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Social networks are often measured as conduits of infection. Our prior cross-sectional analyses found that denser social ties among individuals reduces transmission of acute gastrointestinal illness (AGI) in coastal Ecuador; social networks can describe both risk and protection. We extend findings to examine how social connectedness influences AGI longitudinally in Ecuador from 2007 to 2013, a time of rapid development, using a two-stage Bayesian hierarchical model to estimate multiple network effects. A larger community network of people to discuss important matters with was consistently protective against AGI over time, and a network defined by people passing time together became a stronger measure of risk, due to increasing population density and travel. These networks were interdependent: the joint effect of having a small passing time network and large important matters network reduced the odds of AGI over time (2007: OR 1.16 (95% CI: 0.94, 1.44), 2013: OR 0.56 (95% CI: 0.45, 0.71)); and synergistic: the people an individual passed time with became the people they discussed important matters with. Focus groups emphasized that with greater remoteness came greater community cohesion resulting in safer WASH practices. Social networks can enhance and reduce health differently as social infrastructure evolves, highlighting the importance of community-level factors in a period of rapid development.

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Mass gatherings exacerbate infectious disease risks by creating crowded, high-contact conditions and straining the capacity of local infrastructure. While mass gatherings have been extensively studied in the context of epidemic disease transmission, the role of gatherings in incidence of high-burden, endemic infections has not been previously studied. Here, we examine diarrheal incidence among 17 communities in Esmeraldas, Ecuador, in relation to recurrent gatherings characterized using ethnographic data collected during and after the epidemiologic surveillance period (2004-2007). Using distributed-lag generalized estimating equations, adjusted for seasonality, trend, and heavy rainfall events, we found significant increases in diarrhea risk in host villages, peaking 2 weeks after an event's conclusion (incidence rate ratio, 1.21; confidence interval, adjusted for false coverage rate of ≤0.05: 1.02, 1.43). Stratified analysis revealed heightened risks associated with events where crowding and travel were most likely (2-week-lag incidence rate ratio, 1.51; confidence interval, adjusted for false coverage rate of ≤0.05: 1.09, 2.10). Our findings suggest that community-scale mass gatherings might play an important role in endemic diarrheal disease transmission and could be an important focus for interventions to improve community health in low-resource settings.

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BACKGROUND: Longitudinal studies are considered preferable to cross-sectional studies for informing public health policy. However, when resources are limited, the trade-off between an accurate cross-section of the population and an understanding of the temporal variation should be optimized. When risk factors vary more across space at a fixed moment in time than at a fixed location across time, cross-sectional studies will tend to give more precise estimates of risk factor effects and thus may be a better source of data for policy judgments. METHODS: We conducted a diarrhoeal disease surveillance of 5616 individuals within 19 Ecuadorian villages. This data set was used to mimic cross-sectional and longitudinal studies by restricting focus to a single week and a single village, respectively. We compared the variability in risk factor effect estimates produced from each type of study. RESULTS: For household risk factors, the effect estimates produced by the longitudinal studies were more variable than their cross-sectional counterparts, which can be explained by greater spatial than temporal variability in the risk factor distribution. For example, the effect estimate of improved sanitation was almost twice as variable in longitudinal studies. CONCLUSIONS: In our study, cross-sectional designs yielded more consistent evaluations of diarrhoea disease risk factors when those factors varied more between villages than over time. Cross-sectional studies can provide information that is representative across large geographic regions and therefore can provide insight for local, regional and national policy decisions. The value of the cross-sectional study should be reconsidered in the public health community.

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The authors present an ethnoepidemiological study of diarrheal illnesses in 21 communities on the northern coast of Ecuador, where numerous social and environmental changes have taken place since 2001 due to a new highway. As communities realize that nature itself is changing, changes occur in their interpretations of health and disease, which the authors present through a taxonomic classification of diarrheal illnesses. Given the high incidence of diarrheal diseases, alternative concepts have emerged (as compared to those of biomedicine) in relation to causes, symptoms, and treatments. The non-biomedical and biomedical systems overlap, with mixtures of coexistence and resistance. Recognizing this reality means understanding a series of challenges for the official health system, including the indiscriminate use of antibiotics, non-use of health services for some diseases, and perceived relations between environmental contamination and the efficacy of modern and traditional medicines.

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Presentamos una etnoepidemiologia de las enfermedades diarreicas en 21 pueblos de la costa norte del Ecuador, zona en la cual hay muchos cambios sociales y ambientales desde 2001 por la presencia de una nueva carretera. Con percepciones de que la misma naturaleza esta cambiando, vienen cambios en interpretaciones de lo que es salud y enfermedad, que presentamos en forma de una taxonomia de males diarreicos. Ante la fuerte incidencia de las enfermedades diarreicas, existen concepciones alternativas a la biomedicina en cuanto a sus causas, sintomas y tratamientos. Hay superposiciones entre sistemas no-biomedicas y biomedicos, en donde hay mezclas de coexistencia y resistencia. Reconocer esto es entender una serie de desafios para el sistema de salud oficial, incluyendo el uso indiscriminado de antibioticos, el no uso de servicios de salud para algunos males, y relaciones percibidas entre contaminacion ambiental y la eficacia de las medicinas moderna y tradicional.

The authors present an ethnoepidemiological study of diarrheal illnesses in 21 communities on the northern coast of Ecuador, where numerous social and environmental changes have taken place since 2001 due to a new highway. As communities realize that nature itself is changing, changes occur in their interpretations of health and disease, which the authors present through a taxonomic classification of diarrheal illnesses. Given the high incidence of diarrheal diseases, alternative concepts have emerged (as compared to those of biomedicine) in relation to causes, symptoms, and treatments. The non-biomedical and biomedical systems overlap, with mixtures of coexistence and resistance. Recognizing this reality means understanding a series of challenges for the official health system, including the indiscriminate use of antibiotics, non-use of health services for some diseases, and perceived relations between environmental contamination and the efficacy of modern and traditional medicines.

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OBJECTIVES: Consuming contaminated food is a well-documented individual-level risk factor for diarrheal disease. The sharing of food also influences the distribution of diarrheal disease risk through a community and region. Understanding this social process at a population level is therefore an important dimension of risk not captured by standard individual-level analyses. We examined social networks related to food-sharing in rural villages at 2 scales: within a village, examining whether connections within these networks clustered or were uniformly spread; and among villages, looking at whether food-sharing networks differed according to the village's remoteness from a population center. METHODS: We surveyed 2129 individuals aged 13 years and older in 2003-2004, within a representative (block-randomized) sample of 21 rural villages in Esmeraldas province, northern coastal Ecuador. We calculated degree (number of social contacts) for a social network defined by sharing food. RESULTS: Networks of households sharing food differ according to remoteness from a metropolitan center. On average, residents living in "far villages" had 2 more social contacts than those in "close villages," and 12 more years of residence in their village. Estimates of transmissibility (a measure of outbreak potential) based on network structure varied as much as 2-fold across these villages. CONCLUSIONS: Food-sharing practices link particular households in rural villages and have implications for the spread of food-borne pathogens. The food-sharing networks in remote rural villages are heterogeneous and clustered, consistent with contemporary theories about disease transmitters. Network-based measures may offer tools for predicting patterns of disease outbreaks, as well as guidance for interventions.

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