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1.
Goiânia; SES-GO; 2022. 1-76 p. ilus, quad, fig.(Gestão e inovação em tempos de pandemia: um relato de experiência à frente da SES-GO, 5).
Monography in Portuguese | LILACS, CONASS, Coleciona SUS, SES-GO | ID: biblio-1401027

ABSTRACT

O novo coronavírus (SARSCoV-2) instaurou inúmeros desafios no contexto da gestão pública, não só da saúde pública, mas também da economia e da educação; e ainda nos aspectos da vida social e individual, deixando centenas de milhões de casos e milhões de mortes, transformando a realidade conhecida. Diante deste contexto este e-book buscou agregar e compilar experiências da Secretaria de Estado da Saúde de Goiás (SES/GO) no enfrentamento à pandemia, nos mais diferentes aspectos da gestão em saúde (vigilância, regulação, assistência, transparência, gestão de pessoas, entre outros)


The new coronavirus (SARSCoV-2) has created numerous challenges in the context of public management, not only in public health, but also in the economy and education; and even in the aspects of social and individual life, leaving hundreds of millions of cases and millions of deaths, transforming the known reality. Given this context, this e-book sought to aggregate and compile experiences of the State Department of Health of Goiás (SES/GO) in facing the pandemic, in the most different aspects of health management (surveillance, regulation, assistance, transparency, people management , between others)


Subject(s)
COVID-19 , Telemedicine , Health Sciences, Technology, and Innovation Management , Public Health Laboratory Services , Health Information Management , Evidence-Informed Policy , Health Policy
2.
Epidemiol. serv. saúde ; 24(4): 661-670, Out.-Dez. 2015. tab, graf
Article in Portuguese | LILACS | ID: lil-772124

ABSTRACT

OBJETIVO: estimar os custos do Programa Municipal de Controle da Dengue de Goiânia-GO, Brasil. MÉTODOS: estudo de custo de programa considerando períodos epidêmico (outubro/2009-abril/2010) e endêmico (maio-setembro/2010) de transmissão da doença, na perspectiva do Sistema Único de Saúde (SUS); os componentes de custo analisados foram recursos humanos, capacitação, infraestrutura, equipamentos de escritório, transporte, equipamentos de proteção individual, material de campo, material laboratorial, inseticidas e mobilização social; custos de capital (investimento) e recorrentes foram considerados. RESULTADOS: a média mensal de custos recorrentes foi de R$1.355.760 (US$814,075) e R$981.100 (US$589,108) nos períodos epidêmico e endêmico respectivamente; o custo de capital anual foi estimado em R$683.315 (US$410,301); cerca de 82%, 15% e 3% do custo total referem-se, respectivamente, às fontes de recurso municipal, federal e estadual. CONCLUSÃO: o custo adicional resultante das epidemias de dengue fornece subsídios para um melhor planejamento das atividades de prevenção e controle da infecção.


OBJECTIVE: to estimate the cost of the Municipal Program for Dengue Control in Goiânia, GO, Brazil. METHODS: Costs of program considering epidemic (October/2009-April/2010) and endemic (May-September/2010) periods of dengue transmission, from the perspective of the National Unified Health System (SUS); cost components considered were human resources, training, infrastructure, office equipment, transportation, personal protective equipment, field equipment, laboratory equipment, insecticides and social mobilization; capital (investment) and recurring costs were considered. RESULTS: average monthly recurring costs were R$1,355,760 (US$814,075) and R$981,100 (US$589,108), for the epidemic and endemic periods, respectively; annual capital cost was R$683,315 (US$410,301); approximately 82%, 15% and 3% of the total cost were from municipal, federal and state level funding sources, respectively. CONCLUSION: estimated incremental costs resulting from dengue epidemics provide information to support planning of dengue prevention and control activities.


OBJETIVO: estimar los costos del Programa Municipal de Control de Dengue en el municipio de Goiânia-GO, Brasil. MÉTODOS: estudio de costos del programa teniendo en cuenta períodos epidémicos (octubre/2009-abril/2010) y endémicos (mayo-septiembre/2010) de la transmisión de dengue; dentro de la perspectiva del Sistema Único de Salud (SUS); los componentes de los costos analizados fueron recursos humanos, capacitación, infraestructura, equipo de oficina, transporte, equipo de protección personal, equipo de campo, materiales de laboratorio, insecticidas y movilización social, teniendo en cuenta los costos de capital (inversión) y recurrentes. RESULTADOS: el valor mensual de costos recurrentes fue R$1.355.760 (US$814,075) y R$981.100 (US$589,108), en los períodos epidémicos y endémicos, respectivamente; los costos de capital durante el periodo de estudio fueron R$683,315 (US$410,301); alrededor de 82%, 15% y 3% de los costos totales fueron de fuente municipal, federal y estatal, respectivamente. CONCLUSIÓN: el conocimiento de los costos adicionales resultantes de las epidemias de dengue puede apoyar a una mejor planificación de las actividades de prevención y control del dengue.


Subject(s)
Humans , Male , Female , Dengue/prevention & control , Dengue/epidemiology , Government Programs/economics , Health Care Economics and Organizations , Unified Health System , Brazil/epidemiology , Costs and Cost Analysis/economics , Local Government
3.
Am J Trop Med Hyg ; 71(5): 646-51, 2004 Nov.
Article in English | MEDLINE | ID: mdl-15569799

ABSTRACT

Urban dengue fever is now considered a major public health threat in most American countries. A household survey was conducted in the city of Goiania in central Brazil in 2001 to assess prevalence of dengue infection and individual and area-based risk factors. Spatial point pattern analysis was performed using the dual Kernel method. A total of 1,610 households were surveyed; 1,585 individuals more than five years old had blood and data collected. Sera were tested for IgM/IgG antibodies by an enzyme-linked immunoassay. Area-based indicators derived from census data were linked to geocoded residential address. The seroprevalence of dengue was 29.5% and the estimate prevalence surface reached 50% in the outskirts areas. The risk of infection was significantly associated with older age (P < 0.01), low education (odds ratio [OR] = 3.45, 95% confidence interval [CI] = 1.82-6.55), and low income (OR = 1.32, 95% CI = 1.02-1.71) in multivariate analysis. This study highlighted the heterogeneity of dengue transmission within the city and can assist in spatial targeting control interventions.


Subject(s)
Dengue/epidemiology , Adolescent , Adult , Animals , Antibodies, Viral/analysis , Brazil/epidemiology , Child , Child, Preschool , Culicidae , Demography , Dengue/blood , Dengue/etiology , Dengue Virus/immunology , Dengue Virus/isolation & purification , Enzyme-Linked Immunosorbent Assay , Female , Humans , Insect Vectors , Male , Middle Aged , Residence Characteristics , Risk Factors , Seroepidemiologic Studies
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