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1.
J Urban Health ; 101(3): 629-637, 2024 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-38652338

RESUMEN

Diarrhea is a leading cause of death in children globally, mostly due to inadequate sanitary conditions and overcrowding. Poor housing quality and lack of tenure security that characterize informal settlements are key underlying contributors to these risk factors for childhood diarrhea deaths. The objective of this study is to better understand the physical attributes of informal settlement households in Latin American cities that are associated with childhood diarrhea. We used data from a household survey (Encuesta CAF) conducted by the Corporación Andina de Fomento (CAF), using responses from sampled individuals in eleven cities. We created a household deprivation score based on household water and sewage infrastructure, overcrowding, flooring and wall material, and security of tenure. We fitted a multivariable logistic regression model to estimate odds ratios (OR) and 95% confidence intervals (95% CI) to test the association between the deprivation score and its individual components and childhood diarrhea during the prior 2 weeks. We included a total of 4732 households with children, out of which 12.2% had diarrhea in the 2-week period prior to completing the survey. After adjusting for respondent age, gender, and city, we found a higher risk of diarrhea associated with higher household deprivation scores. Specifically, we found that the odds of diarrhea for children living in a mild and severe deprived household were 1.04 (95% CI 0.84-1.28) and 3.19 times (95% CI 1.80-5.63) higher, respectively, in comparison to households with no deprivation. These results highlight the connections between childhood health and deprived living conditions common in informal settlements.


Asunto(s)
Diarrea , Humanos , Diarrea/epidemiología , Masculino , Preescolar , Femenino , América Latina/epidemiología , Lactante , Incidencia , Composición Familiar , Factores de Riesgo , Factores Socioeconómicos , Ciudades/epidemiología , Vivienda/estadística & datos numéricos , Modelos Logísticos , Saneamiento , Recién Nacido
2.
Int J Equity Health ; 22(1): 198, 2023 Sep 28.
Artículo en Inglés | MEDLINE | ID: mdl-37770868

RESUMEN

BACKGROUND: The COVID-19 pandemic has shown how intraurban inequalities are likely to reinforce health and social inequalities. Studies at small area level help to visualize social inequialities hidden in large areas as cities or regions. AIM: To describe the spatial patterning of COVID-19 death rates in neighborhoods of the medium-sized city of Bariloche, Argentina, and to explore its relationship with the socioeconomic characteristics of neighborhoods. METHODS: We conducted an ecological study in Bariloche, Argentina. The outcome was counts of COVID-19 deaths between June 2020 and May 2022 obtained from the surveillance system and georeferenced to neighborhoods. We estimated crude- and age-adjusted death rates by neighborhood using a Bayesian approach through a Poisson regression that accounts for spatial-autocorrelation via Conditional Autoregressive (CAR) structure. We also analyzed associations of age-adjusted death rates with area-level socioeconomic indicators. RESULTS: Median COVID-19 death rate across neighborhoods was 17.9 (10th/90th percentile of 6.3/35.2) per 10,000 inhabitants. We found lower age-adjusted rates in the city core and western part of the city. The age-adjusted death rate in the most deprived areas was almost double than in the least deprived areas, with an education-related relative index of inequality (RII) of 2.14 (95% CI 1.55 to 2.96). CONCLUSION: We found spatial heterogeneity and intraurban variability in age-adjusted COVID-19 death rates, with a clear social gradient, and a higher burden in already deprived areas. This highlights the importance of studying inequalities in health outcomes across small areas to inform placed-based interventions.


Asunto(s)
COVID-19 , Pandemias , Humanos , Ciudades , Argentina/epidemiología , Teorema de Bayes , Factores Socioeconómicos , Mortalidad
3.
Prensa méd. argent ; 109(1): 31-34, 20230000.
Artículo en Español | LILACS, BINACIS | ID: biblio-1427934

RESUMEN

El cólera es una toxoinfección alimentaria ocasionada por la ingesta de agua y alimentos contaminados por el Vibrio cholerae. Es una de las enfermedades más antiguas de la humanidad y las primeras descripciones corresponden a Hipócrates. La primera epidemia documentada, sucedió en la India en 1817 y se extendió a Turquía y a los países árabes. En nuestro país, el primer brote ocurrió en 1856 en la ciudad de Bahía Blanca, asociada a la llegada de navíos con enfermos y a las deficientes condiciones sanitarias de la ciudad. Los sucesivos brotes se acompañaron de una alta mortalidad, a tal punto que el Dr. José María Penna señaló que costó más vidas a la nación que la guerra con Paraguay. En el presente artículo se analizan los sucesivos brotes de cólera en nuestro país


Cholera is a food poisoning caused by the ingestion of food and water contaminated by Vibrio cholerae. It is one of the oldest diseases of humanity and the first descriptions correspond to Hippocrates. The first documented epidemic occurred in India in 1817 and spread to Turkey and the Arab countries. In our country, the first outbreak occurred in 1856 in the city of Bahía Blanca, associated with the arrival of ships with patients and poor sanitary conditions in the city. The successive outbreaks were accompanied by high mortality, to the point that Dr. José María Penna pointed out that it cost the nation more lives than the war with Paraguay. This article analyzes the successive outbreaks of cholera in our country


Asunto(s)
Humanos , Masculino , Femenino , Cólera/historia , Cólera/epidemiología , Epidemias/historia
4.
PLoS One ; 16(10): e0258260, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-34624038

RESUMEN

BACKGROUND: Clinical features and outcomes of SARS-CoV-2 infections diverge in different countries. The aim of this study was to describe clinical characteristics and outcomes in a cohort of patients hospitalized with SARS-CoV-2 in Argentina. METHODS: Multicenter prospective cohort study of ≥18 years-old patients with confirmed SARS-CoV-2 infection consecutively admitted to 19 hospitals in Argentina. Multivariable logistic regression models were used to identify variables associated with 30-day mortality and admission to intensive care unit (ICU). RESULTS: A total of 809 patients were analyzed. Median age was 53 years, 56% were males and 71% had at least one comorbidity. The most common comorbidities were hypertension (32%), obesity (23%) and diabetes (17%). Disease severity at admission was classified as mild 25%, moderate 51%, severe 17%, and critical 7%. Almost half of patients (49%) required supplemental oxygen, 18% ICU, and 12% invasive ventilation. Overall, 30-day mortality was 11%. Factors independently associated with ICU admission were male gender (OR 1.81; 95%CI 1.16-2.81), hypertension (OR 3.21; 95%CI 2.08-4.95), obesity (OR 2.38; 95%CI 1.51-3.7), oxygen saturation ≤93% (OR 6.45; 95%CI 4.20-9.92) and lymphopenia (OR 3.21; 95%CI 2.08-4.95). Factors independently associated with 30-day mortality included age ≥60 years-old (OR 2.68; 95% CI 1.63-4.43), oxygen saturation ≤93% (OR 3.19; 95%CI 1.97-5.16) and lymphopenia (OR 2.65; 95%CI 1.64-4.27). CONCLUSIONS: This cohort validates crucial clinical data on patients hospitalized with SARS-CoV-2 in Argentina.


Asunto(s)
COVID-19 , Mortalidad Hospitalaria , Hospitalización , SARS-CoV-2 , Adulto , Factores de Edad , Anciano , Argentina/epidemiología , COVID-19/mortalidad , COVID-19/terapia , Femenino , Humanos , Masculino , Persona de Mediana Edad , Estudios Prospectivos , Factores de Riesgo , Factores Sexuales
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