect Dis. | 0.366637 |
| Salomao MA | 0.340984 |
|
| Infect Dis. | 0.370795 |
| Adverse event reports | 0.363697 |
| yellow fever vaccination | 0.711526 |
| Early exposure | 0.336267 |
| yellow fever risk | 0.503734 |
| yellow fever | 0.92829 |
| safety profile | 0.340866 |
| International Health Regulations. | 0.362238 |
| 17D-204 yellow fever | 0.498276 |
| MMWR Morb Mortal | 0.4839 |
| Immunization Practices | 0.428239 |
| Advisory Committee | 0.415455 |
| Wkly Epidemiol Rec. | 0.362688 |
| Mortal Wkly Rep. | 0.468417 |
| four-year prospective study | 0.358412 |
| Jentes ES | 0.336616 |
| Soc Trop Med | 0.453472 |
| Monath TP | 0.399758 |
| CDC. Yellow fever | 0.573698 |
| Neurologic disease | 0.338453 |
| Acute viscerotropic disease | 0.370489 |
| et al | 0.596959 |
| Cavalcanti DP | 0.340721 |
| Lindsey NP | 0.335475 |
|
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| 6920 |
Centers for Disease Control and Prevention |
Html |
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Falls Among Older Adults: An Overview |
null |
| fall injuries | 0.743907 |
| Järvinen M. Majority | 0.65709 |
| older people—those | 0.64496 |
| U.S. emergency departments | 0.661291 |
| head injuries | 0.648054 |
| falls | 0.660128 |
| Bonadies J. Geriatric | 0.663259 |
| over-the-counter medicines | 0.634764 |
| Lower body weakness | 0.674573 |
| risk factors | 0.889522 |
| hip fractures | 0.916486 |
| direct medical costs | 0.683518 |
| Injury Statistics Query | 0.677596 |
| injurious falls | 0.635517 |
| prescription medicines | 0.627949 |
| american journal | 0.660211 |
| blood thinners | 0.604287 |
| fall risk factors | 0.735985 |
| older adults—United States | 0.68891 |
| eye doctor | 0.601749 |
| Vitamin D deficiency | 0.601165 |
| fall injury | 0.656858 |
| older people | 0.772877 |
| older person | 0.65028 |
| Injury Prevention | 0.607112 |
|
| hip fracture | 0.716371 |
| hip fracture study | 0.694345 |
| head injury.3,4 | 0.619428 |
| elderly nursing home | 0.662665 |
| head injury | 0.640453 |
| greater their chances | 0.607023 |
| O'Connor JA | 0.600669 |
| brain injury | 0.622106 |
| everyday activities | 0.690627 |
| certain medicines | 0.632131 |
| over-the counter medicines | 0.703788 |
| common cause | 0.624913 |
| person’s risk | 0.639847 |
| fall–related injuries | 0.623468 |
| traumatic brain injuries | 0.878886 |
| emergency departments | 0.686396 |
| Adler G. Gender | 0.661917 |
| fracture risk | 0.618066 |
| Calcif Tissue Int | 0.784007 |
| injury severity | 0.607904 |
| healthcare provider | 0.685582 |
| Academic Emergency Medicine | 0.667659 |
| non-fatal falls | 0.628398 |
| Healthcare providers | 0.60412 |
|
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| 10724 |
Centers for Disease Control and Prevention |
Html |
en |
Conversations with the Director: Dan Budnitz, MD, MPH |
The CDC Director’s webpage offers information on Dr. Thomas Frieden, who became the agency’s 16th director in June 2009. The pages features information on Dr. Frieden’s Weekly Focus, the Latest from Dr. Frieden (his RSS feed), and links to his bio, statements, videos, press releases, media appearances, photos, presentations, and speeches. |
| 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 |
Html |
en |
CDC Deployee Returns from West Africa by Charter Flight 'Media Statement | CDC Online Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| low-risk contact | 0.422095 |
| ill person | 0.407754 |
| health care provider | 0.47562 |
| long flights | 0.390713 |
| charter flight | 0.594654 |
| CDC experts | 0.526152 |
| 21-day period | 0.391902 |
| number | 0.330584 |
| CDC staff member | 0.811566 |
| good personal infection | 0.463741 |
| additional information | 0.387012 |
| deaths | 0.330758 |
| Ebola-related risk | 0.391295 |
| CDC staff members | 0.641858 |
| World Health Organization | 0.469453 |
| outbreak response | 0.409006 |
| staff rotations | 0.401297 |
| infected health worker | 0.472802 |
| symptoms | 0.430983 |
| persons | 0.352371 |
| Ebola outbreaks | 0.477306 |
| work duties | 0.385928 |
| low-risk exposure | 0.408853 |
| prolonged period | 0.407156 |
| CDC staff person | 0.784513 |
|
| outbreak-affected countries | 0.384956 |
| Ebola patients | 0.496111 |
| safety practices | 0.385464 |
| Ebola | 0.628255 |
| United States | 0.399372 |
| symptom monitoring | 0.389566 |
| long distance | 0.394926 |
| infection control | 0.470395 |
| Sierra Leone | 0.392804 |
| interim guidance | 0.392975 |
| appropriate medical care | 0.4685 |
| medical attention | 0.389228 |
| CDC personnel | 0.525352 |
| private means | 0.393213 |
| international efforts | 0.380331 |
| CDC staff | 0.918396 |
| disease | 0.332261 |
| close proximity | 0.402653 |
| people | 0.330859 |
| international health worker | 0.501382 |
| largest Ebola outbreak | 0.563552 |
| West Africa | 0.589989 |
| timely access | 0.395431 |
| Ebola response. Health | 0.572593 |
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Evidence for a Decrease in Transmission of Ebola Virus -Lofa County, Liberia, June 8-November 1, 2014 |
On November 14, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| recent decrease | 0.364769 |
| government health offices | 0.421661 |
| Ebola treatment unit | 0.512378 |
| general community health | 0.387533 |
| response activities | 0.39122 |
| ebola virus | 0.968163 |
| Liberia Field Team | 0.392798 |
| Zoonotic Infectious Disease | 0.393962 |
| MMWR Early Release | 0.368684 |
| case-based data | 0.525089 |
| Social Welfare | 0.3863 |
| transmission | 0.368318 |
| ill persons | 0.382912 |
| Aditya Sharma | 0.365335 |
| local population | 0.468764 |
| family members | 0.375989 |
| newly reported cases | 0.636719 |
| test results | 0.438897 |
| World Health Organization | 0.473896 |
| 12Public Health England | 0.367954 |
| Liberian MoHSW | 0.371044 |
| Liberian Ministry | 0.368663 |
| local health offices | 0.431445 |
| Operational Center Geneva | 0.388296 |
| persons | 0.45406 |
|
| northern Liberia | 0.375321 |
| county health office | 0.516825 |
| new cases | 0.457282 |
| Ebola virus disease | 0.536144 |
| Public Health England | 0.368622 |
| community decedents | 0.543369 |
| new admissions | 0.387775 |
| 3World Health Organization | 0.369434 |
| possible Ebola | 0.466775 |
| new reported cases | 0.405907 |
| Foya ETU | 0.677317 |
| Lofa County Health | 0.441217 |
| local government health | 0.386004 |
| Sans FrontiУЈres | 0.38527 |
| 4Lofa County Health | 0.389589 |
| MSF Field Teams | 0.366334 |
| oral swab specimens | 0.445391 |
| Virus — Lofa | 0.376733 |
| Lofa County | 0.92681 |
| aggregate data | 0.475758 |
| Liberia | 0.432241 |
| health offices | 0.471995 |
| district health offices | 0.374011 |
| comprehensive response strategy | 0.459654 |
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Work Together - Tools for Successful CHI Efforts - Chi Nav -CDC |
Our health and well-being are products of not only the health care we receive and the choices we make, but also the places where we live, learn, work, and play. Community health improvement (CHI) is a process to identify and address the health needs of communities |
| IRS Final Rule | 0.788558 |
| Related resources | 0.525368 |
| Health Needs Assessments | 0.971153 |
| community action agencies | 0.665837 |
| readiness assessments | 0.519427 |
| final regulations | 0.514894 |
| Main Section | 0.518129 |
| Populations Footprint tool | 0.591447 |
| key concept | 0.524731 |
| health care providers | 0.620415 |
| data-visualization tool | 0.524011 |
| interactive framework | 0.515918 |
| additional tools | 0.515612 |
| Excise Tax Return | 0.583105 |
| government hospitals | 0.526629 |
| Waterbury Health Improvement | 0.78355 |
| health priorities | 0.528539 |
| multi-sector collaboration | 0.527812 |
| Community Health Needs | 0.966309 |
| action plan | 0.516955 |
| Charitable Hospitals | 0.797236 |
| Corner Stores Planning | 0.587954 |
| separate CHNA report | 0.638278 |
| key area demographics | 0.62667 |
| Health Improvement Partnership | 0.768966 |
|
| Internal Revenue Service | 0.60586 |
| key concepts | 0.896043 |
| planning interventions | 0.528621 |
| Greater Waterbury Health | 0.786123 |
| health departments | 0.552383 |
| collaborative work | 0.62246 |
| CHNA report | 0.778823 |
| nonprofit organizations | 0.517926 |
| hospital facilities | 0.617005 |
| community collaborative map | 0.645935 |
| health department | 0.61926 |
| combined effort | 0.5177 |
| real-life examples | 0.516076 |
| community needs | 0.565097 |
| local public health | 0.627385 |
| hospital facility | 0.903604 |
| community health centers | 0.698072 |
| greater collective impact | 0.646437 |
| free registration | 0.522513 |
| joint CHNA report | 0.641319 |
| collective impact | 0.726132 |
| joint CHNA reports. | 0.637787 |
| unrelated hospital organizations | 0.635128 |
| effective planning tool | 0.594403 |
|
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Cardiovascular Health Status by Occupational Group - 21States, 2013 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| normal blood glucose | 0.443053 |
| health care provider | 0.457322 |
| highest prevalence | 0.483788 |
| ideal scores | 0.592227 |
| ideal individual CHMs | 0.507112 |
| education level | 0.487903 |
| BRFSS | 0.502014 |
| blood pressure | 0.800216 |
| BRFSS questions | 0.464694 |
| body mass index | 0.529788 |
| social services employees | 0.619974 |
| American Heart Association | 0.675906 |
| respondents | 0.483498 |
| cardiovascular health indicators | 0.470527 |
| material moving employees | 0.537525 |
| ideal cardiovascular health | 0.592292 |
| prevalence ratios | 0.472621 |
| normal blood pressure | 0.45011 |
| United States | 0.497691 |
| Individual cardiovascular health | 0.473526 |
| effective health promotion | 0.466118 |
| cardiovascular health interventions | 0.46136 |
| U.S. occupational groups | 0.472915 |
| fewer CHMs | 0.55249 |
| cardiovascular health research | 0.46306 |
|
| health promotion | 0.57465 |
| occupation module | 0.505319 |
| major groups.¶ Respondents | 0.483411 |
| cardiovascular health | 0.946429 |
| prevalence | 0.509985 |
| employer-sponsored health promotion | 0.464633 |
| heart disease | 0.488389 |
| heart disease mortalities | 0.440872 |
| cardiovascular health status | 0.587835 |
| cardiovascular health metrics | 0.58288 |
| National Institute | 0.46504 |
| CHM score | 0.752765 |
| health promotion programs | 0.553538 |
| fewer CHM | 0.501372 |
| active military duty | 0.530263 |
| lowest adjusted prevalence | 0.504402 |
| occupational safety | 0.537607 |
| CHM scores | 0.466282 |
| occupational groups | 0.771404 |
| occupation numeric codes | 0.446758 |
| physical activity | 0.703508 |
| CDC Worksite Health | 0.442953 |
| high blood pressure | 0.635854 |
| Standard Occupational Classification | 0.455346 |
|
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Centers for Disease Control and Prevention |
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Assessing Change in Avian Influenza AH7N9 Virus InfectionsDuring the Fourth Epidemic - China, September 2015-August 2016 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| secondary infections | 0.444821 |
| virus transmission | 0.461703 |
| current candidate vaccine | 0.504108 |
| annual avian influenza | 0.45272 |
| earlier epidemics | 0.515061 |
| sex distribution | 0.469688 |
| virus | 0.958435 |
| continued risk assessment | 0.622746 |
| respiratory distress syndrome | 0.498016 |
| Disease Control | 0.527197 |
| virus internal genes | 0.500498 |
| pathogenic avian influenza | 0.535578 |
| China | 0.484132 |
| infections | 0.751503 |
| epidemic season | 0.491671 |
| rural areas | 0.622829 |
| candidate vaccine virus | 0.506499 |
| human-to-human transmission | 0.525393 |
| mammalian adaptation | 0.470895 |
| virus infections | 0.532821 |
| virus human infections | 0.640564 |
| previous epidemics | 0.611086 |
| epidemiologically linked infections | 0.495491 |
|
| acute respiratory distress | 0.495288 |
| epidemic | 0.877017 |
| candidate vaccine viruses | 0.656673 |
| avian influenza virus | 0.64242 |
| annual epidemics | 0.485076 |
| patients | 0.456442 |
| national containment-control-eradication program | 0.51187 |
| divergent virus lineages | 0.490369 |
| longer epidemic period | 0.686171 |
| new areas | 0.55215 |
| virus epidemics | 0.653928 |
| virus infection | 0.605292 |
| novel reassortant viruses | 0.474996 |
| human infections | 0.715833 |
| epidemics | 0.760536 |
| virus surveillance | 0.567274 |
| live poultry exposure | 0.439152 |
| illness onset | 0.524746 |
| infected persons | 0.48466 |
| severe illness | 0.470412 |
| humans | 0.460506 |
| Chinese Center | 0.450771 |
| live-poultry markets | 0.557162 |
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