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1.
Vaccines (Basel) ; 10(9)2022 Sep 01.
Artículo en Inglés | MEDLINE | ID: covidwho-2071874

RESUMEN

Objectives: This study assessed the associations between parent intent to have their child receive the COVID-19 vaccination, and demographic factors and various child activities, including attendance at in-person education or childcare. Methods: Persons undergoing COVID-19 testing residing in Minnesota and Los Angeles County, California with children aged <12 years completed anonymous internet-based surveys between 10 May and 6 September 2021 to assess factors associated with intention to vaccinate their child. Factors influencing the parents' decision to have their child attend in-person school or childcare were examined. Estimated adjusted odds rations (AORs, 95% CI) were computed between parents' intentions regarding children's COVID-19 vaccination and participation in school and extra-curricular activities using multinomial logistic regression. Results: Compared to parents intending to vaccinate their children (n = 4686 [77.2%]), those undecided (n = 874 [14.4%]) or without intention to vaccinate (n = 508 [8.4%]) tended to be younger, non-White, less educated, and themselves not vaccinated against COVID-19. Their children more commonly participated in sports (aOR:1.51 1.17-1.95) and in-person faith or community activities (aOR:4.71 3.62-6.11). A greater proportion of parents without intention to vaccinate (52.5%) indicated that they required no more information to make their decision in comparison to undecided parents (13.2%). They further indicated that additional information regarding vaccine safety and effectiveness would influence their decision. COVID-19 mitigation measures were the most common factors influencing parents' decision to have their child attend in-person class or childcare. Conclusions: Several demographic and socioeconomic factors are associated with parents' decision whether to vaccinate their <12-year-old children for COVID-19. Child participation in in-person activities was associated with parents' intentions not to vaccinate. Tailored communications may be useful to inform parents' decisions regarding the safety and effectiveness of vaccination.

2.
J Public Health Manag Pract ; 27(3): 233-239, 2021.
Artículo en Inglés | MEDLINE | ID: covidwho-1150041

RESUMEN

OBJECTIVE: To more comprehensively estimate COVID-19-related mortality in Los Angeles County by determining excess all-cause mortality and pneumonia, influenza, or COVID (PIC) mortality. DESIGN: We reviewed vital statistics data to identify deaths registered in Los Angeles County between March 15, 2020, and August 15, 2020. Deaths with an ICD-10 (International Classification of Diseases, Tenth Revision) code for pneumonia, influenza, or COVID-19 listed as an immediate or underlying cause of death were classified as PIC deaths. Expected deaths were calculated using negative binomial regression. Excess mortality was determined by subtracting the expected from the observed number of weekly deaths. The Department of Public Health conducts surveillance for COVID-19-associated deaths: persons who died of nontraumatic/nonaccidental causes within 60 days of a positive COVID-19 test result were classified as confirmed COVID-19 deaths. Deaths without a reported positive SARS-Cov-2 polymerase chain reaction result were classified as probable COVID-19 deaths if COVID-19 was listed on their death certificate or the death occurred 60 to 90 days of a positive test. We compared excess PIC deaths with the number of confirmed and probable COVID-19 deaths ascertained by surveillance. SETTING: Los Angeles County. PARTICIPANTS: Residents of Los Angeles County who died. MAIN OUTCOME MEASURE: Excess mortality. RESULTS: There were 7208 excess all-cause and 5128 excess PIC deaths during the study period. The Department of Public Health also reported 5160 confirmed and 323 probable COVID-19-associated deaths. CONCLUSIONS: The number of excess PIC deaths estimated by our model was approximately equal to the number of confirmed and probable COVID-19 deaths identified by surveillance. This suggests our surveillance definition for confirmed and probable COVID-19 deaths might be sufficiently sensitive for capturing the true burden of deaths caused directly or indirectly by COVID-19.


Asunto(s)
COVID-19/mortalidad , Causas de Muerte , Gripe Humana/mortalidad , Pandemias/estadística & datos numéricos , Neumonía/mortalidad , Vigilancia de la Población , Salud Pública/estadística & datos numéricos , Adulto , Anciano , Anciano de 80 o más Años , COVID-19/epidemiología , Ciudades/epidemiología , Ciudades/estadística & datos numéricos , Femenino , Humanos , Gripe Humana/epidemiología , Los Angeles/epidemiología , Masculino , Persona de Mediana Edad , Neumonía/epidemiología , SARS-CoV-2
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