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Wang HR, Liu T, Gao X, Wang HB, Xiao JH. Impact of climate change on the global circulation of West Nile virus and adaptation responses: a scoping review. Infect Dis Poverty 2024; 13:38. [PMID: 38790027 PMCID: PMC11127377 DOI: 10.1186/s40249-024-01207-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 05/17/2024] [Indexed: 05/26/2024] Open
Abstract
BACKGROUND West Nile virus (WNV), the most widely distributed flavivirus causing encephalitis globally, is a vector-borne pathogen of global importance. The changing climate is poised to reshape the landscape of various infectious diseases, particularly vector-borne ones like WNV. Understanding the anticipated geographical and range shifts in disease transmission due to climate change, alongside effective adaptation strategies, is critical for mitigating future public health impacts. This scoping review aims to consolidate evidence on the impact of climate change on WNV and to identify a spectrum of applicable adaptation strategies. MAIN BODY We systematically analyzed research articles from PubMed, Web of Science, Scopus, and EBSCOhost. Our criteria included English-language research articles published between 2007 and 2023, focusing on the impacts of climate change on WNV and related adaptation strategies. We extracted data concerning study objectives, populations, geographical focus, and specific findings. Literature was categorized into two primary themes: 1) climate-WNV associations, and 2) climate change impacts on WNV transmission, providing a clear understanding. Out of 2168 articles reviewed, 120 met our criteria. Most evidence originated from North America (59.2%) and Europe (28.3%), with a primary focus on human cases (31.7%). Studies on climate-WNV correlations (n = 83) highlighted temperature (67.5%) as a pivotal climate factor. In the analysis of climate change impacts on WNV (n = 37), most evidence suggested that climate change may affect the transmission and distribution of WNV, with the extent of the impact depending on local and regional conditions. Although few studies directly addressed the implementation of adaptation strategies for climate-induced disease transmission, the proposed strategies (n = 49) fell into six categories: 1) surveillance and monitoring (38.8%), 2) predictive modeling (18.4%), 3) cross-disciplinary collaboration (16.3%), 4) environmental management (12.2%), 5) public education (8.2%), and 6) health system readiness (6.1%). Additionally, we developed an accessible online platform to summarize the evidence on climate change impacts on WNV transmission ( https://2xzl2o-neaop.shinyapps.io/WNVScopingReview/ ). CONCLUSIONS This review reveals that climate change may affect the transmission and distribution of WNV, but the literature reflects only a small share of the global WNV dynamics. There is an urgent need for adaptive responses to anticipate and respond to the climate-driven spread of WNV. Nevertheless, studies focusing on these adaptation responses are sparse compared to those examining the impacts of climate change. Further research on the impacts of climate change and adaptation strategies for vector-borne diseases, along with more comprehensive evidence synthesis, is needed to inform effective policy responses tailored to local contexts.
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Affiliation(s)
- Hao-Ran Wang
- Department of Veterinary Surgery, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
- Heilongjiang Key Laboratory for Laboratory Animals and Comparative Medicine, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Tao Liu
- Department of Veterinary Surgery, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
- Heilongjiang Key Laboratory for Laboratory Animals and Comparative Medicine, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Xiang Gao
- Department of Veterinary Surgery, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
- Heilongjiang Key Laboratory for Laboratory Animals and Comparative Medicine, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Hong-Bin Wang
- Department of Veterinary Surgery, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
- Heilongjiang Key Laboratory for Laboratory Animals and Comparative Medicine, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Jian-Hua Xiao
- Department of Veterinary Surgery, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China.
- Heilongjiang Key Laboratory for Laboratory Animals and Comparative Medicine, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China.
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Wan G, Allen J, Ge W, Rawlani S, Uelmen J, Mainzer LS, Smith RL. Two-step light gradient boosted model to identify human west nile virus infection risk factor in Chicago. PLoS One 2024; 19:e0296283. [PMID: 38181002 PMCID: PMC10769082 DOI: 10.1371/journal.pone.0296283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 12/08/2023] [Indexed: 01/07/2024] Open
Abstract
West Nile virus (WNV), a flavivirus transmitted by mosquito bites, causes primarily mild symptoms but can also be fatal. Therefore, predicting and controlling the spread of West Nile virus is essential for public health in endemic areas. We hypothesized that socioeconomic factors may influence human risk from WNV. We analyzed a list of weather, land use, mosquito surveillance, and socioeconomic variables for predicting WNV cases in 1-km hexagonal grids across the Chicago metropolitan area. We used a two-stage lightGBM approach to perform the analysis and found that hexagons with incomes above and below the median are influenced by the same top characteristics. We found that weather factors and mosquito infection rates were the strongest common factors. Land use and socioeconomic variables had relatively small contributions in predicting WNV cases. The Light GBM handles unbalanced data sets well and provides meaningful predictions of the risk of epidemic disease outbreaks.
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Affiliation(s)
- Guangya Wan
- National Center for Supercomputing Applications, University of Illinois, Urbana-Champaign, Illinois, United States of America
- Department of Statistics, University of Illinois, Urbana-Champaign, Illinois, United States of America
| | - Joshua Allen
- National Center for Supercomputing Applications, University of Illinois, Urbana-Champaign, Illinois, United States of America
| | - Weihao Ge
- National Center for Supercomputing Applications, University of Illinois, Urbana-Champaign, Illinois, United States of America
| | - Shubham Rawlani
- National Center for Supercomputing Applications, University of Illinois, Urbana-Champaign, Illinois, United States of America
- Information School, University of Illinois, Urbana-Champaign, Illinois, United States of America
| | - John Uelmen
- Department of Pathobiology, University of Illinois, Urbana-Champaign, Illinois, United States of America
| | - Liudmila Sergeevna Mainzer
- National Center for Supercomputing Applications, University of Illinois, Urbana-Champaign, Illinois, United States of America
- Car R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, Illinois, United States of America
| | - Rebecca Lee Smith
- National Center for Supercomputing Applications, University of Illinois, Urbana-Champaign, Illinois, United States of America
- Department of Pathobiology, University of Illinois, Urbana-Champaign, Illinois, United States of America
- Car R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, Illinois, United States of America
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Peterson EM, Green FB, Smith PN. Pesticides Used on Beef Cattle Feed Yards Are Aerially Transported into the Environment Via Particulate Matter. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2020; 54:13008-13015. [PMID: 32936619 DOI: 10.1021/acs.est.0c03603] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Considering the recent discovery of veterinary pharmaceutical aerial transport from industrial cattle feeding operations via particulate matter, the objective of this study is to determine the extent to which insecticides are also transported into the environment by total suspended particulates emanating from beef cattle feed yards. Of 16 different pesticides quantified in particulate matter samples collected from beef cattle feed yards, permethrin was detected most frequently at >67% of particulate matter samples and at a mean concentration of 1211.7 ± 781.0 (SE) ng/m3. Imidacloprid was detected at a mean concentration of 62.8 ± 38.2 (SE) ng/m3 or equivalent to published concentrations in dust from treated seed planting activities. When insecticide concentrations observed in this study are projected to all United States of America feed yards, the resulting particulate matter (669,000 kg) could contain enough insecticides (active ingredient mass basis) to kill over a billion honeybees daily. Furthermore, a novel transport pathway for macrocyclic lactone entry into the environment was identified. These data raise concern that nontarget organisms may be exposed to potentially toxic levels of pesticides from beef cattle feed yards.
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Affiliation(s)
- Eric M Peterson
- Department of Environmental Toxicology, Texas Tech University, Lubbock, Texas 79409, United States
| | - Frank B Green
- Department of Environmental Toxicology, Texas Tech University, Lubbock, Texas 79409, United States
| | - Philip N Smith
- Department of Environmental Toxicology, Texas Tech University, Lubbock, Texas 79409, United States
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Poh KC, Medeiros MCI, Hamer GL. Landscape and demographic determinants of Culex infection with West Nile virus during the 2012 epidemic in Dallas County, TX. Spat Spatiotemporal Epidemiol 2020; 33:100336. [PMID: 32370939 DOI: 10.1016/j.sste.2020.100336] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Revised: 09/10/2019] [Accepted: 02/05/2020] [Indexed: 11/16/2022]
Abstract
In 2012, the United States experienced one of the largest outbreaks of West Nile virus (WNV)-associated deaths, with the majority occurring in Dallas County (Co.), Texas (TX) and surrounding areas. In this study, logistic mixed models were used to identify associations between the landscape, human population, and WNV-infected Culex quinquefasciatus mosquitoes during the 2012 WNV epidemic in Dallas Co. We found increased probabilities for WNV-positive mosquitoes in north and central Dallas Co. The most significant predictors of the presence of WNV in Cx. quinquefasciatus pools were increased urbanization (based on an index composed of greater population density, lower normalized difference vegetation index, higher coverage of urban land types, and more impervious surfaces), older human populations, and lower elevation. These relationships between the landscape, sociodemographics, and risk of enzootic transmission identified regions of Dallas Co., TX with highest risk of spillover to human disease during the 2012 WNV epidemic.
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Affiliation(s)
- Karen C Poh
- Department of Entomology, Texas A&M University, TAMU MS 2475, College Station, 77843 TX, USA.
| | - Matthew C I Medeiros
- Pacific Biosciences Research Center, University of Hawaii at Manoa, Honolulu, HI, USA.
| | - Gabriel L Hamer
- Department of Entomology, Texas A&M University, TAMU MS 2475, College Station, 77843 TX, USA.
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Barker CM. Models and Surveillance Systems to Detect and Predict West Nile Virus Outbreaks. JOURNAL OF MEDICAL ENTOMOLOGY 2019; 56:1508-1515. [PMID: 31549727 DOI: 10.1093/jme/tjz150] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Indexed: 06/10/2023]
Abstract
Over the past 20 yr, many models have been developed to predict risk for West Nile virus (WNV; Flaviviridae: Flavivirus) disease in the human population. These models have aided our understanding of the meteorological and land-use variables that drive spatial and temporal patterns of human disease risk. During the same period, electronic data systems have been adopted by surveillance programs across much of the United States, including a growing interest in integrated data services that preserve the autonomy and attribution of credit to originating agencies but facilitate data sharing, analysis, and visualization at local, state, and national scales. At present, nearly all predictive models have been limited to the scientific literature, with few having been implemented for use by public-health and vector-control decision makers. The current article considers the development of models for spatial patterns, early warning, and early detection of WNV over the last 20 yr and considers some possible paths toward increasing the utility of these models for guiding interventions.
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Affiliation(s)
- Christopher M Barker
- Department of Pathology, Microbiology, & Immunology, School of Veterinary Medicine, University of California, Davis, Davis, CA
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