| 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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| 4784 |
Centers for Disease Control and Prevention |
Html |
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CDC - 2010 Haiti Cholera Outbreak - Cholera: Diagnosis and Treatment in Haiti |
CDC - Global Health |
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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 |
null |
| 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 |
|
| 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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CLICK HERE |
| 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 |
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| 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 |
|
| 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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| 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 |
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| 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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Centers for Disease Control and Prevention |
Html |
en |
Sick Days | Managing | Diabetes |
cdc, diabetes, sick days, sick, advice, resources, guidance, what to do, eat, managing |
| yogurt | 0.339094 |
| medicines | 0.385348 |
| fact | 0.330656 |
| urine | 0.338215 |
| health care provider | 0.805551 |
| ounces | 0.341569 |
| food choices | 0.4637 |
| box | 0.332864 |
| emergency room | 0.459487 |
| recovery | 0.337085 |
| ketones | 0.34562 |
| carbohydrate | 0.336654 |
| sweet beverages | 0.462318 |
| ice cream | 0.473685 |
| ways | 0.332784 |
| good written records | 0.594246 |
| things | 0.372691 |
| Good choices | 0.485421 |
| dehydration | 0.340428 |
|
| pitcher | 0.336687 |
| grams | 0.338831 |
| energy | 0.33386 |
| hand | 0.333297 |
| fluids | 0.332804 |
| portions | 0.331445 |
| family members | 0.481828 |
| easy-to-fix foods | 0.472107 |
| milk | 0.331019 |
| plenty | 0.33221 |
| blood sugar levels | 0.657975 |
| friends | 0.332857 |
| blood glucose monitoring | 0.634129 |
| toast | 0.338409 |
| diabetes medicine | 0.467987 |
| medical team | 0.647885 |
| blood sugar | 0.919268 |
| non-caloric drink | 0.515106 |
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Centers for Disease Control and Prevention |
Html |
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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 |
|
| 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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