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Announcement: Brain Injury Awareness Month - March2014 |
March is Brain Injury Awareness Month. Through scientific research, programs, and education, CDC works to prevent traumatic brain injury (TBI) from all causes and ensure that persons with a TBI receive optimal care. Whether occurring from a fall in the home or on a playground, in sports, in a car crash, or by being struck by an object or another person, a TBI from any cause can disrupt the normal functions of the brain and can range in severity from a mild concussion to a severe, life-threatening injury. |
| TBI-related hospitalization | 0.446721 |
| emergency department visits | 0.56796 |
| Human Services | 0.555232 |
| U.S. Department | 0.551279 |
| MMWR HTML versions | 0.543504 |
| motor vehicle-related TBIs | 0.647395 |
| Brain Injury Awareness | 0.60173 |
| electronic PDF version | 0.533079 |
| size-appropriate car seats | 0.550693 |
| TBI | 0.93733 |
| rehabilitation services | 0.441141 |
| Additional information | 0.438418 |
| Contact GPO | 0.455348 |
| traumatic brain injury | 0.598003 |
| optimal care | 0.460532 |
| commercial sources | 0.433917 |
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| current prices | 0.430504 |
| regular exercise program | 0.546251 |
| original paper copy | 0.538495 |
| young adults | 0.443978 |
| higher rates | 0.573521 |
| at-risk populations | 0.436343 |
| United States | 0.556806 |
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| U.S. Government Printing | 0.54549 |
| original MMWR paper | 0.539287 |
| age group | 0.441805 |
| car crash | 0.452365 |
| health-care delivery systems | 0.558799 |
| motor vehicle–related TBIs | 0.650804 |
| MMWR readers | 0.439218 |
| character translation | 0.428011 |
| primary prevention strategies | 0.556632 |
| normal functions | 0.451903 |
| fall-related TBIs | 0.537115 |
| life-threatening injury | 0.459549 |
| public health prevention | 0.561713 |
| format errors | 0.427328 |
| scientific research | 0.459239 |
| typeset documents | 0.433911 |
| trade names | 0.433998 |
| official text | 0.42662 |
| highest rates | 0.572548 |
| medical care | 0.439137 |
| non-CDC sites | 0.432448 |
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| older adults | 0.443255 |
| TBI receive | 0.786006 |
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Centers for Disease Control and Prevention |
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Diseases & Conditions A-Z Index - C |
CDC Diseases and Conditions A-Z Index |
| Error processing SSI | 0.819607 |
| Cold Medicines | 0.590764 |
| Clostridium tetani Infection | 0.825457 |
| Cryptosporidium Infection | 0.757916 |
| processing SSI file | 0.825832 |
| Capillaria Infection | 0.786111 |
| Clostridium botulinum Infection | 0.823123 |
| Corynebacterium diphtheriae Infection | 0.782636 |
| Search Form Controls | 0.691467 |
| (Kidney Disease) | 0.615031 |
| [Oropharyngeal Candidiasis] | 0.592082 |
| Chronic Fatigue Syndrome | 0.667607 |
| Clostridium difficile Infection | 0.973949 |
| Clonorchis Infection | 0.771531 |
| C. gattii cryptococcosis | 0.719324 |
| Chronic Disease Indicators | 0.75165 |
| Nairovirus Infection | 0.721145 |
| A-Z Index | 0.851848 |
| Cat Scratch Disease | 0.604344 |
| Conditions A-Z Index | 0.7325 |
| Obstructive Pulmonary Disease | 0.603752 |
| Chlamydia trachomatis Disease | 0.639367 |
| C. neoformans | 0.607796 |
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| (Colon) Cancer | 0.620575 |
| Candida Infection | 0.789713 |
| Campylobacter Infection | 0.796961 |
| CDC Topics | 0.603859 |
| Chronic Kidney Disease | 0.712679 |
| (Cytomegalovirus Infection) | 0.807414 |
| Trypanosoma cruzi Infection | 0.805899 |
| Crimean-Congo hemorrhagic fever | 0.73492 |
| Vibrio cholerae Infection | 0.798881 |
| Cyclospora Infection | 0.759917 |
| Chronic Disease Prevention | 0.655328 |
| Chronic Wasting Disease | 0.655272 |
| Congenital Heart Defects | 0.619192 |
| Colon) Cancer | 0.604381 |
| Chapare Hemorrhagic Fever | 0.697069 |
| (Chikungunya Fever) | 0.602952 |
| Cancer Health Disparities | 0.593609 |
| Cystoisospora Infection | 0.749539 |
| CDC A-Z | 0.619773 |
| Classic Creutzfeldt-Jakob Disease | 0.849609 |
| pneumoniae Infection | 0.74494 |
| Colorectal Cancer Control | 0.602481 |
| [Varicella Disease] | 0.60722 |
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Hydroquinone - NIOSH Pocket Guide to Chemical Hazards |
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| 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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Methyl (n-amyl) ketone - NIOSH Pocket Guide to Chemical Hazards |
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| 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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Veterans Health Activities - Gulf War Studies - Web Based Central Library Medsearch |
CDC's National Center for Environmental Health (NCEH) has taken the lead for HHS in addressing the health concerns of veterans of the Vietnam War and the Gulf War, and NCEH is working with the Departments of Defense and Veterans Affairs to protect the health of our future military forces. |
| central location | 0.402139 |
| Medsearch | 0.365988 |
| latest research | 0.392063 |
| list Skip | 0.686306 |
| new web site | 0.626423 |
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| illnesses | 0.236615 |
| page options Skip | 0.973419 |
| online medical library | 0.657263 |
| navigation Skip | 0.683943 |
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| nontechnical language | 0.42575 |
| U.S. Department | 0.416215 |
| War-related medical research | 0.708981 |
| Gulf War veterans | 0.808113 |
| CDC conference | 0.436052 |
| Veterans Affairs | 0.556748 |
| Health Support Directorate | 0.714069 |
| centralized Internet site | 0.696801 |
| Internet site developers | 0.632976 |
| government agencies | 0.413128 |
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Preventing Chronic Disease | Missed Opportunities for Providing Low-Fat Dietary Advice to People With Diabetes - CDC |
Because cardiovascular disease is closely linked to diabetes, national guidelines recommend low-fat dietary advice for patients who have cardiovascular disease or are at risk for diabetes. |
| Medical Expenditure Panel | 0.315047 |
| diabetes management goals | 0.303425 |
| dietary messages | 0.254658 |
| in-depth dietary education | 0.264614 |
| health insurance | 0.257693 |
| diabetes mellitus | 0.289245 |
| low-fat dairy products | 0.274138 |
| cardiovascular risk factors | 0.26399 |
| Brief dietary counseling | 0.269403 |
| dietary education | 0.267487 |
| complex dietary recommendations | 0.263355 |
| low-fat dietary counseling | 0.319793 |
| diabetes type | 0.30749 |
| clinician dietary advice | 0.2829 |
| dietary fat | 0.264132 |
| smoking status | 0.252112 |
| total number | 0.267718 |
| single risk factors | 0.295194 |
| ADA-certified diabetes education | 0.303274 |
| vs low-fat diets | 0.270822 |
| ADA-designated risk factors | 0.301732 |
| Expenditure Panel Survey | 0.315073 |
| cardiometabolic multimorbidity | 0.256356 |
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| risk factors | 0.758146 |
| low-fat dietary advice | 0.905269 |
| Diabetes Care | 0.30721 |
| disease risk factors | 0.265715 |
| unadjusted advice rates | 0.255102 |
| health | 0.258731 |
| Dietary intake | 0.255563 |
| dietary behavior | 0.273899 |
| provider-delivered dietary advice | 0.285208 |
| guideline-adherent dietary advice | 0.285033 |
| chronic conditions | 0.261177 |
| diabetes diagnosis | 0.30981 |
| respondents | 0.31573 |
| clinical comorbidity index | 0.303469 |
| MEPS respondents | 0.264733 |
| et al | 0.2855 |
| primary care | 0.275748 |
| formal dietary counseling | 0.266196 |
| diabetes risk factors | 0.413795 |
| American Diabetes Association | 0.382405 |
| coronary heart disease | 0.260095 |
| federal poverty index | 0.300522 |
| diabetes | 0.567195 |
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Asthma Control for Preschoolers...CDC Helps Makes it as Easy as A B C! |
Asthma Control for Preschoolers…CDC Helps Makes it as Easy as A B C! |
| ABC intervention | 0.470704 |
| local CDC-funded programs | 0.445458 |
| new ideas | 0.371166 |
| daycare workers | 0.424435 |
| Daycare absences | 0.422018 |
| preschool children | 0.461772 |
| New York City | 0.440239 |
| Disease Control | 0.397488 |
| children | 0.4727 |
| room air | 0.373308 |
| young children | 0.391217 |
| unneeded rugs | 0.376966 |
| local programs | 0.391416 |
| daycare center staff | 0.490116 |
| asthma attacks | 0.745555 |
| ABC program participants | 0.44764 |
| personal plan | 0.374668 |
| answer sessions | 0.371625 |
| American Cities | 0.488488 |
| asthma | 0.925004 |
| asthma control | 0.855564 |
| Controlling Asthma | 0.571994 |
| hospital stays | 0.458069 |
| Urban Health | 0.371004 |
| better interactions | 0.374126 |
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| Educate Families | 0.374043 |
| positive changes | 0.444076 |
| asthma-related emergency department | 0.453634 |
| overnight hospital stays | 0.456375 |
| emergency room visits | 0.426737 |
| parents | 0.372666 |
| wide range | 0.370218 |
| healthcare providers | 0.436964 |
| daycare centers | 0.527295 |
| age group | 0.384407 |
| air conditioner filters | 0.435104 |
| American Cities Project | 0.432354 |
| high asthma burden | 0.633738 |
| best medicine | 0.37362 |
| Asthma Basics | 0.590821 |
| NACP success stories | 0.427368 |
| asthma action plans | 0.636056 |
| nighttime symptoms | 0.372982 |
| greater asthma control | 0.663091 |
| Positive Outcomes | 0.37756 |
| asthma management programs | 0.6713 |
| Reduce Asthma Risk | 0.650925 |
| Asthma Control Program | 0.707344 |
| unique intervention | 0.397823 |
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Oportunidad de colaboración: Un modelo conceptual de éxitos en el control del tabaco y la prevención del cáncer |
CDC - Wide Page example description goes here |
| Global Health Partnership | 0.917375 |
| extensa discusión | 0.667183 |
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Zika Virus Infection Among U.S. Pregnant Travelers - August2015-February 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| CDC | 0.333925 |
| early pregnancy loss | 0.236893 |
| human disease cases | 0.231224 |
| Zika virus | 0.983428 |
| recent Zika virus | 0.377493 |
| possible Zika virus | 0.308779 |
| pregnant women | 0.616879 |
| pregnant woman | 0.278331 |
| CDC website | 0.241555 |
| Zoonotic Infectious Diseases | 0.257612 |
| CDC interim guidelines | 0.247892 |
| health care providers | 0.345756 |
| National Center | 0.255502 |
| Zika virus exposure | 0.325165 |
| U.S. health care | 0.252582 |
| elective pregnancy terminations | 0.236865 |
| ongoing Zika virus | 0.317713 |
| Zika virus disease | 0.457846 |
| Zika-affected area | 0.238215 |
| various clinical outcomes | 0.232841 |
| clinical illness | 0.253874 |
| symptoms | 0.23196 |
| public health practice | 0.236864 |
| Zika virus transmission | 0.347505 |
| laboratory-confirmed Zika virus | 0.310068 |
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| Public Health Information | 0.232914 |
| spontaneous pregnancy losses | 0.235422 |
| trimester pregnancy loss | 0.235127 |
| U.S. pregnant women | 0.344877 |
| adverse pregnancy outcomes | 0.287711 |
| U.S. pregnant travelers | 0.26545 |
| fever | 0.231393 |
| Zika virus infection | 0.825861 |
| Zika virus immunoglobulin | 0.30582 |
| state health department | 0.233488 |
| apparently healthy infants | 0.252883 |
| CDC recommendations | 0.235617 |
| gestation | 0.244878 |
| public health | 0.256604 |
| serologic testing | 0.253283 |
| confirmed Zika virus | 0.44371 |
| CDC guidelines | 0.243206 |
| newly established CDC | 0.254078 |
| early pregnancy losses | 0.308939 |
| pregnancy losses | 0.311139 |
| interim guidelines | 0.257831 |
| Zika virus testing | 0.34151 |
| ongoing local transmission | 0.307362 |
| active transmission | 0.243413 |
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Climate Change and Public Health - Health Effects - Diseases Carried by Vectors |
Climate Change and Public Health - Health Effects - Diseases Carried by Vectors |
| year-to-year climate variability | 0.916452 |
| domestically acquiring diseases | 0.846643 |
| Enhanced vector surveillance | 0.825615 |
| cultural factors | 0.76982 |
| Vector-borne pathogens | 0.85852 |
| geographical distribution | 0.678256 |
| long-term studies | 0.66817 |
| human behavior | 0.815317 |
| shifts | 0.59192 |
| pest control | 0.695699 |
| expansions | 0.537377 |
| numerous vector-borne diseases | 0.985495 |
| vector range | 0.695099 |
| host immunity | 0.692803 |
| fleas | 0.54436 |
| mosquitoes | 0.544473 |
| vector populations | 0.73089 |
| human responses | 0.715657 |
| vector-human contact | 0.664727 |
| human modification | 0.675683 |
| Climate change effects | 0.880985 |
| Infectious disease transmission | 0.818055 |
| vector-control efforts | 0.663157 |
| vectors | 0.587772 |
| dengue fever | 0.928966 |
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| Rift Valley fever | 0.893835 |
| tularemia | 0.543925 |
| vector-host interaction | 0.678151 |
| North Americans | 0.847509 |
| vector/pathogen adaptation | 0.686394 |
| United States | 0.677803 |
| Chagas disease | 0.712039 |
| seasonal distribution | 0.709076 |
| geographic ranges | 0.68936 |
| human disease tracking | 0.840631 |
| Rocky Mountain | 0.674497 |
| weather variables | 0.671908 |
| health care | 0.700346 |
| subtropical areas | 0.683928 |
| human-insect contact | 0.668247 |
| ticks | 0.542375 |
| pathogen evolution | 0.710919 |
| small-scale differences | 0.668708 |
| Nile virus disease | 0.847998 |
| chikungunya | 0.554891 |
| lifestyle factors | 0.721806 |
| disease incidence | 0.724761 |
| animal hosts | 0.665507 |
| vector-borne pathogen occurrence | 0.958984 |
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