IZURIETA GUEVARA, MÓNICA GIOCONDA
Preferred name
IZURIETA GUEVARA, MÓNICA GIOCONDA
Main Affiliation
CISPEC - Centro de Investigación en Salud Pública y Epidemiología Clínica
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Item type:Publication, Disparidades rural-urbanas en la mortalidad materna en Ecuador: Un análisis desde una perspectiva de género (2019–2021)La mortalidad materna es un indicador sensible de desigualdad en los sistemas de salud. En Ecuador persisten marcadas brechas sociales entre zonas rurales y urbanas, acentuadas por factores estructurales como el territorio, la etnicidad y el género. Este estudio analiza las disparidades rural-urbanas en la mortalidad materna entre 2019 y 2021 desde un enfoque interseccional y de derechos humanos. Se utilizaron datos oficiales del Ministerio de Salud Pública e INEC, así como herramientas de análisis estadístico y georreferenciación. Los hallazgos evidencian razones de mortalidad materna más elevadas en el área rural, provincias fronterizas y especialmente entre mujeres racializadas y de edades avanzadas. Se concluye que los sistemas de salud deben contemplar recursos e inversión en estas áreas y grupos, así como las operaciones logísticas y de comunicación necesarias para una oportuna atención prenatal. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Beyond national fertility rates: unmasking territorial differences in adolescent pregnancy in Ecuador(Frontiers Media SA, 2026-07-22); ; ; ; Izurieta-Guevara, LorenaIntroduction Teenage pregnancy is a significant public health challenge that may contribute to cycles of poverty in the context of social inequality. In Latin America and the Caribbean, Ecuador ranks third in terms of fertility rates. The objective of this study is to describe temporal trends and territorial patterns of adolescent fertility in Ecuador between 2015 and 2024, differentiating early adolescents (10–14 years) and late adolescents (15–19 years), and identifying priority territories for public health monitoring. Method A descriptive observational study was conducted using anonymized databases from the National Institute of Statistics and Census (INEC). Fertility rates were calculated for two groups: early adolescents (10–14 years) and late adolescents (15–19 years). Data were analyzed by province, area of residence, and social variables. Monotonic temporal trends were assessed using the non-parametric Mann–Kendall test. Results The national fertility rate declined steadily, from 40.75 per 1,000 (95% CI: 40.44–41.08) in 2015 to 20.53 in 2024 (95% CI: 20.30–20.75). Despite this overall progress, geographic heterogeneity in fertility rates was observed, with the highest rates and slowest declines concentrated in Amazonian and Coastal provinces. Fertility rates remained consistently elevated among adolescents in early unions, those with lower educational attainment, and within Indigenous and Mestizo populations. Mann–Kendall analyses identified priority provinces with non-significant downward trends, particularly among early adolescents. Conclusion The study identified declining adolescent fertility rates alongside persistent territorial disparities across Ecuador. Differences observed by province, age group, ethnicity, educational attainment, and early unions underscore the importance of complementing national indicators with disaggregated analyses. This perspective may contribute to a more nuanced understanding of adolescent fertility patterns and may guide territorial surveillance and public health planning. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Spatiotemporal trends in hospitalizations and mortality due to mental disorders in Ecuador 2014–2023. A national epidemiological study(Springer Science and Business Media LLC, 2025-11-24); ; ; ;Yekaterina AltunaDaniel Simancas-RacinesBackground: Mental disorders constitute a growing public health concern, accounting for a substantial share of global morbidity and mortality. In Ecuador, despite increasing policy attention, the availability of epidemiological evidence remains limited. This study examines hospitalizations and mortality due to mental disorders (ICD-10 F00–F99) from 2014 to 2023, aiming to generate robust evidence to support informed decision-making and strengthen mental health planning within the national health system. Methods: This study analyzed data from national public-access registries. Descriptive statistics were calculated by sex, age, year, region, and province, and crude rates per 100,000 inhabitants were estimated. Spatiotemporal patterns were examined using k-means clustering and visualized through thematic maps. Results: Between 2014 and 2023, Ecuador recorded 93,680 hospitalizations and 2,281 deaths due to mental disorders, with the highest hospitalization burden observed among individuals aged 20–29 years and a notable increase among females aged 10–19. Substance use disorders predominated in men, whereas mood disorders were more frequent in women. Spatial clustering revealed distinct regional patterns, with the Sierra region, home to approximately 43% of the population, exhibiting the highest hospitalization and mortality rates, whereas the Galápagos province showed extreme temporal variability. Conclusion: Over the past decade, Ecuador has experienced a steady increase in hospitalizations and deaths associated with mental disorders. The results underscore the urgent need to strengthen community-based mental health systems, update national care models, and develop evidence-based promotion and prevention strategies. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Assessing the impact of a business intelligence program on the employability and well-being of low-income women: a quasi-experimental study protocol(Frontiers Media SA, 2025-11-13) ;Marco Faytong-Haro ;Alonso Quijano-Ruiz ;Daniel Sanchez-Pazmiño ;Patricio Alvarez-MuñozJose Diaz-MontenegroWomen are underrepresented globally in the field of data analytics, particularly in underdeveloped countries. We present a protocol to assess the impact of the New Dimensions program, a data analytics and business intelligence course sequence that aims to address this gender gap by providing free business intelligence training to disadvantaged women in Ecuador. The program offers both technical (Business Intelligence) and soft skills training, including Excel, Power BI, SQL, GitHub, R, Tableau, statistics, Python, and workshops on empowerment, employability, and public speech. The purpose of this quasi-experimental study is to assess the impact of this training program on employability and other well-being outcomes of the participants. A total of 80 individuals will be part in the study, of which 70 will be selected to participate in the program, 50 will receive both hard and soft skills training, and 20 only soft skills training. Ten individuals will form part of the control group with no intervention. The study design involves a nonrandomized control group composed of rejected applicants. Data will be collected through an online application form and a computer-based exam. The outcome measures are participants' labor market outcomes, income, food security, and economic stratification, among others. This protocol will prospectively evaluate the program's potential effectiveness; findings will inform future, larger randomized studies focused on employability and well-being in underrepresented groups. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Climate Change and health: vulnerability pathways and resilience policies(Medwave Estudios Limitada, 2025-10-27); ;Juan Marcos Parise-Vasco; Daniel Simancas-RacinesClimate change is a serious threat to public health. The intensity and devastation of 21st-century climate events exacerbate the vulnerability of certain social groups that already face historical disadvantages. The objective of this article is to examine various dimensions of health vulnerability in the context of anthropogenic climate change. A narrative review was conducted based on articles published in the last five years from the Scopus, Medline/PubMed, LILACS databases, and an intentional search of current publications by international organizations and commissions focused on the topic. The review identified and characterized four types of health vulnerability dimensions: social, economic, geographic, and health infrastructure; it also presents multiple intersectionalities that converge at the interface of climate change and health which increase the risk of physical and mental illnesses. Based on the proposed discussion, public policy guidelines are suggested for resilient health systems and effective information structures for timely decision-making.
