This page has only limited features, please log in for full access.
As a source of emerging infectious diseases, wildlife assemblages (and related spatial patterns) must be quantitatively assessed to help identify high-risk locations. Previous assessments have largely focussed on the distributions of individual species; however, transmission dynamics are expected to depend on assemblage composition. Moreover, disease-diversity relationships have mainly been studied in the context of species loss, but assemblage composition and disease risk (e.g., infection prevalence in wildlife assemblages) can change without extinction. Based on the predicted distributions and abundances of 4,466 mammal species, we estimated global patterns of disease risk through the calculation of the community-level basic reproductive ratio R0, an index of invasion potential, persistence, and maximum prevalence of a pathogen in a wildlife assemblage. For density-dependent diseases, we found that, in addition to tropical areas which are commonly viewed as infectious disease hotspots, northern temperate latitudes included high-risk areas. We also forecasted the effects of climate change and habitat loss from 2015 to 2035. Over this period, many local assemblages showed no net loss of species richness, but the assemblage composition (i.e., the mix of species and their abundances) changed considerably. Simultaneously, most areas experienced a decreased risk of density-dependent diseases but an increased risk of frequency-dependent diseases. We further explored the factors driving these changes in disease risk. Our results suggest that biodiversity and changes therein jointly influence disease risk. Understanding these changes and their drivers and ultimately identifying emerging infectious disease hotspots can help health officials prioritise resource distribution.
Yingying X. G. Wang; Kevin D. Matson; Luca Santini; Piero Visconti; Jelle P. Hilbers; Mark A. J. Huijbregts; Yanjie Xu; Herbert H. T. Prins; Toph Allen; Zheng Y. X. Huang; Willem F. de Boer. Mammal assemblage composition predicts global patterns in emerging infectious disease risk. Global Change Biology 2021, 1 .
AMA StyleYingying X. G. Wang, Kevin D. Matson, Luca Santini, Piero Visconti, Jelle P. Hilbers, Mark A. J. Huijbregts, Yanjie Xu, Herbert H. T. Prins, Toph Allen, Zheng Y. X. Huang, Willem F. de Boer. Mammal assemblage composition predicts global patterns in emerging infectious disease risk. Global Change Biology. 2021; ():1.
Chicago/Turabian StyleYingying X. G. Wang; Kevin D. Matson; Luca Santini; Piero Visconti; Jelle P. Hilbers; Mark A. J. Huijbregts; Yanjie Xu; Herbert H. T. Prins; Toph Allen; Zheng Y. X. Huang; Willem F. de Boer. 2021. "Mammal assemblage composition predicts global patterns in emerging infectious disease risk." Global Change Biology , no. : 1.
Migration can influence dynamics of pathogen-host interactions. However, it is not clearly known how migration pattern, in terms of the configuration of the migration network and the synchrony of migration, affects infection prevalence. We therefore applied a discrete-time SIR model, integrating environmental transmission and migration, to various migration networks, including networks with serial, parallel, or both serial and parallel stopover sites, and with various levels of migration synchrony. We applied the model to the infection of avian influenza virus in a migratory geese population. In a network with only serial stopover sites, increasing the number of stopover sites reduced infection prevalence, because with every new stopover site, the amount of virus in the environment was lower than that in the previous stopover site, thereby reducing the exposure of the migratory population. In a network with parallel stopover sites, both increasing the number and earlier appearance of the stopover sites led to an earlier peak of infection prevalence in the migratory population, because the migratory population is exposed to larger total amount of virus in the environment, speeding-up the infection accumulation. Furthermore, higher migration synchrony reduced the average number of cumulative infection, because the majority of the population can fly to a new stopover site where the amount of virus is still relatively low and has not been increased due to virus shedding of infected birds. Our simulations indicate that a migration pattern with multiple serial stopover sites and with highly synchronized migration reduces the infection prevalence.
Shenglai Yin; Henrik J. De Knegt; Mart C.M. De Jong; Yali Si; Herbert H.T. Prins; Zheng Y.X. Huang; Willem F. De Boer. Effects of migration network configuration and migration synchrony on infection prevalence in geese. Journal of Theoretical Biology 2020, 502, 110315 .
AMA StyleShenglai Yin, Henrik J. De Knegt, Mart C.M. De Jong, Yali Si, Herbert H.T. Prins, Zheng Y.X. Huang, Willem F. De Boer. Effects of migration network configuration and migration synchrony on infection prevalence in geese. Journal of Theoretical Biology. 2020; 502 ():110315.
Chicago/Turabian StyleShenglai Yin; Henrik J. De Knegt; Mart C.M. De Jong; Yali Si; Herbert H.T. Prins; Zheng Y.X. Huang; Willem F. De Boer. 2020. "Effects of migration network configuration and migration synchrony on infection prevalence in geese." Journal of Theoretical Biology 502, no. : 110315.
Lyme disease, recognized as one of the most important vector-borne diseases worldwide, has been increasing in incidence and spatial extend in United States. In the Northeast and Upper Midwest, Lyme disease is transmitted by Ixodes scapularis. Currently, many studies have been conducted to identify factors influencing Lyme disease risk in the Northeast, however, relatively few studies focused on the Upper Midwest. In this study, we explored and compared the climatic and landscape factors that shape the spatial patterns of human Lyme cases in these two regions, using the generalized linear mixed models. Our results showed that climatic variables generally had opposite correlations with Lyme disease risk, while landscape factors usually had similar effects in these two regions. High precipitation and low temperature were correlated with high Lyme disease risk in the Upper Midwest, while with low Lyme disease risk in the Northeast. In both regions, size and fragmentation related factors of residential area showed positive correlations with Lyme disease risk. Deciduous forests and evergreen forests had opposite effects on Lyme disease risk, but the effects were consistent between two regions. In general, this study provides new insight into understanding the differences of risk factors of human Lyme disease risk in these two regions.
Yuting Dong; Zheng Huang; Yong Zhang; Yingying X.G. Wang; Yang La. Comparing the Climatic and Landscape Risk Factors for Lyme Disease Cases in the Upper Midwest and Northeast United States. International Journal of Environmental Research and Public Health 2020, 17, 1548 .
AMA StyleYuting Dong, Zheng Huang, Yong Zhang, Yingying X.G. Wang, Yang La. Comparing the Climatic and Landscape Risk Factors for Lyme Disease Cases in the Upper Midwest and Northeast United States. International Journal of Environmental Research and Public Health. 2020; 17 (5):1548.
Chicago/Turabian StyleYuting Dong; Zheng Huang; Yong Zhang; Yingying X.G. Wang; Yang La. 2020. "Comparing the Climatic and Landscape Risk Factors for Lyme Disease Cases in the Upper Midwest and Northeast United States." International Journal of Environmental Research and Public Health 17, no. 5: 1548.
Urban natural surfaces and non-surface human activities are key factors determining the urban heat island (UHI), but their relative importance remains highly controversial and may vary at different spatial scales and focal urban systems. However, systematic studies on the scale-dependency system-specificity remain largely lacking. Here, we selected 32 major Chinese cities as cases and used Landsat 8 images to retrieve land surface temperature (LST) and quantify natural surface variables using point of interest (POI) data as a measure of the human activity variable and using multiple regression and relative weight analysis to study the contribution and relative importance of these factors to LST at a range of grain sizes (0.25–5 km) and spatial extents (20–60 km). We revealed that the contributions and relative importance of natural surfaces and human activities are largely scale-dependent and system-specific. Natural surfaces, especially vegetation cover, are often the most important UHI determinants for a majority of scales, but the importance of non-surface human activities is increasingly pronounced at a coarser spatial scale with respect to both grain and spatial extent. The scaling relations of the UHI determinants and their relative importance were mostly linear-like at the city-collective level, but highly diverse across individual cities, so reducing non-surface heat emissions could be the most effective measure in particular cases, especially at relatively large spatial scales. This study advances the understanding of UHI formation mechanisms and highlights the complexity of the scale issue underpinning the UHI effect.
Xiali Luan; Zhaowu Yu; Yuting Zhang; Sheng Wei; Xinyu Miao; Zheng Y. X. Huang; Shuqing N. Teng; Chi Xu. Remote Sensing and Social Sensing Data Reveal Scale-Dependent and System-Specific Strengths of Urban Heat Island Determinants. Remote Sensing 2020, 12, 391 .
AMA StyleXiali Luan, Zhaowu Yu, Yuting Zhang, Sheng Wei, Xinyu Miao, Zheng Y. X. Huang, Shuqing N. Teng, Chi Xu. Remote Sensing and Social Sensing Data Reveal Scale-Dependent and System-Specific Strengths of Urban Heat Island Determinants. Remote Sensing. 2020; 12 (3):391.
Chicago/Turabian StyleXiali Luan; Zhaowu Yu; Yuting Zhang; Sheng Wei; Xinyu Miao; Zheng Y. X. Huang; Shuqing N. Teng; Chi Xu. 2020. "Remote Sensing and Social Sensing Data Reveal Scale-Dependent and System-Specific Strengths of Urban Heat Island Determinants." Remote Sensing 12, no. 3: 391.
Understanding risk factors for the spread of infectious diseases over time and across the landscape is critical for managing disease risk. While habitat connectivity and characteristics of local and neighboring animal (i.e., host) assemblages are known to influence the spread of diseases, the interactions among these factors remain poorly understood. In this study, we conducted a county-level analysis to test the effects of forest connectivity, together with the suitability of local assemblage (measured by the similarity of local host assemblage with neighboring assemblages) and the infection intensity of neighboring counties on the spatial expansion of Lyme disease in the United States. Our results suggested that both the similarity of local host assemblage and the infection intensity of neighboring counties were positively correlated with the probability of disease spread. Moreover, we found that increasing forest connectivity could facilitate the positive effect of neighbor infection intensity. In contrast, the effect size of the host assemblage similarity decreased with increasing connectivity, suggesting that host assemblage similarity was less effective in well-connected habitats. Our results thus indicate that habitat connectivity can indirectly influence disease spread by mediating the effects of other risk factors.
Yingying X. G. Wang; Kevin D. Matson; Yanjie Xu; Herbert H. T. Prins; Zheng Y. X. Huang; Willem F. De Boer. Forest Connectivity, Host Assemblage Characteristics of Local and Neighboring Counties, and Temperature Jointly Shape the Spatial Expansion of Lyme Disease in United States. Remote Sensing 2019, 11, 2354 .
AMA StyleYingying X. G. Wang, Kevin D. Matson, Yanjie Xu, Herbert H. T. Prins, Zheng Y. X. Huang, Willem F. De Boer. Forest Connectivity, Host Assemblage Characteristics of Local and Neighboring Counties, and Temperature Jointly Shape the Spatial Expansion of Lyme Disease in United States. Remote Sensing. 2019; 11 (20):2354.
Chicago/Turabian StyleYingying X. G. Wang; Kevin D. Matson; Yanjie Xu; Herbert H. T. Prins; Zheng Y. X. Huang; Willem F. De Boer. 2019. "Forest Connectivity, Host Assemblage Characteristics of Local and Neighboring Counties, and Temperature Jointly Shape the Spatial Expansion of Lyme Disease in United States." Remote Sensing 11, no. 20: 2354.
Studies on the highly pathogenic avian influenza (HPAI) H5N1 suggest that wild bird migration may facilitate its long-distance spread, yet the role of wild bird community composition in its transmission risk remains poorly understood. Furthermore, most studies on the diversity-disease relationship focused on host species diversity without considering hosts' phylogenetic relationships, which may lead to rejecting a species diversity effect when the community has host species that are only distantly related. Here, we explored the influence of waterbird community composition for determining HPAI H5N1 occurrence in wild birds in a continental-scale study across Europe. In particular, we tested the diversity-disease relationship using both host species diversity and host phylogenetic diversity. Our results provide the first demonstration that host community composition-compared with previously identified environmental risk factors-can also effectively explain the spatial pattern of H5N1 occurrence in wild birds. We further show that communities with more higher risk host species and more closely related species have a higher risk of H5N1 outbreaks. Thus, both host species diversity and community phylogenetic structure, in addition to environmental factors, jointly influence H5N1 occurrence. Our work not only extends the current theory on the diversity-disease relationship, but also has important implications for future monitoring of H5N1 and other HPAI subtypes.
Zheng Y. X. Huang; Chi Xu; Frank Van Langevelde; Yuying Ma; Tom Langendoen; Taej Mundkur; Yali Si; Huaiyu Tian; Robert H. S. Kraus; Marius Gilbert; Guan‐Zhu Han; Xiang Ji; Herbert H. T. Prins; Willem F. De Boer. Contrasting effects of host species and phylogenetic diversity on the occurrence of HPAI H5N1 in European wild birds. Journal of Animal Ecology 2019, 88, 1044 -1053.
AMA StyleZheng Y. X. Huang, Chi Xu, Frank Van Langevelde, Yuying Ma, Tom Langendoen, Taej Mundkur, Yali Si, Huaiyu Tian, Robert H. S. Kraus, Marius Gilbert, Guan‐Zhu Han, Xiang Ji, Herbert H. T. Prins, Willem F. De Boer. Contrasting effects of host species and phylogenetic diversity on the occurrence of HPAI H5N1 in European wild birds. Journal of Animal Ecology. 2019; 88 (7):1044-1053.
Chicago/Turabian StyleZheng Y. X. Huang; Chi Xu; Frank Van Langevelde; Yuying Ma; Tom Langendoen; Taej Mundkur; Yali Si; Huaiyu Tian; Robert H. S. Kraus; Marius Gilbert; Guan‐Zhu Han; Xiang Ji; Herbert H. T. Prins; Willem F. De Boer. 2019. "Contrasting effects of host species and phylogenetic diversity on the occurrence of HPAI H5N1 in European wild birds." Journal of Animal Ecology 88, no. 7: 1044-1053.
Chunlin Li; Yong Zhang; Daode Zha; Sen Yang; Zheng Y. X. Huang; Willem F. Boer. Assembly processes of waterbird communities across subsidence wetlands in China: A functional and phylogenetic approach. Diversity and Distributions 2019, 25, 1118 -1129.
AMA StyleChunlin Li, Yong Zhang, Daode Zha, Sen Yang, Zheng Y. X. Huang, Willem F. Boer. Assembly processes of waterbird communities across subsidence wetlands in China: A functional and phylogenetic approach. Diversity and Distributions. 2019; 25 (7):1118-1129.
Chicago/Turabian StyleChunlin Li; Yong Zhang; Daode Zha; Sen Yang; Zheng Y. X. Huang; Willem F. Boer. 2019. "Assembly processes of waterbird communities across subsidence wetlands in China: A functional and phylogenetic approach." Diversity and Distributions 25, no. 7: 1118-1129.
1.Host species diversity can affect disease risk, but the precise nature of this effect is disputed. To date, most studies on the diversity‐disease relationships have focused on host species richness and single diseases, ignoring phylogenetic diversity and disease richness. 2.We first evaluated the effects of wildlife assemblage variables (i.e., species richness of wild ungulates and carnivores, phylogenetic structure) and livestock host density on the regional occurrence of 19 individual livestock diseases in Africa. We then explored the relationships between wildlife assemblage variables and the total disease burden (measured as disease richness) at regional scale across the entire continent of Africa. 3.Our results suggest that wild ungulate and carnivore species richness had a positive relationship with disease richness, but no relationship with disease occurrence. When controlling for host species richness, standardized phylogenetic divergence was negatively correlated with both disease richness and disease occurrence while standardized phylogenetic richness was positively related with disease occurrences. 4.Our results suggest that the phylogenetic structure of the surrounding wildlife assemblage can shape patterns of livestock diseases in Africa. Species richness alone is apparently inadequate for analyses of disease‐diversity relationships, and this shortfall might partly account for current disagreements over the importance of the dilution effect. Future studies on this topic should strive to include parameters that take host phylogeny into account. This article is protected by copyright. All rights reserved.
Yingying X. G. Wang; Kevin D. Matson; Herbert H. T. Prins; Gerrit Gort; Lina Awada; Zheng Y. X. Huang; Willem F. De Boer. Phylogenetic structure of wildlife assemblages shapes patterns of infectious livestock diseases in Africa. Functional Ecology 2019, 33, 1332 -1341.
AMA StyleYingying X. G. Wang, Kevin D. Matson, Herbert H. T. Prins, Gerrit Gort, Lina Awada, Zheng Y. X. Huang, Willem F. De Boer. Phylogenetic structure of wildlife assemblages shapes patterns of infectious livestock diseases in Africa. Functional Ecology. 2019; 33 (7):1332-1341.
Chicago/Turabian StyleYingying X. G. Wang; Kevin D. Matson; Herbert H. T. Prins; Gerrit Gort; Lina Awada; Zheng Y. X. Huang; Willem F. De Boer. 2019. "Phylogenetic structure of wildlife assemblages shapes patterns of infectious livestock diseases in Africa." Functional Ecology 33, no. 7: 1332-1341.
Presently, China has the largest high-speed rail (HSR) system in the world. However, our understanding of the network structure of the world’s largest HSR system remains largely incomplete due to the limited data available. In this study, a publicly available data source, namely, information from a ticketing website, was used to collect an exhaustive dataset on the stations and routes within the Chinese HSR system. The dataset included all 704 HSR stations that had been built as of June, 2016. A classical set of frequently used metrics based on complex network theory were analyzed, including degree centrality, betweenness centrality, and closeness centrality. The frequency distributions of all three metrics demonstrated highly consistent bimodal-like patterns, suggesting that the Chinese HSR network consists of two distinct regimes. The results indicate that the Chinese HSR system has a hierarchical structure, rather than a scale-free structure as has been commonly observed. To the best of our knowledge, such a network structure has not been found in other railway systems, or in transportation systems in general. Follow-up studies are needed to reveal the formation mechanisms of this hierarchical network structure.
Sheng Wei; Shuqing N. Teng; Hui-Jia Li; Jiangang Xu; Haitao Ma; Xia-Li Luan; Xuejiao Yang; Da Shen; Maosong Liu; Zheng Y. X. Huang; Chi Xu. Hierarchical structure in the world’s largest high-speed rail network. PLOS ONE 2019, 14, e0211052 .
AMA StyleSheng Wei, Shuqing N. Teng, Hui-Jia Li, Jiangang Xu, Haitao Ma, Xia-Li Luan, Xuejiao Yang, Da Shen, Maosong Liu, Zheng Y. X. Huang, Chi Xu. Hierarchical structure in the world’s largest high-speed rail network. PLOS ONE. 2019; 14 (2):e0211052.
Chicago/Turabian StyleSheng Wei; Shuqing N. Teng; Hui-Jia Li; Jiangang Xu; Haitao Ma; Xia-Li Luan; Xuejiao Yang; Da Shen; Maosong Liu; Zheng Y. X. Huang; Chi Xu. 2019. "Hierarchical structure in the world’s largest high-speed rail network." PLOS ONE 14, no. 2: e0211052.
Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease caused by hantaviruses. Landscape can influence the risk of hantavirus infection for humans, mainly through its effect on rodent community composition and distribution. It is important to understand how landscapes influence population dynamics for different rodent species and the subsequent effect on HFRS risk. To determine how rodent community composition influenced human hantavirus infection, we monitored rodent communities in the prefecture-level cities of Loudi and Shaoyang, China, from 2006 to 2013. Land use data were extracted from satellite images and rodent community diversity was analyzed in 45 trapping sites, in different environments. Potential contact matrices, determining how rodent community composition influence HFRS infection among different land use types, were estimated based on rodent community composition and environment type for geo-located HFRS cases. Apodemus agrarius and Rattus norvegicus were the predominant species in Loudi and Shaoyang, respectively. The major risk of HFRS infection was concentrated in areas with cultivated land and was associated with A. agrarius, R. norvegicus, and Rattus flavipectus. In urban areas in Shaoyang, Mus musculus was related to risk of hantavirus infection. Landscape features and rodent community dynamics may affect the risk of human hantavirus infection. Results of this study may be useful for the development of HFRS prevention initiatives that are customized for regions with different geographical environments.
Hong Xiao; Xin Tong; Ru Huang; Lidong Gao; Shixiong Hu; Gao Lidong; Hongwei Gao; Pai Zheng; Huisuo Yang; Zheng Y. X. Huang; Hua Tan; Huaiyu Tian. Landscape and rodent community composition are associated with risk of hemorrhagic fever with renal syndrome in two cities in China, 2006–2013. BMC Infectious Diseases 2018, 18, 1 -10.
AMA StyleHong Xiao, Xin Tong, Ru Huang, Lidong Gao, Shixiong Hu, Gao Lidong, Hongwei Gao, Pai Zheng, Huisuo Yang, Zheng Y. X. Huang, Hua Tan, Huaiyu Tian. Landscape and rodent community composition are associated with risk of hemorrhagic fever with renal syndrome in two cities in China, 2006–2013. BMC Infectious Diseases. 2018; 18 (1):1-10.
Chicago/Turabian StyleHong Xiao; Xin Tong; Ru Huang; Lidong Gao; Shixiong Hu; Gao Lidong; Hongwei Gao; Pai Zheng; Huisuo Yang; Zheng Y. X. Huang; Hua Tan; Huaiyu Tian. 2018. "Landscape and rodent community composition are associated with risk of hemorrhagic fever with renal syndrome in two cities in China, 2006–2013." BMC Infectious Diseases 18, no. 1: 1-10.
Note: In lieu of an abstract, this is an excerpt from the first page. After publication of the research paper
Pengbo Yu; Yidan Li; Bo Xu; Jing Wei; Shen Li; Jianhua Dong; Jianhui Qu; Jing Xu; Zheng Y.X. Huang; Chaofeng Ma; Jing Yang; Guogang Zhang; Bin Chen; Shanqian Huang; Chunming Shi; Hongwei Gao; Feng Liu; Huaiyu Tian; Nils Chr. Stenseth; Bing Xu; Jingjun Wang. Addendum: Using Satellite Data for the Characterization of Local Animal Reservoir Populations of Hantaan Virus on the Weihe Plain, China. Remote Sens. 2017, 9, 1076. Remote Sensing 2017, 10, 20 .
AMA StylePengbo Yu, Yidan Li, Bo Xu, Jing Wei, Shen Li, Jianhua Dong, Jianhui Qu, Jing Xu, Zheng Y.X. Huang, Chaofeng Ma, Jing Yang, Guogang Zhang, Bin Chen, Shanqian Huang, Chunming Shi, Hongwei Gao, Feng Liu, Huaiyu Tian, Nils Chr. Stenseth, Bing Xu, Jingjun Wang. Addendum: Using Satellite Data for the Characterization of Local Animal Reservoir Populations of Hantaan Virus on the Weihe Plain, China. Remote Sens. 2017, 9, 1076. Remote Sensing. 2017; 10 (2):20.
Chicago/Turabian StylePengbo Yu; Yidan Li; Bo Xu; Jing Wei; Shen Li; Jianhua Dong; Jianhui Qu; Jing Xu; Zheng Y.X. Huang; Chaofeng Ma; Jing Yang; Guogang Zhang; Bin Chen; Shanqian Huang; Chunming Shi; Hongwei Gao; Feng Liu; Huaiyu Tian; Nils Chr. Stenseth; Bing Xu; Jingjun Wang. 2017. "Addendum: Using Satellite Data for the Characterization of Local Animal Reservoir Populations of Hantaan Virus on the Weihe Plain, China. Remote Sens. 2017, 9, 1076." Remote Sensing 10, no. 2: 20.
Striped field mice (Apodemus agrarius) are the main host for the Hantaan virus (HTNV), the cause of hemorrhagic fever with renal syndrome (HFRS) in central China. It has been shown that host population density is associated with pathogen dynamics and disease risk. Thus, a higher population density of A. agrarius in an area might indicate a higher risk for an HFRS outbreak. Here, we surveyed the A. agrarius population density between 2005 and 2012 on the Weihe Plain, Shaanxi Province, China, and used this monitoring data to examine the relationships between the dynamics of A. agrarius populations and environmental conditions of crop-land, represented by remote sensing based indicators. These included the normalized difference vegetation index, leaf area index, fraction of photosynthetically active radiation absorbed by vegetation, net photosynthesis (PsnNet), gross primary productivity, and land surface temperature. Structural equation modeling (SEM) was applied to detect the possible causal relationship between PsnNet, A. agrarius population density and HFRS risk. The results showed that A. agrarius was the most frequently captured species with a capture rate of 0.9 individuals per hundred trap-nights, during 96 months of trapping in the study area. The risk of HFRS was highly associated with the abundance of A. agrarius, with a 1–5-month lag. The breeding season of A. agrarius was also found to coincide with agricultural activity and seasons with high PsnNet. The SEM indicated that PsnNet had an indirect positive effect on HFRS incidence via rodents. In conclusion, the remote sensing-based environmental indicator, PsnNet, was highly correlated with HTNV reservoir population dynamics with a 3-month lag (r = 0.46, p < 0.01), and may serve as a predictor of potential HFRS outbreaks.
Pengbo Yu; Yidan Li; Bo Xu; Jing Wei; Shen Li; Jianhua Dong; Jianhui Qu; Jing Xu; Zheng Y.X. Huang; Chaofeng Ma; Jing Yang; Guogang Zhang; Bin Chen; Shanqian Huang; Chunming Shi; Hongwei Gao; Feng Liu; Huaiyu Tian; Nils Chr. Stenseth; Bing Xu; Jingjun Wang. Using Satellite Data for the Characterization of Local Animal Reservoir Populations of Hantaan Virus on the Weihe Plain, China. Remote Sensing 2017, 9, 1076 .
AMA StylePengbo Yu, Yidan Li, Bo Xu, Jing Wei, Shen Li, Jianhua Dong, Jianhui Qu, Jing Xu, Zheng Y.X. Huang, Chaofeng Ma, Jing Yang, Guogang Zhang, Bin Chen, Shanqian Huang, Chunming Shi, Hongwei Gao, Feng Liu, Huaiyu Tian, Nils Chr. Stenseth, Bing Xu, Jingjun Wang. Using Satellite Data for the Characterization of Local Animal Reservoir Populations of Hantaan Virus on the Weihe Plain, China. Remote Sensing. 2017; 9 (10):1076.
Chicago/Turabian StylePengbo Yu; Yidan Li; Bo Xu; Jing Wei; Shen Li; Jianhua Dong; Jianhui Qu; Jing Xu; Zheng Y.X. Huang; Chaofeng Ma; Jing Yang; Guogang Zhang; Bin Chen; Shanqian Huang; Chunming Shi; Hongwei Gao; Feng Liu; Huaiyu Tian; Nils Chr. Stenseth; Bing Xu; Jingjun Wang. 2017. "Using Satellite Data for the Characterization of Local Animal Reservoir Populations of Hantaan Virus on the Weihe Plain, China." Remote Sensing 9, no. 10: 1076.
SUMMARYThe dilution effect (DE) has been reported in many diseases, but its generality is still highly disputed. Most current criticisms of DE are related to animal diseases. Particularly, some critical studies argued that DE is less likely to occur in complex environments. Here our meta-analyses demonstrated that the magnitude of DE did not differ between animal vs plant diseases. Moreover, DE generally occurs in all three subgroups of animal diseases, namely direct-transmitted diseases, vector-borne diseases and diseases caused by parasites with free-living stages. Our findings serve as an important contribution to understanding the generality of DE.
Zheng Y. X. Huang; Yang Yu; Frank Van Langevelde; Willem F. De Boer. Does the dilution effect generally occur in animal diseases? Parasitology 2017, 144, 823 -826.
AMA StyleZheng Y. X. Huang, Yang Yu, Frank Van Langevelde, Willem F. De Boer. Does the dilution effect generally occur in animal diseases? Parasitology. 2017; 144 (6):823-826.
Chicago/Turabian StyleZheng Y. X. Huang; Yang Yu; Frank Van Langevelde; Willem F. De Boer. 2017. "Does the dilution effect generally occur in animal diseases?" Parasitology 144, no. 6: 823-826.
African swine fever (ASF) causes severe socio-economic impacts due to high mortality and trade restrictions. Many risk factors of ASF have been identified at farm level. However, understanding the risk factors, especially wild suid hosts, determining ASF transmission at regional level remains limited. Based on ASF outbreak data in domestic pigs during 2006-2014, we here tested, separately for West and East Africa, which risk factors were linked to ASF presence at a regional level, using generalized linear mixed models. Our results show that ASF infections in the preceding year was an important predictor for ASF presence in both West and East Africa. Both pig density and human density were positively associated with ASF presence in West Africa. In East Africa, ASF outbreaks in domestic pigs were also correlated with higher percentages of areas occupied by giant forest hogs and by high-tick-risk areas. Our results suggest that regional ASF risk in East Africa and in West Africa were associated with different sets of risk factors. Regional ASF risk in West Africa mainly followed the domestic cycle, whereas the sylvatic cycle may influence regional ASF risk in East Africa. With these findings, we contribute to the better understanding of the risk factors of ASF occurrence at regional scales that may aid the implementation of effective control measures.
Zheng Y. X. Huang; Frank Van Langevelde; Karanina J. Honer; Marc Naguib; Willem F. De Boer. Regional level risk factors associated with the occurrence of African swine fever in West and East Africa. Parasites & Vectors 2017, 10, 16 .
AMA StyleZheng Y. X. Huang, Frank Van Langevelde, Karanina J. Honer, Marc Naguib, Willem F. De Boer. Regional level risk factors associated with the occurrence of African swine fever in West and East Africa. Parasites & Vectors. 2017; 10 (1):16.
Chicago/Turabian StyleZheng Y. X. Huang; Frank Van Langevelde; Karanina J. Honer; Marc Naguib; Willem F. De Boer. 2017. "Regional level risk factors associated with the occurrence of African swine fever in West and East Africa." Parasites & Vectors 10, no. 1: 16.
SUMMARYThe dilution effect, that high host species diversity can reduce disease risk, has attracted much attention in the context of global biodiversity decline and increasing disease emergence. Recent studies have criticized the generality of the dilution effect and argued that it only occurs under certain circumstances. Nevertheless, evidence for the existence of a dilution effect was reported in about 80% of the studies that addressed the diversity–disease relationship, and a recent meta-analysis found that the dilution effect is widespread. We here review supporting and critical studies, point out the causes underlying the current disputes. The dilution is expected to be strong when the competent host species tend to remain when species diversity declines, characterized as a negative relationship between species’ reservoir competence and local extinction risk. We here conclude that most studies support a negative competence–extinction relationship. We then synthesize the current knowledge on how the diversity–disease relationship can be modified by particular species in community, by the scales of analyses, and by the disease risk measures. We also highlight the complex role of habitat fragmentation in the diversity–disease relationship from epidemiological, evolutionary and ecological perspectives, and construct a synthetic framework integrating these three perspectives. We suggest that future studies should test the diversity–disease relationship across different scales and consider the multiple effects of landscape fragmentation.
Z. Y. X. Huang; Frank Van Langevelde; A. Estrada-Peña; G. Suzán; W. F. De Boer. The diversity–disease relationship: evidence for and criticisms of the dilution effect. Parasitology 2016, 143, 1075 -1086.
AMA StyleZ. Y. X. Huang, Frank Van Langevelde, A. Estrada-Peña, G. Suzán, W. F. De Boer. The diversity–disease relationship: evidence for and criticisms of the dilution effect. Parasitology. 2016; 143 (9):1075-1086.
Chicago/Turabian StyleZ. Y. X. Huang; Frank Van Langevelde; A. Estrada-Peña; G. Suzán; W. F. De Boer. 2016. "The diversity–disease relationship: evidence for and criticisms of the dilution effect." Parasitology 143, no. 9: 1075-1086.
Chi Xu; Bin J. W. Chen; Sebastian Abades; Luís Reino; Shuqing Teng; Fredrik Charpentier Ljungqvist; Zheng Y. X. Huang; Maosong Liu. Macroecological factors explain large-scale spatial population patterns of ancient agriculturalists. Global Ecology and Biogeography 2015, 24, 1030 -1039.
AMA StyleChi Xu, Bin J. W. Chen, Sebastian Abades, Luís Reino, Shuqing Teng, Fredrik Charpentier Ljungqvist, Zheng Y. X. Huang, Maosong Liu. Macroecological factors explain large-scale spatial population patterns of ancient agriculturalists. Global Ecology and Biogeography. 2015; 24 (9):1030-1039.
Chicago/Turabian StyleChi Xu; Bin J. W. Chen; Sebastian Abades; Luís Reino; Shuqing Teng; Fredrik Charpentier Ljungqvist; Zheng Y. X. Huang; Maosong Liu. 2015. "Macroecological factors explain large-scale spatial population patterns of ancient agriculturalists." Global Ecology and Biogeography 24, no. 9: 1030-1039.
Epidemiological studies have suggested that increasing connectivity in metapopulations usually facilitates pathogen transmission. However, these studies focusing on single-host systems usually neglect that increasing connectivity can increase species diversity which might reduce pathogen transmission via the 'dilution effect', a hypothesis whose generality is still disputed. On the other hand, studies investigating the generality of the dilution effect were usually conducted without considering habitat structure, which is surprising as species loss is often driven by habitat fragmentation. Using a simple general model to link fragmentation to the dilution effect, we determined the effect of connectivity on disease risk and explored when the dilution effect can be detected. We showed that landscape structure can largely modify the diversity-disease relationship. The net impact of connectivity on disease risk can be either positive or negative, depending on the relative importance of the facilitation effect (through increasing contact rates among patches) versus the dilution effect (via increasing species richness). We also demonstrated that different risk indices (i.e. infection prevalence and abundance of infected hosts) react differently to increasing connectivity and species richness. Our study may contribute to the current debate on the dilution effect, and a better understanding of the impacts of fragmentation on disease risks.
Zheng Y.X. Huang; Frank Van Langevelde; Herbert H.T. Prins; Willem F. De Boer. Dilution versus facilitation: Impact of connectivity on disease risk in metapopulations. Journal of Theoretical Biology 2015, 376, 66 -73.
AMA StyleZheng Y.X. Huang, Frank Van Langevelde, Herbert H.T. Prins, Willem F. De Boer. Dilution versus facilitation: Impact of connectivity on disease risk in metapopulations. Journal of Theoretical Biology. 2015; 376 ():66-73.
Chicago/Turabian StyleZheng Y.X. Huang; Frank Van Langevelde; Herbert H.T. Prins; Willem F. De Boer. 2015. "Dilution versus facilitation: Impact of connectivity on disease risk in metapopulations." Journal of Theoretical Biology 376, no. : 66-73.
Chi Xu; Zheng Y. X. Huang; Ting Chi; Bin J. W. Chen; Mingjuan Zhang; Maosong Liu. Can local landscape attributes explain species richness patterns at macroecological scales? Global Ecology and Biogeography 2013, 23, 436 -445.
AMA StyleChi Xu, Zheng Y. X. Huang, Ting Chi, Bin J. W. Chen, Mingjuan Zhang, Maosong Liu. Can local landscape attributes explain species richness patterns at macroecological scales? Global Ecology and Biogeography. 2013; 23 (4):436-445.
Chicago/Turabian StyleChi Xu; Zheng Y. X. Huang; Ting Chi; Bin J. W. Chen; Mingjuan Zhang; Maosong Liu. 2013. "Can local landscape attributes explain species richness patterns at macroecological scales?" Global Ecology and Biogeography 23, no. 4: 436-445.