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Centers for Disease Control and Prevention |
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Conjunctivitis: Treatment |
The treatment for conjunctivitis depends on the cause. |
| allergic conjunctivitis | 0.462265 |
| Mild bacterial conjunctivitis | 0.592515 |
| certain eye drops | 0.333095 |
| cold compresses | 0.242448 |
| topical antihistamine | 0.226509 |
| artificial tears | 0.237374 |
| herpes simplex virus | 0.335841 |
| red eye | 0.219923 |
| viral conjunctivitis | 0.786656 |
| best treatment options | 0.315822 |
| antibiotic resistance | 0.241121 |
| prescription eye | 0.221183 |
| pink eye | 0.243657 |
| contact lenses | 0.233761 |
| eye drops | 0.339716 |
| Fam Physician. | 0.231905 |
| antibiotic treatment | 0.243323 |
|
| antiviral medication | 0.235201 |
| specific treatment | 0.226374 |
| Allergy medications | 0.217802 |
| Kankanala RR | 0.223069 |
| conjunctivitis | 0.927172 |
| medical care | 0.240413 |
| increased costs | 0.220695 |
| doctor | 0.27236 |
| Mauger T. Diagnosis | 0.331173 |
| eye doctor | 0.237638 |
| varicella-zoster virus | 0.23693 |
| animal dander | 0.21784 |
| healthcare provider | 0.234481 |
| bacterial conjunctivitis | 0.606385 |
| following cases | 0.221657 |
| primary care | 0.215496 |
| antibiotics | 0.25329 |
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Centers for Disease Control and Prevention |
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Arthritis in the Canadian Aboriginal Population: North-South Differences in Prevalence and Correlates |
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| Aboriginal groups—off-reserve | 0.376863 |
| concurrent chronic diseases | 0.390132 |
| arthritis patients | 0.489503 |
| lower prevalence | 0.454952 |
| regional differences | 0.425686 |
| non-Aboriginal people | 0.449717 |
| Canadian Arthritis Network | 0.511139 |
| lower prevalence estimates | 0.406139 |
| H. Aboriginal Peoples | 0.404546 |
| risk factors | 0.459174 |
| northern territories | 0.42484 |
| rheumatoid arthritis | 0.677507 |
| arthritides—rheumatoid arthritis | 0.483343 |
| Aboriginal ancestry | 0.365253 |
| multiple Aboriginal groups | 0.439648 |
| arthritis | 0.989573 |
| self-reported arthritis rubric | 0.525161 |
| Statistics Canada | 0.827667 |
| Aboriginal Peoples Survey | 0.790504 |
| non-reserve Aboriginal Population | 0.403785 |
| off-reserve Aboriginal population | 0.408906 |
| Peschken C. Arthritis | 0.507783 |
| Aboriginal residents | 0.375112 |
| aboriginal population | 0.463281 |
| Aboriginal groups | 0.623226 |
|
| Arthritis prevalence | 0.573387 |
| north | 0.465108 |
| Aboriginal respondents | 0.401966 |
| chronic disease arthritis | 0.541052 |
| Semin Arthritis Rheum. | 0.559623 |
| crude prevalence | 0.503632 |
| prevalence | 0.612578 |
| Aboriginal people | 0.969671 |
| body mass index | 0.37936 |
| clinically undifferentiated arthritis | 0.517493 |
| musculoskeletal disorders | 0.363382 |
| Aboriginal Manitobans | 0.366794 |
| health care | 0.541213 |
| arthritis report | 0.49143 |
| following Aboriginal groups | 0.437088 |
| chronic diseases | 0.41526 |
| age-adjusted prevalence | 0.420188 |
| South | 0.410995 |
| Catalogue No. | 0.422728 |
| Aboriginal populations | 0.369718 |
| National Aboriginal Arthritis | 0.631682 |
| different Aboriginal groups | 0.454463 |
| public health significance | 0.424456 |
| crude prevalence proportions | 0.415809 |
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Centers for Disease Control and Prevention |
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Oregon Activities to Prevent HAIs |
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| MDROs | 0.419599 |
| Injection Safety | 0.680977 |
| HAI Data | 0.657735 |
| Healthcare-associated Infections | 0.529291 |
| HAI Detection | 0.700028 |
| email address | 0.661202 |
| CDI | 0.43419 |
| recent work | 0.663077 |
| Infection Prevention | 0.589376 |
| Clostridium difficile infection | 0.70975 |
| Appropriate Antibiotic | 0.557429 |
| Educational Efforts | 0.542209 |
| monthly update | 0.681353 |
|
| Coordinated Prevention | 0.562123 |
| Infection Control Assessment | 0.685866 |
| ELC HAI-funded Activities | 0.685659 |
| Enterobacteriaceae (CRE) | 0.681204 |
| Regional Multidrug-Resistant Organism | 0.635555 |
| infectious disease | 0.684571 |
| Antimicrobial Resistance | 0.552855 |
| Laboratory Capacity | 0.542902 |
| Initial Implementation | 0.52655 |
| information | 0.42213 |
| CLABSI Validation Guidance | 0.628019 |
| HAI Prevention Infrastructure | 0.961806 |
|
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Centers for Disease Control and Prevention |
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Global Health - Dr. Frieden visits Kenya |
In Kenya, the CDC is addressing the region's toughest health problems at their source, directly working with vulnerable families and communities in local hospitals, clinics, and laboratories. |
| CDC | 0.860943 |
| CDC staff in-country | 0.737051 |
| foreign countries | 0.504232 |
| Secretary | 0.416234 |
| Laboratory Training Program | 0.590482 |
| demographic status | 0.500026 |
| polio eradication program | 0.631368 |
| U.S. efforts | 0.507961 |
| technical support | 0.494493 |
| Human Services Kathleen | 0.574685 |
| Institute | 0.416538 |
| CDC Field Research | 0.742024 |
| CDC-affiliated staff | 0.503964 |
| epicenter | 0.422002 |
| FETP/FELTP website | 0.503549 |
| laboratory training | 0.60351 |
| field station | 0.497222 |
| Dr. Tom Frieden | 0.76604 |
| disease surveillance | 0.492073 |
| Scott Gration | 0.513561 |
| important contributions | 0.490518 |
| officers | 0.417393 |
| important milestone | 0.495945 |
|
| CDC staff | 0.837726 |
| CDC overseas platforms | 0.731937 |
| laboratory training programs | 0.587926 |
| strategies | 0.417008 |
| Director | 0.418938 |
| polio case | 0.554838 |
| KEMRI | 0.449683 |
| CDC staff collect | 0.746551 |
| w/ largest gathering | 0.583937 |
| people | 0.416266 |
| Kenya Medical Research | 0.677329 |
| India | 0.458617 |
| global health activities | 0.619272 |
| dynamic public health | 0.599801 |
| TP programs | 0.510105 |
| U.S. Ambassador | 0.514785 |
| Kenyan health officials | 0.630129 |
| Kisian | 0.416621 |
| Field Epidemiology | 0.525074 |
| preventable deaths | 0.521142 |
| Learn | 0.416992 |
| information | 0.416316 |
| visit | 0.431013 |
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Centers for Disease Control and Prevention |
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CDC Reports Cases 14-17 of H3N2v Infection; Shares Advice for Safe Fair-Going |
CDC Reports Cases 14-17 of H3N2v Infection; Shares Advice for Safe Fair-Going. |
| flu symptoms | 0.465207 |
| H3N2v infections | 0.49467 |
| infect swine | 0.718489 |
| fairs | 0.473029 |
| United States | 0.51438 |
| Dr. Dan Jernigan | 0.546604 |
| Prevent Disease | 0.48266 |
| health care provider | 0.759713 |
| influenza antiviral drugs | 0.706687 |
| swine influenza | 0.81218 |
| reported swine contact | 0.759146 |
| pandemic H1N1 virus | 0.695065 |
| H3N2v | 0.579202 |
| swine herds | 0.66656 |
| State Public Health | 0.491731 |
| certain people | 0.42773 |
| seasonal influenza viruses | 0.637756 |
| animal areas | 0.469727 |
| swine contact | 0.782125 |
| heart disease | 0.482442 |
| H3N2v virus | 0.518944 |
| Raise Pigs Need | 0.489607 |
| CDC Influenza Division | 0.643182 |
| close contact | 0.42029 |
|
| Health care providers | 0.474398 |
| ill swine | 0.668453 |
| preventive actions | 0.492629 |
| Public Settings | 0.484337 |
| appropriate protective measures | 0.466266 |
| higher risk | 0.529276 |
| limited human-to-human transmission | 0.485406 |
| pandemic M gene | 0.413886 |
| novel influenza virus | 0.676715 |
| flu-like symptoms | 0.41515 |
| personal protective equipment | 0.473229 |
| animal diagnostic laboratories | 0.508958 |
| similar youth development | 0.486234 |
| seasonal flu-related complications | 0.472164 |
| website fact sheet | 0.471472 |
| sick people | 0.427961 |
| state animal health | 0.523569 |
| H3N2v viruses | 0.54204 |
| people | 0.697656 |
| swine | 0.918866 |
| influenza testing | 0.511847 |
| influenza viruses | 0.722147 |
| virus.* Genetic testing | 0.50756 |
|
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Centers for Disease Control and Prevention |
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Pandemic Resources Tools - FluLabSurge 1.0 |
FluLabSurge is a spreadsheet-based program designed to assist laboratory directors forecast demand for specimen testing during the next influenza pandemic (i.e., the surge in demand), and develop response plans - CDC |
| different modules | 0.504497 |
| clinical diagnostics | 0.522126 |
| laboratory directors | 0.520015 |
| United States | 0.495422 |
| influenza-testing laboratories | 0.41566 |
| strain identification | 0.417184 |
| Software Application | 0.519959 |
| free storage memory | 0.48972 |
| response plans | 0.422225 |
| one-page plan | 0.421335 |
| pandemic influenza | 0.742291 |
| one-way sensitivity analysis | 0.496166 |
| U.S. Federal Government | 0.486984 |
| testing capacity | 0.446881 |
| time period | 0.410813 |
| diagnostic machines | 0.412385 |
| particular module | 0.461101 |
| FluLabSurge download | 0.43845 |
| lab capacity | 0.422321 |
| 1918-type pandemic scenarios | 0.768625 |
| general modeling philosophy | 0.482558 |
| Cox NJ | 0.486651 |
| file download menu | 0.487674 |
| total number | 0.419412 |
|
| spreadsheet-based program | 0.429849 |
| Fukuda K. Modeling | 0.493421 |
| particular laboratory | 0.42249 |
| Fukuda K. | 0.513602 |
| influenza pandemic | 0.886691 |
| economic impact | 0.566602 |
| QuickStart Manual | 0.512333 |
| Pandemic Planning Module | 0.97658 |
| daily number | 0.528611 |
| Security Warning Screen | 0.480604 |
| Download Stand-alone FluLabSurge | 0.719888 |
| specimens | 0.427479 |
| additional test | 0.410827 |
| public health officials | 0.519504 |
| Meltzer MI | 0.588279 |
| Laboratory Capacity Module | 0.737219 |
| Workload Demand Module | 0.745783 |
| user-defined testing goals | 0.531666 |
| meaningful results | 0.415942 |
| page | 0.427012 |
| 1968-type pandemic | 0.672448 |
| laboratory testing capacities | 0.530887 |
| pandemic stages | 0.698113 |
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Centers for Disease Control and Prevention |
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Getting Health Care Abroad | CDC Features |
Travelers may get sick or injured while traveling, and you should plan in advance how to get care when you’re overseas. |
| allergies | 0.47784 |
| medicines | 0.700393 |
| clinics | 0.468808 |
| United States | 0.762093 |
| emergency | 0.470823 |
| foreign country | 0.784858 |
| advance | 0.591649 |
| pregnant women | 0.820891 |
| trip | 0.468478 |
| evacuation insurance | 0.788638 |
| travel health | 0.769214 |
| counterfeit | 0.49433 |
| long time | 0.802145 |
| event | 0.470918 |
| case | 0.535023 |
| MedicAlert bracelet | 0.800952 |
| Carry | 0.475495 |
| senior citizens | 0.808194 |
|
| simple things | 0.779589 |
| medical services | 0.778586 |
| people | 0.529377 |
| travelers | 0.93284 |
| friends | 0.471012 |
| blood type | 0.77036 |
| doctor | 0.473829 |
| following resources | 0.783863 |
| chronic illnesses | 0.779064 |
| medical conditions | 0.729676 |
| delays | 0.486329 |
| doctors | 0.470029 |
| lists | 0.468932 |
| destination country | 0.784957 |
| local language | 0.754479 |
| embassy | 0.494106 |
| family | 0.471075 |
|
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Vital Signs: Carbapenem-Resistant Enterobacteriaceae |
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. |
| Escherichia coli | 0.466345 |
| CRE HAI | 0.631009 |
| CRE emergence.* Patients | 0.624794 |
| CRE definitions | 0.610392 |
| U.S. acute-care hospitals | 0.475282 |
| Current CRE prevention | 0.622305 |
| Klebsiella species | 0.517705 |
| Enterobacteriaceae infections | 0.471007 |
| CRE burden | 0.593277 |
| Nosocomial Infection Surveillance | 0.504013 |
| surgical site infections | 0.466075 |
| substantial health-care exposures | 0.508069 |
| Klebsiella pneumoniae carbapenemase | 0.47937 |
| acute-care hospitals | 0.684702 |
| CRE | 0.926293 |
| Laboratory Standards Institute | 0.465443 |
| population-based CRE surveillance | 0.716057 |
| United States | 0.620626 |
| health-care–associated infections | 0.468467 |
| panresistant Klebsiella pneumoniae | 0.468596 |
| Emerging Infections Program | 0.506065 |
| CRE control efforts | 0.616337 |
| central-line–associated bloodstream infections | 0.468343 |
| EIP CRE surveillance | 0.641391 |
|
| Klebsiella oxytoca | 0.471968 |
| long-term acute-care hospitals | 0.544472 |
| National Healthcare Safety | 0.482458 |
| CRE episodes | 0.628771 |
| health-care settings | 0.50975 |
| CRE bloodstream infections | 0.623659 |
| health-care infections | 0.468808 |
| CRE gains | 0.582108 |
| CRE surveillance project | 0.713855 |
| CRE prevention strategies | 0.663682 |
| CRE incidence | 0.593682 |
| pan-resistant CRE | 0.599614 |
| short-stay acute-care hospitals | 0.505885 |
| gram-negative bacilli | 0.50432 |
| carbapenem resistance | 0.468966 |
| proportion CRE | 0.610677 |
| urinary tract infections | 0.46381 |
| health-care facilities | 0.46571 |
| CRE patients | 0.643311 |
| CRE culture-positive episodes | 0.746417 |
| Healthcare Safety Network | 0.529321 |
| past decade | 0.488091 |
| Klebsiella pneumoniae | 0.525158 |
| National Nosocomial Infection | 0.487718 |
|
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Centers for Disease Control and Prevention |
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Japanese Encephalitis Surveillance and Immunization - Asiaand the Western Pacific, 2012 |
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. |
| limited JE virus | 0.384675 |
| JE virus infection | 0.416332 |
| je laboratory network | 0.472324 |
| JE disease burden | 0.392449 |
| JE surveillance | 0.699199 |
| JE vaccine | 0.615196 |
| JE case | 0.456439 |
| Western Pacific Region | 0.213137 |
| JE immunization programs | 0.459832 |
| JE prevention activities | 0.389795 |
| JE risk | 0.380243 |
| JE immunization program | 0.595277 |
| national immunization programs | 0.203587 |
| effective JE prevention | 0.378277 |
| Susan L. Hills | 0.200043 |
| World Health Organization | 0.226498 |
| JE surveillance programs | 0.475501 |
| je prevention | 0.459887 |
|
| JE case reporting | 0.393241 |
| sentinel surveillance | 0.207298 |
| countries | 0.301468 |
| JE virus transmission | 0.975698 |
| JE control | 0.425094 |
| surveillance case definition | 0.22018 |
| surveillance sites | 0.208533 |
| JE vaccination program | 0.387209 |
| public health problem | 0.279711 |
| case definition | 0.253208 |
| government surveillance programs | 0.216907 |
| virus transmission risk | 0.493745 |
| risk areas | 0.200388 |
| JE vaccination | 0.400127 |
| laboratory confirmation | 0.207494 |
| JE cases | 0.482208 |
| pediatric JE vaccines | 0.447179 |
| Western Pacific | 0.241774 |
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Zika: Consejos para las personas en Florida |
Información sobre el virus del Zika. Facilitada por los Centros para el Control y la Prevención de Enfermedades de los EE. UU. |
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