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Brazil has been severely hit by COVID-19, with rapid spatial spread of both cases and deaths. We used daily data on reported cases and deaths to understand, measure, and compare the spatiotemporal pattern of the spread across municipalities. Indicators of clustering, trajectories, speed, and intensity of the movement of COVID-19 to interior areas, combined with indices of policy measures, show that although no single narrative explains the diversity in the spread, an overall failure of implementing prompt, coordinated, and equitable responses in a context of stark local inequalities fueled disease spread. This resulted in high and unequal infection and mortality burdens. With a current surge in cases and deaths and several variants of concern in circulation, failure to mitigate the spread could further aggravate the burden.

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The Gulf of Mexico (GoM) region is prone to disasters, including recurrent oil spills, hurricanes, floods, industrial accidents, harmful algal blooms, and the current COVID-19 pandemic. The GoM and other regions of the U.S. lack sufficient baseline health information to identify, attribute, mitigate, and facilitate prevention of major health effects of disasters. Developing capacity to assess adverse human health consequences of future disasters requires establishment of a comprehensive, sustained community health observing system, similar to the extensive and well-established environmental observing systems. We propose a system that combines six levels of health data domains, beginning with three existing, national surveys and studies plus three new nested, longitudinal cohort studies. The latter are the unique and most important parts of the system and are focused on the coastal regions of the five GoM States. A statistically representative sample of participants is proposed for the new cohort studies, stratified to ensure proportional inclusion of urban and rural populations and with additional recruitment as necessary to enroll participants from particularly vulnerable or under-represented groups. Secondary data sources such as syndromic surveillance systems, electronic health records, national community surveys, environmental exposure databases, social media, and remote sensing will inform and augment the collection of primary data. Primary data sources will include participant-provided information via questionnaires, clinical measures of mental and physical health, acquisition of biological specimens, and wearable health monitoring devices. A suite of biomarkers may be derived from biological specimens for use in health assessments, including calculation of allostatic load, a measure of cumulative stress. The framework also addresses data management and sharing, participant retention, and system governance. The observing system is designed to continue indefinitely to ensure that essential pre-, during-, and post-disaster health data are collected and maintained. It could also provide a model/vehicle for effective health observation related to infectious disease pandemics such as COVID-19. To our knowledge, there is no comprehensive, disaster-focused health observing system such as the one proposed here currently in existence or planned elsewhere. Significant strengths of the GoM Community Health Observing System (CHOS) are its longitudinal cohorts and ability to adapt rapidly as needs arise and new technologies develop.

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Socioeconomic status is consistently linked to population health and specifically to the finding that there is decreasing health associated with decreasing social position. Despite the substantial literature, an analogous literature that is focused on clinical practice, and especially consideration of the individual, is almost nonexistent. Even in the absence of these data, physicians routinely incorporate patient life experience (biography) into their estimation of a patient's clinical trajectory (prognosis) and when making therapeutic decisions. Some advances have occurred that strengthen the evidence base, such as the US Food and Drug Administration decision to show all results from randomized controlled trials on newly approved drugs by age, sex, and race. In this article we review the current status of research on the impact of social determinants of treatment response and illustrate the important role of the therapeutic context in both research and practice. Examples are provided in which a patient's "biography" alters treatment response in subgroups of the population studied. We also provide examples in which multi-omic data and biographical information in a single individual can illuminate the clinical expression of disease. Finally, we suggest a research agenda that would better support physicians who use social and behavioral features as important elements in their decision making in clinical care.

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This paper discusses the implications of poor or non-existent information on soil quality, at the proper scale, during the planning and implementation of settlement projects in the Brazilian Amazon. Based on data from the Machadinho settlement project, Rondônia, we show that most settlers had no knowledge about the agricultural capability of the area, did not receive technical information, could not afford agricultural inputs, planted inadequate crops in the early years of occupation, and did not manage to stay in their plot for a long period of time. Satellite images indicated that patches of land with good soil quality were not necessarily the first to be utilized. Inadequately planned settlements face many challenges (poor soil being one of them) and are likely to result in land turnover, conversion of land into pasture, land concentration among wealthier persons, invasion of areas by poorer people, and deforestation, defying the main purpose of agrarian reform.

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A transmissão de malária em projetos de assentamento na Amazônia, definida como malária de fronteira, é resultado de um intrincado processo envolvendo fatores biológicos, ecológicos, socioeconômicos e comportamentais, apresentando uma transição temporal de altas a baixas taxas ao longo de aproximadamente oito anos. Como resultado, um dos grandes desafios é a compreensão desse processo, através da identificação das variáveis determinantes da transmissão, considerando-se dimensões temporais e espaciais. Neste artigo é apresentada uma abordagem metodológica que caracteriza perfis de risco de malária em projetos de assentamento, a partir de uma análise multidisciplinar. Composta de três etapas, a abordagem combina análise espacial, geoestatística e modelos de Grade of Membership. Os resultados ressaltam a importância de medidas de controle diferenciadas de acordo com o estágio do projeto de assentamento (implementação recente ou antiga) e o nível de transmissão em cada localidade.

Malaria at colonization sites in the Brazilian Amazon is defined as frontier malaria, a complex phenomenon including biological, ecological, socioeconomic, and behavioral issues. It follows a specific temporal transition cycle lasting approximately eight years, oscillating from extremely high rates of transmission to lower and stable ones. A broader understanding of this phenomenon that would account for its spatial and temporal idiosyncrasies is a major challenge. In this article we present a methodological approach that describes malaria risk profiles based on a multidisciplinary analysis. The approach combines spatial analysis, geostatistical tools, and fuzzy-set models. Results highlight the need for spatially and temporally targeted interventions for mitigating the spread of this disease.

La transmisión de malaria en proyectos de asentamiento en la Amazonia, definida como malaria de frontera, es el resultado de un intrincado proceso, involucrando factores biológicos, ecológicos, socioeconómicos y comportamentales, presentando una transición temporal de altas a bajas tasas a lo largo de aproximadamente ocho a±os. Como resultado, uno de los grandes desafíos es la comprensión de ese proceso, a través de la identificación de las variables determinantes de la transmisión, habiéndose considerado dimensiones temporales y espaciales. En este artículo es presentado un abordaje metodológico que caracteriza perfiles de riesgo de malaria en proyectos de asentamiento, a partir de un anßlisis multidisciplinario. Compuesto de tres etapas, el abordaje combina anßlisis espacial, geoestadística y modelos de Grade of Membership. Los resultados resaltan la importancia de medidas de control diferenciadas, de acuerdo a la etapa del proyecto de asentamiento (implementación reciente o antigua) y al nivel de transmisión en cada localidad.

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A measure of local spatial association, G(i)*(d), is applied to test for the presence of malaria clusters in a colonization area in the Brazilian Amazon. Clusters of high and low malaria rates at different moments in time are identified. They suggest unambiguous spatial patterns of transmission, most likely linked to the social and natural habitat. Results imply that a comprehensive identification of the determinants of malaria transmission requires a spatial framework of analysis, and that control strategies must be spatially targeted and guided by a surveillance system that constantly learns the specificities of local transmission and adapts interventions to them.

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Frontier malaria is a biological, ecological, and sociodemographic phenomenon operating over time at three spatial scales (micro/individual, community, and state and national). We explicate these linkages by integrating data from remote sensing surveys, ground-level surveys and ethnographic appraisal, focusing on the Machadinho settlement project in Rondônia, Brazil. Spatially explicit analyses reveal that the early stages of frontier settlement are dominated by environmental risks, consequential to ecosystem transformations that promote larval habitats of Anopheles darlingi. With the advance of forest clearance and the establishment of agriculture, ranching, and urban development, malaria transmission is substantially reduced, and risks of new infection are largely driven by human behavioral factors. Malaria mitigation strategies for frontier settlements require a combination of preventive and curative methods and close collaboration between the health and agricultural sectors. Of fundamental importance is matching the agricultural potential of specific plots to the economic and technical capacities of new migrants. Equally important is providing an effective agricultural extension service.

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