| 4424 |
Centers for Disease Control and Prevention |
Html |
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Diseases & Conditions A-Z Index - M |
CDC Diseases and Conditions A-Z Index |
| Error processing SSI | 0.940194 |
| Microsoft PowerPoint file | 0.539066 |
| ePub file | 0.467704 |
| Microsoft Word file | 0.542681 |
| Mental Health | 0.565145 |
| Respiratory Syndrome Coronavirus | 0.544949 |
| Zika Virus Infection | 0.610389 |
| Monkeypox Vaccination | 0.485139 |
| Disease Control | 0.487227 |
| Microsoft Excel file | 0.536911 |
| microalgal bloom-associated illness | 0.491071 |
| Mycobacterium abscessus Infection | 0.628124 |
| Staphylococcus aureus | 0.532402 |
| Contact CDC | 0.541038 |
| Multidrug-Resistant TB | 0.541841 |
| Marburg Hemorrhagic Fever | 0.503763 |
| page options Skip | 0.558182 |
| Form Controls TOPIC | 0.519919 |
| different file formats | 0.540611 |
| Bovine Spongiform Encephalopathy | 0.500158 |
| Apple Quicktime file | 0.532703 |
| Musculoskeletal Disorders | 0.479604 |
| organ dysfunction syndrome | 0.486709 |
| CDC A-Z | 0.68942 |
| RealPlayer file | 0.458618 |
|
| Adobe PDF file | 0.534198 |
| CoV) | 0.464263 |
| Measles Vaccination | 0.474249 |
| Harmful Algal Bloom | 0.492437 |
| Mumps Vaccination | 0.46442 |
| processing SSI file | 0.92483 |
| Search Form Controls | 0.721465 |
| A-Z Index | 0.986766 |
| Mycoplasma pneumoniae Infection | 0.581897 |
| MDR TB | 0.562864 |
| Mycobacterium avium Complex | 0.741654 |
| Mad Cow Disease | 0.497121 |
| Muscular Dystrophy | 0.51894 |
| Conditions A-Z Index | 0.806451 |
| Microsporidia Infection | 0.513929 |
| CDC Topics | 0.637855 |
| Search The CDC | 0.588151 |
| Clifton Road Atlanta | 0.47646 |
| MMR Vaccination | 0.462416 |
| Text file | 0.460907 |
| Mycobacterium tuberculosis Infection | 0.631394 |
| (Muscular Dystrophy) | 0.515229 |
| RIS file | 0.465905 |
| SAS file | 0.457736 |
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Centers for Disease Control and Prevention |
Html |
en |
Cytomegalovirus (CMV) and Congenital CMV Infection, Overview |
Overview of CMV and congenital CMV infection: causes, transmission, testing for, and treating CMV infection. |
| CMV infections | 0.418863 |
| commonly recommended step | 0.240026 |
| common virus | 0.206424 |
| common health problem | 0.238256 |
| CMV | 0.902799 |
| people | 0.289444 |
| virus | 0.214755 |
|
| infected person | 0.227386 |
| healthy people | 0.245199 |
| CMV infection | 0.723894 |
| Infection Prevention | 0.208417 |
| congenital CMV infection | 0.668608 |
| immune systems | 0.357054 |
|
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| 4739 |
Centers for Disease Control and Prevention |
Html |
en |
Transmission - Eastern Equine Encephalitis |
Eastern Equine Encephalitis is a rare disease that is caused by a virus spread by infected mosquitoes.
|
| equine encephalitis virus | 0.811819 |
| Cs. melanura | 0.624295 |
| uninfected mammals | 0.507254 |
| Transmission | 0.337351 |
| EEEV infection | 0.51413 |
| infected birds | 0.508222 |
| concentration | 0.343699 |
| significant risk factor | 0.672416 |
| Aedes | 0.370979 |
| cycle | 0.336743 |
| freshwater hardwood swamps | 0.770102 |
|
| bloodstreams | 0.378011 |
| avian hosts | 0.531173 |
| EEEV infections | 0.499578 |
| Culex species | 0.532507 |
| Eastern | 0.337072 |
| important vector | 0.514651 |
| bridge | 0.332255 |
| human infection | 0.523515 |
| humans | 0.476798 |
| Culiseta melanura mosquitoes | 0.914496 |
|
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| 6742 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Kenya - Where We Work |
In Kenya, the CDC is addressing the region's toughest health problems at their source, directly working with vulnerable families and communities in local hospitals, clinics, and laboratories. |
| Kibera | 0.520997 |
| CDC | 0.827011 |
| endorsement | 0.493304 |
| largest informal settlements | 0.9511 |
| offices | 0.460552 |
| large PEPFAR | 0.756244 |
| malaria | 0.484726 |
| CDC-Kenya office | 0.720028 |
| infectious disease threats | 0.963271 |
| major locations | 0.769349 |
| lifecycle | 0.482646 |
| Content source | 0.72811 |
| HHS | 0.499704 |
| bench research | 0.767824 |
| Nairobi | 0.609507 |
| operations | 0.466486 |
| world | 0.461064 |
| largest office | 0.742097 |
|
| Notice | 0.468934 |
| HIV/AIDS program | 0.782107 |
| sponsors | 0.458665 |
| showcases | 0.466908 |
| place | 0.460259 |
| policy | 0.463383 |
| vulnerable families | 0.834646 |
| work | 0.554109 |
| tuberculosis | 0.486843 |
| tropical diseases | 0.769474 |
| programmatic oversight | 0.792598 |
| local clinics | 0.806492 |
| Kisumu | 0.682942 |
| practice change | 0.764513 |
| non-federal site | 0.776595 |
| region | 0.471403 |
| employees | 0.458775 |
| office locations | 0.708357 |
|
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| 8003 |
Centers for Disease Control and Prevention |
Html |
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Science Clips - Monday, January 28, 2013 |
null |
| smoke-free laws | 0.624708 |
| hepatitis C. Looking | 0.73019 |
| independent risk factor | 0.694094 |
| New York City | 0.711341 |
| CDC laboratorians | 0.726958 |
| important articles | 0.629102 |
| ongoing burden | 0.619452 |
| CDC Science Clips | 0.823511 |
| 2009-2010 H1N1 pandemic | 0.706458 |
| school-level implementation | 0.619852 |
| Librarian | 0.607937 |
| forward looking articles | 0.69923 |
| Current influenza prevention | 0.723849 |
| Barbara Landreth | 0.610743 |
| Science Clips Production | 0.71945 |
| non-pharmaceutical interventions | 0.620558 |
| high-risk group | 0.616317 |
| response teams | 0.610737 |
| DHHS | 0.614972 |
| life expectancy | 0.622813 |
| Haiti earthquake | 0.607973 |
| preparedness plans | 0.608797 |
| state level | 0.622213 |
| Chronic Disease Self-Management | 0.736695 |
| treatment strategies | 0.610045 |
|
| Lancet notes reasons | 0.693668 |
| MC Farrelly | 0.625692 |
| Web Developer | 0.693273 |
| public health priorities | 0.713021 |
| CDC journal | 0.757942 |
| timely commentary | 0.607799 |
| Rickettsia spp | 0.612716 |
| retrospective cohort study | 0.701238 |
| cautious optimism | 0.614784 |
| individual benefit | 0.610775 |
| CY Kato | 0.61384 |
| public health | 0.807657 |
| Science Clips | 0.924246 |
| chronic diseases | 0.629239 |
| state tobacco control | 0.716874 |
| KB Enfield | 0.608669 |
| public health literature | 0.691609 |
| B. Thacker CDC | 0.797895 |
| EIS alumnus SG | 0.713837 |
| prominent role | 0.60994 |
| youth smoking | 0.612682 |
| John Iskander | 0.730238 |
| New England Journal | 0.732069 |
| Science Clips features | 0.76289 |
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Centers for Disease Control and Prevention |
Html |
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Anthrax Symptoms |
Symptoms of anthrax depend on the type of infection but all forms of this infection can be deadly if untreated. Read more about the symptoms of anthrax. |
| case definitions | 0.395311 |
| types | 0.2382 |
| CDC guidance | 0.411242 |
| death | 0.237486 |
| injection drug | 0.464466 |
| Injection anthrax symptoms | 0.992629 |
| cutaneous anthrax | 0.899481 |
| body | 0.272583 |
|
| type | 0.241583 |
| doctors | 0.242106 |
| person | 0.23948 |
| Mind | 0.239445 |
| anthrax depend | 0.879622 |
| injection site infections | 0.63171 |
| severe illness | 0.428613 |
|
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| 10319 |
Centers for Disease Control and Prevention |
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HAN Archive - 00001 - Terrorist Activity Response |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| local laboratory directors | 0.819992 |
| public information officers | 0.803282 |
| unusual occurrence | 0.684104 |
| CDC | 0.664533 |
| access | 0.436626 |
| illnesses | 0.442377 |
| dispatch centers | 0.63928 |
| http://emergency.cdc.gov/ | 0.436505 |
| unusual disease occurrence | 0.90462 |
| numbers | 0.439683 |
| HAN coordinators | 0.643594 |
| hospital emergency departments | 0.832335 |
| units | 0.438674 |
| assistance | 0.437837 |
| international organizations | 0.614004 |
| Health Alert Network | 0.94491 |
| segments | 0.445649 |
| enhances health decisions | 0.828331 |
| Prevention | 0.435932 |
| critical health issues | 0.816258 |
| credible information | 0.635264 |
| Disease Control | 0.62159 |
| possible unusual disease | 0.90057 |
|
| clinician organizations | 0.6327 |
| e-mail | 0.436731 |
| Tuesday | 0.440111 |
| state | 0.485324 |
| surveillance | 0.437183 |
| situation | 0.443079 |
| PM EDT | 0.74463 |
| emergency response | 0.639582 |
| emergency number | 0.631483 |
| website | 0.436592 |
| healthalert | 0.436696 |
| healthy living | 0.614998 |
| patterns | 0.440631 |
| local health officers | 0.833783 |
| message | 0.436546 |
| alert status | 0.672391 |
| people | 0.435847 |
| local public health | 0.861038 |
| biological agents | 0.649329 |
| strong partnerships | 0.616067 |
| current events | 0.652 |
| chemical | 0.440485 |
| cdc.gov | 0.436661 |
|
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Centers for Disease Control and Prevention |
Html |
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National Map of Stroke Death Rates, Whites'Maps'DHDSP'CDC |
Stroke Death Rates Whites |
| Stroke | 0.260841 |
| data table | 0.887179 |
| comparisons | 0.270605 |
| Click | 0.970036 |
|
| additional information | 0.849891 |
| map | 0.488059 |
| Heart Disease | 0.86596 |
|
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| 13302 |
Centers for Disease Control and Prevention |
Video |
en |
Lisa: My Experience with BRCA Counseling and Testing |
Lisa, age 40, talks about how her family history led her to get genetic counseling and testing for BRCA gene mutations. She describes the genetic testing experience, and how it helped her understand her family history and manage her risk for breast cancer.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://www.cdc.gov/cancer/videos/breast/BringYourBrave/Lisa/MyExperienceCT/MyExperienceCT_lowRes.mp4 |
| Experience | 0.660934 |
| BRCA Counseling | 0.907396 |
|
| YouTube | 0.883609 |
| Lisa | 0.818773 |
|
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Centers for Disease Control and Prevention |
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Products - Data Briefs - Number 241 - April 2016 |
Increase in Suicide in the United States, 1999–2014 |
| female age-adjusted rate | 0.20531 |
| suicide mortality | 0.304241 |
| important public health | 0.210648 |
| Margaret Warner | 0.202208 |
| United States | 0.324464 |
| Access data table | 0.504436 |
| age group | 0.281252 |
| second-highest suicide rate | 0.3121 |
| age-adjusted death rates | 0.254059 |
| Associate Director | 0.217753 |
| suicide rates | 0.938196 |
| age-adjusted suicide rate | 0.56591 |
| percent increase | 0.590549 |
| Data Brief No. | 0.212761 |
| Sally C. Curtin | 0.296785 |
| suicide rate | 0.630688 |
| codes U03 | 0.386954 |
| lowest suicide rate | 0.310685 |
| age-adjusted rate | 0.233645 |
| second-largest percent increase | 0.309259 |
| National Center | 0.231387 |
| Suicide deaths | 0.371296 |
| female suicide rates | 0.316832 |
| females | 0.385745 |
|
| common suicide method | 0.361697 |
| Percent increases | 0.210256 |
| suffocation | 0.223266 |
| nchs data brief | 0.313181 |
| annual percent increase | 0.303101 |
| rate ratios | 0.262924 |
| National Vital Statistics | 0.768232 |
| males | 0.354894 |
| age groups | 0.581205 |
| Suicide numbers | 0.237808 |
| cause-of-death codes U03 | 0.269651 |
| male age-adjusted rate | 0.205345 |
| generally declining mortality | 0.203084 |
| multiple cause-of-death mortality | 0.201367 |
| International Statistical Classification | 0.638908 |
| Related Health Problems | 0.623388 |
| suicides | 0.261405 |
| largest percent increase | 0.30681 |
| suicide methods | 0.265392 |
| average annual percent | 0.299942 |
| Holly Hedegaard | 0.205521 |
| frequent suicide method | 0.322463 |
| small number | 0.204659 |
|
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