| 652 |
Centers for Disease Control and Prevention |
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Health Effects - Smoking & Tobacco Use |
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| Cancers Associated | 0.546246 |
| State-Specific Smoking-Attributable Mortality | 0.901229 |
| Lung Cancer | 0.850219 |
| Vital Signs | 0.554858 |
| email address | 0.774678 |
| Smoke-Free Ordinance—City | 0.567166 |
| Potential Life | 0.757732 |
| Potential Life Lost | 0.71161 |
| SS08 | 0.340599 |
| Implementation | 0.339996 |
| State-Specific Trends | 0.658064 |
| Reduced Hospitalizations | 0.590322 |
| Life Lost—United States | 0.768026 |
| PPT | 0.362687 |
| Colorado | 0.339826 |
| DOC | 0.341225 |
| Smoking Attributable Mortality | 0.818862 |
| Secondhand Smoke—United States | 0.788835 |
|
| email updates | 0.777184 |
| MPEG | 0.344492 |
| Lung Cancer Incidence—38 | 0.797905 |
| Pueblo | 0.348839 |
| Geographic Differences | 0.561667 |
| Nonsmokers | 0.37058 |
| Exposure | 0.343098 |
| different file formats | 0.724783 |
| No. | 0.589459 |
| Acute Myocardial Infarction | 0.804796 |
| Lung Cancer Incidence | 0.845939 |
| Productivity Losses—United States | 0.729594 |
| Vol. | 0.618764 |
| Columbia | 0.342724 |
| Tobacco Use†| 0.562299 |
| Smoking—United States | 0.596671 |
| Racial/Ethnic Disparities | 0.590825 |
|
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| 1018 |
Centers for Disease Control and Prevention |
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MMWR - Cigarette Smoking Among Adults and Trends in Smoking Cessation - Smoking & Tobacco Use |
CDC's Office on Smoking and Health offers information related to smoking and tobacco use. |
| federal poverty level | 0.583691 |
| proportion | 0.398647 |
| adults | 0.672129 |
| certificate | 0.332573 |
| adult cigarette smoking | 0.628171 |
| blacks | 0.334724 |
| prevalence | 0.74167 |
| whites | 0.332004 |
| everyday smokers | 0.469832 |
| current cigarette smokers | 0.969577 |
| undergraduate degrees | 0.571409 |
| lowest smoking prevalence | 0.738149 |
| decline | 0.33849 |
| graduate degrees | 0.559776 |
| Healthy People | 0.457709 |
| ratios | 0.333552 |
| Asians | 0.337639 |
|
| racial/ethnic groups | 0.594269 |
| Subpopulations | 0.332272 |
| Alaska Natives | 0.47264 |
| GED | 0.388866 |
| U.S. adults | 0.632075 |
| lifetimes | 0.337496 |
| General Educational Development | 0.611922 |
| significantly higher prevalence | 0.674666 |
| American Indians | 0.467385 |
| 10.6 | 0.331293 |
| graduate degree | 0.460261 |
| different racial/ethnic groups | 0.58956 |
| high school diploma | 0.777264 |
| cigarettes | 0.331304 |
| overall quit ratio | 0.582047 |
| past decade | 0.48045 |
| Hispanics | 0.337481 |
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| 5292 |
Centers for Disease Control and Prevention |
Html |
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After a Flood|Floods |
Information on floods. Provided by the Centers for Disease Control and Prevention (CDC). |
| gas-powered equipment indoors | 0.842911 |
| Carbon Monoxide Poisoning | 0.831261 |
| Electrical Hazards | 0.757659 |
| flood recovery | 0.762118 |
| hazardous chemical containers | 0.80301 |
| shallow water | 0.749138 |
| main gas valve | 0.868443 |
| improper connection | 0.732 |
| gas grill | 0.729081 |
| propane tanks | 0.945165 |
| state health departments | 0.813307 |
| Chemical Emergencies Web | 0.816434 |
| normal storage places | 0.80395 |
| circuit breaker | 0.733045 |
| shallow standing water | 0.847493 |
| battery-powered flashlights | 0.75011 |
| mold | 0.78151 |
| extreme caution | 0.834044 |
| downed power lines | 0.850756 |
| metal fragments | 0.728092 |
| certified electrician check | 0.842373 |
| gas lanterns | 0.763427 |
| flood waters | 0.856244 |
| household propane tanks | 0.827059 |
| health department determine | 0.811306 |
|
| Reentering Your Flooded | 0.738348 |
| communicable diseases | 0.724547 |
| 20-lb. tanks | 0.724987 |
| standing water | 0.962385 |
| electrical charge | 0.742804 |
| power generators | 0.730468 |
| line workers | 0.727627 |
| gas company | 0.754353 |
| puncture wound | 0.725161 |
| State Fire Marshal | 0.858964 |
| flood water | 0.797203 |
| major fire hazard | 0.725613 |
| toxic vapors | 0.722651 |
| automatic-interrupt devices | 0.729536 |
| electrical codes | 0.762902 |
| frayed wiring | 0.736858 |
| water problem | 0.752544 |
| Electrical power | 0.785757 |
| potential chemical hazards | 0.813029 |
| Dry your home | 0.736048 |
| natural gas | 0.757922 |
| utility company | 0.729593 |
| electrical circuits | 0.833911 |
| electrical equipment | 0.833238 |
|
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| 5543 |
Centers for Disease Control and Prevention |
Html |
en |
Thioglycolic acid - 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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| 5799 |
Centers for Disease Control and Prevention |
Html |
en |
Sodium fluoride (as F) - 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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| 6323 |
Centers for Disease Control and Prevention |
Html |
en |
The predicted impact of heart disease prevention and treatment initiatives on mortality in Lithuania, a middle-income country. |
null |
| stable heart disease | 0.594529 |
| composite potential PPD | 0.566997 |
| data | 0.559187 |
| chronic heart disease | 0.570765 |
| LVEF | 0.560259 |
| symptomatic heart disease | 0.758192 |
| acute events | 0.580905 |
| Lithuanian mortality registry | 0.557087 |
| potentially postponable deaths | 0.655985 |
| heart failure | 0.593725 |
| blood pressure | 0.58533 |
| plausible range | 0.720694 |
| patients | 0.578828 |
| analysis | 0.56858 |
| composite PPD | 0.606101 |
| population | 0.601629 |
| upper bound PPD | 0.563707 |
| death rates | 0.577177 |
| blood pressure level | 0.571346 |
| unstable angina | 0.563782 |
| intervention | 0.561149 |
| United States | 0.655033 |
| PPD | 0.616725 |
| adequate physical activity | 0.619652 |
|
| out-of-hospital cardiac arrest | 0.591592 |
| ambulatory setting | 0.563024 |
| lower bound PPD | 0.564267 |
| Kaunas University Hospital | 0.593992 |
| maximum plausible PPD | 0.578429 |
| total mortality | 0.568704 |
| heart disease | 0.926116 |
| acute heart failure | 0.575845 |
| acute cardiac events | 0.559352 |
| Lithuanian population | 0.565199 |
| cardiovascular disease | 0.565659 |
| angina/other heart disease | 0.564242 |
| largest PPD | 0.614955 |
| people | 0.573757 |
| apparent heart disease | 0.743981 |
| heart disease risk | 0.575869 |
| mortality rate | 0.571757 |
| heart disease prevention | 0.595801 |
| Thomas E. Kottke | 0.562974 |
| interventions | 0.565077 |
| heart disease continuum | 0.572715 |
| mortality | 0.614966 |
| ventricular ejection fraction | 0.558535 |
| coronary heart disease | 0.590391 |
|
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| 8375 |
Centers for Disease Control and Prevention |
Html |
null |
Especiales - Folic Acid Quiz - NCBDDD |
null |
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CLICK HERE |
| 9156 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Preventable Hospitalizations and Emergency Department Visits for Angina, United States, 1995"2010 - CDC |
Preventable hospitalizations for angina have been decreasing since the late 1980s — most likely because of changes in guidance, physician coding practices, and reimbursement. We asked whether this national decline has continued and whether preventable emergency department visits for angina show a similar decline. |
| noninjury ED visits | 0.367385 |
| data | 0.340076 |
| angina | 0.72787 |
| emergency department visits | 0.608351 |
| AMA PRA | 0.370048 |
| National Hospital Discharge | 0.372551 |
| prinzmetal angina | 0.367214 |
| time period | 0.398025 |
| preventable ED visit | 0.372656 |
| recent time period | 0.352838 |
| Hospital Ambulatory Medical | 0.371605 |
| Care Survey data | 0.319708 |
| diagnosis — angina | 0.361844 |
| significant linear fashion | 0.328008 |
| acute chest pain | 0.33683 |
| potentially preventable ED | 0.401877 |
| private insurance | 0.322464 |
| angina pectoris | 0.366493 |
| preventable angina hospitalizations | 0.562308 |
| disease risk factors | 0.343984 |
| preventable hospitalizations | 0.883739 |
| National Hospital Ambulatory | 0.364934 |
| angina decubitus | 0.367296 |
| Paula W. Yoon | 0.347248 |
|
| preventable visits | 0.381191 |
| preventable ED visits | 0.815395 |
| unstable angina | 0.366373 |
| preventable hospitalization rates | 0.410535 |
| Discharge Survey data | 0.322209 |
| AMA PRA Category | 0.348986 |
| United States | 0.435768 |
| ED visits | 0.934032 |
| Hospital Discharge Survey | 0.371537 |
| Ambulatory Medical Care | 0.369537 |
| reduced hospitalizations | 0.341387 |
| Amy L. Valderrama | 0.347854 |
| preventable emergency department | 0.445693 |
| NHAMCS ED rates | 0.362786 |
| risk factor management | 0.342957 |
| heart disease | 0.318713 |
| standardized rates | 0.342966 |
| Crude hospitalization rates | 0.326197 |
| rates | 0.459348 |
| Medical Care Survey | 0.374907 |
| chest pain | 0.463862 |
| coronary atherosclerosis | 0.354939 |
| largest payer | 0.345442 |
| angina hospitalizations | 0.568045 |
|
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| 10725 |
Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease | Multiple Chronic Conditions Among US Adults: A 2012 Update - CDC |
The objective of this research was to update earlier estimates of prevalence rates of single chronic conditions and multiple (>2) chronic conditions (MCC) among the noninstitutionalized, civilian US adult population. Data from the 2012 National Health Interview Survey (NHIS) were used to generate estimates of MCC for US adults and by select demographic characteristics. Approximately half (117 million) of US adults have at least one of the 10 chronic conditions examined (ie, hypertension, coronary heart disease, stroke, diabetes, cancer, arthritis, hepatitis, weak or failing kidneys, current asthma, or chronic obstructive pulmonary disease [COPD]). Furthermore, 1 in 4 adults has MCC. |
| Family Core | 0.664968 |
| state-sponsored health plans | 0.660267 |
| health care provider | 0.669072 |
| Prev Chronic Dis | 0.829776 |
| National Health Interview | 0.829361 |
| non-Hispanic Asian adults | 0.670197 |
| multiple chronic conditions | 0.802044 |
| prevalence rates | 0.658045 |
| Health Insurance Program | 0.662689 |
| Disease Control | 0.664444 |
| Sample Adult Core | 0.654403 |
| public health systems | 0.665516 |
| health care providers | 0.664373 |
| health insurance coverage | 0.855923 |
| multistage health survey | 0.676458 |
| Vital Health Stat | 0.684352 |
| non-Hispanic black adults | 0.670252 |
| Health Interview Survey | 0.831106 |
| MCC prevalence | 0.710882 |
| national health surveys | 0.666836 |
| Summary health statistics | 0.695035 |
| insurance coverage status | 0.652436 |
| chronic bronchitis | 0.674976 |
| Chronic Disease | 0.6709 |
| obstructive pulmonary disease | 0.655406 |
|
| Public health insurance | 0.665421 |
| United States | 0.709258 |
| adults | 0.768261 |
| prevalence estimates | 0.658394 |
| earlier estimates | 0.660227 |
| military health plans | 0.660098 |
| public health concern | 0.664994 |
| public health | 0.737428 |
| health care | 0.674012 |
| non-Hispanic white adults | 0.670271 |
| Mental health conditions | 0.684357 |
| sample adult | 0.679524 |
| MCC | 0.755341 |
| NHIS Core questionnaires | 0.651475 |
| chronic conditions | 0.977276 |
| different conditions | 0.65173 |
| NHIS Family Core | 0.661626 |
| public health problem | 0.676722 |
| Public Health Service | 0.662564 |
| single chronic conditions | 0.789971 |
| Goodman RA | 0.664088 |
| select demographic characteristics | 0.651355 |
| coronary heart disease | 0.78866 |
| Public Health Rep | 0.662394 |
|
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Public Health Preparedness & Response |
As America's health protection agency, CDC is on call 24/7 and able to rapidly deploy disease detectives, lifesaving vaccines and medicines, and other support during a health emergency. |
| disease detectives | 0.582072 |
| CDC | 0.716931 |
| Human Services | 0.547947 |
| Strategic National Stockpile | 0.695303 |
| natural disasters | 0.565157 |
| Japan earthquake | 0.55786 |
| command center | 0.542037 |
| military bases | 0.541517 |
| cholera outbreak | 0.58128 |
| frontline public health | 0.768381 |
| responders | 0.434641 |
| international organizations | 0.543892 |
| U.S. Department | 0.560503 |
| record flooding | 0.554131 |
| health emergency | 0.640606 |
| local governments | 0.692724 |
| U.S. The EOC | 0.753914 |
| public health emergencies | 0.784654 |
| H7N9 virus | 0.542088 |
| Haiti earthquake | 0.560254 |
| health protection agency | 0.782659 |
| Incident Management | 0.542809 |
| healthcare providers | 0.544455 |
| medicines | 0.429916 |
|
| health threats | 0.71827 |
| vaccines | 0.430131 |
| Recent activations | 0.562303 |
| health threat | 0.636285 |
| disease outbreaks | 0.571321 |
| moment | 0.42998 |
| local preparedness capabilities | 0.7157 |
| Atlantic seaboard | 0.562247 |
| MERS CoV | 0.586473 |
| state-of-the-art health security | 0.717405 |
| America | 0.450946 |
| public health | 0.794109 |
| New York | 0.551736 |
| EOC monitors | 0.742533 |
| Middle East Respiratory | 0.673451 |
| information daily | 0.545112 |
| H1N1 flu pandemic | 0.679969 |
| Rapid Deployment Force | 0.66829 |
| standardized emergency response | 0.675877 |
| local public health | 0.757201 |
| Federal Medical Stations | 0.677116 |
| New Jersey | 0.551876 |
| critical data | 0.563556 |
| deliberate attacks | 0.571443 |
|
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