Climate and the distribution of vector-borne diseases: what’s in store?

Bergquist, Robert

doi:10.4081/gh.2017.549

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…The process of schistosomiasis transmission is complicated. Environmental and socioeconomic factors, such as humidity, soil type, soil moisture, water flow, and health interventions, all influence the spread of schistosomiasis to varying degrees, especially as they impact the distribution of intermediate hosts [104][105][106][107]. Epidemiological factors alone may underestimate the risk of schistosomiasis transmission, especially in transmission interruption areas [3].…”

Section: Lessons Learned In Risk Identificationmentioning

confidence: 99%

Development of New Technologies for Risk Identification of Schistosomiasis Transmission in China

Shi

Zhang

et al. 2022

Pathogens

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Schistosomiasis is serious parasitic disease with an estimated global prevalence of active infections of more than 190 million. Accurate methods for the assessment of schistosomiasis risk are crucial for schistosomiasis prevention and control in China. Traditional approaches to the identification of epidemiological risk factors include pathogen biology, immunology, imaging, and molecular biology techniques. Identification of schistosomiasis risk has been revolutionized by the advent of computer network communication technologies, including 3S, mathematical modeling, big data, and artificial intelligence (AI). In this review, we analyze the development of traditional and new technologies for risk identification of schistosomiasis transmission in China. New technologies allow for the integration of environmental and socio-economic factors for accurate prediction of the risk population and regions. The combination of traditional and new techniques provides a foundation for the development of more effective approaches to accelerate the process of schistosomiasis elimination.

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Section: Lessons Learned In Risk Identificationmentioning

confidence: 99%

Development of New Technologies for Risk Identification of Schistosomiasis Transmission in China

Shi

Zhang

et al. 2022

Pathogens

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“…In addition, temperature also limits the maturation of the parasite’s intermediate stage(s) inside the vector which, together with other variables, makes it possible to estimate disease distributions with a good level of accuracy. Indeed, the number of publications promoting the use of remotely sensed variables, such as land use, temperature, rainfall, humidity, vegetation etc., to effectively decide the distributions of infectious microorganisms, is increasing exponentially, as exemplified by Rogers and Randolph [5], Foley [6], Bergquist [7], Lord et al [8], Misslin et al [9], and a multitude of other authors. Temperature plays a major role for vector presence, and climate change has by now made it possible for diseases to start expanding their endemic areas, or can be expected to do so.…”

Section: Introductionmentioning

confidence: 99%

Use of Geospatial Surveillance and Response Systems for Vector-Borne Diseases in the Elimination Phase

Malone

Bergquist²,

Martins

et al. 2019

TropicalMed

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The distribution of diseases caused by vector-borne viruses and parasites are restricted by the environmental requirements of their vectors, but also by the ambient temperature inside the host as it influences the speed of maturation of the infectious agent transferred. The launch of the Soil Moisture Active Passive (SMAP) satellite in 2015, and the new ECOSTRESS instrument onboard the International Space Station (ISS) in 2018, established the leadership of the National Aeronautics Space Administration (NASA) in ecology and climate research by allowing the structural and functional classification of ecosystems that govern vector sustainability. These advances, and the availability of sub-meter resolution data from commercial satellites, contribute to seamless mapping and modelling of diseases, not only at continental scales (1 km2) and local community or agricultural field scales (15–30 m2), but for the first time, also at the habitat–household scale (<1 m2). This communication presents current capabilities that are related to data collection by Earth-observing satellites, and draws attention to the usefulness of geographical information systems (GIS) and modelling for the study of important parasitic diseases.

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“…Most of these studies rely on spatial statistics to reveal related factors, which therefore play an important role in simplifying decision making, application of interventions and distribution of resources. Although these techniques are particularly useful for infections requiring vectors (Anno et al, 2015;Bergquist, 2017) they have been shown to also be helpful in the study of cardiovascular diseases (CVDs) and other non-communicable disorders (Olveira et al, 2015;Park et al, 2016;Martínez-Bascuñán and Rojas-Quezada, 2017). Geospatial studies use different techniques to establish correlations, some of which can be complex and difficult to explain to the non-specialist, while the outcome, e.g.…”

Section: Introductionmentioning

confidence: 99%

Spatial analysis for the epidemiological study of cardiovascular diseases: A systematic literature search

et al. 2018

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Cardiovascular diseases (CVDs) are the primary cause of death and disability in de world, and the detection of populations at risk as well as localization of vulnerable areas is essential for adequate epidemiological management. Techniques developed for spatial analysis, among them geographical information systems and spatial statistics, such as cluster detection and spatial correlation, are useful for the study of the distribution of the CVDs. These techniques, enabling recognition of events at different geographical levels of study (e.g., rural, deprived neighbourhoods, etc.), make it possible to relate CVDs to factors present in the immediate environment. The systemic literature presented here shows that this group of diseases is clustered with regard to incidence, mortality and hospitalization as well as obesity, smoking, increased glycated haemoglobin levels, hypertension physical activity and age. In addition, acquired variables such as income, residency (rural or urban) and education, contribute to CVD clustering. Both local cluster detection and spatial regression techniques give statistical weight to the findings providing valuable information that can influence response mechanisms in the health services by indicating locations in need of intervention and assignment of available resources.

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Climate and the distribution of vector-borne diseases: what’s in store?

Abstract: Not available.

Cited by 6 publications

References 16 publications

Development of New Technologies for Risk Identification of Schistosomiasis Transmission in China

Development of New Technologies for Risk Identification of Schistosomiasis Transmission in China

Use of Geospatial Surveillance and Response Systems for Vector-Borne Diseases in the Elimination Phase

Spatial analysis for the epidemiological study of cardiovascular diseases: A systematic literature search

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