Global Distribution of Aedes aegypti and Aedes albopictus in a Climate Change Scenario of Regional Rivalry

Laporta, Gabriel Zorello; Potter, Alexander M.; Oliveira, Janeide F. A.; Bourke, Brian P.; Pecor, David B.; Linton, Yvonne‐Marie

doi:10.3390/insects14010049

Cited by 69 publications

(52 citation statements)

References 48 publications

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“…Today, CHIKV has been reported in more than 60 countries in Africa, Asia, Europe and the Americas as a consequence of globalization of travel and trade as well as climate change that has led to the dispersal of Aedes mosquitoes to an increasing number of temperate regions. In addition, the Aedes albopictus mosquito has adapted to slightly colder environments, further increasing its global distribution [1][2][3] . Sylvatic cycles still exist in Africa and likely also in parts of Asia; however, urban transmission between humans and mosquitoes is increasingly more important [4][5][6] (Fig.…”

Section: Introductionmentioning

confidence: 99%

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Chikungunya fever

Bartholomeeusen

Daniel²,

LaBeaud

et al. 2023

Nat Rev Dis Primers

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Chikungunya virus is widespread throughout the tropics, where it causes recurrent outbreaks of chikungunya fever. In recent years, outbreaks have afflicted populations in East and Central Africa, South America and Southeast Asia. The virus is transmitted by Aedes aegypti and Aedes albopictus mosquitoes. Chikungunya fever is characterized by severe arthralgia and myalgia that can persist for years and have considerable detrimental effects on health, quality of life and economic productivity. The effects of climate change as well as increased globalization of commerce and travel have led to growth of the habitat of Aedes mosquitoes. As a result, increasing numbers of people will be at risk of chikungunya fever in the coming years. In the absence of specific antiviral treatments and with vaccines still in development, surveillance and vector control are essential to suppress re-emergence Nature Reviews Disease Primers | (2023) 9:17 2 0123456789();: PrimerWith the increasing global distribution of the Aedes mosquitoes and their ability to adapt to urban settings, the urban transmission cycle is increasingly important. Here, during a blood meal on an infected person, the female mosquito ingests the virus, which infects various mosquito tissues, including the salivary glands. During a subsequent blood meal by the infected mosquito, the virus is deposited in the skin of an uninfected person along with mosquito saliva, infecting the person and perpetuating the viral replication cycle 14 . Phylogenetic analysis identified three distinct lineages corresponding to their respective geographical origin: West African, East Central South African (ECSA) and Asian lineage 15,16 . The ECSA lineage is further divided into two clades: ECSA1, which consists entirely of ancestral CHIKV sequences, and ECSA2, which contains sequences from the Central African Republic, Cameroon, Gabon and the Republic of Congo 17,18 . Since its discovery in 1952, CHIKV has been reported to be circulating and causing sporadic outbreaks in sub-Saharan Africa. In 2004, an ECSA CHIKV strain emerged in Kenya and subsequently spread to the Indian Ocean Islands, where it caused outbreaks of an unprecedented magnitude, particularly in La Réunion [19][20][21][22][23][24] . The extent of this outbreak has led to the emergence of a fourth phylogenetic lineage termed Indian Ocean lineage, which has subsequently dispersed to Asia and India 25 and caused autochthonous transmission (local disease spread) in Mediterranean Europe (Italy and France) 26,27 .In December 2013, another major outbreak occurred when a strain from the Asian lineage emerged for the first time on the Caribbean Saint Martin Island, from where the virus spread to more than 50 countries of the South American continent, causing a conservatively estimated 1 million infections 28,29 . In 2014, the ECSA lineage was reported in Northeast Brazil, where it continues to circulate as the most prevalent strain today 30 .Most of the Indian Ocean lineage is characterized by an adaptive mutation in the E1 glycopr...

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Section: Introductionmentioning

confidence: 99%

“…2 | CHIKV replication. Chikungunya virus (CHIKV) replication cycle with indication of genomic replication steps(1)(2)(3)(4). Infection starts with cellular entry after receptor binding and clathrin-mediated endocytosis[83][84][85] .…”

mentioning

confidence: 99%

Chikungunya fever

Bartholomeeusen

Daniel²,

LaBeaud

et al. 2023

Nat Rev Dis Primers

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“…These sites often become breeding grounds for mosquitoes and contribute to the spread of DHF. Changes in climate can also impact the geographic range of the Aedes aegypti, enabling them to expand their range to higher altitudes and latitudes [90], [91]. As a result, areas that were previously unaffected by DHF may become suitable habitats for mosquito breeding and DHF transmission.…”

Section: B) Predictorsmentioning

confidence: 99%

Spatial Model of Dengue Hemorrhagic Fever (DHF) Risk: Scoping Review

Pakaya

Daniel

Widayani

2023

Preprint

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This review aims to provide a comprehensive overview of the important predictors, and additionally spatial modeling tools capable of producing Dengue Hemorrhagic Fever (DHF) risk maps. A literature search was conducted in PubMed, Scopus, Science Direct, and Google Scholar for studies reporting DHF risk factors. The Preferred Reporting Items for Systematic Reviews (PRISMA) 2020 statement is used to report this scoping review. It lasted from January 2011 to August of 2022. Initially 1329 articles were found, after inclusion and exclusion criteria, 45 manuscripts were selected. A variety of models and techniques were used to identify DHF risk areas with an arrangement of various multiple-criteria decision-making, statistical, and Machine Learning technique. We found that There was no pattern of predictor use associated with particular approaches; instead, a wide range of predictors was used to create DHF risk maps. Predictors are various variables or factors that are considered when assessing the likelihood or intensity of DHF outbreaks in a specific area in the context of DHF risk mapping. These predictors can include climatology factors (e.g., temperature, rainfall, humidity), socio-economic indicators (e.g., population density, urbanization level), environmental factors (land-use, elevation) and other relevant factors (e.g., mosquito abundance, previous DHF cases). The spatial model of DHF risk is a valuable tool for public health authorities, policymakers, and communities to identify areas at higher risk of dengue transmission, but its limitations underscore the importance of complementing it with other approaches and considering contextual factors for a more holistic assessment of DHF outbreaks. It enables targeted interventions, such as vector control measures and public awareness campaigns, to be implemented in high-risk areas, ultimately helping to mitigate the impact of dengue outbreaks and protect public health.

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“…Climate change and its extremes are one of the most significant challenges of the 21 st century [1,2,3]. The intense rise in temperature and the spatial and temporal changes in precipitation in the middle latitudes of the Northern Hemisphere are increasingly disrupting the traditional and usual variety-climate-soil balance [4,5,6].…”

Section: Introductionmentioning

confidence: 99%

Impact of the 2022 Drought Shock on the Adaptive Capacity of Hungarian Agriculture

Biró¹,

Kovács²

2023

Preprint

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Globally and in Hungary, agriculture is one of the most vulnerable sectors to weather and climate extremes. Intense temperature rises, spatial and temporal variations in precipitation, and significant changes in extreme climatological and weather parameters have contributed to changes in the conditions of cropland, crop losses, and crop quality in recent years. The aim of the research is to describe the transformation of the domestic agricultural sector due to the extreme drought shock of 2022 and to explore the adaptation strategies applied. The studies are based on their own agro-climate database and crop data. The results can help smallholders effectively reduce the adverse impacts, thereby increasing their adaptation to similar shocks.

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Global Distribution of Aedes aegypti and Aedes albopictus in a Climate Change Scenario of Regional Rivalry

Cited by 69 publications

References 48 publications

Chikungunya fever

Chikungunya fever

Spatial Model of Dengue Hemorrhagic Fever (DHF) Risk: Scoping Review

Impact of the 2022 Drought Shock on the Adaptive Capacity of Hungarian Agriculture

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