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1.
NCHS Data Brief ; (435): 1-8, 2022 Apr.
Article in English | MEDLINE | ID: covidwho-1842692

ABSTRACT

Oral health is an essential component of overall health and well-being (1,2). Along with good oral hygiene, an important factor of oral health is regular dental care (3). However, about 35% of adults aged 18 and over did not have a dental visit in 2019 (4), and predictors such as age, race, sex, and socioeconomic status were associated with delayed dental care among adults in the United States (5). In 2020, many dental practices limited their hours and services in response to the COVID-19 pandemic (6,7). This report uses data from the 2019 and 2020 National Health Interview Survey (NHIS) to describe recent changes in the prevalence of dental visits among adults aged 18-64.


Subject(s)
COVID-19 , Adolescent , Adult , COVID-19/epidemiology , Dental Care , Humans , Oral Health , Pandemics , Social Class , United States/epidemiology
2.
MMWR Morb Mortal Wkly Rep ; 69(42): 1535-1541, 2020 Oct 23.
Article in English | MEDLINE | ID: covidwho-890753

ABSTRACT

Poverty, crowded housing, and other community attributes associated with social vulnerability increase a community's risk for adverse health outcomes during and following a public health event (1). CDC uses standard criteria to identify U.S. counties with rapidly increasing coronavirus disease 2019 (COVID-19) incidence (hotspot counties) to support health departments in coordinating public health responses (2). County-level data on COVID-19 cases during June 1-July 25, 2020 and from the 2018 CDC social vulnerability index (SVI) were analyzed to examine associations between social vulnerability and hotspot detection and to describe incidence after hotspot detection. Areas with greater social vulnerabilities, particularly those related to higher representation of racial and ethnic minority residents (risk ratio [RR] = 5.3; 95% confidence interval [CI] = 4.4-6.4), density of housing units per structure (RR = 3.1; 95% CI = 2.7-3.6), and crowded housing units (i.e., more persons than rooms) (RR = 2.0; 95% CI = 1.8-2.3), were more likely to become hotspots, especially in less urban areas. Among hotspot counties, those with greater social vulnerability had higher COVID-19 incidence during the 14 days after detection (212-234 cases per 100,000 persons for highest SVI quartile versus 35-131 cases per 100,000 persons for other quartiles). Focused public health action at the federal, state, and local levels is needed not only to prevent communities with greater social vulnerability from becoming hotspots but also to decrease persistently high incidence among hotspot counties that are socially vulnerable.


Subject(s)
Coronavirus Infections/epidemiology , Pneumonia, Viral/epidemiology , Residence Characteristics/statistics & numerical data , Social Determinants of Health , COVID-19 , Crowding , Humans , Incidence , Pandemics , Poverty , Risk Assessment , United States/epidemiology
3.
MMWR Morb Mortal Wkly Rep ; 69(33): 1127-1132, 2020 Aug 21.
Article in English | MEDLINE | ID: covidwho-725246

ABSTRACT

The geographic areas in the United States most affected by the coronavirus disease 2019 (COVID-19) pandemic have changed over time. On May 7, 2020, CDC, with other federal agencies, began identifying counties with increasing COVID-19 incidence (hotspots) to better understand transmission dynamics and offer targeted support to health departments in affected communities. Data for January 22-July 15, 2020, were analyzed retrospectively (January 22-May 6) and prospectively (May 7-July 15) to detect hotspot counties. No counties met hotspot criteria during January 22-March 7, 2020. During March 8-July 15, 2020, 818 counties met hotspot criteria for ≥1 day; these counties included 80% of the U.S. population. The daily number of counties meeting hotspot criteria peaked in early April, decreased and stabilized during mid-April-early June, then increased again during late June-early July. The percentage of counties in the South and West Census regions* meeting hotspot criteria increased from 10% and 13%, respectively, during March-April to 28% and 22%, respectively, during June-July. Identification of community transmission as a contributing factor increased over time, whereas identification of outbreaks in long-term care facilities, food processing facilities, correctional facilities, or other workplaces as contributing factors decreased. Identification of hotspot counties and understanding how they change over time can help prioritize and target implementation of U.S. public health response activities.


Subject(s)
Coronavirus Infections/epidemiology , Pandemics , Pneumonia, Viral/epidemiology , Rural Population/statistics & numerical data , Urban Population/statistics & numerical data , COVID-19 , Humans , Incidence , United States/epidemiology
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