Search

Your search keyword '"Santos-Vega, Mauricio"' showing total 34 results
Start Over Author "Santos-Vega, Mauricio"
34 results on '"Santos-Vega, Mauricio"'

1. The 2023 Latin America report of the Lancet Countdown on health and climate change: the imperative for health-centred climate-resilient development

Author

Hartinger, Stella M., Palmeiro-Silva, Yasna K., Llerena-Cayo, Camila, Blanco-Villafuerte, Luciana, Escobar, Luis E., Diaz, Avriel, Sarmiento, Juliana Helo, Lescano, Andres G., Melo, Oscar, Rojas-Rueda, David, Takahashi, Bruno, Callaghan, Max, Chesini, Francisco, Dasgupta, Shouro, Posse, Carolina Gil, Gouveia, Nelson, Martins de Carvalho, Aline, Miranda-Chacón, Zaray, Mohajeri, Nahid, Pantoja, Chrissie, Robinson, Elizabeth J.Z., Salas, Maria Fernanda, Santiago, Raquel, Sauma, Enzo, Santos-Vega, Mauricio, Scamman, Daniel, Sergeeva, Milena, Souza de Camargo, Tatiana, Sorensen, Cecilia, Umaña, Juan D., Yglesias-González, Marisol, Walawender, Maria, Buss, Daniel, and Romanello, Marina

Published
2024
Full Text
View/download PDF

7. Exploring Dengue Dynamics: A Multi-Scale Analysis of Spatio-Temporal Trends in Ibagué, Colombia.

Author

Otero, Julian, Tabares, Alejandra, and Santos-Vega, Mauricio

Subjects
ARBOVIRUS diseases, DENGUE, POPULATION density, TREND analysis, REMOTE-sensing images, FACTOR analysis, FENITROTHION
Abstract

Our study examines how dengue fever incidence is associated with spatial (demographic and socioeconomic) alongside temporal (environmental) factors at multiple scales in the city of Ibagué, located in the Andean region of Colombia. We used the dengue incidence in Ibagué from 2013 to 2018 to examine the associations with climate, socioeconomic, and demographic factors from the national census and satellite imagery at four levels of local spatial aggregation. We used geographically weighted regression (GWR) to identify the relevant socioeconomic and demographic predictors, and we then integrated them with environmental variables into hierarchical models using integrated nested Laplace approximation (INLA) to analyze the spatio-temporal interactions. Our findings show a significant effect of spatial variables across the different levels of aggregation, including human population density, gas and sewage connection, percentage of woman and children, and percentage of population with a higher education degree. Lagged temporal variables displayed consistent patterns across all levels of spatial aggregation, with higher temperatures and lower precipitation at short lags showing an increase in the relative risk (RR). A comparative evaluation of the models at different levels of aggregation revealed that, while higher aggregation levels often yield a better overall model fit, finer levels offer more detailed insights into the localized impacts of socioeconomic and demographic variables on dengue incidence. Our results underscore the importance of considering macro and micro-level factors in epidemiological modeling, and they highlight the potential for targeted public health interventions based on localized risk factor analyses. Notably, the intermediate levels emerged as the most informative, thereby balancing spatial heterogeneity and case distribution density, as well as providing a robust framework for understanding the spatial determinants of dengue. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

11. A mixed-methods study on the design of Artificial Intelligence and data science-based strategies to inform public health responses to COVID-19 in different local health ecosystems: A study protocol for COLEV

Author

González-Uribe, Catalina, primary, Yañez, Nicolás, additional, Onshuus Niño, Alf, additional, Velasco, Nubia, additional, Cordovez, Juan Manuel, additional, Santos-Vega, Mauricio, additional, Niño-Machado, Natalia, additional, Burbano, Andres, additional, Forbes, Angus, additional, Amaya Guio, Ciro Alberto, additional, Turner, Simon, additional, Higuera-Mendieta, Diana, additional, and Martínez-Cabezas, Sandra, additional

Published
2022
Full Text
View/download PDF

19. Deciphering the introduction and transmission of SARS-CoV-2 in the Colombian Amazon Basin

Author

Ballesteros, Nathalia, primary, Muñoz, Marina, additional, Patiño, Luz Helena, additional, Hernández, Carolina, additional, González-Casabianca, Felipe, additional, Carroll, Iván, additional, Santos-Vega, Mauricio, additional, Cascante, Jaime, additional, Angel, Andrés, additional, Feged-Rivadeneira, Alejandro, additional, Palma-Cuero, Mónica, additional, Flórez, Carolina, additional, Gomez, Sergio, additional, van de Guchte, Adriana, additional, Khan, Zenab, additional, Dutta, Jayeeta, additional, Obla, Ajay, additional, Alshammary, Hala Alejel, additional, Gonzalez-Reiche, Ana S., additional, Hernandez, Matthew M., additional, Sordillo, Emilia Mia, additional, Simon, Viviana, additional, van Bakel, Harm, additional, Paniz-Mondolfi, Alberto E., additional, and Ramírez, Juan David, additional

Published
2021
Full Text
View/download PDF

25. Development, environmental degradation, and disease spread in the Brazilian Amazon

Author

Castro, Marcia C., primary, Baeza, Andres, additional, Codeço, Cláudia Torres, additional, Cucunubá, Zulma M., additional, Dal’Asta, Ana Paula, additional, De Leo, Giulio A., additional, Dobson, Andrew P., additional, Carrasco-Escobar, Gabriel, additional, Lana, Raquel Martins, additional, Lowe, Rachel, additional, Monteiro, Antonio Miguel Vieira, additional, Pascual, Mercedes, additional, and Santos-Vega, Mauricio, additional

Published
2019
Full Text
View/download PDF

26. Local climate and social inequality drive spatio-temporal variation in malaria risk across a complex urban landscape

Author

Santos-Vega, Mauricio, Lowe, Rachel, Anselin, Luc, Desai, Vikas, Vaishnav, Keshav G., Naik, Ashish, and Pascual, Mercedes

Subjects
parasitic diseases
Abstract

Rapid urbanization makes cities an increasingly important habitat for mosquito-borne infections. Although these diseases are both climate and poverty driven, the interaction of environmental and socio-economic factors at different spatial scales within cities remain poorly understood. We analyze 10 years of extensive surveillance dataset of falciparum malaria resolved at three different spatial resolutions for the city of Surat in Northwest India. The spatial pattern of malaria risk is found to be largely stationary in time. A Bayesian hierarchical mixed model that combines spatially explicit indicators of temperature, population density and poverty with interannual variability in humidity best explains and predicts these patterns. For the Indian subcontinent, which harbors a truly urban mosquito vector, malaria elimination should target disease hotspots within cities. We show that urban malaria risk patterns are strongly driven by fixed spatial structures, highlighting the key role of social and environmental inequality and the need for targeted control efforts.

Published
2019
Full Text
View/download PDF

27. The 2023 Latin America report of the LancetCountdown on health and climate change: the imperative for health-centred climate-resilient development

Author

Hartinger, Stella M., Palmeiro-Silva, Yasna K., Llerena-Cayo, Camila, Blanco-Villafuerte, Luciana, Escobar, Luis E., Diaz, Avriel, Sarmiento, Juliana Helo, Lescano, Andres G., Melo, Oscar, Rojas-Rueda, David, Takahashi, Bruno, Callaghan, Max, Chesini, Francisco, Dasgupta, Shouro, Posse, Carolina Gil, Gouveia, Nelson, Martins de Carvalho, Aline, Miranda-Chacón, Zaray, Mohajeri, Nahid, Pantoja, Chrissie, Robinson, Elizabeth J.Z., Salas, Maria Fernanda, Santiago, Raquel, Sauma, Enzo, Santos-Vega, Mauricio, Scamman, Daniel, Sergeeva, Milena, Souza de Camargo, Tatiana, Sorensen, Cecilia, Umaña, Juan D., Yglesias-González, Marisol, Walawender, Maria, Buss, Daniel, and Romanello, Marina

Abstract

In 2023, a series of climatological and political events unfolded, partly driving forward the global climate and health agenda while simultaneously exposing important disparities and vulnerabilities to climate-related events. On the policy front, a significant step forward was marked by the inaugural Health Day at COP28, acknowledging the profound impacts of climate change on health. However, the first-ever Global Stocktake showed an important gap between the current progress and the targets outlined in the Paris Agreement, underscoring the urgent need for further and decisive action. From a Latin American perspective, some questions arise: How do we achieve the change that is needed? How to address the vulnerabilities to climate change in a region with long-standing social inequities? How do we promote intersectoral collaboration to face a complex problem such as climate change? The debate is still ongoing, and in many instances, it is just starting.

Published
2024
Full Text
View/download PDF

32. Coupling genetic and epidemiological dynamics to unravel parasite structure in transmission gradients.

Author

Suárez-Salazar, David, Corredor-Espinel, Vladimir, Cordovez-Álvarez, Juan, and Santos-Vega, Mauricio

Subjects
PARASITES
Abstract

Copyright of Biomédica: Revista del Instituto Nacional de Salud is the property of Instituto Nacional de Salud of Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2022

33. El rol de los factores climáticos extremos en la incidencia del dengue en Colombia en múltiples escalas.

Author

Santos-Vega, Mauricio and Kache, Pallavi

Abstract

Copyright of Biomédica: Revista del Instituto Nacional de Salud is the property of Instituto Nacional de Salud of Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2022

34. Temperature and population density determine reservoir regions of seasonal persistence in highland malaria

Author

Mauricio Santos-Vega, Paul C. Sutton, Menno J. Bouma, Damtew Yadeta, Dale S. Rothman, Amir S. Siraj, Asnakew K. Yeshiwondim, Mercedes Pascual, Siraj, Amir S, Bouma, Menno J, Santos-Vega, Mauricio, Yeshiwondim, Asnakew K, Rothman, Dale S, Yadeta, Damtew, Sutton, Paul C, and Pascual, Mercedes

Subjects
Disease reservoir, reservoir, Rain, Plasmodium falciparum, malaria, Force of infection, Population density, General Biochemistry, Genetics and Molecular Biology, Generalized linear mixed model, law.invention, Disease Outbreaks, Altitude, Spatio-Temporal Analysis, law, parasitic diseases, medicine, Humans, Malaria, Falciparum, Research Articles, General Environmental Science, Disease Reservoirs, Population Density, General Immunology and Microbiology, Ecology, Temperature, Outbreak, General Medicine, persistence, medicine.disease, Transmission (mechanics), Geography, Ethiopia, Seasons, General Agricultural and Biological Sciences, Malaria
Abstract

A better understanding of malaria persistence in highly seasonal environments such as highlands and desert fringes requires identifying the factors behind the spatial reservoir of the pathogen in the low season. In these ‘unstable’ malaria regions, such reservoirs play a critical role by allowing persistence during the low transmission season and therefore, between seasonal outbreaks. In the highlands of East Africa, the most populated epidemic regions in Africa, temperature is expected to be intimately connected to where in space the disease is able to persist because of pronounced altitudinal gradients. Here, we explore other environmental and demographic factors that may contribute to malaria's highland reservoir. We use an extensive spatio-temporal dataset of confirmed monthly Plasmodium falciparum cases from 1995 to 2005 that finely resolves space in an Ethiopian highland. With a Bayesian approach for parameter estimation and a generalized linear mixed model that includes a spatially structured random effect, we demonstrate that population density is important to disease persistence during the low transmission season. This population effect is not accounted for in typical models for the transmission dynamics of the disease, but is consistent in part with a more complex functional form of the force of infection proposed by theory for vector-borne infections, only during the low season as we discuss. As malaria risk usually decreases in more urban environments with increased human densities, the opposite counterintuitive finding identifies novel control targets during the low transmission season in African highlands.

Published
2015

Catalog

Books, media, physical & digital resources
See catalog results