| 4604 |
Centers for Disease Control and Prevention |
Html |
en |
Division of Parasitic Diseases - Toxocara Infection |
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. |
| DPDx | 0.280262 |
| Various stages | 0.427462 |
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| list Skip | 0.753718 |
| CDC | 0.258998 |
| page options Skip | 0.968143 |
| Neglected Parasitic Infections | 0.770559 |
| larvae | 0.266624 |
| navigation Skip | 0.763486 |
|
| larva hatching | 0.482079 |
| cats | 0.238546 |
| Credit | 0.238268 |
| Toxocara roundworms | 0.806171 |
| species | 0.239329 |
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| public health action | 0.60938 |
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| 5223 |
Centers for Disease Control and Prevention |
Html |
en |
Report to Nation Finds Continued Declines in Many Cancer Rates - Press Release: March 31, 2011 |
Report to Nation Finds Continued Declines in Many Cancer Rates |
| new cancers | 0.441877 |
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| American Cancer Society | 0.757872 |
| Special Feature section | 0.556789 |
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| cancer incidence rates | 0.699008 |
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| non-malignant brain tumors | 0.642693 |
| commonly diagnosed cancer | 0.514424 |
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| overall cancer incidence | 0.590081 |
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| incidence rates | 0.882209 |
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| cancers | 0.520228 |
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| brain tumor incidence | 0.510471 |
| National Cancer Program | 0.51527 |
| United States | 0.518558 |
|
| latest Annual Report | 0.469431 |
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| National Cancer Institute | 0.775625 |
| cancer burden | 0.472362 |
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| male incidence rates | 0.549027 |
| central cancer registries | 0.838139 |
| childhood brain tumors | 0.525182 |
| Breast cancer | 0.457283 |
| adult brain tumors | 0.528595 |
| oral cavity cancers | 0.490899 |
| lung cancer deaths | 0.526861 |
| cancer site | 0.463087 |
| Central Brain Tumor | 0.453314 |
| lung cancer death | 0.579582 |
| overall incidence rates | 0.537957 |
| highest incidence rates | 0.537504 |
| cancer | 0.930265 |
| cancer biology | 0.447765 |
| Cancer Prevention | 0.500728 |
| new cancer | 0.498631 |
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| 5262 |
Centers for Disease Control and Prevention |
Html |
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Health Literacy - Introduction |
Provides an overview of the web site purpose and content |
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CLICK HERE |
| 9337 |
Centers for Disease Control and Prevention |
Html |
es |
Factores de riesgo de depresión, diabetes y enfermedades crónicas en mujeres estadounidenses en edad de procrear |
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| breve lapso | 0.991871 |
| Bansil P | 0.741714 |
| Dietz PM | 0.762339 |
| Hayes DK | 0.767674 |
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| Bitsko RH | 0.748104 |
| Farr SL | 0.768547 |
| factores riesgo | 0.799511 |
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| 9964 |
Centers for Disease Control and Prevention |
Html |
en |
Tom Chiller | Conversations with the Director | CDC Director | CDC |
The CDC Director’s webpage offers information on Dr. Thomas Frieden, who became the agency’s 16th director in June 2009. The pages features information on Dr. Frieden’s Weekly Focus, the Latest from Dr. Frieden (his RSS feed), and links to his bio, statements, videos, press releases, media appearances, photos, presentations, and speeches. |
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| 10363 |
Centers for Disease Control and Prevention |
Html |
en |
Daniel B. Jernigan, MD, MPH (CAPT, USPHS) | CDC Spokesperson | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| influenza | 0.617951 |
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| United States | 0.556589 |
| 151-7. doi | 0.474886 |
| Finelli L. Estimates | 0.48517 |
| MMWR Morb Mortal | 0.471106 |
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| Bresee JS | 0.483999 |
| response. Clin Infect | 0.52549 |
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| Cox NJ | 0.471109 |
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| e1-5. doi | 0.464421 |
| respiratory TaqMan Array | 0.471683 |
| S4-S11. doi | 0.468364 |
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| commercial multi-pathogen assays | 0.470258 |
| Variant Influenza | 0.50959 |
| Jhung MA | 0.481116 |
| Clin Virol. | 0.476377 |
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| 85-91. doi | 0.46594 |
| Dr. Daniel Jernigan | 0.615492 |
| Clin Infect Dis. | 0.785113 |
| Influenza Other Respi | 0.500674 |
| influenza epidemics | 0.503566 |
| Clin Microbiol. | 0.470827 |
| J. Estimated influenza | 0.547611 |
| Influenza Division | 0.526329 |
| Finelli L. Influenza | 0.559713 |
| Jernigan DB. Novel | 0.574442 |
| influenza viruses | 0.500493 |
| Jernigan DB | 0.912054 |
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| 2009 pandemic | 0.491753 |
| et al | 0.515748 |
| 864-9. doi | 0.466875 |
| 27-33. doi | 0.471122 |
| Swerdlow DL | 0.47976 |
| 361-71. doi | 0.473003 |
| influenza vaccine virus | 0.533265 |
| MMWR Recomm Rep. | 0.470324 |
| Annu Rev Med. | 0.469195 |
| Emerg Infect Dis | 0.497539 |
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| 10665 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Cardiovascular Disease Risk Among the Mexican American Population in the Texas-Mexico Border Region, by Age and Length of Residence in United States - CDC |
Although the relationship between health behaviors and outcomes such as smoking and obesity with longer residence in the United States among Mexican American immigrants is established, the relationship between length of residency in the United States and risk for cardiovascular disease (CVD) is not fully understood. The objective of this study was to determine the relationship between immigrant status, length of residence in the United States, age, and CVD markers in a sample of Mexican American adults living in Brownsville, Texas. |
| worse CVD risk | 0.512246 |
| higher prevalence | 0.56979 |
| young adult | 0.542057 |
| systolic blood pressure | 0.546141 |
| total cholesterol | 0.491769 |
| Texas–Mexico border region | 0.569587 |
| Texas Health Science | 0.5072 |
| US-born Mexican Americans | 0.560923 |
| high cholesterol | 0.52689 |
| diastolic blood pressure | 0.546194 |
| CVD risk | 0.535153 |
| CVD biological risk | 0.51442 |
| residence | 0.558385 |
| self-reported CVD events | 0.522632 |
| health behaviors | 0.551964 |
| blood pressure | 0.667923 |
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| Mexican Americans | 0.671234 |
| longer residence | 0.505775 |
| age groups | 0.506981 |
| CVD | 0.608116 |
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| low socioeconomic status | 0.49768 |
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|
| study | 0.525208 |
| Public Health | 0.493789 |
| United States | 0.958391 |
| age group | 0.542454 |
| self-reported high blood | 0.495629 |
| low-density lipoprotein cholesterol | 0.492743 |
| CVD biomarker | 0.547002 |
| short-term immigrants | 0.623084 |
| Mexican American men | 0.499542 |
| risk factor profiles | 0.49325 |
| self-reported conditions | 0.543832 |
| CVD markers | 0.541781 |
| non-Hispanic whites | 0.498778 |
| long-term immigrants | 0.591634 |
| self-reported chronic conditions | 0.554299 |
| young adult group | 0.497732 |
| CVD biomarker profiles | 0.508583 |
| CVD biomarkers | 0.569617 |
| immigrant Mexican Americans | 0.498605 |
| Mexican American immigrants | 0.666452 |
| Hispanic immigrants | 0.521818 |
| Health Science Center | 0.506396 |
| high blood pressure | 0.526092 |
| socioeconomic status | 0.576248 |
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| 12718 |
Centers for Disease Control and Prevention |
Video |
en |
The Story of Folic Acid Fortification |
The video documents the compelling story of how Folic Acid fortification has become a staple in the lives of women of child-bearing age everywhere to protect their babies from developing major birth defects such as spina bifida and anencephaly that are either fatal or have serious, long-term consequences for the child. The documentary short chronicles how spina bifida F could be the next major health problem eradicated after smallpox and polio.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://www.cdc.gov/cdctv/FolicAcid/ |
| Folic Acid Fortification | 0.933821 |
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| 13832 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Primary Amebic MeningoencephalitisAssociated with Hot Spring Exposure During International Travel -Seminole County, Florida, July 2014 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| real-time polymerase chain | 0.503848 |
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| presumptive diagnosis | 0.419324 |
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| N. fowleri | 0.938584 |
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| Seminole County | 0.510326 |
| Health Protection | 0.425896 |
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| nasal mucosa | 0.462305 |
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| northern United States | 0.499814 |
| low grade fever | 0.507823 |
| nasal insufflation | 0.440175 |
| frontal lobes | 0.429615 |
| cerebral spinal fluid | 0.49567 |
| free-living ameba | 0.546569 |
| Swannie Jett | 0.429359 |
| Health care professionals | 0.51689 |
| CSF specimen | 0.457579 |
| olfactory nerves | 0.423153 |
| PAM infection | 0.468204 |
| illness onset | 0.489955 |
| high mortality rate | 0.480594 |
| nasal irrigation | 0.450559 |
|
| antiparasitic drug | 0.41698 |
| Tania Slade | 0.421669 |
| investigational drug | 0.420461 |
| United States | 0.554602 |
| primary amebic meningoencephalitis | 0.53687 |
| Tania A. Slade | 0.556132 |
| routine tests | 0.416868 |
| water slide | 0.421419 |
| Mirna Chamorro | 0.413355 |
| Costa Rica | 0.503233 |
| clinically compatible illness | 0.487012 |
| Dean Bodager MPA2 | 0.526704 |
| ameba activity | 0.416074 |
| hot springs | 0.510159 |
| Naegleria fowleri | 0.532384 |
| Florida Department | 0.878191 |
| fresh water body | 0.519245 |
| nasal cavity | 0.455821 |
| fresh water bodies | 0.542421 |
| fresh water exposure | 0.51186 |
| motile ameba | 0.549215 |
| fresh water | 0.696748 |
| Benjamin G. Klekamp | 0.495943 |
| PAM | 0.486881 |
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| 15796 |
Centers for Disease Control and Prevention |
Html |
en |
Chronic Disease Disparities by County Economic Status andMetropolitan Classification, Behavioral Risk Factor SurveillanceSystem, 2013 |
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 of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| capita market income | 0.565374 |
| data | 0.400523 |
| public health interventions | 0.5137 |
| health insurance | 0.460099 |
| prevalence ratio | 0.410688 |
| highest prevalence | 0.395175 |
| higher prevalence | 0.506589 |
| Risk Factor Surveillance | 0.401198 |
| health outcomes | 0.531609 |
| poorest counties | 0.49673 |
| self-rated health | 0.47259 |
| current cigarette smoking | 0.389912 |
| risk factors | 0.606058 |
| poor health outcomes | 0.472404 |
| gradient-related health outcomes | 0.394436 |
| health care services | 0.466509 |
| body mass index | 0.504107 |
| hypertension prevalence | 0.401407 |
| self-rated health status | 0.402031 |
| health status | 0.411017 |
| poor self-rated health | 0.417392 |
| respondents | 0.396111 |
| arthritis | 0.48954 |
| chronic disease | 0.62651 |
| counties | 0.660112 |
|
| Behavioral Risk Factor | 0.401263 |
| specific health outcomes | 0.440605 |
| poor counties | 0.596564 |
| prevalence ratios | 0.389779 |
| United States | 0.49311 |
| poor health | 0.858458 |
| social gradient | 0.403684 |
| prevalence | 0.559048 |
| health risk factors | 0.39087 |
| economic status | 0.980003 |
| county economic status | 0.960531 |
| multivariable logistic regression | 0.454836 |
| economic county group | 0.403928 |
| chronic diseases | 0.438446 |
| nonmetropolitan counties | 0.466549 |
| community-delivered public health | 0.414354 |
| metropolitan classification | 0.511074 |
| physical activity | 0.529025 |
| household income | 0.394376 |
| leisure-time physical activity | 0.397864 |
| contiguous United States | 0.388824 |
| affluent counties | 0.519571 |
| metropolitan counties | 0.436635 |
| chronic disease prevalence | 0.464313 |
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CLICK HERE |