| 4428 |
Centers for Disease Control and Prevention |
Html |
en |
Diseases & Conditions A-Z Index - Q |
CDC Diseases and Conditions A-Z Index |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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CLICK HERE |
| 5396 |
Centers for Disease Control and Prevention |
Html |
es |
Control de la diabetes en los días calurosos y al viajar |
Controle su diabetes aun cuando esté de vacaciones. Planifique para tener un viaje sin estrés y de acuerdo con sus necesidades médicas. En todos sus viajes, mantenga su rutina de cuidados. |
| glucosa baje | 0.726708 |
| Archivo Apple Quicktime | 0.720212 |
| Archivo Zip Comprimido | 0.716954 |
| Averigüe dónde | 0.665314 |
| consigo alimentos | 0.665486 |
| Archivo Microsoft PowerPoint | 0.737824 |
|
| Archivo Adobe PDF | 0.719136 |
| Archivo Microsoft Excel | 0.71746 |
| pequeña nevera | 0.674121 |
| Archivo Microsoft | 0.918376 |
| seguro médico | 0.654435 |
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| 7637 |
Centers for Disease Control and Prevention |
Html |
en |
Diabetes and Pregnancy, My Story |
Diabetes is often diagnosed in women during their childbearing years and can affect the health of both the mother and her unborn child. |
| fertility doctor | 0.621177 |
| insulin | 0.451785 |
| OB’s office | 0.629758 |
| numbers | 0.566409 |
| title | 0.454105 |
| body | 0.454014 |
| birth defects. | 0.631973 |
| times | 0.486199 |
| pregnant women | 0.660119 |
| healthy baby boy | 0.752172 |
| Diabetic | 0.472301 |
| hopes | 0.446745 |
| healthy lifestyle | 0.602186 |
| nearly full term | 0.623825 |
| deep breath | 0.623252 |
| Contact CDC-INFO | 0.596319 |
|
| happy news | 0.635781 |
| test | 0.445673 |
| pregnancy | 0.560349 |
| shock | 0.44934 |
| control | 0.496759 |
| initial appointment | 0.621586 |
| joke | 0.445866 |
| ultrasound | 0.444755 |
| baby’s heart | 0.598829 |
| baby | 0.837435 |
| information | 0.445542 |
| risk | 0.4438 |
| diabetes | 0.915608 |
| sugar | 0.445165 |
| personal story | 0.608677 |
| child | 0.44734 |
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| 7694 |
Centers for Disease Control and Prevention |
Html |
en |
Most Popular Pages on CDC.gov - eHealth Metrics Dashboard |
CDC.gov Web Metrics Dashboard. Key performance indicators and data for CDC’s Web site, Social Media, and Campaigns. CDC is sharing this data as part of the agency’s commitment to transparent government. |
| specific pages | 0.392998 |
| public health issues | 0.761002 |
| news announcements | 0.436557 |
| emergency outbreaks | 0.510073 |
| CDC.gov stays | 0.499293 |
| page views | 0.451185 |
|
| promotional efforts | 0.453837 |
| specific topical content | 0.800211 |
| press releases | 0.43825 |
| public awareness | 0.413781 |
| Popular Pages report | 0.891061 |
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CLICK HERE |
| 7987 |
Centers for Disease Control and Prevention |
Html |
en |
Ciguatera Fish Poisoning - New York City, 2010-2011 |
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. |
| CFP diagnosis | 0.637032 |
| ciguatera fish poisoning | 0.479552 |
| NYC CFP cases | 0.661124 |
| public health authorities | 0.429807 |
| New York City | 0.709673 |
| CFP occurrence | 0.587468 |
| CFP outbreaks | 0.696446 |
| CFP outbreak | 0.671322 |
| FDA guidance level | 0.496813 |
| CFP endemic areas | 0.741471 |
| Public Health Prevention | 0.433116 |
| CFP cases | 0.793515 |
| barracuda-related CFP outbreak | 0.65688 |
| multiple CFP cases | 0.642207 |
| NYC Poison Control | 0.424634 |
| New York State | 0.442035 |
| patients experience symptoms | 0.420877 |
| tropical reef fish | 0.473113 |
| York City Dept | 0.494541 |
| NYC health-care providers | 0.424048 |
| fish species | 0.497946 |
| different NYC boroughs | 0.422178 |
| CFP symptoms | 0.660553 |
| CFP results | 0.643994 |
| single case | 0.46919 |
|
| reef fish | 0.505951 |
| coral reef fish | 0.448619 |
| CFP prevention | 0.718195 |
| health-care providers | 0.519369 |
| CFP | 0.976268 |
| high-risk fish species | 0.475891 |
| CFP signs | 0.640826 |
| fish market | 0.494849 |
| CFP reports | 0.584013 |
| public health | 0.471165 |
| New York | 0.791963 |
| previously reported cases | 0.469919 |
| fish species identification | 0.45098 |
| acute CFP symptoms | 0.656172 |
| total C-CTX-1 equivalents | 0.583546 |
| ТЕg/kg total C-CTX-1 | 0.582975 |
| toxic fish | 0.441583 |
| CFP risks | 0.579571 |
| York City Department | 0.439251 |
| neurologic symptoms | 0.477198 |
| CFP-implicated fish traceback | 0.450709 |
| fish | 0.643999 |
| fish monitoring programs | 0.469187 |
| individual state CFP | 0.626855 |
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| 9099 |
Centers for Disease Control and Prevention |
Html |
en |
About CDC Home Page |
Learn more about CDC's mission, leadership and important public health work to protect you 24-7. |
| Zika outbreak | 0.47998 |
| health threats | 0.6724 |
| United States | 0.463191 |
| laboratory workers | 0.434264 |
| mosquito-borne spread | 0.504317 |
| Human Services | 0.449127 |
| Charts | 0.239162 |
| vital public health | 0.674673 |
| responders | 0.260379 |
| research | 0.238488 |
| Department | 0.239793 |
| world | 0.277039 |
| Official Mission Statements/Organizational | 0.65283 |
| Children | 0.246192 |
| health hazards | 0.525577 |
| Agency’s team | 0.436046 |
| cases | 0.24115 |
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| stories | 0.238478 |
| CDC laboratories | 0.747685 |
| CDC Health Scientist | 0.96502 |
| epidemic | 0.260766 |
| Ebola Fever Virus | 0.784105 |
| CDC′s organizational structure | 0.648014 |
| devastating health effects | 0.718816 |
| people | 0.313111 |
| View CDC | 0.754849 |
| extensive laboratory guidelines | 0.635815 |
| early childhood | 0.489958 |
| West Africa | 0.463697 |
| major operating components | 0.660574 |
| investigation | 0.242239 |
| outbreaks | 0.254419 |
| 24/7 | 0.238363 |
| deadly germs | 0.485646 |
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| 9692 |
Centers for Disease Control and Prevention |
Html |
es |
La biografía de Beatrice - La historia de Beatrice - Historias de la vida real - Consejos de exfumadores |
Beatrice, mamá de dos varones, vive en Nueva York. Probó su primer cigarrillo a los 7 años, su segundo a los 11 y luego comenzó a fumar en forma habitual a los 13. Su historia completa es parte de la campaña de los CDC Consejos de exfumadores. |
| Archivo Apple Quicktime | 0.720986 |
| Archivo RealPlayer | 0.60699 |
| Archivo Zip Comprimido | 0.716293 |
| Nueva York | 0.610652 |
|
| Archivo Microsoft PowerPoint | 0.747402 |
| Archivo Adobe PDF | 0.719692 |
| Archivo Microsoft Excel | 0.717706 |
| Archivo Microsoft | 0.988505 |
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| 11417 |
Centers for Disease Control and Prevention |
Html |
null |
Brochures | Campaign Materials | We Can Stop HIV One Conversation | Campaigns | Act Against AIDS |
Promotional booklet with an overview of One Conversation at a Time, CDC’s first national effort to encourage Hispanic/Latino families, friends, and communities to talk openly about HIV |
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| 11498 |
Centers for Disease Control and Prevention |
Html |
en |
ELISA Software for Bioassays | Manual | Calculate Concentrations |
Module 6 of the ELISA for Windows user's manual: Calculate Concentrations. |
| concentration calculations | 0.687581 |
| software | 0.533188 |
| chapters | 0.534248 |
| antibody concentrations | 0.741833 |
| antibody units/ml | 0.713976 |
| mass values | 0.665818 |
| µg/ml | 0.531723 |
| quality control samples | 0.805043 |
| logit-log scale | 0.662033 |
| Windows | 0.527675 |
| standard point | 0.645818 |
| unknown curves | 0.660903 |
| example | 0.565617 |
| Questions | 0.53168 |
| results | 0.527575 |
| CDC-INFO | 0.531601 |
|
| absorbance | 0.546395 |
| twofold serial dilutions | 0.83645 |
| idealized standard curve | 0.808016 |
| documentation | 0.533139 |
| module | 0.529525 |
| standard reference serum | 0.828303 |
| list | 0.534282 |
| calibration factor | 0.65624 |
| patient serum samples | 0.997197 |
| Figure | 0.564456 |
| diagram | 0.577558 |
| parameter logistic-log fit | 0.801893 |
| Note | 0.532251 |
| e.g. | 0.551149 |
| actual calculations | 0.671371 |
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| 15458 |
Centers for Disease Control and Prevention |
Html |
en |
HIV/AIDS | Gay and Bisexual Men's Health | CDC |
Learn more about HIV/AIDS risk, HIV Testing, and prevention efforts among MSM. |
| STD testing site | 0.512926 |
| HIV virus | 0.577852 |
| number | 0.42825 |
| viral load | 0.522913 |
| HIV-negative partner | 0.4957 |
| anal sex | 0.764248 |
| Visit Act | 0.460442 |
| male partner | 0.468624 |
| post-exposure prophylaxis | 0.466023 |
| sex partner | 0.473036 |
| viruses | 0.414411 |
| oral sex | 0.628609 |
| AIDS | 0.447509 |
| ongoing sexual relationship | 0.605085 |
| body fluids | 0.524172 |
| HIV-positive partner | 0.526205 |
| HIV risk | 0.598863 |
| HIV antiretroviral treatment | 0.633445 |
| his/her viral load | 0.504002 |
| right medical treatment | 0.514847 |
| chances | 0.519785 |
| long-term health consequences | 0.507763 |
| human immunodeficiency virus | 0.533949 |
| syringes | 0.415285 |
| condoms | 0.431407 |
|
| sex partners | 0.50986 |
| United States | 0.47627 |
| antiretroviral therapy | 0.462842 |
| sexual activities | 0.461561 |
| receptive anal sex | 0.67126 |
| life | 0.416251 |
| rinse water | 0.473027 |
| immunodeficiency syndrome | 0.548603 |
| exclusive relationship | 0.456388 |
| flu-like symptoms | 0.467456 |
| chance | 0.478038 |
| sex | 0.780213 |
| initial infection | 0.467006 |
| vaginal sex | 0.647671 |
| human body | 0.4683 |
| people | 0.466124 |
| possible exposure | 0.506841 |
| highest-risk sexual behavior | 0.616439 |
| HIV | 0.993958 |
| STDs | 0.448904 |
| PEP | 0.426464 |
| time | 0.424792 |
| insertive anal sex | 0.574109 |
| injectable drugs | 0.467045 |
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CLICK HERE |