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Community resilience and Chagas disease in a rural region of Mexico

2016· article· en· W2497011770 on OpenAlexfundno aff
José Antonio Santana Rangel, Luz Arenas Monreal, Janine M. Ramsey

Bibliographic record

VenueRevista de Saúde Pública · 2016
Typearticle
Languageen
FieldMedicine
TopicTrypanosoma species research and implications
Canadian institutionsnot available
FundersConsejo Nacional de Ciencia y TecnologíaInternational Development Research Centre
KeywordsFocus groupPopulationCommunity resilienceEthnographyParticipatory action researchCitizen journalismSociologySocioeconomicsGerontologyPolitical scienceMedicineAnthropologyDemography

Abstract

fetched live from OpenAlex

OBJECTIVE: To explore the pillars of community resilience in a region where Chagas disease is endemic, with the aim of promoting participatory processes to deal with this condition from the resilience of the population. METHODS: Qualitative study using ethnographic record and six interviews of focus groups with young people, women and men. The research was carried out in a rural area of the state of Morelos, Mexico, between 2006 and 2007. We carried out educational sessions with the population in general, so that residents could identify the relationship between the vector Triatoma pallidipennis, the parasite (Trypanosoma cruzi), symptoms, and preventive actions for Chagas disease. The ethnographic record and groups were analyzed based on Taylor and Bogdan's modification, and the focus was to understand the socio-cultural meanings that guide the speeches and activities of residents in relation to the pillars of community resilience. RESULTS: The population felt proud of belonging to that location and three pillars of community resilience were clearly identified: collective self-esteem, cultural identity, and social honesty. Having these pillars as bases, we promoted the participation of the population concerning Chagas disease, and a Community Action Group was formed with young people, adult men and women, and social leaders. This Group initiated actions of epidemiological and entomological surveillance in the community to deal with this problem. CONCLUSIONS: It is necessary to create more experiences that deepen the understanding of the pillars of community resilience, and how they contribute to enhance participation in health to deal with Chagas disease. OBJETIVO: Explorar los pilares de la resiliencia comunitaria en una región en la que la enfermedad de Chagas es endémica, con la finalidad de partir de la resiliencia de la población para impulsar procesos participativos para enfrentar este padecimiento. MÉTODOS: Estudio cualitativo que utilizó registro etnográfico y seis entrevistas de grupos focales con jóvenes, mujeres y hombres adultos. La investigación se efectúo en una localidad rural del Estado de Morelos, México, entre 2006 y 2007. Se efectuaron sesiones educativas con la población en general, para que los habitantes identificaran la relación entre el vector Triatoma pallidipennis, el parásito (Trypanosoma cruzi), la sintomatología y acciones preventivas para la enfermedad de Chagas. El registro etnográfico y los grupos fueron analizados con base en una modificación de Taylor y Bogdan, y el foco fue comprender los significados socioculturales que guían los discursos y actividades de los pobladores en relación a los pilares de la resiliencia comunitaria. RESULTADOS: La población se sentía orgullosa de pertenecer a esa localidad y se identificaron con claridad tres pilares de la resiliencia comunitaria: autoestima colectiva, identidad cultural y honestidad social. Tomando como base estos pilares, se impulsó la participación de la población en torno a la enfermedad de Chagas, y se formó un Grupo de Acción Comunitaria con jóvenes, hombres y mujeres adultos, y líderes sociales. Este Grupo inició acciones de vigilancia epidemiológica y entomológica en la comunidad para hacer frente a esta problemática. CONCLUSIONES: Es necesario generar más experiencias que profundicen en la comprensión de los pilares de resiliencia comunitaria, y en la manera en que estos contribuyen a potenciar la participación en salud para enfrentar la enfermedad de Chagas.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score0.205

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.322
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations10
Published2016
Admission routes1
Has abstractyes

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