La economía del cambio climático en Centroamérica: evidencia de las enfermedades sensibles al clima: serie técnica 2012

Incluye Bibliografía

Avaliação fitoquímica e microbiológica da espécie Artemisia annua L., submetida a tratamentos de armazenamento e condições de ambiente

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Estudo do modelo de Ronald Ross sobre prevenção da malária

Pós-graduação em Matemática Universitária - IGCE

Malária causada pelo Plasmodium falciparum e a redução da metahemoglobina pela via das pentoses: estudo in vitro em hemáceas de indivíduos normais e de doentes tratados pela clindamicina

Pós-graduação em Fisiopatologia em Clínica Médica - FMB

Dinâmica e estrututra populacional de Anopheles darlingi em um assentamento rural na floresta amazônica, Acre, Brasil

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise da expressão e silenciamento de genes do trato digestivo de Anopheles aquasalis

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Etnobotânica de plantas antimaláricas em Barcelos, Amazonas

Pós-graduação em Agronomia (Horticultura) - FCA

Estudo da associação entre o sistema histo-sangüíneo ABO e a malária por Plasmodium falciparum na Amazônia brasileira

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Diagnóstico molecular de arboviroses brasileiras em soros de pacientes com doença febril aguda

Pós-graduação em Microbiologia - IBILCE

As doenças infectocontagiosas em cidades de médio porte: uma abordagem qualitativa da Aids em Piracicaba/SP

Pós-graduação em Geografia - IGCE

Diagnóstico morfológico, sorológico e molecular de Plasmodium spp. em primatas neotropicais na Ilha de São Luís, Estado do Maranhão, Brasil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Inovação do método MIA-QSAR: aplicação para doenças tropicais negligenciadas

Multivariate image analysis applied to the quantitative structure-activity relationships (MIA-QSAR) is a 2D QSAR technique that has been presenting promising outcomes for the development of new drug candidates, due to its simplicity, rapidity and low cost. In this way, the present study aims at introducing, consolidating and improving the new dimensions named aug-MIA-QSAR and aug-MIA-QSARcolor, as well as applying them to the study of neglected diseases, in order to obtain new drug targets using chemico-biological interpretation of the MIA molecular descriptors. Four compound data sets with experimental bioactivities against Chagas disease, malaria, dengue and schistosomiasis were evaluated using three approaches: MIA-QSARt, aug-MIA-QSAR and aug-MIA-QSARcolor. In general, representations of atoms as spheres with different colors and sizes proportional to the corresponding van der Waals radii (aug-MIA approaches) improved the predictive ability and interpretability in all data sets. The use of colors proportional to the Pauling´s electronegativity showed that MIA descriptors are capable of identifying periodic properties relevant for the studied activity. Finally, solid colors instead of spotlighted atoms allowed a correct identification of atoms by means of pixel values in the studies for malaria, dengue and schistosomiasis, which were, subsequently, useful for the chemical interpretation related to the bioactivity. It can be inferred that semicarbazones and thiosemicarbazones derivative with a tri-substituted ring in R1 group and a trifluoro methyl group in the R 3 position instead of a chlorine antitripanossoma resulted in higher activity. The antimalarial activity of quinolon-4(1H)imines can be improved if: 1) R1 and R2 are electron donor groups, 2) R3 has long aminoalkyl chains, and 3) R4 possesses substituents with big atomic volume. In the study for dengue, it was found that tetrapeptides with unbranched small size amino acids in the A1 and A4 positions can increase the substrate affinity (Km) to the NS3 protein, and when in A1 and A2 positions, the substrate cleavage rate (kcat). On the other hand, acidic amino acids in the A2 and A4 positions were found to be related with low substrate affinity to the NS3 protein and when present in A1, with low substrate cleavage rate. Finally, the presence of metoxy substituents in R1 (or R2) and R5 in the neolignan backbone can favor their antischistosomal activity.

An economic assessment of the impact of climate change on the health sector in Montserrat

Climate change has the potential to impact on global, regional, and national disease burdens both directly and indirectly. Projecting and valuing these health impacts is important not only in terms of assessing the overall impact of climate change on various parts of the world, but also in terms of ensuring that national and regional decision-making institutions have access to the data necessary to guide investment decisions and future policy design. This report contributes to the research focusing on projecting and valuing the impacts of climate change in the Caribbean by projecting the climate change-induced excess disease burden for two climate change scenarios in Montserrat for the period 2010 - 2050, and by estimating the monetary value associated with this excess disease burden. The diseases initially considered in this report are variety of vector and water-borne impacts and other miscellaneous conditions; specifically, malaria, dengue fever, gastroenteritis/diarrheal disease, schistosomiasis, leptospirosis, ciguatera poisoning, meningococcal meningitis, and cardio-respiratory diseases. Disease projections were based on derived baseline incidence and mortality rates, available dose-response relationships found in the published literature, climate change scenario population projections for the A2 and B2 IPCC SRES scenario families, and annual temperature and precipitation anomalies as projected by the downscaled ECHAM4 global climate model. Monetary valuation was based on a transfer value of statistical life approach with a modification for morbidity. Using discount rates of 1%, 2% and 4%, results show mean annual costs (morbidity and mortality) ranges of $0.61 million (in the B2 scenario, discounted at 4% annually) – $1 million (in the A2 scenario, discounted at 1% annually) for Montserrat. These costs are compared to adaptation cost scenarios involving increased direct spending on per capita health care. This comparison reveals a high benefit-cost ratio suggesting that moderate costs will deliver significant benefit in terms of avoided health burdens in the period 2010-2050. The methodology and results suggest that a focus on coordinated data collection and improved monitoring represents a potentially important no regrets adaptation strategy for Montserrat. Also the report highlights the need for this to be part of a coordinated regional response that avoids duplication in spending.

An assessment of the economic impact Of climate change on the health sector in Saint Lucia

Climate change has the potential to impact on global, regional, and national disease burdens both directly and indirectly. Projecting and valuing these health impacts is important not only in terms of assessing the overall impact of climate change on various parts of the world, but also of ensuring that national and regional decision-making institutions have access to the data necessary to guide investment decisions and future policy design. This report contributes to the research focusing on projecting and valuing the impacts of climate change in the Caribbean by projecting the climate change-induced excess disease burden for two climate change scenarios in Saint Lucia for the period 2010 - 2050, and by estimating the non-market, statistical life-based costs associated with this excess disease burden. The diseases initially considered in this report are a variety of vector and water-borne impacts and other miscellaneous conditions; specifically, malaria, dengue fever, gastroenteritis/diarrhoeal disease, schistosomiasis, leptospirosis, ciguatera poisoning, meningococcal meningitis, and cardio-respiratory diseases. Disease projections were based on derived baseline incidence and mortality rates, available dose-response relationships found in the published literature, climate change scenario population projections for the A2 and B2 IPCC SRES scenario families, and annual temperature and precipitation anomalies as projected by the downscaled ECHAM4 global climate model. Monetary valuation was based on a transfer value of statistical life approach with a modification for morbidity. Using discount rates of 1, 2, and 4%, results show mean annual costs (morbidity and mortality) ranges of $80.2 million (in the B2 scenario, discounted at 4% annually) -$182.4 million (in the A2 scenario, discounted at 1% annually) for St. Lucia.1 These costs are compared to adaptation cost scenarios involving direct and indirect interventions in health care. This comparison reveals a high benefit-cost ratio suggesting that moderate costs will deliver significant benefit in terms of avoided health costs from 2010-2050. In this context indirect interventions target sectors other than healthcare (e.g. water supply). It is also important to highlight that interventions can target both the supply of health infrastructure (including health status and disease monitoring), and households. It is suggested that a focus on coordinated data collection and improved monitoring represents a potentially important no regrets adaptation strategy for St Lucia. Also, the need for this to be part of a coordinated regional response that avoids duplication in spending is highlighted.

Evaluación de los impactos del cambio climático sobre la salud: economía del cambio climático en la Argentina

Mientras que los países desarrollados presentan un 2% de su población infectada con parásitos o enfermedades infecciosas, los países en desarrollo alcanzan el 40%. Esto está asociado a las diferencias socioeconómicas reflejadas en la nutrición, sanidad, calidad de viviendas, condiciones de trabajo y servicios de salud. Por este motivo, el efecto del cambio climático sobre la salud en estos países debe centrarse en estas convalecencias. Argentina se encuentra en el límite sur de la distribución del dengue y la malaria en América del Sur, y es por ello que el estudio del riesgo de estas enfermedades frente a cambios climáticos es de suma importancia.