| 4840 |
Centers for Disease Control and Prevention |
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Symptoms, Diagnosis, and Treatment -Anaplasmosis |
Anaplasmosis is a tickborne disease caused by the bacterium Anaplasma phagocytophilum. It was previously known as human granulocytic ehrlichiosis (HGE) and has more recently been called human granulocytic anaplasmosis (HGA).
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| A. phagocytophilum antigen | 0.478 |
| IgG antibody levels | 0.487009 |
| line treatment | 0.471168 |
| packed red blood | 0.481051 |
| negative laboratory result | 0.473766 |
| doxycycline | 0.478472 |
| blood cell count | 0.520737 |
| Mountain Spotted Fever | 0.590883 |
| white blood cells | 0.533802 |
| routine hospital blood | 0.475907 |
| similar tickborne diseases | 0.472254 |
| routine blood tests | 0.481531 |
| peripheral blood smear | 0.476317 |
| IgM antibodies | 0.469927 |
| midwestern United States | 0.472389 |
| diagnostic tests | 0.468582 |
| acutely infected donors | 0.466464 |
| patients | 0.491398 |
| IgM serologic titers | 0.484524 |
| symptoms | 0.475077 |
| healthy people | 0.469358 |
| A. phagocytophilum | 0.737237 |
| IgG IFA titer | 0.47753 |
| elevated liver enzyme | 0.466048 |
| concurrent IgG titer | 0.475881 |
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| anaplasmosis | 0.903267 |
| healthcare providers | 0.60444 |
| treatment | 0.494303 |
| Severely ill patients | 0.467249 |
| laboratory test results | 0.467809 |
| positive PCR result | 0.46771 |
| Severe clinical presentations | 0.481704 |
| infected tick | 0.479119 |
| recent tick bites | 0.476287 |
| illness | 0.477188 |
| complete blood cell | 0.480182 |
| case-fatality rates | 0.465572 |
| disease | 0.507525 |
| western black-legged tick | 0.489577 |
| low white blood | 0.480303 |
| organ transplant | 0.469014 |
| previously healthy people | 0.467288 |
| longterm immunosuppressive therapy | 0.471514 |
| bacterium Anaplasma phagocytophilum | 0.484628 |
| Rocky Mountain Spotted | 0.588484 |
| tick bite | 0.504948 |
| A. phagocytophilum infection | 0.478567 |
| clinical suspicion | 0.499113 |
| confirmatory laboratory tests | 0.470583 |
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| 6701 |
Centers for Disease Control and Prevention |
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Fatal Exposure to Methylene Chloride Among BathtubRefinishers - United States, 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. |
| blood methylene chloride | 0.524485 |
| worker deaths | 0.34581 |
| Kenneth D. Rosenman | 0.374584 |
| bathtub refinisher fatalities | 0.397543 |
| work-related injury deaths | 0.361268 |
| stripping products | 0.350747 |
| professional bathtub refinishers | 0.381952 |
| maintenance man | 0.363281 |
| methylene chloride deaths | 0.565116 |
| methylene chloride-based stripper | 0.460065 |
| methylene chloride | 0.937718 |
| Control Evaluation | 0.364407 |
| worker safety protections | 0.351104 |
| COHb levels | 0.368866 |
| Control Evaluation program | 0.346783 |
| Program staff members | 0.345986 |
| methylene chloride vapor | 0.631821 |
| methylene chloride blood | 0.573972 |
| carbon monoxide | 0.361924 |
| bathtub refinishing company | 0.397246 |
| protective equipment | 0.357549 |
| methylene chloride strippers | 0.512087 |
| state OSHA investigations | 0.359732 |
| chloride blood levels | 0.457695 |
| methylene chloride fumes | 0.533693 |
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| public health agencies | 0.379419 |
| State Occupational Safety | 0.34939 |
| methylene chloride vapors | 0.515956 |
| worker safety agencies | 0.379648 |
| methylene chloride–based paint | 0.488439 |
| indicated methylene chloride | 0.53362 |
| professional bathtub | 0.385924 |
| Fatality Assessment | 0.366056 |
| Occupational Safety | 0.39605 |
| products | 0.356475 |
| bathtub refinishing | 0.486266 |
| bathtub refinishers | 0.414745 |
| do-it-yourself bathtub | 0.360868 |
| NIOSH Fatality Assessment | 0.3471 |
| methylene chloride exposure | 0.516195 |
| high methylene chloride | 0.508727 |
| methylene chloride exposures | 0.554267 |
| OSHA allowable air | 0.357135 |
| bathtub coating | 0.359763 |
| Michigan Fatality Assessment | 0.349117 |
| chloride stripping agents | 0.461684 |
| OSHA | 0.381557 |
| similar deaths | 0.346767 |
| worker safety | 0.382542 |
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| 6920 |
Centers for Disease Control and Prevention |
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Falls Among Older Adults: An Overview |
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| 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 |
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| 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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| 7991 |
Centers for Disease Control and Prevention |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 12_0143 |
Volumen 9 — Diciembre 20, 2012. |
| LeBlanc WG | 0.883828 |
| peor perfil | 0.824605 |
| Tannenbaum SL | 0.910684 |
| McClure LA | 0.831173 |
| Kachan D | 0.832148 |
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| Fernandez CA | 0.8561 |
| Arheart KL | 0.886585 |
| salud claves | 0.796706 |
| Chronic Dis | 0.8819 |
| vida sedentario | 0.801368 |
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| 10053 |
Centers for Disease Control and Prevention |
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CDC support to states, locals bolsters national health security | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Laboratory Resource Network | 0.592783 |
| EMP activities | 0.561171 |
| information security standards | 0.603541 |
| emergency public information | 0.636587 |
| Los Angeles County | 0.601194 |
| fungal meningitis outbreak | 0.600113 |
| emergency operations coordination | 0.606453 |
| Health Security Preparedness | 0.667275 |
| lead state responders | 0.602973 |
| E. coli-positive tests | 0.590406 |
| Strategic National Stockpile | 0.597084 |
| New York City | 0.601753 |
| Disease Control | 0.559829 |
| state health departments | 0.62102 |
| public health defense | 0.677584 |
| extensive budget cuts | 0.583969 |
| CDC Director Tom | 0.645764 |
| public health emergencies | 0.64569 |
| current fiscal environment | 0.590214 |
| state emergency preparedness | 0.656257 |
| Select Agent list | 0.599482 |
| Health Emergency Preparedness | 0.686073 |
| public health response | 0.661948 |
| local preparedness | 0.609188 |
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| M. P. H. | 0.586725 |
| state level | 0.556386 |
| select agents | 0.559739 |
| large metropolitan areas | 0.602202 |
| select agent regulations | 0.600081 |
| security measures | 0.557124 |
| annual report | 0.566134 |
| future public health | 0.644345 |
| public health threats | 0.727945 |
| health security | 0.716907 |
| Nile Virus outbreak | 0.597958 |
| public health emergency | 0.728052 |
| public health | 0.98026 |
| 50 states | 0.55551 |
| potential public health | 0.652559 |
| director CDC | 0.588882 |
| National Snapshot | 0.565767 |
| CDC support | 0.600749 |
| Technical Assistance Review | 0.58843 |
| multiple state | 0.568945 |
| local public health | 0.682344 |
| Public Health Preparedness | 0.813408 |
| Super Bowl preparation | 0.596755 |
| Hurricane Sandy | 0.602447 |
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| 10724 |
Centers for Disease Control and Prevention |
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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 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 11425 |
Centers for Disease Control and Prevention |
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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 |
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| 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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| 13959 |
Centers for Disease Control and Prevention |
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Healthy Homes | Tips by Room |
Good Health Begins at Home — Learn what you can do to help yourself and your family to have better health at home. |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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| 16044 |
Centers for Disease Control and Prevention |
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Free NIVW Web Tools: Children |
NIVW web tools offers NIVW buttons, badges and banners free for download, children and kids. |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 16383 |
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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