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CDC A-Z Index - A |
CDC A-Z Index |
| Microsoft PowerPoint file | 0.559669 |
| Acinetobacter Infection | 0.624625 |
| Blood Lead Epidemiology | 0.678927 |
| Immunodeficiency Syndrome | 0.554816 |
| Aortic Aneurysm | 0.694565 |
| Bacterial Core surveillance | 0.674637 |
| Microsoft Word file | 0.563284 |
| Adverse Childhood Experiences | 0.686885 |
| Abdominal Aortic Aneurysm | 0.60101 |
| Search Form Controls | 0.699802 |
| Adult Blood Lead | 0.671763 |
| CDC Experience Applied | 0.658154 |
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| Ascaris Infection | 0.648295 |
| Arenavirus Infection | 0.607788 |
| CDC Science | 0.610138 |
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| Amyotrophic Lateral Sclerosis | 0.639463 |
| Infection Prevention | 0.628314 |
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| A-Z Index | 0.973336 |
| Applied Epidemiology Fellowship | 0.627426 |
| Anisakis Infection | 0.619721 |
| Bacillus anthracis Infection | 0.666211 |
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| Microsoft Excel file | 0.558371 |
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| Acanthamoeba Infection | 0.628244 |
| Immune Deficiency Syndrome | 0.665665 |
| Contact CDC | 0.596521 |
| Atrial fibrillation | 0.547494 |
| Search The CDC | 0.63894 |
| page options Skip | 0.577288 |
| Ancylostoma duodenale Infection | 0.674119 |
| Form Controls TOPIC | 0.552849 |
| Blood Lead Levels | 0.545947 |
| different file formats | 0.561077 |
| AFIX Immunization Strategy | 0.56072 |
| Adenovirus Infection | 0.63696 |
| Alkhurma hemorrhagic fever | 0.639622 |
| Apple Quicktime file | 0.554366 |
| Aspergillus Infection | 0.642081 |
| Adverse Event Reporting | 0.562912 |
| Necator americanus Infection | 0.669419 |
| Molecular Detection | 0.551445 |
| Angiostrongylus Infection | 0.622315 |
| Attention Deficit/Hyperactivity Disorder | 0.65238 |
| CDC A-Z Index | 0.800111 |
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Bartonella - Symptoms |
Bartonella bacteria cause several diseases in humans. The three most common are cat scratch disease, caused by B. henselae; trench fever, caused by B. quintana; and Carrión's disease, caused by B. bacilliformis.
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| severe muscle pain | 0.861772 |
| Rash | 0.281841 |
| red-to-purple vascular lesions | 0.900646 |
| Bartonella species | 0.521596 |
| immunocompromised people | 0.520378 |
| later phase | 0.502205 |
| bleeding | 0.26134 |
| papule | 0.252288 |
| skin | 0.312118 |
| tender lymph | 0.590598 |
| nodular growths | 0.553834 |
| single bout | 0.531571 |
| distinct phases | 0.523175 |
| abdominal pain | 0.540851 |
| recurrent fever | 0.74047 |
| muscle aches | 0.558871 |
| Bone pain | 0.553586 |
| bacillary peliosis | 0.882377 |
| bouts | 0.280525 |
| unusual manifestations | 0.530338 |
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| organs | 0.249657 |
| pustule | 0.252233 |
| disease | 0.250516 |
| spleen | 0.280851 |
| liver | 0.250572 |
| severe anemia | 0.529633 |
| Low-grade fever | 0.872246 |
| subacute endocarditis | 0.531114 |
| neck | 0.254853 |
| advanced HIV infection | 0.722048 |
| Bacillary angiomatosis | 0.972634 |
| subcutaneous tissue | 0.507818 |
| inoculation site | 0.557508 |
| exposure | 0.260302 |
| encephalitis | 0.279919 |
| headache | 0.261323 |
| eye infections | 0.516733 |
| shins | 0.295451 |
| Verruga peruana | 0.483984 |
| Oroya fever | 0.697831 |
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Traumatic Brain Injury (TBI) - Health Communication |
Gateway to Health Communication - Traumatic Brain Injury (TBI) |
| Dr. Lewis | 0.808721 |
| mental status | 0.643998 |
| school event | 0.567157 |
| hospital board | 0.632868 |
| Severe TBIs | 0.585294 |
| long-term disabilities | 0.577903 |
| Traumatic Brain Injury | 0.656684 |
| falls | 0.525001 |
| proper protective gear | 0.622996 |
| low-grade headaches | 0.574438 |
| mild—a brief change | 0.650609 |
| minor injuries—a | 0.563618 |
| TBI | 0.94843 |
| major causes | 0.570594 |
| skull injury | 0.587596 |
| blow | 0.528302 |
| normal function | 0.580003 |
| family members | 0.566413 |
| motor vehicles | 0.570977 |
| age groups | 0.574394 |
| head slams | 0.569153 |
| TBI deaths | 0.776914 |
| new cases | 0.576031 |
| jolt | 0.534061 |
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| steering wheel | 0.564054 |
| extensive rehabilitation | 0.567433 |
| firearm violence | 0.568632 |
| hospital board member | 0.620539 |
| African Americans | 0.571072 |
| car crash | 0.633702 |
| sports/recreation activities | 0.577188 |
| successful surgeon | 0.563405 |
| lifelong disability | 0.575615 |
| child passenger safety | 0.627619 |
| teenage daughter | 0.565804 |
| everyday life | 0.567486 |
| forgetfulness | 0.539085 |
| breast cancer | 0.572492 |
| colleague | 0.529262 |
| appropriate safety precautions | 0.630087 |
| common symptoms | 0.568991 |
| Yes. Measures | 0.57042 |
| work place | 0.569957 |
| unintentional injury | 0.634219 |
| highest death rate | 0.631798 |
| seat belt | 0.565855 |
| mental capabilities | 0.572945 |
| medical testing | 0.567897 |
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Preventing Chronic Disease | Implications of Lessons LearnedFrom Tobacco Control for Tanning Bed Reform - CDC |
Tanning beds used according to the manufacturer’s instructions expose the user to health risks, including melanoma and other skin cancers. Applying the MPOWER model (monitor, protect, offer alternatives, warn, enforce, and raise taxes), which has been used in tobacco control, to tanning bed reform could reduce the number of people at risk of diseases associated with tanning bed use. |
| best public health | 0.530645 |
| Cancer Council Victoria | 0.582696 |
| skin cancer | 0.559245 |
| United States | 0.602566 |
| public health interventions | 0.536712 |
| tobacco consumption | 0.550072 |
| tanning bed operations | 0.90734 |
| tanning bed exposure | 0.798155 |
| Antitobacco public health | 0.529911 |
| multiple tanning sessions | 0.755963 |
| tobacco control initiatives | 0.573856 |
| young people | 0.562869 |
| bed franchise owners | 0.535129 |
| Australian Tanning Association | 0.733374 |
| bed industry | 0.59335 |
| bed advertising | 0.545224 |
| tobacco | 0.832608 |
| C. Tobacco advertising | 0.559711 |
| unsupervised tanning bed | 0.864319 |
| public health | 0.746555 |
| harmful tanning behaviors | 0.73541 |
| young compliance monitors | 0.547826 |
| -emitting tanning beds | 0.841057 |
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| bed industries | 0.612061 |
| Tanning Truth | 0.71836 |
| bed industries share | 0.570814 |
| Indoor Tanning Association | 0.834922 |
| sunless tanning products | 0.740281 |
| bed policy reform | 0.530586 |
| bed operators | 0.573521 |
| licensed tanning bed | 0.780067 |
| tobacco industry | 0.664732 |
| tobacco companies | 0.532159 |
| Tobacco advertising | 0.566128 |
| tobacco products | 0.52944 |
| bed services | 0.546126 |
| sun tanning | 0.70511 |
| youth tobacco laws | 0.576467 |
| compliance monitoring | 0.554193 |
| indoor tanning legislation | 0.719478 |
| tobacco control programmes | 0.553163 |
| tobacco control efforts | 0.564616 |
| health risks | 0.590642 |
| social norms | 0.533033 |
| fair skin | 0.533732 |
| tobacco control | 0.70232 |
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Naegleria fowleri - Diagnosis & Detection |
Education and information about the brain eating ameba Naegleria fowleri that causes encephalitis and death including frequently asked questions, biology, sources of infection, diagnosis, treatment, prevention and control, and other publications and pertinent information for the public and medical professionals. Diagnosis and detection of Naegleria fowleri. |
| Curr Opin Infect | 0.607183 |
| amebae cause | 0.461578 |
| real-time PCR | 0.564369 |
| Possible environmental sources | 0.479693 |
| da Silva AJ | 0.485539 |
| Wilhelm M. Comparison | 0.473617 |
| specimen collection guidance | 0.493878 |
| Naegleria spp. | 0.558484 |
| da Rocha-Azevedo | 0.494039 |
| Specific molecular tools | 0.492876 |
| Appl Environ Microbiol. | 0.651001 |
| Mull BJ | 0.484014 |
| Parasitol Res. | 0.52398 |
| domestic water sources | 0.49676 |
| Emergency Operations Center | 0.499141 |
| Perspect Infect Dis. | 0.584791 |
| Infect Dis. | 0.598664 |
| Visvesvara GS | 0.674418 |
| Naegleria spp | 0.546301 |
| motile amebae | 0.479883 |
| Tanowitz HB | 0.500111 |
| hot water systems | 0.488459 |
| Acanthamoeba spp. | 0.543134 |
| real-time PCR methods | 0.497704 |
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| contact lens wearers | 0.479388 |
| amebae undergo | 0.465452 |
| primary amebic meningoencephalitis | 0.617055 |
| Florida domestic water | 0.489187 |
| Hill VR | 0.477838 |
| moist sanitary areas | 0.477145 |
| naked amoebae | 0.465319 |
| amebic antigens | 0.481148 |
| specific antibody | 0.454821 |
| Marciano-Cabral F. Diagnosis | 0.57517 |
| Naegleria fowleri | 0.967047 |
| higher temperature | 0.507523 |
| Clinical Microbiology Procedures | 0.478946 |
| initial detection | 0.457653 |
| nested PCR | 0.461819 |
| pathogenic free-living amoebae | 0.63236 |
| Amebic meningoencephalitides | 0.5275 |
| specific laboratory tests | 0.503244 |
| free-living amebae | 0.513898 |
| Opin Infect Dis. | 0.596033 |
| Interdiscip Perspect Infect | 0.586018 |
| free-living amoebae | 0.645499 |
| Multiplex real-time PCR | 0.504989 |
| water systems | 0.489459 |
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Newborn Screening is Important for Your Baby | CDC Features |
Soon after birth, babies born in the United States are checked for certain medical conditions. Learn why this newborn screening is important for your baby and why you should ask for your baby’s screening results. |
| babies risk | 0.261369 |
| car seat | 0.262141 |
| daily dose | 0.234322 |
| thyroid hormone | 0.349802 |
| United States | 0.266662 |
| newborn screening results | 0.478307 |
| babies | 0.352548 |
| organ damage | 0.240562 |
| sickle cell disease | 0.344775 |
| thyroid hormone medication | 0.338852 |
| antibiotic medicine | 0.22829 |
| harmful infections | 0.231373 |
| critical congenital heart | 0.58768 |
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| special diet | 0.234106 |
| heart specialists | 0.227321 |
| new baby home | 0.388191 |
| protein-rich foods | 0.249673 |
| blood test | 0.253559 |
| brain damage | 0.520347 |
| certain medical conditions | 0.377875 |
| medical conditions | 0.37792 |
| baby | 0.768815 |
| important screening | 0.33265 |
| emergency care | 0.230258 |
| PKU | 0.219978 |
| newborn screening | 0.911756 |
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Update: Ebola Virus Disease Outbreak - West Africa, October2014 |
On October 28, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| ongoing outbreak | 0.464793 |
| Port Loko | 0.514464 |
| Guinea Interministerial Committee | 0.666592 |
| Alternate Text | 0.559639 |
| original MMWR paper | 0.498584 |
| U.S. Government Printing | 0.495301 |
| Ebola cumulative incidence | 0.61698 |
| Human Services | 0.499985 |
| Sierra Leone | 0.933182 |
| Ebola Epidemiology Team | 0.64039 |
| Special Pathogens Branch | 0.515534 |
| CDC Sierra Leone | 0.666561 |
| actual cases | 0.473832 |
| Ebola cases | 0.732165 |
| ebola virus | 0.677692 |
| MMWR website | 0.468967 |
| Situational Awareness Team | 0.503255 |
| U.S. Department | 0.500048 |
| MMWR HTML versions | 0.494746 |
| Ebola outbreak | 0.616751 |
| MMWR Early Release | 0.522505 |
| northwest districts | 0.520699 |
| Social Welfare | 0.522009 |
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| Response Team | 0.544013 |
| electronic PDF version | 0.494739 |
| case counts | 0.578776 |
| Zoonotic Infectious Diseases | 0.514655 |
| Liberia Ministry | 0.600375 |
| highest incidence rate | 0.606791 |
| World Health Organization | 0.828832 |
| up-to-date clinical guidelines | 0.499562 |
| paper copy | 0.490432 |
| cumulative number | 0.465569 |
| Public Health Preparedness | 0.512353 |
| Liberia | 0.647478 |
| highly affected West | 0.597156 |
| latest World Health | 0.602111 |
| CDC Guinea Response | 0.608264 |
| West Africa | 0.736498 |
| Sierra Leone Ministry | 0.718628 |
| original paper copy | 0.490404 |
| Freetown area | 0.512264 |
| new cases | 0.468846 |
| Ebola | 0.766757 |
| CDC Liberia Response | 0.645587 |
| West African countries | 0.675152 |
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Ebola Virus Disease Cluster in the United States - DallasCounty, Texas, 2014 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| Ebola Team | 0.618549 |
| real-time polymerase chain | 0.482558 |
| real-time PCR | 0.474592 |
| new onset diarrhea | 0.481887 |
| review infection control | 0.486852 |
| Ebola virus | 0.708427 |
| potential Ebola exposure | 0.658433 |
| MMWR Early Release | 0.489829 |
| PCR Ebola testing | 0.654299 |
| David L. Lakey | 0.491534 |
| 3Dallas County Health | 0.48422 |
| safely handling Ebola | 0.652153 |
| Ebola diagnosis | 0.608896 |
| personal protective equipment | 0.477448 |
| contact tracing | 0.482907 |
| County public health | 0.48513 |
| Michelle S. Chevalier | 0.56054 |
| direct active monitoring | 0.483236 |
| Dallas County Ebola | 0.65976 |
| Texas Department | 0.515285 |
| potentially exposed contacts | 0.578505 |
| Ebola patients | 0.836063 |
| Ebola | 0.903382 |
| Ebola virus disease | 0.684945 |
| potential exposures | 0.482139 |
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| 1Epidemic Intelligence Service | 0.472832 |
| close community contacts | 0.4956 |
| Ebola virus infection | 0.679281 |
| United States | 0.573603 |
| Dallas Ebola cluster | 0.647076 |
| local public conveyances | 0.476238 |
| assess infection control | 0.474979 |
| Ebola incubation period | 0.666235 |
| State Health Services | 0.661545 |
| new infection control | 0.479597 |
| abdominal pain | 0.477503 |
| Additional community contacts | 0.496079 |
| health care contacts | 0.502235 |
| health care workers | 0.496039 |
| infection control practices | 0.625462 |
| dallas ebola investigation | 0.728487 |
| Sibeso N. Joyner | 0.490062 |
| services transportation plan | 0.480363 |
| Sonya M. Hughes | 0.48706 |
| Dallas area hospitals | 0.477859 |
| Chronic Disease Prevention | 0.47117 |
| Ebola patient | 0.727037 |
| CDC Dallas Ebola | 0.662168 |
| Lauren M. Weil | 0.487194 |
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October 2013 ACIP Meeting -- Adult Immunization Schedule |
Introduction/Adult immunization schedule, 2014 by Dr. T Coyne-Beasley and Dr. C Bridges
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://streaming.cdc.gov/vod.php?id=08235eb710671983c85f965d7c7d109020140110101547650 |
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| Adult Immunization Schedule | 0.930854 |
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Spokesperson Portfolio - Inger K. Damon, MD, PhD (CAPT, USPHS) |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Dr. Inger Damon | 0.550866 |
| Trop Med Hyg. | 0.451668 |
| papular stomatitis virus | 0.466994 |
| Orthopoxvirus variola infection | 0.453808 |
| infectious diseases | 0.456853 |
| global vaccination campaigns | 0.456436 |
| intensive community education | 0.45081 |
| Keckler MS | 0.454799 |
| smallpox vaccines | 0.480868 |
| PLoS One. | 0.487312 |
| Lash RR | 0.455406 |
| Raccoon rabies virus | 0.469058 |
| public health approaches | 0.461645 |
| Davidson WB | 0.453725 |
| Emerg Infect Dis. | 0.504183 |
| Mapping Monkeypox Transmission | 0.485508 |
| Virol Methods. | 0.451252 |
| Olson VA | 0.536614 |
| Karem KL.Humoral Immunity | 0.519505 |
| post-exposure smallpox vaccination | 0.473672 |
| Clinical Assistant Professor | 0.457306 |
| molluscum contagiosum virus | 0.470376 |
| monkeypox virus clades | 0.513913 |
| Magna cum Laude | 0.454672 |
| prairie dog-monkeypox virus | 0.468072 |
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| Clin Infect Dis. | 0.455309 |
| CDC Ebola Response | 0.476674 |
| Salzer JS | 0.460739 |
| Dr. Damon | 0.521774 |
| smallpox vaccine development | 0.489047 |
| Emerson GL | 0.457537 |
| Ebola epidemic | 0.467339 |
| Zoonoses Public Health. | 0.453542 |
| Monkeypox virus Challenge | 0.516291 |
| Damon IK | 0.924292 |
| internal medicine | 0.458908 |
| core public health | 0.463445 |
| Townsend MB | 0.452489 |
| Carroll DS | 0.639571 |
| Internal medicine residency | 0.455682 |
| Li Y. Specific | 0.463037 |
| Karem KL | 0.744558 |
| international emergency response | 0.461185 |
| human monkeypox | 0.496115 |
| Rabies Virus Transmission | 0.470279 |
| monkeypox control | 0.47973 |
| Muyembe JJ | 0.453587 |
| monkeypox outbreak | 0.471155 |
| clinical disease presentation | 0.452964 |
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