Patterns, Drivers, and Challenges of Vector-Borne Disease Emergence

Swei, Andrea; Couper, Lisa I.; Coffey, Lark L.; Kapan, Durrell D.; Bennett, Shannon N.

doi:10.1089/vbz.2018.2432

Cited by 116 publications

(119 citation statements)

References 97 publications

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“…Given the increasing rate of vector-borne disease emergence and re-emergence in recent decades, including Zika in Central and South America and tick-borne encephalitis in Europe, identifying the environmental drivers of vector-borne disease transmission has been a major research theme (Rogers and Randolph 2006, Kilpatrick and Randolph 2012, Lafferty and Mordecai 2016, Swei et al 2019. Extensive prior research indicates that temperature and moisture conditions can impact vector life cycles, activity patterns, abundance, and range limits (reviewed in Ogden and Lindsay 2016).…”

Section: Discussionmentioning

confidence: 99%

Impact of prior and projected climate change on US Lyme disease incidence

Couper

MacDonald²,

Mordecai

2020

Preprint

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53Background: Lyme disease is the most common vector-borne disease in temperate zones and 54 a growing public health threat in the US. Tick life cycles and disease transmission are highly 55 sensitive to climatic conditions but determining the impact of climate change on Lyme disease 56 burden has been challenging due to the complex ecology of the disease and the presence of 57 multiple, interacting drivers of transmission. 59Objectives: We estimated the impact of prior temperature and precipitation conditions on US 60Lyme disease incidence and predicted the effect of future climate change on disease. 62Methods: We incorporated 17 years of annual, county-level Lyme disease case data in a panel 63 data statistical modeling approach to investigate prior effects of climate change on disease 64 while controlling for other putative drivers. We then used these climate-disease relationships to 65 forecast Lyme disease cases using CMIP5 global climate models and two potential climate 66 scenarios (RCP 4.5 and RCP 8.5). 68Results: We find that climate is a key driver of Lyme disease incidence across the US, but the 69 relevant climate variables and their effect sizes vary strongly between regions, with larger 70 effects apparent in the Northeast and Midwest where Lyme disease incidence has recently 71 increased most substantially. In both of these regions, key climate predictors included winter 72 temperatures, spring precipitation, dry summer weather, and temperature variability. Further, we 73 predict that total US Lyme disease incidence will increase significantly by 2100 under a 74 moderate emissions scenario, with nearly all of the additional cases occurring in the Northeast 75 and Midwest. 76 77 Conclusions: Our results demonstrate a regionally-variable and nuanced relationship between 78 climate change and Lyme disease and highlight the need for improved preparedness and public 79 health interventions in endemic regions to minimize the impact of further climate change-

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Section: Discussionmentioning

confidence: 99%

Impact of prior and projected climate change on US Lyme disease incidence

Couper

MacDonald²,

Mordecai

2020

Preprint

Self Cite

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“…To explore the emerging rickettsial species, we used the datasets of emerging infectious disease events compiled by Jones et al [18] between 1940 and 2004 and Swei et al [19] between 1920 and 2016.…”

Section: Data Acquisitionmentioning

confidence: 99%

“…The lists of emerging infectious diseases gathered by Jones et al [18] and Swei et al [19] indicated several rickettsial agents that have emerged from 1920 to 2016 (Table 1). Some likely causes of emergence were demography, war and famines.…”

Section: Emerging Rickettsial Diseasesmentioning

confidence: 99%

“…Table 1. Emerging rickettsioses (from the supplementary materials of Jones et al [18] and Swei et al [19]) from 1920 to 2016 (with the exception of novel rickettsial characterization).…”

Section: Emerging Rickettsial Diseasesmentioning

confidence: 99%

“…The review of Swei et al [19] synthesized the existing literature of emerging vector-borne zoonotic diseases and showed that a great number of 131 emerging vector-borne diseases from the years 1940 to 2018 were rickettsial diseases. Ixodidae ticks (Ixodes, Dermacentor, Amblyomma spp.)…”

Section: Vector and Reservoirs Carriersmentioning

confidence: 99%

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Disease Ecology of Rickettsial Species: A Data Science Approach

et al. 2020

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We present an approach to assess the disease ecology of rickettsial species by investigating open databases and by using data science methodologies. First, we explored the epidemiological trend and changes of human rickettsial disease epidemics over the years and compared this trend with knowledge on emerging rickettsial diseases given by published reviews. Second, we investigated the global diversity of rickettsial species recorded in humans, domestic animals and wild mammals, using the Enhanced Infectious Disease Database (EID2) and employing a network analysis approach to represent and quantify transmission ecology of rickettsial species among their carriers, arthropod vectors or mammal reservoirs and humans. Our results confirmed previous studies that emphasized the increasing incidence in rickettsial diseases at the onset of 1970. Using the Global Infectious Diseases and Epidemiology Online Network (GIDEON) database, it was even possible to date the start of this increase of global outbreaks in rickettsial diseases in 1971. Network analysis showed the importance of domestic animals and peridomestic mammals in sharing rickettsial diseases with humans and other wild animals, acting as important hubs or connectors for rickettsial transmission.

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Temperature and humidity as drivers for the transmission of zoonotic diseases

Zhang,

Lv,

Guo

et al. 2024

Animal Research and One Health

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Zoonotic diseases remain a persistent threat to global public health. Many major zoonotic pathogens exhibit seasonal patterns associated with climatic variations. Quantifying the impacts of environmental variables such as temperature and humidity on disease transmission dynamics is critical for improving prediction and control measures. This review synthesizes current evidence on the relationships between temperature and humidity and major zoonotic diseases, including malaria, dengue, rabies, anisakiasis, and influenza. Overall, this review highlighted some overarching themes across the different zoonotic diseases examined. Higher temperatures within suitable ranges were generally associated with increased transmission risks, while excessively high or low temperatures had adverse effects. Humidity exhibited complex nonlinear relationships, facilitating transmission in certain temperature zones but inhibiting it in others. Heavy rainfall and high humidity were linked to vector‐borne disease outbreaks such as malaria by enabling vector breeding. However, reduced incidence of some diseases like dengue fever was observed with high rainfall. To address existing knowledge gaps, future research efforts should prioritize several key areas: enhancing data quality through robust surveillance and the integration of high‐resolution microclimate data; standardizing analytical frameworks and leveraging advanced methodologies such as machine learning; conducting mechanistic studies to elucidate pathogen, vector, and host responses to climatic stimuli; adopting interdisciplinary approaches to account for interacting drivers; and projecting disease impacts under various climate change scenarios to inform adaptation strategies. Investing in these research priorities can propel the development of evidence‐based climate‐aware disease prediction and control measures, ultimately safeguarding public health more effectively.

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Patterns, Drivers, and Challenges of Vector-Borne Disease Emergence

Cited by 116 publications

References 97 publications

Impact of prior and projected climate change on US Lyme disease incidence

Impact of prior and projected climate change on US Lyme disease incidence

Disease Ecology of Rickettsial Species: A Data Science Approach

Temperature and humidity as drivers for the transmission of zoonotic diseases

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