| 930 |
Centers for Disease Control and Prevention |
Html |
en |
Fungal Infections - 10 Questions to Protect Your Health | CDC Features |
Have you wondered about your risk for fungal infection? Here are 10 questions you can use to understand fungal infections, assess your chance of getting sick, and know what you need to do to stay healthy. |
| approximate regions | 0.452165 |
| common bloodstream infections | 0.575804 |
| cryptococcal meningitis | 0.453978 |
| oral candidiasis | 0.45603 |
| indoor surfaces | 0.454535 |
| ringworm infection | 0.4928 |
| fungal infection | 0.768872 |
| immune systems | 0.504165 |
| similar symptoms | 0.449236 |
| Early testing | 0.44955 |
| fungal diseases | 0.608771 |
| Click map | 0.452109 |
| stem cell transplant | 0.490455 |
| southwestern United States | 0.494524 |
| larger version | 0.452573 |
| major cause | 0.451936 |
| certain disease-causing fungi | 0.519225 |
| rheumatoid arthritis | 0.449662 |
| Harmful fungi | 0.472129 |
| fungal skin infections | 0.709886 |
| bloodstream infections | 0.588023 |
| chicken coops | 0.452561 |
| genital candidiasis | 0.460637 |
| lung infections | 0.579106 |
| antifungal medication | 0.502465 |
|
| United States | 0.597708 |
| hairless patches | 0.450369 |
| bacterial infections | 0.525987 |
| shaded areas | 0.454261 |
| Pneumocystis pneumonia | 0.452895 |
| Adult animals | 0.451724 |
| vulvovaginal candidiasis | 0.462481 |
| different species | 0.459887 |
| prevention tips | 0.449012 |
| proper diagnosis | 0.453547 |
| Fungal meningitis | 0.574278 |
| Valley fever | 0.501979 |
| transplant patients | 0.450175 |
| n’t work | 0.449701 |
| organ transplant | 0.449963 |
| vaginal yeast infection | 0.51992 |
| people | 0.471379 |
| fungal infections | 0.963721 |
| bat droppings | 0.452961 |
| healthcare provider | 0.448915 |
| human skin | 0.457838 |
| Fungal Disease Awareness | 0.613692 |
| cause symptoms | 0.458615 |
| well-known fungal infections | 0.673336 |
|
CLICK HERE |
| 1308 |
Centers for Disease Control and Prevention |
Html |
en |
Fatal Meningococcal Disease in a Laboratory Worker -California, 2012 |
Channing D. Sheets, MSEd1, Kathleen Harriman, PhD1, Jennifer Zipprich, PhD1, Janice K. Louie, MD1, William S. |
| CalOSHA Aerosol Transmissible | 0.652927 |
| San Francisco Department | 0.582404 |
| fatal serogroup | 0.590264 |
| Diseases Standard requirements | 0.584436 |
| postexposure chemoprophylaxis | 0.590258 |
| research laboratory employees | 0.610806 |
| Aerosol Transmissible Diseases | 0.652303 |
| meningococcal vaccination | 0.609964 |
| laboratory biosafety recommendations | 0.63056 |
| biosafety cabinet | 0.632472 |
| personal protective equipment | 0.63875 |
| recommended laboratory safety | 0.614242 |
| emergency department | 0.62939 |
| laboratory biosafety training | 0.65193 |
| meningococcal disease | 0.912168 |
| laboratory | 0.750324 |
| serogroup | 0.598989 |
| case fatality rate | 0.62461 |
| specific laboratory operations | 0.598585 |
| open laboratory bench | 0.666662 |
| William S. Probert | 0.589493 |
| California Department | 0.589915 |
| meningococcal vaccine | 0.693546 |
| public health guidelines | 0.587201 |
| federal Occupational Safety | 0.589428 |
|
| United States | 0.577882 |
| laboratory workers | 0.68462 |
| N. meningitidis | 0.811366 |
| Occupational Safety | 0.644265 |
| meningococcal vaccines | 0.612904 |
| nonrecirculating biosafety cabinet | 0.602738 |
| local health department | 0.744589 |
| patient isolates | 0.609957 |
| serogroup B vaccine | 0.578601 |
| laboratory staff members | 0.676991 |
| Public Health Department | 0.600139 |
| public health | 0.687284 |
| quadrivalent meningococcal vaccine | 0.657784 |
| Health Administration | 0.590701 |
| Janice C. Prudhomme | 0.588656 |
| N. meningitidis strains | 0.681691 |
| safe handling | 0.636022 |
| Microbial Diseases Laboratory | 0.610173 |
| Transmissible Diseases Standard | 0.652067 |
| laboratory practice | 0.582616 |
| Janice K. Louie | 0.586535 |
| laboratory biosafety program | 0.62948 |
| emergency department staff | 0.592629 |
| research laboratory | 0.611324 |
|
CLICK HERE |
| 1330 |
Centers for Disease Control and Prevention |
Html |
en |
Living with FASDs: Sasha's Story | CDC Features |
September 9th is International Fetal Alcohol Spectrum Disorders (FASD) Awareness Day. Read about Sasha's experiences with FASDs. Also, learn about new materials on alcohol use during pregnancy and FASDs.
|
| multiple disabilities | 0.423954 |
| high school | 0.416932 |
| school community | 0.42276 |
| long way | 0.42112 |
| external brain | 0.412041 |
| large national grocery | 0.514353 |
| Melissa | 0.42713 |
| National Organization | 0.413837 |
| customer service skills | 0.512969 |
| annual Seminar Series | 0.502027 |
| social media tools | 0.50145 |
| young teen | 0.419446 |
| Typical milestones | 0.416203 |
| FASD community | 0.487821 |
| fellow students | 0.421711 |
| Risk Children | 0.421543 |
| Critical Issues | 0.412974 |
| social relationships | 0.424947 |
| Suicide Prevention Program | 0.501936 |
| mother drank alcohol | 0.609619 |
| constant coaching | 0.416498 |
| Georgia Department | 0.41788 |
| moral disorder | 0.414677 |
| Sasha | 0.935351 |
| FASD Awareness | 0.625142 |
|
| everyday things | 0.419561 |
| learning problems | 0.425547 |
| great family support | 0.509275 |
| brain-based disorder | 0.426809 |
| well-rounded young man | 0.502798 |
| new materials | 0.442515 |
| Sasha proudly shares | 0.781735 |
| formative research findings | 0.50251 |
| Special Needs | 0.412927 |
| numerous difficulties | 0.422631 |
| FASDs | 0.473414 |
| CDC Materials | 0.412527 |
| Fetal Alcohol Syndrome | 0.536478 |
| under-stimulated environment | 0.418078 |
| Georgia chapter | 0.416892 |
| additional responsibilities | 0.413649 |
| team sports | 0.424782 |
| Southeast FASD Regional | 0.571029 |
| alcohol-free pregnancies | 0.413258 |
| active member | 0.414165 |
| materials target women | 0.509689 |
| national nonprofit resource | 0.506578 |
| FASD Communities | 0.480366 |
| numerous awards | 0.415555 |
|
CLICK HERE |
| 4734 |
Centers for Disease Control and Prevention |
Html |
en |
Symptoms - Eastern Equine Encephalitis |
Eastern Equine Encephalitis is a rare disease that is caused by a virus spread by infected mosquitoes.
|
| clinical EEEV infections | 0.797382 |
| Brain lesions | 0.648123 |
| EEEV IgM tests | 0.828704 |
| contact your state | 0.6325 |
| glucose levels | 0.636971 |
| convalescent-phase serum specimens | 0.751873 |
| public health authorities | 0.752035 |
| consistent clinical presentation | 0.740345 |
| severe intellectual impairment | 0.762306 |
| diagnostic tests | 0.636104 |
| systemic illness | 0.713603 |
| positive PCR results | 0.739511 |
| supportive treatment | 0.63333 |
| EEE die | 0.68951 |
| human vaccine | 0.635779 |
| abrupt onset | 0.863881 |
| state public health | 0.746403 |
| brain stem | 0.640986 |
| nervous system involvement | 0.645073 |
| older children | 0.63887 |
| health department laboratories | 0.735763 |
| Serologic testing | 0.633377 |
| future infections | 0.633113 |
| rare disease | 0.641736 |
| EEEV infection | 0.927177 |
|
| encephalitic form | 0.716917 |
| national authorities | 0.634033 |
| specific antiviral treatment | 0.759214 |
| Eastern equine encephalitis | 0.817894 |
| elevated protein levels | 0.744416 |
| EEEV disease cases | 0.790521 |
| state health department | 0.901134 |
| physical sequelae | 0.671952 |
| incubation period | 0.662427 |
| neuroinvasive EEEV disease | 0.785191 |
| EEEV-specific IgM antibody | 0.804409 |
| neutrophil-predominant pleocytosis | 0.634693 |
| personality disorders | 0.633781 |
| cranial nerve dysfunction | 0.766808 |
| encephalitic patients | 0.718114 |
| host factors | 0.64979 |
| minimal involvement | 0.637882 |
| severe sequelae | 0.678772 |
| minimal brain dysfunction | 0.784086 |
| EEEV IgM test | 0.826165 |
| healthcare provider | 0.636449 |
| clinical samples | 0.6346 |
| brain tissue | 0.637834 |
| Systemic infection | 0.70878 |
|
CLICK HERE |
| 7634 |
Centers for Disease Control and Prevention |
Html |
en |
National Diabetes Month - November 2012 |
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. |
| mmwrq@cdc.gov. | 0.562308 |
| Kidney Diseases | 0.583282 |
| Human Services | 0.636019 |
| assistive technology | 0.564298 |
| Fowler SE | 0.537042 |
| Engl J Med | 0.555994 |
| MMWR HTML versions | 0.649568 |
| U.S. Department | 0.632271 |
| electronic PDF version | 0.637818 |
| National Institutes | 0.550647 |
| Health support | 0.550165 |
| Contact GPO | 0.561324 |
| National Diabetes | 0.795153 |
| weight loss | 0.548669 |
| commercial sources | 0.53592 |
| current prices | 0.532989 |
| National Chronic Kidney | 0.699628 |
| injection safety | 0.53678 |
| original paper copy | 0.64472 |
| Knowler WC | 0.564538 |
| similar devices | 0.542879 |
| chronic kidney disease | 0.855312 |
| print materials | 0.541631 |
| United States | 0.828178 |
|
| U.S. Government Printing | 0.654727 |
| original MMWR paper | 0.645302 |
| New resources | 0.541723 |
| Youth study | 0.546129 |
| Disease Surveillance | 0.542583 |
| lifestyle intervention | 0.528279 |
| MMWR readers | 0.542545 |
| character translation | 0.529973 |
| Insulin pens | 0.541209 |
| National Institute | 0.555448 |
| format errors | 0.530866 |
| diabetes medications | 0.747835 |
| subject line | 0.560552 |
| typeset documents | 0.53739 |
| trade names | 0.536011 |
| official text | 0.528546 |
| kidney disease trends | 0.69411 |
| physical activity | 0.548575 |
| U.S. youths | 0.556573 |
| young persons | 0.558662 |
| non-CDC sites | 0.534934 |
| et al | 0.533221 |
| electronic conversions | 0.527542 |
| diabetes | 0.976215 |
|
CLICK HERE |
| 7923 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Hospital Discharge Rates Beforeand After Implementation of a City-wide Smoking Ban in a TexasCity, 2004-2008 - CDC |
The objective of this study was to examine hospital discharge data on 5 tobacco-related diagnoses before and after implementation of a smoking ban in a small Texas city. |
| Hospital Inpatient Discharge | 0.588493 |
| rate ratio | 0.609919 |
| discharge diagnosis | 0.543708 |
| Texas rates | 0.4975 |
| Tyler | 0.584074 |
| before-ban discharge rate | 0.595324 |
| control city | 0.491312 |
| Texas Health Science | 0.603319 |
| Beaumont hospitals | 0.509509 |
| Beaumont ban | 0.588792 |
| total discharges | 0.510283 |
| non-Hispanic black population | 0.493961 |
| racial disparity | 0.487111 |
| discharge rates | 0.9692 |
| total discharge rate | 0.607148 |
| intercensal estimate | 0.518485 |
| hospital discharge rates | 0.722286 |
| tobacco-related diagnoses | 0.739546 |
| hospital discharge data | 0.677069 |
| East Texas | 0.494049 |
| Texas BRFSS data | 0.493845 |
| MI discharges | 0.488674 |
|
| rate ratios | 0.502323 |
| acute MI | 0.706082 |
| nontobacco-related diagnoses | 0.491634 |
| hospital discharges | 0.517064 |
| cerebrovascular accident | 0.489514 |
| before-ban rate | 0.508217 |
| smoking ban | 0.705588 |
| tobacco-related discharge rates | 0.671643 |
| Health Science Center | 0.601851 |
| after-ban rate | 0.508163 |
| Beaumont | 0.734412 |
| Texas | 0.60724 |
| intervention city | 0.515256 |
| small Texas city | 0.522195 |
| residential zip code | 0.548754 |
| city-wide smoking ban | 0.629247 |
| baseline discharge rate | 0.604906 |
| after-ban discharge rate | 0.595425 |
| health benefits | 0.526816 |
| hospital discharge date | 0.589184 |
| acute myocardial infarction | 0.587074 |
|
CLICK HERE |
| 8282 |
Centers for Disease Control and Prevention |
Html |
en |
Action needed now to halt spread of deadly bacteria |
[Title] |
| additional life-threatening infections | 0.27495 |
| CRE prevention programs | 0.526129 |
| CRE rates | 0.417035 |
| single health care | 0.283822 |
| CDC journal Morbidity | 0.284026 |
| bacteria resistant | 0.256534 |
| health care personnel | 0.296374 |
| health care providers | 0.257488 |
| U.S. health protection | 0.234959 |
| health care | 0.695104 |
| health care professionals | 0.282846 |
| key health indicators | 0.219561 |
| Vital Signs report | 0.421046 |
| CDC Director Tom | 0.320284 |
| CRE bacteria | 0.665167 |
| potentially untreatable infections | 0.281633 |
|
| health care community | 0.318626 |
| CRE prevention | 0.536744 |
| CDC’s Division | 0.200458 |
| practical CRE prevention | 0.535251 |
| health care facilities | 0.306634 |
| long-term acute care | 0.860296 |
| core prevention measures | 0.202015 |
| CRE infection. | 0.436206 |
| CRE | 0.925944 |
| CRE infections | 0.525222 |
| significant medical care | 0.241741 |
| CDC report | 0.212122 |
| CRE infection | 0.431039 |
| past decade | 0.245889 |
| acute care facilities | 0.836171 |
| Klebsiella pneumoniae | 0.259513 |
|
CLICK HERE |
| 9419 |
Centers for Disease Control and Prevention |
Html |
es |
Adiposidad, marcadores biológicos de enfermedad y resistencia a la insulina en adolescentes mexicoamericanos, 2004-2005. |
null |
| valores metabólicos anómalos | 0.428521 |
| body mass | 0.426523 |
| Adult Treatment Panel | 0.459028 |
| Diabetes Association | 0.439776 |
| distrito escolar | 0.446904 |
| variable dependiente | 0.426931 |
| Nutrition Examination Survey | 0.451125 |
| Homeostasis model assessment | 0.447717 |
| sexo masculino | 0.443741 |
| among us adolescents | 0.464384 |
| Texas Pediatric Diabetes | 0.449583 |
| Mexican Americans | 0.427493 |
| obesity-related metabolic risk | 0.426634 |
| colesterol hdl | 0.998267 |
| Estados Unidos | 0.573733 |
| Pediatr Adolesc Med | 0.504169 |
| zona fronteriza texas-méxico | 0.450393 |
| Dolan LM | 0.426784 |
| colesterol ldl | 0.653811 |
| metabolic syndrome | 0.577943 |
| Flegal KM | 0.448926 |
| baja densidad | 0.459158 |
| Diabetes Prevention Study | 0.446884 |
| RI frente | 0.485038 |
| United States | 0.448019 |
|
| Texas Southmost | 0.470613 |
| pediatric diabetes research | 0.483603 |
| RI OR | 0.447116 |
| Soc Sci Med | 0.447641 |
| adolescentes alumnos | 0.443895 |
| Program Adult Treatment | 0.460831 |
| prevent diabetes | 0.437241 |
| alta densidad | 0.457036 |
| diabetes tipo | 0.963211 |
| Gungor N | 0.431406 |
| valores faltantes | 0.441888 |
| Arch Pediatr Adolesc | 0.50079 |
| Diabetes Care | 0.593173 |
| Education Program Adult | 0.453825 |
| Cholesterol Education Program | 0.452543 |
| Carroll MD | 0.441036 |
| obesos también | 0.430879 |
| National Cholesterol Education | 0.450953 |
| valores antropométricos anómalos | 0.429859 |
| subjective social status | 0.442827 |
| high blood pressure | 0.550844 |
| pediatric metabolic | 0.438935 |
| metabolic syndrome components | 0.431263 |
| cardiovascular risks | 0.426954 |
|
CLICK HERE |
| 11835 |
Centers for Disease Control and Prevention |
Html |
en |
CDC update on Ebola Response and PPE: 10-20-2014 | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| press briefing | 0.583858 |
| Centers | 0.25378 |
| CDC director | 0.749408 |
| PPE | 0.296654 |
| Monday | 0.259737 |
| Tom Frieden | 0.5679 |
| telebriefing | 0.254829 |
| M.D. | 0.254231 |
| numbers | 0.251357 |
| outbreak responders | 0.604596 |
| historical purposes | 0.559755 |
| navigation Skip | 0.787178 |
| Prevention | 0.253637 |
| transcript | 0.420219 |
| Disease Control | 0.518198 |
| U.S. DEPARTMENT | 0.491959 |
| PASSCODE | 0.304184 |
| M.P.H | 0.294356 |
| Important Instructions | 0.518656 |
|
| dial | 0.263818 |
| International | 0.255728 |
| Non Media | 0.50999 |
| website | 0.260823 |
| list Skip | 0.789653 |
| CDC Media | 0.678637 |
| question | 0.417252 |
| page options Skip | 0.983777 |
| touchtone phone | 0.534122 |
| ET | 0.258182 |
| CDC Ebola Response | 0.912288 |
| West Africa | 0.552959 |
| HUMAN SERVICES | 0.491133 |
| visit | 0.258432 |
| time | 0.252412 |
| 15 minutes | 0.250616 |
| press conference | 0.492197 |
| Audio | 0.258197 |
|
CLICK HERE |
| 14310 |
Centers for Disease Control and Prevention |
Html |
en |
National Youth HIV & AIDS Awareness Day | CDC Features |
April 10th is National Youth HIV & AIDS Awareness Day (NYHAAD). This annual observance is the first day set aside to recognize the impact of the HIV/AIDS epidemic on young people. |
| annual observance | 0.624833 |
| National Youth HIV | 0.795825 |
| new HIV infections | 0.695961 |
| CDC | 0.586646 |
| confidential HIV counseling | 0.683921 |
| health care provider | 0.613907 |
| right way | 0.562023 |
| health centers | 0.567623 |
| school-based organizations | 0.563657 |
| state-of-the-art monitoring systems | 0.603909 |
| new HIV diagnoses | 0.698305 |
| work young people | 0.625642 |
| school-linked health services | 0.620817 |
| greater risk | 0.56872 |
| AIDS Awareness | 0.621146 |
| district level educators | 0.602831 |
| age groups | 0.564138 |
| critical step | 0.568682 |
| school health policies | 0.621581 |
| U.S. high school | 0.621501 |
| sexually transmitted diseases | 0.618362 |
| HIV/AIDS epidemic | 0.675062 |
| youth risk behaviors | 0.636892 |
| health problems | 0.574781 |
| sample social media | 0.602825 |
|
| school-based HIV prevention | 0.695871 |
| pregnancy prevention programs | 0.608302 |
| sexual risk behaviors | 0.635424 |
| people’s health | 0.597612 |
| support student access | 0.610163 |
| United States | 0.564637 |
| positive school environment | 0.609268 |
| disproportionate number | 0.5682 |
| adolescent health | 0.56653 |
| young people | 0.967152 |
| unhealthy behaviors | 0.574832 |
| highest risk teens | 0.626433 |
| negative health outcomes | 0.625011 |
| NYHAAD Resources Web | 0.609554 |
| CDC data | 0.580444 |
| local education agencies | 0.701805 |
| HIV transmission | 0.623199 |
| AIDS-free generation | 0.568652 |
| routine health care | 0.613113 |
| health | 0.637608 |
| health costs | 0.568076 |
| high school students | 0.803854 |
| HIV | 0.818139 |
| effective health education | 0.623387 |
|
CLICK HERE |