Does urban extent from satellite images relate to symptoms of asthma, rhinoconjunctivitis and eczema in children? A cross-sectional study from ISAAC Phase Three

Pacheco-Gonzalez, Rosa; Ellwood, Eamon; Exeter, Daniel J.; Stewart, Alistair; Asher, Innes

doi:10.3109/02770903.2016.1156693

Cited by 4 publications

(5 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Of the 18 studies, data were collected in 10 countries. Of note, one multinational study analyzing data from 237 worldwide centers in the ISAAC Phase Three Study was not shown in this figure 55 . See Table S2 for additional details.…”

Section: Resultsmentioning

confidence: 99%

“…Satellite data now allow the study of green space exposure and land cover in much more detail. We identified two studies where this has been looked at in the context of AD, neither of which found evidence that green space exposure or land cover was associated with AD prevalence 54,55 …”

Section: Resultsmentioning

confidence: 99%

“…Furthermore, only 2 of the 18 studies use data collected in more than one country, highlighting the need for more international cohorts and collaborations to understand the comparative and cumulative impact of climate change on human health worldwide. 54,55 Such data are important to identify how climate change sits within the wider landscape of factors affecting AD.…”

Section: Discussionmentioning

confidence: 99%

“…Future studies could also leverage e‐tools in the form of mobile Apps that allow collection of environmental exposure and disease severity data at the level of the individual over time (rather than just at one time point) and integrate multiple measures. Furthermore, only 2 of the 18 studies use data collected in more than one country, highlighting the need for more international cohorts and collaborations to understand the comparative and cumulative impact of climate change on human health worldwide 54,55 . Such data are important to identify how climate change sits within the wider landscape of factors affecting AD.…”

Section: Discussionmentioning

confidence: 99%

See 3 more Smart Citations

Impact of climate change on atopic dermatitis: A review by the International Eczema Council

Wang,

Stefanovic,

Orfali

et al. 2024

Allergy

View full text Add to dashboard Cite

Atopic dermatitis (AD), the most burdensome skin condition worldwide, is influenced by climatic factors and air pollution; however, the impact of increasing climatic hazards on AD remains poorly characterized. Leveraging an existing framework for 10 climatic hazards related to greenhouse gas emissions, we identified 18 studies with evidence for an impact on AD through a systematic search. Most climatic hazards had evidence for aggravation of AD the impact ranged from direct effects like particulate matter‐induced AD exacerbations from wildfires to the potential for indirect effects like drought‐induced food insecurity and migration. We then created maps comparing the past, present, and future projected burden of climatic hazards to global AD prevalence data. Data are lacking, especially from those regions most likely to experience more climatic hazards. We highlight gaps important for future research: understanding the synergistic impacts of climatic hazards on AD, long‐term disease activity, the differential impact on vulnerable populations, and how basic mechanisms explain population‐level trends.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Impact of climate change on atopic dermatitis: A review by the International Eczema Council

Wang,

Stefanovic,

Orfali

et al. 2024

Allergy

View full text Add to dashboard Cite

show abstract

“…The assessment of this paper, when using the local administrative boundary provided in the portal found that it is not integrated with the global coordinate system. GADM usually be utilized for ArcGIS, and similar software is a spatial database that contains the location of the world's administrative boundaries [11]. GADM also a highresolution and open-source database which is available for academic purpose as well as for other non-commercial utilization.…”

Section: A Packagesmentioning

confidence: 99%

Assessing Indonesia Spatial Data Infrastructure Using R for Disaster Management

Jailani

2019

Int. J. Adv. Sci. Eng. Inf. Technol.

View full text Add to dashboard Cite

Indonesia is a country with high disaster risk, entitled to ring of fire as one of the countries, which are surrounded by tectonic plates. The country has been exposed to natural hazards for decades. However, every time the natural hazard hits, the number of casualties remains huge. There is a serious question on how disaster management is going on in Indonesia and what knowledge could help to minimize or even prevent such huge casualties in any disaster occurrences. Big data can be a new approach towards natural disaster management mainly because it has the ability to visualize, analyze, and predict natural disasters. In the openly big data era, it is rather easy to process data with open-source software for managing the post-disaster as well as pre-disaster effect. The question remaining is how well the data is, which will be processed. This paper aims to appraise the quality of Indonesia's spatial data infrastructure using the R programming language in order to address natural disaster management and eventually lower the impact of the disaster. Some of the assessment criteria used in this paper are metadata of the data, positional accuracy, and completeness. The article concludes that Indonesia, as a country with high level of exposure to natural hazards, still lacks in NSDI quality, especially in providing disaster data. The most damaged buildings in Palu, with 2,416 damaged buildings affected. The subdistrict of Nunu has the lowest number, with only 1 building damaged. The number of sub-districts with damaged buildings in Palu is 14 of the total 43 sub-districts.

show abstract