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Centers for Disease Control and Prevention |
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About Winter Weather and Extreme Cold|Winter Weather |
Taking preventive action is your best defense against having to deal with extreme cold-weather conditions. By preparing your home and car in advance for winter emergencies, and by observing safety precautions during times of extremely cold weather, you can reduce the risk of weather-related health problems. |
| heat | 0.441039 |
| life-threatening health problems | 0.737888 |
| Extreme cold | 0.621263 |
| Infants | 0.44109 |
| cold temperatures | 0.970446 |
| car crashes | 0.601506 |
| body | 0.440956 |
| frostbite | 0.535695 |
| number | 0.437204 |
| hazards | 0.441473 |
| Winter storms | 0.607001 |
| power failures | 0.614963 |
| indoors | 0.51818 |
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| cold-weather health emergency | 0.76229 |
| cold weather | 0.568908 |
| icy roads | 0.630641 |
| Winter Weather FAQ | 0.723396 |
| Exposure | 0.438186 |
| home | 0.468531 |
| hypothermia | 0.529073 |
| older adults | 0.591075 |
| risk | 0.468204 |
| time | 0.437971 |
| cold-related health problems | 0.730194 |
| region | 0.440728 |
| communication services | 0.603732 |
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Centers for Disease Control and Prevention |
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Highlights: EID, Vol. 17, No. 8 (August 2011) |
EID News Synopsis: August 2011 |
| international travel—are | 0.536182 |
| South America | 0.530481 |
| rodent-borne arenaviruses | 0.530724 |
| New strains | 0.537813 |
| North American | 0.655301 |
| Disease Control | 0.531669 |
| Texas Medical Branch | 0.633552 |
| severe human illness | 0.641686 |
| current strains | 0.538046 |
| true extent | 0.532851 |
| North American arenavirus | 0.638666 |
| local population | 0.535227 |
| diagnostic tests | 0.615712 |
| dengue virus | 0.659196 |
| CDC Press Office | 0.887311 |
| diagnostic facilities | 0.536472 |
| Pediatric Dengue Vaccine | 0.771653 |
| foodborne gastrointestinal illness | 0.624427 |
| u.s. department | 0.615698 |
| exact cause | 0.531515 |
| International Vaccine Institute | 0.653699 |
| affiliated institutions | 0.522177 |
| local cases | 0.536612 |
| similar illness | 0.533281 |
| Infectious Diseases | 0.681722 |
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| clinical settings | 0.519776 |
| physician awareness | 0.534355 |
| norovirus outbreaks | 0.63961 |
| United States | 0.920534 |
| nervous system symptoms | 0.527288 |
| unknown cause | 0.533239 |
| acute gastroenteritis—sudden onset | 0.646628 |
| North American virus | 0.629773 |
| Contact Aron J. | 0.633696 |
| rapid population growth | 0.645291 |
| dengue surveillance | 0.653365 |
| right mosquitoes | 0.539451 |
| common cause | 0.528686 |
| CDC scientists | 0.629864 |
| Contact Everardo Vega | 0.621951 |
| certain parts | 0.532593 |
| human services | 0.611868 |
| trade names | 0.521731 |
| medical care | 0.52281 |
| public health problem | 0.665676 |
| Public Health Service | 0.63644 |
| Charles F. Fulhorst | 0.634934 |
| Ananda Amarasinghe | 0.54652 |
| Infectious Diseases journal | 0.65825 |
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Centers for Disease Control and Prevention |
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FluVaxView: Health Care Personnel Flu Vaccination 2012 |
Findings from the Internet Panel Survey of health care personnel flu vaccination in the United States for the 2010-11, 2011-12, and 2012-13 flu seasons CDC |
| vaccination campaigns | 0.480181 |
| early flu season | 0.435555 |
| Page | 0.362425 |
| Clinical care groups | 0.357577 |
| vaccination campaigns programs | 0.460806 |
| common main reason | 0.400275 |
| Internet panel sample | 0.361016 |
| internet panel survey | 0.402869 |
| vaccination coverage | 0.950864 |
| main reason | 0.479967 |
| occupation vaccination coverage | 0.488972 |
| vaccination coverage levels | 0.479889 |
| administrative/non-clinical support staff | 0.407005 |
| health care personnel | 0.409441 |
| internet panel surveys | 0.384345 |
| HCP vaccination coverage | 0.653167 |
| follow-up survey | 0.35836 |
| HCP | 0.729066 |
| current vaccination efforts | 0.458383 |
| CDC Flu | 0.392811 |
| unvaccinated HCP | 0.497422 |
| national flu vaccination | 0.528894 |
| flu vaccination coverage | 0.938983 |
| vaccination coverage estimates | 0.497475 |
| Influenza vaccination coverage | 0.472625 |
|
| previous flu seasons | 0.410422 |
| internet panel | 0.524879 |
| nurse practitioners | 0.386592 |
| HCP overall working | 0.480121 |
| U.S. HCP | 0.450161 |
| end-of-season flu vaccination | 0.528605 |
| Internet survey panels | 0.35954 |
| annual flu vaccination | 0.548722 |
| work settings | 0.39758 |
| National Influenza Vaccination | 0.489814 |
| current flu season | 0.421539 |
| physician offices/ambulatory care | 0.393352 |
| long-term care facilities | 0.523346 |
| flu season HCP | 0.571713 |
| high vaccination levels | 0.463489 |
| overall vaccination coverage | 0.489544 |
| HCP groups | 0.45451 |
| influenza vaccination | 0.511046 |
| vaccination results | 0.429777 |
| vaccination history | 0.435769 |
| 2012-13 flu season | 0.419567 |
| offices/ambulatory care settings | 0.395418 |
| volunteer HCP | 0.44543 |
| physician assistants | 0.386558 |
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Centers for Disease Control and Prevention |
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Health Alert Network | HAN Archive - 00351 |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| H3N2v virus infection | 0.789689 |
| health care provider | 0.399806 |
| public health practitioners | 0.307903 |
| influenza A viruses | 0.448005 |
| H1N1 pandemic virus | 0.361782 |
| Health Alert Network | 0.476361 |
| influenza illness onset | 0.486105 |
| state health departments | 0.311154 |
| influenza A virus | 0.473433 |
| Variant Virus Infection | 0.359728 |
| agricultural fair season | 0.434262 |
| seasonal influenza | 0.426705 |
| Network Health Advisory | 0.33624 |
| public health officials | 0.309726 |
| influenza surveillance | 0.488269 |
| state public health | 0.558256 |
| Enhanced Influenza Surveillance | 0.482893 |
| influenza | 0.985475 |
| influenza diagnostic test | 0.487623 |
| CDC Health Alert | 0.360193 |
| recent swine contact | 0.327348 |
| United States | 0.301723 |
| novel influenza | 0.519202 |
| H3N2v cases | 0.327424 |
|
| H3N2 variant virus | 0.393525 |
| local health department | 0.304795 |
| Health Care Settings | 0.286463 |
| influenza complications2 | 0.486251 |
| close contact | 0.350666 |
| public health professionals | 0.307001 |
| variant virus | 0.434699 |
| local health departments | 0.425622 |
| H3N2v case definitions | 0.498469 |
| Variant Virus Cases | 0.349876 |
| agricultural fairs | 0.298952 |
| cases | 0.374703 |
| H3N2v viruses | 0.303046 |
| Interim Guidance | 0.350056 |
| influenza complications | 0.395354 |
| antiviral treatment | 0.340558 |
| limited person-to-person spread | 0.294512 |
| influenza viruses | 0.626582 |
| Suspected Influenza | 0.406566 |
| H3N2v-related HAN Health | 0.335822 |
| rapid influenza | 0.452118 |
| public health laboratory | 0.449577 |
| influenza diagnostic tests | 0.489097 |
| H3N2v virus infections | 0.381185 |
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Centers for Disease Control and Prevention |
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HAN Archive - 00338 - Multistate Outbreak of Fungal Infections |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| Clinicians Consultation Network | 0.488779 |
| CDC | 0.859249 |
| MRI testing | 0.338416 |
| symptomatic area | 0.588549 |
| epidural injection | 0.322029 |
| spinal injection | 0.355189 |
| contaminated MPA | 0.382628 |
| persistent baseline pain | 0.312288 |
| Health Alert Network | 0.536145 |
| Contaminated Steroid Products | 0.294003 |
| fungal infection | 0.47701 |
| new information | 0.331668 |
| state health departments | 0.289891 |
| assertive clinical evaluation | 0.335649 |
| newly reported cases | 0.283784 |
| injection site | 0.444359 |
| patients | 0.972558 |
| paraspinal infections | 0.32061 |
| CDC HAN-00335-2012-11-20-ADV-N | 0.357291 |
| epidural abscess | 0.799402 |
| implicated MPA | 0.427838 |
| methylprednisolone acetate | 0.327226 |
| New England Compounding | 0.346804 |
| paraspinal injections | 0.332724 |
|
| state public health | 0.31796 |
| multistate outbreak | 0.346032 |
| CDC Health Alert | 0.497805 |
| infection | 0.600834 |
| baseline symptoms | 0.428458 |
| paraspinal infection | 0.556047 |
| MRI | 0.408554 |
| recent Magnetic Resonance | 0.312321 |
| epidural steroid injections | 0.345082 |
| abnormal MRI findings | 0.334791 |
| enhances health decisions | 0.288307 |
| critical health issues | 0.294089 |
| state health department | 0.309592 |
| paraspinal injection | 0.77023 |
| health departments | 0.303709 |
| previous evidence | 0.306513 |
| up-to-date information online | 0.307005 |
| ongoing multistate outbreak | 0.328103 |
| paraspinal localized infection | 0.439178 |
| new preliminary data | 0.333894 |
| Parameningeal Infections Associated | 0.292651 |
| NECC | 0.42967 |
| vertebral osteomyelitis | 0.463983 |
| baseline chronic pain | 0.488264 |
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Centers for Disease Control and Prevention |
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CDC Telebriefing: New Vital Signs Report - How can increased HIV care and treatment prevent new infections and save lives? |
CDC is releasing the first national estimates of doctor visits and healthcare costs associated with keratitis |
| Error processing SSI | 0.676856 |
| media availability | 0.410861 |
| STD | 0.248105 |
| Non-Media | 0.274794 |
| M.D. | 0.272678 |
| historical purposes | 0.453302 |
| navigation Skip | 0.608901 |
| viral suppression | 0.458819 |
| HEALTH | 0.233681 |
| Important Instructions | 0.422028 |
| estimates | 0.243237 |
| National Center | 0.424861 |
| list Skip | 0.614685 |
| TB Prevention | 0.434971 |
| CDC Media | 0.544755 |
| lives | 0.241467 |
| Eugene McCray | 0.44395 |
| CDC Director Tom | 0.750516 |
| page options Skip | 0.824171 |
| Americans | 0.234536 |
| touchtone phone | 0.433758 |
| Viral Hepatitis | 0.449699 |
| Noon EST | 0.436524 |
| vital signs report | 0.965027 |
| HUMAN SERVICES | 0.407247 |
|
| media briefing | 0.475045 |
| INTERNATIONAL | 0.237258 |
| www.cdc.gov/media | 0.233928 |
| new infections | 0.459217 |
| treatment | 0.238385 |
| proportion | 0.25469 |
| new vital signs | 0.965384 |
| HIV. The report | 0.432488 |
| transcript | 0.275833 |
| file | 0.241382 |
| CDC Telebriefing | 0.608335 |
| U.S. DEPARTMENT | 0.40772 |
| PASSCODE | 0.26945 |
| HIV diagnosis | 0.471353 |
| M.P.H | 0.348808 |
| Division | 0.235827 |
| website | 0.241859 |
| question | 0.336485 |
| control | 0.237439 |
| people | 0.237567 |
| HIV/AIDS Prevention | 0.432628 |
| HIV care | 0.495293 |
| Mermin | 0.274393 |
| Frieden | 0.266646 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Importance of Nutrition VisitsAfter Gastric Bypass Surgery for American Veterans, San Francisco,2004-2010 - CDC |
Nutrition counseling is important for veterans undergoing gastric bypass surgery. The aim of this study was to explore the relationship between the number of nutrition visits a patient attended and change in body mass index (BMI) after gastric bypass surgery for the veteran population. |
| Roux-en-Y gastric bypass | 0.743616 |
| low weight loss | 0.466483 |
| AMA PRA Category | 0.465273 |
| bariatric procedures | 0.462409 |
| Administration Medical Center | 0.555576 |
| relevant financial relationships | 0.493026 |
| gastric bypass surgery | 0.957058 |
| weight loss surgery | 0.503617 |
| nutritional follow-up visits | 0.466039 |
| AMA PRA | 0.473516 |
| bariatric surgery patient | 0.493721 |
| greater weight loss | 0.467131 |
| postsurgery nutrition visits | 0.534792 |
| Affairs Medical Center | 0.49692 |
| bariatric surgery patients | 0.543398 |
| B. Bariatric surgery | 0.488708 |
| Obes Surg | 0.546132 |
| health care | 0.487787 |
| San Francisco Veterans | 0.622886 |
| postsurgery weight loss | 0.47716 |
| bariatric surgery | 0.801818 |
| total weight loss | 0.465934 |
| body mass index | 0.539796 |
| post-bariatric surgery patient | 0.466044 |
|
| weight loss | 0.911475 |
| nutrition visits | 0.717579 |
| Aung Zaw Win | 0.500869 |
| weight loss goals | 0.494391 |
| gastric banding surgery | 0.478927 |
| BMI change | 0.535091 |
| Francisco Veterans Administration | 0.563098 |
| San Francisco | 0.656201 |
| Veterans Administration Medical | 0.466679 |
| postoperative nutrition visits | 0.483354 |
| bypass surgery patients | 0.499971 |
| multidisciplinary bariatric team | 0.464227 |
| Regular nutrition visits | 0.471896 |
| postoperative weight loss | 0.491671 |
| bariatric surgery team | 0.499182 |
| et al | 0.557061 |
| Veterans Affairs | 0.510575 |
| Francisco Veterans Affairs | 0.50829 |
| CrossRef | 0.479703 |
| maximum weight loss | 0.469084 |
| durable weight loss | 0.469814 |
| retrospective study | 0.467728 |
| postsurgery BMI change | 0.467373 |
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Centers for Disease Control and Prevention |
Video |
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Influenza Round Table: Warning Signs |
During a severe flu outbreak including the new H1N1 flu, many people could be sick at the same time. There also may be more hospital stays and deaths than during a regular flu season. Some of us may become anxious about whether we have this new illness and whether we need medical help. Find out the warning signs of the flu.
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/cdctv/ |
| Influenza Round Table | 0.961267 |
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Centers for Disease Control and Prevention |
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Get Smart About Antibiotics | Adult Treatment Recommendations |
Antibiotic prescribing guidelines for adults in outpatient settings are used to ensure appropriate treatment of common illnesses and improve patient outcomes.
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Centers for Disease Control and Prevention |
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Global Sexual Violence | CDC Features |
Prevent global sexual violence. |
| CDC | 0.356155 |
| Mortality Weekly Report | 0.353194 |
| Cambodia | 0.237914 |
| mental health | 0.285186 |
| drug addiction | 0.286468 |
| Children Survey | 0.292792 |
| study details | 0.284488 |
| VACS website | 0.315534 |
| necessary next step | 0.285533 |
| social services | 0.284525 |
| host countries | 0.381742 |
| poor social relations | 0.359121 |
| global public-private partnership | 0.37669 |
| middle-income countries | 0.318442 |
| Children Surveys | 0.305525 |
| emotional violence | 0.44501 |
| males | 0.262433 |
| Violence Prevention | 0.421536 |
| lifetime childhood | 0.297622 |
| UNICEF support | 0.2919 |
| VACS data | 0.319893 |
| childhood sexual violence | 0.817032 |
| prevention strategies | 0.379373 |
| shadows | 0.232751 |
|
| disease prevention strategies | 0.36219 |
| research ofthe programs | 0.35482 |
| global sexual violence | 0.577542 |
| United Nations Children | 0.385741 |
| sexually transmitted infections | 0.36382 |
| Country-specific prevention | 0.291617 |
| heart disease | 0.287787 |
| victim | 0.235113 |
| low self-esteem | 0.287552 |
| important component | 0.290717 |
| sexual violence | 0.974015 |
| legal/security aid | 0.291454 |
| females | 0.281574 |
| response programs | 0.286413 |
| lowest rates | 0.293394 |
| highest rates | 0.289937 |
| adverse health consequences | 0.358839 |
| TfG | 0.259592 |
| Recent data | 0.299957 |
| evidence-based programs | 0.284887 |
| Swaziland | 0.244387 |
| Zimbabwe | 0.237591 |
| information | 0.23201 |
| justice systems | 0.286268 |
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