| 5033 |
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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| 6258 |
Centers for Disease Control and Prevention |
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Information for Families - FASD |
FASDs are 100% preventable if a woman does not drink alcohol during pregnancy. There is no known safe amount of alcohol to drink while pregnant. There is also no safe time during pregnancy to drink and no safe kind of alcohol. |
| education therapy | 0.396354 |
| alternative approaches | 0.393768 |
| health insurance | 0.384659 |
| section | 0.317061 |
| protective factors | 0.390589 |
| tips | 0.328567 |
| National Organization | 0.386224 |
| support networks | 0.385289 |
| interactive tools | 0.388689 |
| daily living | 0.446834 |
| treatment services | 0.385912 |
| order brochures | 0.390537 |
| pregnancy | 0.341096 |
| learns | 0.318651 |
| diagnosis | 0.3323 |
| Disorders A resource | 0.387817 |
| parent training | 0.393643 |
| special friend | 0.39115 |
| various ages | 0.385903 |
| symptoms | 0.316816 |
| developmental problem | 0.386917 |
| fetal alcohol spectrum | 0.927122 |
| mother-to-be drinks alcohol | 0.565753 |
| Learn basic information | 0.49158 |
| parents | 0.324252 |
|
| FASD Center | 0.411275 |
| Substance Abuse | 0.385395 |
| middle school children | 0.561574 |
| drinking alcohol | 0.471803 |
| teachers | 0.324237 |
| fetal alcohol syndrome | 0.740762 |
| various treatment options | 0.477984 |
| FASDs | 0.418167 |
| Reach | 0.325069 |
| website | 0.317047 |
| early intervention | 0.395916 |
| strategies | 0.32449 |
| miscarriage | 0.321343 |
| referral sources | 0.382904 |
| basic introduction | 0.38331 |
| families | 0.330494 |
| healthy baby | 0.388483 |
| Facts | 0.316864 |
| alcohol spectrum disorders | 0.872936 |
| Living Find characteristics | 0.386085 |
| print | 0.329361 |
| Mental Health Services | 0.458442 |
| treatment options | 0.490087 |
| lifelong disorders | 0.401303 |
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| 6785 |
Centers for Disease Control and Prevention |
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Preventing Clostridium difficile Infections |
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. |
| health-care exposures | 0.656005 |
| hospitals | 0.532089 |
| excess health-care costs | 0.516919 |
| CDI prevention programs | 0.597048 |
| stool specimen collection | 0.540156 |
| difficile Infection module | 0.491045 |
| CDI discharge | 0.476474 |
| home–onset CDI cases | 0.514651 |
| hospital-onset CDI | 0.791854 |
| various health-care settings | 0.477577 |
| hospital-onset cdis | 0.53283 |
| nucleic acid amplification | 0.5256 |
| nursing home-onset CDI | 0.487164 |
| CDI prevention initiatives | 0.509157 |
| nonhospital health-care exposures | 0.498785 |
| positive stool specimen | 0.710468 |
| hospital health-care settings | 0.485649 |
| C. difficile tests | 0.503052 |
| CDI cases | 0.584008 |
| antecedent health-care exposures | 0.498865 |
| hospital-onset CDI rates | 0.617464 |
| hospital onset CDI | 0.512697 |
| Clostridium difficile infections | 0.628236 |
| hospital-onset CDI cases | 0.536799 |
| United States | 0.48527 |
|
| hospital-onset CDI rate | 0.521275 |
| Emerging Infections Program | 0.8148 |
| higher hospital-onset CDI | 0.571639 |
| C. difficile transmission | 0.511591 |
| primary CDI diagnosis | 0.509682 |
| clostridium difficile infection | 0.947529 |
| nursing home–onset CDI | 0.642102 |
| C. difficile | 0.615574 |
| LabID-CDI events | 0.521844 |
| National Healthcare Safety | 0.580634 |
| health-care settings | 0.611439 |
| C. difficile spores | 0.484573 |
| public health | 0.487278 |
| New York | 0.566221 |
| C. difficile test | 0.535664 |
| Community-onset CDI cases | 0.564683 |
| previous health-care exposures | 0.529412 |
| antibiotic stewardship | 0.519511 |
| C. difficile contamination | 0.486792 |
| CDIs | 0.590573 |
| concurrent health-care exposures | 0.522518 |
| Control Hosp Epidemiol | 0.475034 |
| positive C. difficile | 0.510028 |
| acid amplification tests | 0.474328 |
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| 7749 |
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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| 7917 |
Centers for Disease Control and Prevention |
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Global Health - Nigeria - Health Systems Strengthening |
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| endorsement | 0.319589 |
| Rural Development | 0.400443 |
| inception | 0.318364 |
| U.S. CDC | 0.414166 |
| Laboratory Training Program | 0.631709 |
| Epidemiology Laboratory Training | 0.678279 |
| laboratory science | 0.398073 |
| fact sheet | 0.388626 |
| Disease Control | 0.38611 |
| public health systems | 0.623268 |
| Global AIDS Coordinator | 0.47121 |
| well-trained health professionals | 0.50568 |
| U.S. Office | 0.392121 |
| multi-state outbreaks | 0.420434 |
| public health activities | 0.60069 |
| human resources | 0.392056 |
| Nigeria Federal Ministry | 0.920221 |
| CDC’s Division | 0.420116 |
| lead poisoning | 0.391095 |
| Health Web site | 0.484786 |
| state level | 0.399981 |
| Professor Abdulsalami Nasidi | 0.452889 |
| technical positions | 0.471398 |
| Program Web site | 0.470887 |
| FMOH | 0.329563 |
|
| N-FELTP trains | 0.403699 |
| Nigeria Field Epidemiology | 0.822172 |
| public health workforce | 0.537837 |
| disease outbreaks | 0.415663 |
| veterinary epidemiology residents | 0.538715 |
| NCDC | 0.432045 |
| HHS | 0.32126 |
| intervention activities | 0.387331 |
| Zamfara State | 0.389928 |
| leadership | 0.328138 |
| Field Epidemiology Laboratory | 0.673605 |
| cadre | 0.322248 |
| cholera | 0.319465 |
| public health | 0.833601 |
| PEPFAR | 0.316422 |
| health responses | 0.406338 |
| OON | 0.323565 |
| Lassa fever | 0.402169 |
| non-federal site | 0.398128 |
| Nigeria Centre | 0.52229 |
| Workforce Development Activities | 0.474084 |
| information | 0.337917 |
| public health laboratory | 0.529948 |
| polio eradication efforts | 0.468629 |
|
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| 9079 |
Centers for Disease Control and Prevention |
Html |
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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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| 10309 |
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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| 13180 |
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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CLICK HERE |
| 13339 |
Centers for Disease Control and Prevention |
Html |
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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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| 13784 |
Centers for Disease Control and Prevention |
Html |
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What is Gestational Diabetes? |
This page provides information on gestational diabetes. |
| low blood sugar | 0.473396 |
| pregnancies | 0.410082 |
| medical history | 0.441754 |
| large baby | 0.436546 |
| body | 0.475629 |
| type | 0.462513 |
| lowers | 0.408871 |
| body’s cells | 0.437136 |
| pregnant women | 0.439448 |
| healthy eating plan | 0.467017 |
| pancreas | 0.409685 |
| healthy food | 0.441405 |
| late pregnancy | 0.440474 |
| energy | 0.409493 |
| risk factors | 0.437656 |
| need | 0.422318 |
| pregnancy | 0.531927 |
| healthy range | 0.441529 |
| prenatal appointments | 0.436935 |
| symptoms | 0.408935 |
| condition | 0.408936 |
| regular physical activity | 0.531341 |
| C-section | 0.409461 |
| right times | 0.435442 |
| women | 0.450511 |
|
| United States | 0.446634 |
| hormones | 0.40895 |
| weight gain | 0.437956 |
| changes | 0.417373 |
| healthy body weight | 0.469739 |
| hormone | 0.409143 |
| right amounts | 0.435458 |
| gestational diabetes | 0.985395 |
| insulin resistance | 0.560282 |
| Insulin resistance increases | 0.493844 |
| key | 0.409511 |
| higher risk | 0.468678 |
| delivery | 0.41845 |
| Talk | 0.417853 |
| healthy baby | 0.448457 |
| doctor | 0.49514 |
| cesarean section | 0.4416 |
| healthy pregnancy | 0.472881 |
| high blood pressure | 0.471681 |
| baby | 0.507075 |
| baby’s health | 0.434903 |
| risk | 0.472053 |
| blood sugar | 0.75158 |
| levels | 0.417169 |
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