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Centers for Disease Control and Prevention |
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Chronic Disease - Programs |
NCCDPHP supports a variety of activities that improve the nation's health by preventing chronic diseases and their risk factors. Major program areas are listed. |
| risk factors | 0.721437 |
| chronic diseases | 0.730735 |
| community levels | 0.620516 |
| nation | 0.277349 |
| implementation | 0.268988 |
| public health programs | 0.95886 |
| Program activities | 0.608164 |
| NCCDPHP | 0.278342 |
| Page | 0.269361 |
|
| stakeholders | 0.35157 |
| tools | 0.267148 |
| states | 0.269192 |
| major functions | 0.623706 |
| health communication | 0.602231 |
| variety | 0.278011 |
| major program areas | 0.913352 |
| public health surveillance | 0.990338 |
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Flu Partner Success Stories: Childhood Influenza Immunization Coalition (CIIC) |
Partnership success stories, Childhood Influenza Immunization Coalition (CIIC) - CDC |
| National Foundation | 0.203163 |
| Wendy Sue Swanson | 0.30303 |
| Childhood Influenza Immunization | 0.965983 |
| influenza vaccination rates | 0.676397 |
| CIIC membership | 0.22837 |
| influenza vaccination | 0.82643 |
| 2012-2013 influenza season | 0.641747 |
| influenza awareness | 0.433948 |
| member representatives | 0.310471 |
| contact Jennifer Bender | 0.289724 |
|
| immunization community | 0.220723 |
| influenza immunization recommendation | 0.72219 |
| consumer media outreach | 0.32723 |
| national health priority | 0.359818 |
| member communications channels | 0.313962 |
| Seattle Mama Doc | 0.3014 |
| National Influenza Vaccination | 0.583291 |
| social media | 0.306998 |
| Influenza Immunization Coalition | 0.717298 |
|
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Centers for Disease Control and Prevention |
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Division of Parasitic Diseases - Toxocariasis Fact Sheet |
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 Toxocara eggs | 0.695774 |
| pets | 0.331275 |
| hands | 0.343497 |
| various body organs | 0.469068 |
| common Toxocara parasite | 0.665325 |
| living area | 0.384885 |
| health care provider | 0.724312 |
| large numbers | 0.389919 |
| infective larvae develop | 0.495407 |
| time period | 0.389347 |
| dogs | 0.353543 |
| Toxocara | 0.92405 |
| young children | 0.483496 |
| animals | 0.334643 |
| T. cati | 0.406157 |
| Toxocara infections | 0.593142 |
| parasitic roundworms | 0.409958 |
| Toxocara larvae migrate | 0.87784 |
| testing | 0.331602 |
| ocular toxocariasis | 0.740515 |
| severe cases | 0.387852 |
| especially adults | 0.392381 |
| symptoms | 0.376552 |
| pet waste | 0.388124 |
|
| visceral toxocariasis | 0.741373 |
| dog | 0.334121 |
| animal feces | 0.44414 |
| Toxocara parasite | 0.696058 |
| eye inflammation | 0.394721 |
| T. canis | 0.392889 |
| progressive damage | 0.382809 |
| accidentally swallowing dirt | 0.487865 |
| abdominal pain | 0.390091 |
| antiparasitic drugs | 0.385508 |
| outdoor activities | 0.385364 |
| undercooked meat | 0.397867 |
| cat feces | 0.54877 |
| U.S. population | 0.400553 |
| people | 0.372056 |
| person-to-person contact | 0.393134 |
| higher chance | 0.39894 |
| cats | 0.353514 |
| Toxocara eggs | 0.706824 |
| veterinarian | 0.330719 |
| vision loss | 0.394623 |
| parasitic infection | 0.406741 |
| small number | 0.392303 |
| humans | 0.334483 |
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Centers for Disease Control and Prevention |
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Hydrogen peroxide - 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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o-Anisidine - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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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Update: Influenza Activity - United States, October 2-November 26, 2011 |
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. |
| influenza | 0.956508 |
| CDC influenza surveillance | 0.488841 |
| Pediatric Mortality Surveillance | 0.308036 |
| U.S. Outpatient Influenza-Like | 0.340715 |
| widespread influenza activity | 0.499598 |
| United States | 0.542032 |
| Multiple influenza vaccines | 0.474019 |
| Influenza Div | 0.456501 |
| novel influenza | 0.544236 |
| triple reassortant influenza | 0.460902 |
| influenza A viruses | 0.533178 |
| influenza A samples | 0.446532 |
| Influenza Associated Pediatric | 0.478481 |
| New York City | 0.333626 |
| influenza B component | 0.470516 |
| influenza vaccine strains | 0.561816 |
| Northern Hemisphere | 0.366833 |
| influenza antiviral medications | 0.544605 |
| influenza virus infection | 0.474504 |
| influenza B viruses | 0.578327 |
| seasonal influenza vaccine | 0.503396 |
| ILI activity level | 0.31585 |
| Cities Mortality Reporting | 0.381936 |
| influenza A virus | 0.487814 |
|
| Influenza surveillance reports | 0.48421 |
| influenza vaccine | 0.764642 |
| influenza season | 0.590272 |
| World Health Organization | 0.442083 |
| influenza activity | 0.676024 |
| influenza virus strains | 0.484801 |
| U.S. influenza activity* | 0.524842 |
| minimal ILI activity | 0.314178 |
| swine-origin influenza | 0.497641 |
| influenza virus infections | 0.474853 |
| Enteric Virus Surveillance | 0.390737 |
| Illness Surveillance Network | 0.389802 |
| influenza vaccination | 0.541785 |
| Sporadic influenza activity | 0.503437 |
| influenza virus circulation | 0.464627 |
| influenza activity update | 0.504592 |
| ILI activity | 0.383874 |
| influenza viruses | 0.700389 |
| influenza antiviral treatment | 0.496742 |
| attenuated influenza vaccine | 0.493733 |
| influenza deaths | 0.436731 |
| influenza virus | 0.618668 |
| illness onset | 0.308977 |
|
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Centers for Disease Control and Prevention |
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Frequently Asked Questions - Yellow Fever |
Basic information about Yellow fever. |
| South America | 0.365996 |
| vaccine recommendations | 0.370129 |
| peak mosquito | 0.328557 |
| EPA-registered repellent | 0.33172 |
| FDA-approved yellow fever | 0.439857 |
| Mosquito repellents | 0.328759 |
| repellent containing permethrin | 0.352845 |
| Wear proper clothing | 0.33678 |
| authorized yellow fever | 0.436783 |
| yellow fever virus | 0.601253 |
| pregnant women | 0.353713 |
| apparent adverse effects | 0.334902 |
| immune systems | 0.324137 |
| yellow fever vaccine | 0.763694 |
| severe form | 0.32619 |
| initial symptoms | 0.34 |
| Fever Vaccine Requirements | 0.44863 |
| Fever Vaccination Clinics | 0.400648 |
| severe cases | 0.326144 |
| International Health Regulations | 0.33473 |
| yellow fever vaccination | 0.562221 |
| yellow fever risk | 0.4472 |
| yellow fever | 0.918275 |
| long pants | 0.337754 |
| live virus vaccine | 0.389379 |
|
| U.S. travelers | 0.323554 |
| vaccine virus | 0.37872 |
| immune function | 0.32307 |
| incubation period | 0.322283 |
| severe headache | 0.325797 |
| subtropical areas | 0.324553 |
| yellow fever disease | 0.467348 |
| Insect Repellent | 0.331956 |
| fever virus transmission | 0.438002 |
| non-steroidal anti-inflammatory drugs | 0.338631 |
| people | 0.344676 |
| yellow discoloration | 0.378926 |
| peak biting times | 0.335982 |
| infected mosquito | 0.331816 |
| Vaccine Adverse Events | 0.38122 |
| short time outdoors | 0.337051 |
| lemon eucalyptus | 0.338982 |
| healthcare provider | 0.396413 |
| high fever | 0.392044 |
| Vaccine page | 0.374842 |
| healthcare workers | 0.322608 |
| general body aches | 0.344034 |
| severe illness | 0.325552 |
| brief period | 0.322494 |
|
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Preventing Chronic Disease | Chronic Condition Combinationsand Health Care Expenditures and Out-of-Pocket Spending BurdenAmong Adults, Medical Expenditure Panel Survey, 2009 and 2011 -CDC |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange on the very latest in chronic disease prevention, research findings, public health interventions, and the exploration of new theories and concepts.
|
| diabetes/heart disease | 0.33666 |
| health care expenditures | 0.958466 |
| health care spending | 0.21285 |
| chronic condition combinations | 0.473391 |
| mental health status | 0.376162 |
| high out-of-pocket spending | 0.326784 |
| average health care | 0.228334 |
| adults | 0.331814 |
| poverty status | 0.273938 |
| out-of-pocket spending | 0.570836 |
| total health care | 0.648104 |
|
| multiple chronic conditions | 0.22028 |
| chronic conditions | 0.922526 |
| out-of-pocket expenditures burden | 0.284467 |
| average total expenditures | 0.241446 |
| out-of-pocket spending burden | 0.435321 |
| following chronic conditions | 0.281431 |
| heart disease | 0.499045 |
| High out-of-pocket expenditures | 0.212503 |
| co-occurring chronic conditions | 0.25451 |
| obstructive pulmonary disease | 0.224409 |
| out-of-pocket health care | 0.216539 |
|
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Evaluation of a National Call Center and a Local Alerts System for Detection of New Cases of Ebola Virus Disease - Guinea,2014-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| active Ebola cases | 0.628019 |
| Ebola surveillance | 0.477456 |
| VHF database | 0.649387 |
| active prefectures | 0.507178 |
| time period | 0.48106 |
| prefecture alerts database | 0.496165 |
| local alerts databases | 0.472194 |
| match probability score | 0.476935 |
| local prefecture alerts | 0.491616 |
| center database | 0.551261 |
| sensitivity estimates | 0.492959 |
| low sensitivity | 0.502814 |
| local alerts | 0.78367 |
| local alerts database | 0.54621 |
| 2CDC Ebola Response | 0.492548 |
| epidemic setting | 0.47989 |
| sensitivity | 0.680889 |
| passive surveillance | 0.505169 |
| public health information | 0.571806 |
| Ebola virus disease | 0.506827 |
| Ebola epidemic | 0.509036 |
| national alert calls | 0.49316 |
| public health infrastructure | 0.48862 |
| Ebola case definition | 0.504755 |
| local alert numbers | 0.476467 |
|
| local alert lines | 0.47465 |
| Guinea | 0.474737 |
| prefectures | 0.585674 |
| local prefectures | 0.475694 |
| limited sensitivity | 0.47052 |
| Ebola cases | 0.760261 |
| prefecture health departments | 0.496722 |
| local alerts systems | 0.471476 |
| record linkage algorithm | 0.484663 |
| public health | 0.596826 |
| national call center | 0.921229 |
| new Ebola cases | 0.517883 |
| higher sensitivity estimate | 0.489911 |
| local alert calls | 0.484129 |
| alert calls | 0.655427 |
| Ebola detection | 0.474457 |
| equal sensitivity | 0.475329 |
| center sensitivity | 0.508904 |
| local public health | 0.497127 |
| sensitivity estimate | 0.536303 |
| Ebola case detection | 0.515241 |
| Ebola treatment units | 0.495683 |
| Ebola testing | 0.483243 |
| prefecture alert databases | 0.501869 |
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Opportunistic Infections | Living with HIV | HIV Basics | HIV/AIDS | CDC |
HIV can weaken your immune system. Learn more about illnesses called opportunistic infections that you should be on the lookout for. |
| Infectious Disease Society | 0.425672 |
| United States | 0.245652 |
| healthy immune systems | 0.390779 |
| protozoan parasite Cryptosporidium | 0.227498 |
| bacteria Mycobacterium tuberculosis | 0.255626 |
| Pneumocystis carinii pneumonia | 0.255384 |
| body | 0.337831 |
| Invasive cervical cancer | 0.223948 |
| spinal cord disease | 0.226421 |
| opportunistic infections | 0.44522 |
| active TB coughs | 0.228881 |
| abdominal pain | 0.227265 |
| HIV levels | 0.315945 |
| sexually transmitted infections | 0.230171 |
| immune systems | 0.687827 |
| acute HIV infection | 0.484572 |
| OIs | 0.316227 |
| HIV medications | 0.362516 |
| lungs | 0.311018 |
| healthcare professionals | 0.282181 |
| HIV Medicine Association | 0.533198 |
| care provider | 0.293403 |
| National Institutes | 0.280262 |
| Opportunistic Infection pages | 0.406674 |
|
| common OIs | 0.291872 |
| bacteria Streptococcus pneumoniae | 0.224381 |
| Mycobacterium kansasii | 0.239366 |
| weakened immune systems | 0.335468 |
| weight loss | 0.291905 |
| damaged immune systems | 0.478389 |
| brain | 0.234341 |
| CMV retinitis | 0.229583 |
| care provider perform | 0.228221 |
| people | 0.24813 |
| chronic HIV infection | 0.484928 |
| HIV treatment | 0.324688 |
| Mycobacterium avium complex | 0.245537 |
| lymph nodes | 0.290471 |
| progressive disseminated histoplasmosis | 0.227503 |
| contaminated food | 0.22385 |
| HIV-Infected Adults | 0.292567 |
| fungus Cryptococcus neoformans | 0.230751 |
| fungus Histoplasma capsulatum | 0.228776 |
| HIV Wasting | 0.276808 |
| specific OIs | 0.242651 |
| HIV infection | 0.931991 |
| lung infection | 0.289811 |
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