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Centers for Disease Control and Prevention |
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Protect Against Respiratory Syncytial Virus | CDC Features |
RSV is common during fall, winter and spring. It usually causes mild, cold-like symptoms. But RSV can be serious, especially for infants and older adults. Help protect your child and others from RSV. |
| hands | 0.44098 |
| Premature babies | 0.407478 |
| alcohol-based hand sanitizer | 0.485685 |
| tissue | 0.336277 |
| RSV infection | 0.902383 |
| coughing | 0.348111 |
| school | 0.335433 |
| childcare center | 0.391477 |
| immune systems | 0.404142 |
| young children | 0.586027 |
| high-risk children | 0.39188 |
| lungs | 0.344873 |
| small airways | 0.41363 |
| Healthy people | 0.400706 |
| organ transplants | 0.402095 |
| germs | 0.409041 |
| unwashed hands | 0.41677 |
| infants | 0.371417 |
| Reduced appetite | 0.407758 |
| sick people | 0.400921 |
| water | 0.334172 |
| extra care | 0.387539 |
| RSV season | 0.635027 |
| certain heart problems | 0.489004 |
| difficulty breathing | 0.399961 |
|
| common cold | 0.400851 |
| cold-like symptoms | 0.710331 |
| United States | 0.413312 |
| Stay home | 0.392978 |
| chronic lung disease | 0.484958 |
| public areas | 0.393439 |
| eyes | 0.336466 |
| Runny nose | 0.420936 |
| surfaces | 0.373722 |
| sneezing | 0.353546 |
| prevention tips | 0.493171 |
| close contact | 0.471601 |
| Child Care | 0.388502 |
| higher risk | 0.58856 |
| RSV touch | 0.587567 |
| severe lung infections | 0.501974 |
| people | 0.488023 |
| specific medical treatments | 0.490707 |
| Respiratory syncytial virus | 0.503276 |
| mouth | 0.366495 |
| older adults | 0.60887 |
| time | 0.337861 |
| severe illness | 0.497155 |
| HIV infection | 0.443956 |
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Centers for Disease Control and Prevention |
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Taking Care of Yourself When You Have Seasonal Flu |
Taking Care of Yourself: What to Do if You Get Sick with Flu. |
| flu symptoms | 0.646716 |
| social events | 0.217722 |
| health care provider | 0.546374 |
| emergency room | 0.56828 |
| emergency warning signs | 0.320668 |
| flu complications | 0.444127 |
| Developing Flu–Related Complications | 0.378933 |
| public gatherings | 0.217604 |
| pregnant women | 0.236133 |
| flu-related complications | 0.420171 |
| flu sickness | 0.414318 |
| mild illness | 0.267941 |
| young children | 0.230809 |
| high risk group | 0.533841 |
| illness | 0.284327 |
|
| medical help | 0.220784 |
| Certain people | 0.236765 |
| antiviral drugs | 0.387712 |
| seasonal flu | 0.427339 |
| medical care | 0.505351 |
| people | 0.379418 |
| flu | 0.823067 |
| fever-reducing medicine | 0.219989 |
| certain medical conditions | 0.34011 |
| antiviral treatment | 0.249217 |
| physician assistant | 0.234449 |
| novel flu virus | 0.537219 |
| high risk status | 0.339815 |
| high risk | 0.988392 |
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Centers for Disease Control and Prevention |
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Lessons learned from a collaborative to improve care for patients with diabetes in 17 community health centers, Massachusetts, 2006 |
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| multiple CHC teams | 0.39315 |
| future collaborative efforts | 0.389834 |
| patient data | 0.370535 |
| CHC team members | 0.398855 |
| PDSA cycles | 0.443949 |
| team leaders | 0.41824 |
| health care team | 0.578266 |
| health care delivery | 0.476965 |
| quality improvement | 0.375652 |
| Massachusetts collaborative | 0.374177 |
| senior leadership | 0.375618 |
| health care providers | 0.388502 |
| Chronic Care Model | 0.994369 |
| entire health care | 0.387563 |
| provider champions | 0.374693 |
| provider champion | 0.393606 |
| self-management goals | 0.371997 |
| Disparities Collaborative team | 0.40234 |
| Carolina Diabetes Collaborative | 0.394604 |
| teams | 0.452631 |
| patients | 0.459727 |
| CHCs | 0.57386 |
| patient registries | 0.38663 |
| team members | 0.558775 |
|
| collaborative team leaders | 0.404404 |
| CHC teams | 0.409713 |
| primary care provider | 0.376294 |
| Massachusetts Diabetes Health | 0.457876 |
| support | 0.372179 |
| CHCs opportunities | 0.401356 |
| electronic medical record | 0.384225 |
| patient registry | 0.395769 |
| collaborative’s activities | 0.375284 |
| intercoder agreement | 0.382356 |
| diabetes care | 0.376477 |
| diabetes-related health disparities | 0.385657 |
| Massachusetts Medical School | 0.494713 |
| Health Disparities Collaborative | 0.521762 |
| National Health Disparities | 0.384327 |
| primary health care | 0.395537 |
| staff | 0.372201 |
| Massachusetts League | 0.415131 |
| Patient Electronic Care | 0.379212 |
| community health centers | 0.843311 |
| delivery system design | 0.38066 |
| Care Model component | 0.458204 |
| Diabetes Health Disparities | 0.463652 |
| community health center | 0.376206 |
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Centers for Disease Control and Prevention |
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Oil mist (mineral) - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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Centers for Disease Control and Prevention |
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Ferrovanadium dust - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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Centers for Disease Control and Prevention |
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Global Health - Indonesia |
CDC has collaborated with Indonesia for more than fifty years. |
| public buildings | 0.558218 |
| study | 0.341788 |
| CDC | 0.582963 |
| endorsement | 0.38156 |
| data | 0.341436 |
| injuries | 0.349812 |
| infectious diseases | 0.604888 |
| Indonesian Ministry | 0.652106 |
| noncommunicable diseases | 0.593497 |
| South Halmahera district | 0.803807 |
| influenza-like illness | 0.585867 |
| high-priority public health | 0.905925 |
| Content source | 0.565427 |
| HHS | 0.388696 |
| pneumonia | 0.376446 |
| Notice | 0.354333 |
| children | 0.341495 |
| tobacco | 0.341157 |
|
| Download Overview Fact | 0.828881 |
| priority diseases | 0.602246 |
| Assistance | 0.346612 |
| Minister | 0.343665 |
| needs | 0.346056 |
| diarrhea | 0.375797 |
| Early Warning | 0.593317 |
| malaria deaths | 0.66473 |
| Response | 0.344227 |
| notifiable disease surveillance | 0.887904 |
| malaria incidence | 0.662021 |
| non-federal site | 0.618315 |
| lung function standards | 0.800554 |
| 2004-2009 | 0.342405 |
| employees | 0.341222 |
| Sheet | 0.344954 |
| Indonesian adults | 0.615373 |
| Health address | 0.596461 |
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Centers for Disease Control and Prevention |
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National Center for Environmental Health - Publications and Products |
Data Resources for the National Center for Environmental Health |
| MPEG | 0.244631 |
| environmental health professionals | 0.98284 |
| different file formats | 0.89414 |
| U.S. population | 0.591263 |
| measures | 0.227782 |
| PPT | 0.309105 |
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| nutrition status | 0.519161 |
| inspectors | 0.281426 |
| DOC | 0.234232 |
| public health professionals | 0.976114 |
| housing managers | 0.592644 |
| home inspection | 0.603126 |
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Centers for Disease Control and Prevention |
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Asthma - Table 4-1 Current Asthma Prevalence Percents by Age, NHIS, 2011 |
Table 4-1 Current Asthma Prevalence Percents by Age, 2011 |
| Family Income | 0.666407 |
| ** | 0.626377 |
| West | 0.486459 |
| South | 0.48717 |
| Puerto Rican | 0.679466 |
| 10.6 | 0.803518 |
|
| Midwest | 0.487885 |
| White | 0.501719 |
| Black Non-Hispanic | 0.678942 |
| Female | 0.938153 |
| Region | 0.488998 |
| Poverty Threshold | 0.671839 |
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Centers for Disease Control and Prevention |
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RMSF is Deadly, Yet Preventable | CDC Features |
Early treatment with doxycycline can prevent severe illness and death. |
| North Carolina | 0.364345 |
| untreated cases | 0.365006 |
| American Academy | 0.415966 |
| health care provider | 0.940988 |
| tick prevention | 0.433989 |
| FALSE. Tick bites | 0.554473 |
| doxycycline | 0.620609 |
| tick habitats | 0.522142 |
| children | 0.376875 |
| Avoiding Ticks page | 0.502907 |
| health care providers | 0.415296 |
| life-threatening illness | 0.379255 |
| antibiotic treatment | 0.484004 |
| RMSF infections | 0.379096 |
| Early treatment | 0.376558 |
| symptoms | 0.398139 |
| FALSE. Treatment | 0.398502 |
| RMSF cases | 0.386037 |
| Tick Removal page | 0.467605 |
| fever | 0.417077 |
| laboratory test | 0.510206 |
| laboratory test results | 0.478241 |
| tick grasp | 0.431387 |
| RMSF infection | 0.375364 |
|
| infected tick | 0.545723 |
| Rocky Mountain | 0.461993 |
| tickborne diseases | 0.427202 |
| diagnostic test results | 0.405448 |
| Early signs | 0.364192 |
| reliable laboratory test | 0.404172 |
| Permethrin kills ticks | 0.514033 |
| illness | 0.473066 |
| antibiotic doxycycline | 0.551797 |
| FALSE. Doxycycline | 0.454864 |
| ticks | 0.784309 |
| RMSF | 0.658919 |
| RMSF report | 0.411962 |
| outdoor activities | 0.41085 |
| previously healthy people | 0.408826 |
| tickborne illness | 0.391149 |
| people | 0.435163 |
| Indian Health Service | 0.411376 |
| rash | 0.413857 |
| deadly tickborne disease | 0.425875 |
| contiguous United States | 0.415209 |
| unattached ticks | 0.459556 |
| information | 0.37004 |
| severe illness | 0.371329 |
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Centers for Disease Control and Prevention |
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Progress with Scale-Up of HIV Viral Load Monitoring - SevenSub-Saharan African Countries, January 2015-June 2016 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| viral load monitoring | 0.452646 |
| overall testing capacity | 0.340927 |
| CDC | 0.334265 |
| sub-Saharan African countries | 0.360518 |
| HIV-1 Viral Load | 0.410432 |
| load testing capacity | 0.376644 |
| Global HIV/AIDS | 0.355278 |
| number | 0.329384 |
| viral suppression | 0.515787 |
| load testing targets | 0.389394 |
| World Health Organization | 0.330193 |
| load proficiency testing | 0.379406 |
| Global Health | 0.352508 |
| patients | 0.360081 |
| molecular testing platforms | 0.335925 |
| countries | 0.407206 |
| test turnaround time | 0.346812 |
| HIV treatment | 0.350076 |
| persons | 0.347589 |
| low viral load | 0.401419 |
| public health practice | 0.33013 |
| load testing platforms | 0.371112 |
| human immunodeficiency virus | 0.348984 |
| South Africa | 0.417718 |
| effective viral load | 0.399791 |
|
| HIV patient monitoring | 0.336876 |
| viral load test | 0.459367 |
| load testing scale-up | 0.37478 |
| Côte d’Ivoire | 0.41294 |
| viral load suppression | 0.414874 |
| ART | 0.404959 |
| antiretroviral therapy | 0.328504 |
| viral load proficiency | 0.419446 |
| viral suppression rates | 0.379448 |
| sub-Saharan Africa | 0.367972 |
| sub-Saharan countries | 0.328302 |
| viral load testing | 0.933471 |
| turnaround time | 0.374324 |
| viral loading testing | 0.391219 |
| Proficiency Testing program | 0.335746 |
| ART patients | 0.345257 |
| recommends viral load | 0.417809 |
| adequate equipment capacity | 0.350265 |
| viral suppression goals | 0.377199 |
| HIV viral load | 0.414758 |
| HIV worldwide | 0.331111 |
| HIV infection | 0.367421 |
| viral load scale-up | 0.411322 |
| sub-Saharan Africa accounting | 0.331759 |
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