| 4423 |
Centers for Disease Control and Prevention |
Html |
en |
Diseases & Conditions A-Z Index - L |
CDC Diseases and Conditions A-Z Index |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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| 4971 |
Centers for Disease Control and Prevention |
Html |
en |
A comparison of depression and mental distress indicators, Rhode Island Behavioral Risk Factor Surveillance System, 2006 |
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| Island BRFSS data | 0.388599 |
| Risk Factor Surveillance | 0.543902 |
| mental distress | 0.747927 |
| clinical depression disorders | 0.412577 |
| HRQOL module | 0.403857 |
| mental health | 0.424771 |
| Alpert Medical School | 0.37786 |
| logistic regression | 0.396554 |
| Mental Health Data | 0.375717 |
| major depression | 0.408688 |
| Rhode Island adults | 0.414316 |
| higher depression rates | 0.400735 |
| Rhode Island Department | 0.462664 |
| severe depression | 0.387182 |
| mild depression | 0.387537 |
| population prevalence estimates | 0.389785 |
| Factor Surveillance System. | 0.38059 |
| mental health items | 0.375608 |
| PHQ-2 | 0.429454 |
| Behavioral Risk Factor | 0.542364 |
| depression prevalence | 0.528672 |
| Rhode Island cities | 0.406321 |
| health risk variables | 0.41671 |
| PHQ-8 current depression | 0.434619 |
| depression severity | 0.453782 |
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| depression severity status | 0.406988 |
| patient health questionnaire | 0.452369 |
| PHQ-8 | 0.504674 |
| risk variables | 0.4784 |
| prevalence estimates | 0.476066 |
| Rhode Island BRFSS | 0.494286 |
| 10-question depression | 0.392903 |
| current depression | 0.538554 |
| Island Behavioral Risk | 0.446158 |
| logistic regression modeling | 0.391343 |
| mental distress estimates | 0.390717 |
| Rhode Island | 0.94576 |
| multivariable logistic regression | 0.394724 |
| HRQOL indicators | 0.42631 |
| mental distress indicators | 0.432732 |
| frequent mental distress | 0.744322 |
| Rhode Island Behavioral | 0.45322 |
| BRFSS HRQOL indicators | 0.385034 |
| depression indicators | 0.402245 |
| Jana Earl Hesser | 0.397057 |
| Warren Alpert Medical | 0.376019 |
| depression prevalence estimates | 0.451383 |
| mental distress questions | 0.388574 |
| depression | 0.706532 |
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| 5795 |
Centers for Disease Control and Prevention |
Html |
en |
Benzyl chloride - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 7885 |
Centers for Disease Control and Prevention |
Html |
en |
Registered Mobile Device |
Learn More and Privacy Statement |
| needs | 0.352251 |
| list Skip | 0.781345 |
| CDC | 0.35971 |
| standard text messaging | 0.754461 |
| subscribers | 0.353698 |
| page options Skip | 0.922289 |
| project | 0.346524 |
| quick questions | 0.579056 |
| little information | 0.551834 |
|
| program | 0.399524 |
| wireless carrier | 0.554197 |
| message | 0.457084 |
| navigation Skip | 0.785284 |
| health tips | 0.576742 |
| terms | 0.346428 |
| following policies | 0.551562 |
| messages | 0.44094 |
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| 8910 |
Centers for Disease Control and Prevention |
Html |
en |
International Influenza Program Highlight: Laos and Nicaragua Protect High-Risk Persons from Influenza, with Help from Donor Coalition and CDC |
International highlight article: Laos and Nicaragua Protect High-Risk Persons from Influenza, with Help from Donor Coalition and CDC |
| seasonal flu vaccination | 0.708296 |
| flu surveillance | 0.307897 |
| United States | 0.213992 |
| flu vaccination sites | 0.424677 |
| flu vaccine | 0.914949 |
| cdc influenza division | 0.324029 |
| mild adverse events | 0.230428 |
| flu activity | 0.364492 |
| vaccine administration | 0.251166 |
| essential government workers | 0.211606 |
| flu vaccination program | 0.560888 |
| pregnant women | 0.507462 |
| influenza vaccination program | 0.333199 |
| pregnant woman | 0.233441 |
| Activities Annual Report | 0.201752 |
| vaccination campaign | 0.229267 |
| flu vaccination | 0.770411 |
| tried-and-true flu vaccine | 0.450178 |
|
| adverse events data | 0.223427 |
| health care workers | 0.212377 |
| field assessment training | 0.210589 |
| reduced shipping cost | 0.214465 |
| Laos | 0.312248 |
| health care | 0.218124 |
| World Health Organization | 0.378405 |
| influenza vaccines | 0.201943 |
| seasonal influenza | 0.265571 |
| CDC-facilitated flu vaccination | 0.491555 |
| influenza Division International | 0.242446 |
| adverse events | 0.385668 |
| influenza vaccination status | 0.309861 |
| American Health Organization | 0.212028 |
| Laos Field Epidemiology | 0.270573 |
| flu vaccination programs | 0.590743 |
| International Program assists | 0.202009 |
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| 9119 |
Centers for Disease Control and Prevention |
Html |
en |
Asthma - Asthma Call-back Survey Prevalence Tables |
Asthma Call-back Survey Prevalence Tables |
| Asthma Call-back Survey | 0.991109 |
| United States | 0.685106 |
| asthma management plan | 0.235364 |
| BRFSS Asthma Call-back | 0.997105 |
| active asthma | 0.351873 |
| active asthma status | 0.318016 |
| inactive asthma status | 0.235253 |
| live healthier lives | 0.203953 |
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| asthma attack | 0.201958 |
| asthma status | 0.415831 |
| state/territory | 0.363041 |
| percent | 0.321964 |
| current asthma status | 0.225313 |
| children | 0.319825 |
| current asthma | 0.270771 |
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| 9603 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Weight Status and Weight-Management Behaviors Among Philadelphia High School Students, 2007"2011 - CDC |
The prevalence of obesity among youth may be stabilizing and even declining in some areas of the United States. The objective of our study was to examine whether the stabilization in obesity prevalence among Philadelphia high school students was accompanied by changes in weight-management behaviors. |
| healthful weight-loss behaviors | 0.424165 |
| obesity rates | 0.461764 |
| data | 0.388505 |
| normal-weight male students | 0.388237 |
| vegetable consumption | 0.407283 |
| childhood obesity epidemic | 0.387788 |
| obese students | 0.44169 |
| weight- management behaviors | 0.402848 |
| significant differences | 0.439375 |
| self-reported weight status | 0.388787 |
| Risk Behavior Survey | 0.407427 |
| obese male students | 0.398599 |
| healthful weight management | 0.430671 |
| youth obesity epidemic | 0.384108 |
| poor weight-management behaviors | 0.390081 |
| youth obesity rates | 0.387945 |
| Youth Risk Behavior | 0.455838 |
| obesity prevalence | 0.41374 |
| health care professionals | 0.38414 |
| healthful weight-related behaviors | 0.39418 |
| extreme weight-management | 0.473217 |
| male students | 0.575613 |
| healthful weight-management behaviors | 0.453036 |
| study period | 0.443437 |
| overweight students | 0.389155 |
|
| obese female students | 0.401418 |
| regular physical activity | 0.390657 |
| in-weight management behaviors | 0.383026 |
| weight-management behaviors | 0.779059 |
| female students | 0.641976 |
| multivariable regression models | 0.402756 |
| United States | 0.416395 |
| significant changes | 0.382422 |
| television viewing | 0.381225 |
| diet pills | 0.415279 |
| extreme weight-management strategies | 0.446755 |
| overweight | 0.436195 |
| public health | 0.516529 |
| normal-weight female students | 0.391045 |
| community-based obesity prevention | 0.376659 |
| high school students | 0.921009 |
| physical activity | 0.686083 |
| Philadelphia high school | 0.45523 |
| extreme weight-management behaviors | 0.469876 |
| public health efforts | 0.398328 |
| childhood obesity | 0.487032 |
| screen time | 0.473055 |
| youth health behaviors | 0.400701 |
| weight perception | 0.40276 |
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| 10853 |
Centers for Disease Control and Prevention |
Html |
null |
Preventing Chronic Disease | Hypertension Prevalence, Awareness, Treatment, and Control and Sodium Intake in Shandong Province, China: Baseline Results From Shandong"Ministry of Health Action on Salt Reduction and Hypertension (SMASH), 2011 - CDC |
In China, population-based blood pressure levels and prevalence of hypertension are increasing. Meanwhile, sodium intake, a major risk factor for hypertension, is high. In 2011, to develop intervention priorities for a salt reduction and hypertension control project in Shandong Province (population 96 million), a cross-sectional survey was conducted to collect information on sodium intake and hypertension prevalence, awareness, treatment, and control. |
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| 12136 |
Centers for Disease Control and Prevention |
Html |
en |
Chikungunya Cases Identified Through Passive Surveillanceand Household Investigations - Puerto Rico, May 5-August 12,2014 |
Tyler M. Sharp, PhD1, Nicole M. Roth1, Jomil Torres, MS2, Kyle R. |
| Puerto Rico | 0.674867 |
| chikungunya diagnostic testing | 0.44923 |
| household investigations | 0.425495 |
| chikungunya surveillance | 0.527315 |
| asymptomatic CHIKV infection | 0.296311 |
| chikungunya virus | 0.459675 |
| chikungunya awareness | 0.420936 |
| passive dengue surveillance | 0.3745 |
| Puerto Rico Department | 0.316205 |
| DENV infection | 0.362416 |
| dengue case investigation | 0.319735 |
| clinician suspected chikungunya | 0.501283 |
| dengue patients | 0.447839 |
| high infection rates | 0.280641 |
| current CHIKV infection | 0.309955 |
| health care providers | 0.336255 |
| dengue cases | 0.311736 |
| health care professionals | 0.268777 |
| persistent joint pain | 0.271852 |
| San Juan | 0.274036 |
| severe dengue | 0.308701 |
| commonly reported symptoms | 0.292054 |
| Additional laboratory-positive chikungunya | 0.475079 |
| dengue patients††| 0.278093 |
|
| chikungunya patients | 0.724941 |
| severe manifestations | 0.286696 |
| CHIKV infection | 0.73645 |
| chikungunya sentinel surveillance | 0.447752 |
| medical care | 0.307864 |
| chikungunya | 0.928047 |
| Tyler M. Sharp | 0.295401 |
| laboratory-positive chikungunya case | 0.504182 |
| laboratory-positive chikungunya | 0.618909 |
| chikungunya epidemic | 0.46561 |
| Ae. aegypti mosquitoes | 0.2955 |
| chikungunya surveillance sites | 0.44617 |
| chikungunya cases | 0.927207 |
| acute febrile illness | 0.390361 |
| Fatal chikungunya cases | 0.454653 |
| laboratory-positive chikungunya cases | 0.567671 |
| locally acquired chikungunya | 0.594982 |
| dengue viruses | 0.287642 |
| illness onset | 0.322967 |
| recent DENV infection | 0.299365 |
| recent CHIKV infection | 0.455041 |
| passive surveillance | 0.34799 |
| laboratory-positive chikungunya patients | 0.606849 |
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| 13782 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Volume 7, Issue 42, October 20, 2015 |
Science Clips |
| Local health authorities | 0.59094 |
| HIV care service | 0.577797 |
| data | 0.614586 |
| emergency department visits | 0.675148 |
| diagnosed HIV infection | 0.580847 |
| inflammatory disease emergency | 0.577256 |
| training programs | 0.619363 |
| children | 0.590831 |
| HIV care continuum | 0.57649 |
| intensive care unit | 0.57559 |
| results | 0.602955 |
| patients | 0.576176 |
| HIV medical care | 0.58871 |
| HIV treatment failure | 0.576666 |
| human parainfluenza virus-1 | 0.598997 |
| emergency response personnel | 0.600339 |
| human parainfluenza virus-4 | 0.576614 |
| human parainfluenza virus-3 | 0.576654 |
| health survey data | 0.584912 |
| total percent change | 0.650815 |
| human immunodeficiency virus | 0.696418 |
| P&S syphilis | 0.588407 |
| health support services | 0.575551 |
| human parainfluenza virus | 0.616931 |
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| drug resistance | 0.582863 |
| women | 0.595455 |
| Ebola virus disease | 0.594897 |
| treatment | 0.588593 |
| pertussis-positive infants | 0.582492 |
| United States | 0.822497 |
| annual percent change | 0.653347 |
| ED visits | 0.623252 |
| National HIV Surveillance | 0.574502 |
| white non-Hispanic MSM | 0.590558 |
| P&S syphilis diagnosis | 0.587296 |
| public health professionals | 0.584779 |
| public health | 0.622602 |
| human parainfluenza | 0.670524 |
| ACSC ED visits | 0.590244 |
| inflammatory disease diagnoses | 0.577184 |
| pelvic inflammatory disease | 0.907889 |
| inflammatory disease diagnosis | 0.596484 |
| HIV surveillance data | 0.588486 |
| non-US born residents | 0.616211 |
| rectal ct | 0.588077 |
| HIV infection | 0.704845 |
| annual HIV incidence | 0.585483 |
| HIV care services | 0.578849 |
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