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1.
Arne Bomblies 《Climatic change》2012,112(3-4):673-685
Seasonal total precipitation is well known to affect malaria transmission because Anopheles mosquitoes depend on standing water for breeding habitat. However, the within-season temporal pattern of the rainfall influences persistence of standing water and thus rainfall patterns can also affect mosquito population dynamics in water-limited environments. Here, using a numerical simulation, I show that intraseasonal rainfall pattern accounts for 39% of the variance in simulated mosquito abundance in a Niger Sahel village where malaria is endemic but highly seasonal. I apply a field validated coupled hydrology and entomology model. Using synthetic rainfall time series generated using a stationary first-order Markov Chain model, I hold all variables except hourly rainfall constant, thus isolating the contribution of rainfall pattern to variance in mosquito abundance. I further show the utility of hydrology modeling using topography to assess precipitation effects by analyzing collected water. Time-integrated surface area of pools explains 70% of the variance in simulated mosquito abundance from a mechanistic model, and time-integrated surface area of pools persisting longer than 7?days explains 82% of the variance. Correlations using the hydrology model output explain more variance in mosquito abundance than the 60% from rainfall totals. I extend this analysis to investigate the impacts of this effect on malaria vector mosquito populations under climate shift scenarios, holding all climate variables except precipitation constant. In these scenarios, rainfall mean and variance change with climatic change, and the modeling approach evaluates the impact of non-stationarity in rainfall and the associated rainfall patterns on expected mosquito activity. 相似文献
2.
Water management practices and access to safe water supplies have major implications for human health. While a range of assessments has been developed to assess water vulnerability, limited work has extended these concepts to health and wellbeing. Water-associated disease cycles are characterized by complex linkages between social and ecological determinants, thus conceptualizing vulnerability in the context of health offers a useful framework for analysis. This paper applies a water associated disease index (WADI) as a tool to deepen understanding of changing vulnerability to dengue, comparing conditions in 2000 and 2010 in Pernambuco, Northeast Brazil. Multi-dimensional data were integrated into indicators of exposure and susceptibility using the WADI approach, including water access, land cover, climate, and solid waste collection, and outputs were validated and visualized in map form. The findings illustrate heterogeneous patterns of vulnerability to dengue in the region, and highlight trends of seasonal and long-term changes. Highest vulnerability was observed in densely populated Recife and the surrounding coastal region in both time periods, with climate conditions creating seasonal trends in exposure to dengue. While more remote areas in the semi-arid Sertão showed low vulnerability overall, increases were observed in some areas between 2000 and 2010 due to land use intensification and growing population densities. These findings suggest that interventions should consider the dynamic nature of social and ecological factors that contribute to health outcomes and address current as well as future populations vulnerable to dengue transmission. This vulnerability mapping approach can be applied to other water-associated diseases impacted by global environmental change to highlight priority areas for further investigation and contribute towards improving interventions. 相似文献
3.
Considerable interest exists inthe potential role climate may play in human healthissues, especially regarding the effect of climatechange on vector-borne disease. The Aedesaegypti mosquito, the principal vector for dengue,considered the most important vector-borne viraldisease in the world, is particularly susceptible toclimate variability and climatic change. Here wepresent a modeling analysis focusing on global-scaleassociations between climate and the development,potential distribution, and population dynamics ofAe. aegypti. We evaluate the model by comparingand contrasting model data with observed mosquitodensities. There is good agreement between theobserved and modeled global distribution of themosquito; however, the model results suggest thepotential for increased latitudinal distributionsduring warmer months. Seasonal fluctuations inmosquito abundance also compare well to observed data. Discrepancies possibly reflect the relatively lowresolution of the climate data and model output andthe inability of the model to account for localmicroclimate effects, especially in coastal areas.Future modeling efforts will involve study ofinterannual variability in mosquito dynamics. 相似文献
4.
Global estimates of the potential impact of climate change on malaria transmission were calculated based on future climate scenarios produced by the HadCM2 and the more recent HadCM3 global climate models developed by the UK Hadley Centre. This assessment uses an improved version of the MIASMA malaria model, which incorporates knowledge about the current distributions and characteristics of the main mosquito species of malaria.The greatest proportional changes in potential transmission are forecast to occur in temperate zones, in areas where vectors are present but it is currently too cold for transmission. Within the current vector distribution limits, only a limited expansion of areas suitable for malaria transmission is forecast, such areas include: central Asia, North America and northern Europe. On a global level, the numbers of additional people at risk of malaria in 2080 due to climate change is estimated to be 300 and 150 million for P. falciparum and P. vivax types of malaria, respectively, under the HadCM3 climate change scenario. Under the HadCM2 ensemble projections, estimates of additional people at risk in 2080 range from 260 to 320 million for P. falciparum and from 100 to 200 million for P. vivax. Climate change will have an important impact on the length of the transmission season in many areas, and this has implications for the burden of disease. Possible decreases in rainfall indicate some areas that currently experience year-round transmission may experience only seasonal transmission in the future. Estimates of future populations at risk of malaria differ significantly between regions and between climate scenarios. 相似文献
5.
Researchers of climate change have suggested that climate change and variability has a significant influence on the epidemiology of infectious diseases, particularly vector-borne diseases. The purpose of this study is to explore how climate conditions and the dengue fever epidemic in Taiwan are related and to estimate the economic impact of climate change on infectious diseases. To achieve these objectives, two different methods, one involving the Panel data model and the other the Contingent Valuation Method (CVM), are applied in this study. At first, we use the Panel data model to assess the relationship between climate conditions and the number of people infected by dengue fever during the period from January 2000 to February 2006 in 308 cities and townships in the Taiwan. The results of the empirical estimation indicate that climate conditions have an increasingly significant impact on the probability of people being infected by dengue fever. The probability of being infected by dengue fever due to climate change is then calculated and is found to range from 12% to 43% to 87% which represent low, mid, and high probabilities of infection caused by climate change when the temperature is increased by 1.8°C. The respondent’s willingness to pay (WTP) is also investigated in the survey using the single-bounded dichotomous choice (SBDC) approach, and the results show that people would pay NT$724, NT$3,223 and NT$5,114 per year in order to avoid the increased probabilities of 12%, 43%, and 87%, respectively, of their being infected with dengue fever. 相似文献
6.
One of the most protracted post-Soviet conflicts of the 1990s was a territorial dispute between Armenia and Azerbaijan over the contested Karabakh region. Years of ethnic violence led to the displacement of nearly a million refugees, as well as a public health crisis that included epidemics of malaria, diphtheria and other preventable diseases. Malaria is not usually considered a health risk in temperate climates, but seasonal epidemics were widespread throughout the Caucasus in the early decades of the twentieth century. This paper combines qualitative historical research with geospatial analysis to explore how endemic malaria was controlled during the Soviet era, and how ethnic conflict reconfigured local ecologies to facilitate the re-emergence of P. vivax after the Soviet collapse in the 1990s. This research reveals that ethnic conflicts have specific qualities that increase risks of infectious and vector borne disease outbreaks, even in places that have successfully achieved a modern health and mortality profile. The risk amplifiers of ethnic conflicts include 1) the creation of contested spaces controlled by separatists that are outside of any national public health surveillance system; 2) mass population movements and refugee outflows due to ethnic violence; and 3) changes in land use that expand potential mosquito breeding sites throughout the conflict zone. Continued hostilities between Armenia and Azerbaijan, combined with the repopulation of key vector species (specifically An. sacharovi) lead us to conclude that populations in the Caucasus remain vulnerable to resurgent outbreaks of ethno-nationalist violence as well as the return of seasonal malaria, even after decades of successful control. 相似文献
7.
基于1958—2018年中国北方冬小麦主产区8个主产省（市）小麦蚜虫发生面积、防治面积和小麦播种面积、产量损失、561个气象站点逐日气象资料和典型农业气象站小麦发育期资料,采用相关分析、主成分分析和回归分析等方法,构建华北、黄淮及苏皖地区小麦蚜虫分区域的气候致灾指数。以小麦蚜虫年代际气候致灾指数所划分不同致灾等级发生频次作为小麦蚜虫气候危险性指标,采用小麦蚜虫发生面积率作为脆弱性指标,防治面积与发生面积比值作为防灾减灾能力指标,综合评估小麦蚜虫气候风险趋势。结果表明:北方冬小麦主产区小麦蚜虫气候危险性呈增加态势,年代际差异明显;小麦蚜虫发生脆弱性随年代变化也呈逐步加重态势;小麦蚜虫防灾减灾能力总体呈逐步增强趋势,20世纪90年代提升显著;90年代起小麦蚜虫气候风险逐步加重,高风险范围逐渐扩大,华北、黄淮分别于21世纪初、2011—2018年风险等级达最高;小麦蚜虫气候风险高的区域主要分布在北京、天津、河北中南部大部、山东北部部分地区,较高区域分布在山东大部、河南北部等地。 相似文献
8.
采用信息传递量作为度量气候可预报性的指标，分别讨论了我国各大气候区的１０个代表测站平均气温的可预报性。数值计算表明，各种不同时间尺度信息传递量具有不同的衰减特征，其差异反映出实际气候背景的差异，信息传递量较好地代表了可预报性特征。由于实测的信息衰减与模式信息衰减具有一致性，因此，信息传递可作为检验模式可预报性的有益工具。 相似文献
9.
Climate is one of the most of influential natural factors on society and economy. One of the consequences of climate anomalies is the emergence of diseases and epidemics, especially in agrarian societies. The current concern with long-term climate change and its measurable consequences on health and disease gives new relevance to the question of how agrarian societies fared during sharp droughts and other climatic hardships, especially those subject to the disruptive processes of colonization. Not many studies have been done in Latin America that relate climate, epidemics and mortality from a historical perspective. This paper explores the association between climatic anomalies, epidemic events, and native demographic decline in the Alto Peru region in the highlands of Bolivia, in the late eighteenth and early nineteenth century. Studies of historic climatology indicate that adverse climate events became more frequent in the southern areas of South America during these centuries. There were extreme oscillations in precipitation, especially beginning in the 1750’s which significantly impacted the largest group of people in late colonial Alto Peru: the indigenous population, whose vulnerability increased in face of local climatic anomalies and the resulting epidemiological risk. Both the quantitative and the qualitative analysis show associations between climatic and epidemic events. 相似文献
10.
深圳市在人口结构和经济社会发展方面很特殊,而对于其热带向副热带过渡的气候特征对流感发病的影响仍缺乏深入研究。本研究收集长序列（2003—2019年）的深圳市流感样病例（Influenza Like Illness,ILI）监测数据,采用分布滞后非线性模型（DLNM）系统分析了ILI与多种气象因子的关联,并分别使用Prophet时间序列和多元逐步回归模型对流感风险进行预报。近17年来深圳ILI发病在2003—2009年增加、2010—2014年平稳、2015—2019年下降,年周期特征凸显;多数年份发病率呈夏季单峰型,与高温、高湿的气候背景高度相符;个别年份在年末出现次高峰,常与大规模暴发疫情有关。DLNM揭示,高温对ILI风险的即时性影响较强,气温达到29.9℃,相对危险度值（RR）可达1.237（95%置信区间（95%CI）:1.203—1.272）;而低温效应在滞后2—3周起主导作用。70%—75%的湿度范围对应ILI高风险段, 70%相对湿度的RR为1.089（95%CI:1.046—1.135）。偏高的湿度与高温共存可诱使ILI最高风险点出现,即二者有协同增强效应,在其长夏短冬气候下尤其需要注意。ILI危险度在气温日较差为4—6℃或>9℃时均有显著增加,即日内温差对流感的活跃程度亦有显著影响;由于深圳的风速整体较小,其影响整体较弱。Prophet时间序列模型和逐步回归模型的回报准确率相近（>86%）,而同时考虑了气象因子和前期发病人数的回归模型预测准确率更高（>80%）。简言之,深圳市ILI风险与温、湿度的非线性协同影响关系最为密切,其发病率很大程度上是可预测的。 相似文献
11.
以四川烤烟主产区冰雹灾害为研究对象,将烤烟气候适应性特征和自然灾害系统论相结合,利用冰雹频率、DEM高程数据、下垫面类型以及农业经济数据等资料,构建冰雹灾害风险评估指标体系,从致灾因子危险性、孕灾环境敏感性、承灾体易损性和抗灾能力4个方面进行分析,最终建立四川烤烟主产区冰雹灾害精细化风险评估模型并计算风险分布指数,借此将攀西烟区划分为由高至低的5个风险区域和1个不适宜种植区。结果表明,安宁河源头河谷地区、雅砻江下游流域以及攀西地区南部的河谷低山区和丘陵区冰雹灾害风险处于较高水平。评估结果为区域烤烟种植结构调整及冰雹灾害防御工作提供了科学指导。 相似文献
12.
The Evolutionary Modeling and Short-range Climatic Prediction for Meteorological Element Time Series 
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下载免费PDF全文 1. Introduction Let us suppose that the meteorological element series is the set of solution by integrating a perfect cli- matic numerical model with certain initial conditions, boundary conditions etc., thus it is also the concen- trated expression of nonlinear interaction between all climatic factors (including itself) in the model. Be- cause of limited understanding the mechanism of cli- matic system changes, the unsolved problems are not less than the solved ones in the climatic numerical … 相似文献
13.
Based on conclusions drawn from general climatic impact assessmentin mountain regions, the review synthesizes results relevant to the European Alps published mainly from 1994 onward in the fields of population genetics, ecophysiology, phenology, phytogeography, modeling, paleoecology and vegetation dynamics. Other important factors of global change interacting synergistically with climatic factors are also mentioned, such as atmospheric CO2 concentration, eutrophication, ozone or changes in land-use. Topics addressed are general species distribution and populations (persistence, acclimation, genetic variability, dispersal, fragmentation, plant/animal interaction, species richness, conservation), potential response of vegetation (ecotonal shift – area, physiography – changes in the composition, structural changes), phenology, growth and productivity, and landscape. In conclusion, the European Alps appear to have a natural inertia and thus to tolerate an increase of 1–2 K of mean air temperature as far as plant species and ecosystems are concerned in general. However, the impact of land-use is very likely to negate this buffer in many areas. For a change of the order of 3 K or more, profound changes may be expected. 相似文献
14.
中国地区硫酸盐气溶胶的分布特征 总被引：13，自引：2，他引：11
建立了一个三维欧拉型排放/输送/转化/沉降模式,其主要特点是采用独立的气相化学子模式计算各种不同条件下SO2的转化速率,建立转化率的数据库,直接为欧拉模式调用,并对液相化学和湿清除过程进行了参数化处理。这样使模式既考虑了大气化学过程的非线性,又具有较高的计算效率,能够方便地计算年（季）尺度的硫酸盐气溶胶SO2-4的浓度分布。利用中尺度气象模式MM4和欧拉输送模式模拟了中国地区硫酸盐气溶胶的时空分布,其结果可以方便地应用到考虑硫酸盐气溶胶气候效应的气候模式中去。 相似文献
15.
基于GIS的雪灾风险区划 总被引：2，自引：0，他引：2
依据巴彦淖尔地区冬春季节降水少、年变率大的气候特点和易形成雪灾的量级指标进行雪灾风险区划。选取1971—2010年11月到次年3月,日降雪量大于等于3mm,并出现积雪和结冰现象为研究对象,分析了降雪量大于等于3mm的降雪日数和积雪深度大于等于5cm的积雪日数年代际变化,结合民政部门历史灾情记载、实地调查、农牧业现状以及各种基础资料数据与GIS技术,从致灾因子、脆弱性评估分析方面,在NOAA卫星遥感雪覆盖监测图像上,利用加权综合与层次分析法,构建雪灾判别模型,得出巴彦淖尔地区雪灾风险区划:雪灾最严重的地区为五原县大部、乌前旗南部和东北部部分区域、乌中旗东南和西南两区域、乌后旗的海力素附近大片区域。 相似文献
16.
The thesis of this paper is that impacts from climatic change can be evaluated effectively as changes in the frequency of short-term, anomalous climatic events. These can then be expressed as changes in the level of risk of impact from climatic extremes. To evaluate this approach, the risk of crop failure resulting from low levels of accumulated temperature is assessed for oats farming in southern Scotland. Annual accumulated temperatures are calculated for the 323-year-long temperature record compiled by Manley for Central England. These are bridged across to southern Scotland and, by calculating mean levels of risk for different elevations, an average risk surface is constructed. One-in-10 and 1-in-50 frequencies of crop failure are assumed to delineate a high-risk zone, which is mapped for the 323-year period by constructing isopleths of these risk levels. By redrawing the risk isopleths for warm and cool 50-year periods, the geographical shift of the high-risk zone is delineated. The conclusion is that relatively recent and apparently minor climatic variations in the United Kingdom have in fact induced substantial spatial changes in levels of agricultural risk. An advantage of expressing climatic change as a change in agricultural risk is that support programs for agriculture can be retuned to accommodate acceptable frequencies of impact by adjusting support levels to match new risk levels. 相似文献
17.
Global assessment of the potential impacts of anthropogenically-induced climate change on vector-borne diseases suggests an increase in extent of the geographical areas susceptible to transmission of malarial Plasmodium parasites, dengue Flavivirus and Schistosoma worms. The transmission potential of the three associated vector-borne diseases studied is highly sensitive to climate changes on the periphery of the currently endemic areas and at higher altitudes within such areas. Our findings vis-à-vis the present endemic areas indicate that the increase in the epidemic potential of malaria and dengue transmission may be estimated at 12–27% and 31–47%, respectively, while in contrast, schistosomiasis transmission potential may be expected to exhibit a 11–17% decrease. 相似文献
18.
This paper statistically analyzes the effects of climatic natural disasters and political risk on bilateral trade in a large-N sample of countries and years. Our theory suggests that the effects of these forces on trade need to be studied together and that the two forces may interact with one another. In the statistical analysis, the unit of analysis is a pair of countries and the model is based on the trade gravity design. The results show that the direct effects of increases in the incidence of disasters and the political risk level in the importer or the exporter countries are negative, reducing trade. The results for the interaction between the two forces show (1) as the incidence of disasters increases, the marginal effect of political risk on trade becomes more negative, which indicates a greater decline in trade and (2) as political risk declines the marginal effect of disasters becomes less negative, indicating a smaller decline in trade. Additional analyses demonstrate the robustness of these results to changes in model specification, disaster measure, and estimation method. In the bigger picture, our findings suggest that if climate change increases the incidence of climatic disasters as projections of the global science suggest, the growth of economic globalization may decline, ceteris paribus. 相似文献
19.
Colombia has had one of the largest numbers of internally displaced populations in the world and in 2016 entered a period of post-conflict. These socio-ecological and geopolitical processes and trends have increased the migration of people towards cities and accordingly are affecting the distribution and occurrence of tropical diseases in its urban and peri-urban areas. Studies have suggested that anthropogenic phenomena such as urbanization scale according to the size of human populations regardless of cultural context. But, other studies show that health epidemics such as malarial and human immunodeficiency virus infections, follow a scale-free distribution in terms of urban population size and density. Here, we explore these relationships and dynamics in a tropical context using statistical analyses and available geospatial data to identify the scale relationships between urban growth processes and disease transmission in Colombia. Our results show that the dynamics of rural populations and certain diseases were characterized by power-laws that are indeed observed in urbanization studies. However, as opposed to these other studies, we found that malaria presented a higher intensity of infection in human settlements with less than 50,000 individuals and in particular for ethnic, indigenous populations. Results indicate that disease and urbanization relationships in Colombia do indeed follow scales; findings that differ from previous epidemiological studies such as those for malarial infection. Additionally, we identified trends showing that malarial infections become endemic in peri-urban areas. This approach using few, but robust and readily available, data is key for managing public health issues and understanding the spatial distribution of environmental impacts in the urbanizing tropics. 相似文献
20.