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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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| 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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Centers for Disease Control and Prevention |
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QuickStats: Percentage of Employed Adults* Aged 18-64 Years Who Had Carpal Tunnel Syndrome in the Past 12 Months, by Sex and Age Group - National Health Interview Survey, 2010§ |
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. |
| mmwrq@cdc.gov. | 0.445388 |
| endorsement | 0.418806 |
| Alternate Text | 0.439128 |
| Human Services | 0.476565 |
| assistive technology | 0.447446 |
| National Health Interview | 0.544546 |
| wrist | 0.408058 |
| U.S. Department | 0.474051 |
| MMWR HTML versions | 0.468837 |
| electronic PDF version | 0.467317 |
| percentage | 0.428272 |
| carpal tunnel syndrome | 0.961158 |
| e-mail | 0.416087 |
| sample adult component | 0.477647 |
| household interviews | 0.441657 |
| Contact GPO | 0.444068 |
| Health Interview Survey | 0.544519 |
| commercial sources | 0.439345 |
| current prices | 0.43792 |
| persons | 0.415711 |
| original paper copy | 0.468485 |
| job | 0.407388 |
| noninstitutionalized U.S. population | 0.477414 |
| women | 0.413926 |
|
| age group | 0.597626 |
| U.S. Government Printing | 0.471809 |
| original MMWR paper | 0.467711 |
| adults | 0.45527 |
| pattern | 0.412393 |
| assistance | 0.407892 |
| title | 0.407837 |
| MMWR readers | 0.439426 |
| character translation | 0.437702 |
| file | 0.407928 |
| caution | 0.408059 |
| format errors | 0.436936 |
| business | 0.407385 |
| subject line | 0.446642 |
| typeset documents | 0.438598 |
| trade names | 0.439368 |
| official text | 0.436688 |
| relative standard error | 0.476193 |
| non-CDC sites | 0.438349 |
| report | 0.407833 |
| confidence interval | 0.44375 |
| information | 0.407932 |
| Accommodation | 0.407841 |
| electronic conversions | 0.436368 |
|
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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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Centers for Disease Control and Prevention |
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FluVaxView: Quick Links by Population |
FluVaxView Quick Links by Population - CDC |
| influenza season | 0.661885 |
| pregnant women | 0.233074 |
| national flu survey | 0.2457 |
| state-level influenza vaccination | 0.231449 |
| United States | 0.671221 |
|
| influenza vaccination coverage | 0.926295 |
| Influenza Vaccination Performance | 0.215752 |
| health care personnel | 0.329427 |
| Seasonal Influenza Vaccination | 0.202634 |
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| 9061 |
Centers for Disease Control and Prevention |
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Schistosomiasis - CDC |
A parasite is an organism that lives on or in a host and gets its food from or at the expense of its host. Parasites can cause disease in humans. |
| infectious form | 0.54782 |
| infected worldwide | 0.646239 |
| United States | 0.579927 |
| gynecophoral canal | 0.527139 |
| skin | 0.255359 |
| thicker male | 0.572729 |
| Biomphalaria sp. | 0.508755 |
| malaria | 0.283557 |
| NTDs | 0.321257 |
| Credit | 0.25511 |
| contaminated freshwater | 0.586464 |
| terms | 0.259034 |
| Bulinus sp. | 0.503828 |
| contact | 0.255252 |
| cercariae | 0.255812 |
| schistosomiasis | 0.849773 |
| female | 0.253131 |
|
| S. mansoni | 0.996973 |
| intermediate host | 0.840569 |
| DPDx | 0.293882 |
| Schistosoma mansoni | 0.831395 |
| impact | 0.258961 |
| S. haematobium | 0.748688 |
| bilharzia | 0.264427 |
| people | 0.262857 |
| S. japonicum | 0.581529 |
| human infections | 0.538608 |
| parasite | 0.276 |
| parasitic worms | 0.700196 |
| certain types | 0.549504 |
| Neglected Tropical Diseases | 0.854729 |
| freshwater snails | 0.603994 |
| S. intercalatum | 0.511025 |
| parasites | 0.278721 |
|
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Centers for Disease Control and Prevention |
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Flu News & Spotlights |
Flu news and spotlights - CDC |
| Dog Flu | 0.664721 |
| Flu Illness | 0.618019 |
| Pandemic Influenza | 0.530143 |
| Influenza Important Cause | 0.596197 |
| CDC Health Advisory | 0.62664 |
| U.S. Flu Season | 0.67041 |
| Latest Flu Season | 0.661754 |
| Influenza Seasonality | 0.559694 |
| CDC Laboratory Study | 0.632274 |
| CDC Statement | 0.56842 |
| Flu Vaccine Saved | 0.704595 |
| Respiratory Hospitalizations Worldwide | 0.502604 |
| Reports Flu Vaccine | 0.712391 |
| Global Flu Work | 0.658431 |
| Influenza Antiviral Drugs | 0.579958 |
| CDC Urges Vaccination | 0.603215 |
| Canine Influenza | 0.580324 |
| new cdc study | 0.69673 |
| H3N2 Canine Influenza | 0.576439 |
| Flu Activity | 0.63482 |
| annual influenza vaccination | 0.59342 |
| CDC Announces Winner | 0.597141 |
| Flu Season Drawing | 0.69391 |
| Flu Vaccine Reduces | 0.673951 |
| Influenza Illness Reported | 0.604893 |
|
| influenza | 0.627295 |
| CDC Urges People | 0.598898 |
| H5 Viruses Detected | 0.528547 |
| Improved Global Capacity | 0.489679 |
| Avian Influenza | 0.612723 |
| Avian Flu Update | 0.699892 |
| flu vaccine | 0.899082 |
| Flu Season Continues | 0.759185 |
| Influenza A H5 | 0.595827 |
| cdc study | 0.707957 |
| Immunization Practices | 0.491098 |
| Advisory Committee | 0.488074 |
| Flu Symptoms Promptly | 0.645713 |
| spray flu vaccine | 0.680982 |
| Influenza Surveillance | 0.555352 |
| CDC Observational Study | 0.662713 |
| CDC Collaborative Study | 0.750228 |
| influenza vaccination | 0.602412 |
| Influenza Season Challenge | 0.578784 |
| Flu Season | 0.919987 |
| Influenza H7N8 Update | 0.612191 |
| H5 Bird Flu | 0.711433 |
| CDC Reports Cases | 0.596936 |
| Flu Season Begins | 0.697973 |
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Centers for Disease Control and Prevention |
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A Plan for Community Event-Based Surveillance to ReduceEbola Transmission - Sierra Leone, 2014-2015 |
On January 23, 2015, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| community health officer | 0.472562 |
| Ebola treatment unit | 0.589153 |
| Gabriel T. Jonnie | 0.442835 |
| Ebola surveillance | 0.679825 |
| Sierra Leone Ebola | 0.668701 |
| local Sierra Leoneans | 0.447985 |
| community health officers | 0.699012 |
| Bo District Health | 0.508068 |
| Ebola virus | 0.698883 |
| Health Management Team | 0.568069 |
| MMWR Early Release | 0.454437 |
| community surveillance supervisor | 0.514623 |
| Ebola transmission | 0.610585 |
| ebola response | 0.578072 |
| health care facility | 0.459287 |
| case detection | 0.474734 |
| 4Bo District Health | 0.462919 |
| District Health Management | 0.573988 |
| West African response | 0.447859 |
| Seung Hee Lee-Kwan | 0.445619 |
| response team members | 0.449414 |
| R. Ryan Lash | 0.439085 |
| community health | 0.711557 |
| Ebola trigger events | 0.658269 |
|
| Ebola | 0.818216 |
| Ebola virus disease | 0.668896 |
| Ebola virus testing | 0.601902 |
| Ebola prevention activities | 0.598122 |
| Sierra Leone | 0.929574 |
| Ebola cases | 0.645548 |
| Ebola case | 0.620655 |
| CEBS.¶ Local community | 0.46135 |
| IRC implementation team | 0.445635 |
| health care workers | 0.457855 |
| key public health | 0.448574 |
| trigger events | 0.754798 |
| 5World Health Organization | 0.443368 |
| community health monitors | 0.597632 |
| district Ebola surveillance | 0.649608 |
| residual Ebola transmission | 0.582042 |
| local community health | 0.580892 |
| Bo District | 0.713456 |
| District community health | 0.505698 |
| key community leaders | 0.449918 |
| Sierra Leone Ministry | 0.492843 |
| future Ebola outbreaks | 0.583279 |
| Community Event-Based Surveillance | 0.485844 |
| district contact tracers | 0.459043 |
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Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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Heart Disease Fact Sheet|Data & Statistics|DHDSP |
null |
| Stroke Statistics—2017 Update | 0.517889 |
| common type | 0.48135 |
| Heidenriech PA | 0.46578 |
| high LDL cholesterol | 0.542857 |
| heart disease-related event | 0.580695 |
| Disease Control | 0.501061 |
| High blood pressure | 0.53565 |
| National Center | 0.470377 |
| racial/ethnic groups | 0.475492 |
| cardiovascular disease risk | 0.560809 |
| health care services | 0.536409 |
| disease risk factors | 0.662338 |
| Vital Statistics Cooperative | 0.53677 |
| Ezekowitz MD | 0.465523 |
| American Heart Association | 0.646903 |
| Heron M. Deaths | 0.539372 |
| American Indians | 0.474255 |
| Health Statistics | 0.474794 |
| medical conditions | 0.472395 |
| Chiuve SE | 0.466799 |
| Excessive alcohol | 0.472378 |
| Asian Americans | 0.488956 |
| Poor diet | 0.471222 |
| heart attack | 0.509323 |
| United States | 0.762588 |
|
| African Americans | 0.489428 |
| lifestyle choices | 0.467832 |
| Death Files | 0.473638 |
| heart disease | 0.961633 |
| Blaha MJ | 0.47708 |
| Das SR | 0.467839 |
| National vital statistics | 0.535402 |
| Multiple Cause | 0.526029 |
| Benjamin EJ | 0.469317 |
| higher risk | 0.473942 |
| CDC. Million Heartsâ„¢ | 0.521842 |
| Khavjou OA | 0.467909 |
| following Web sites | 0.526746 |
| Alaska Natives | 0.476758 |
| WONDER Online Database | 0.527154 |
| Physical inactivity | 0.479795 |
| Coronary heart disease | 0.624901 |
| people | 0.437011 |
| heart disease risk | 0.605824 |
| Pacific Islanders | 0.47657 |
| policy statement | 0.464999 |
| vital statistics | 0.581533 |
| vital statistics jurisdictions | 0.537665 |
| et al | 0.528685 |
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