Application of smart mosquito monitoring traps for the mosquito forecast systems by Seoul Metropolitan city

Abstract Background The purpose of this study, mosquito forecast system implemented by Seoul Metropolitan city, was to obtain the mosquito prediction formula by using the mosquito population data and the environmental data of the past. Results For this study, the mosquito population data from April 1, 2015, to October 31, 2017, were collected. The mosquito population data were collected from the 50 smart mosquito traps (DMSs), two of which were installed in each district (Korean, gu) in Seoul Metropolitan city since 2015. Environmental factors were collected from the Automatic Weather System (AWS) by the Korea Meteorological Administration. The data of the nearest AWS devices from each DMS were used for the prediction formula analysis. We found out that the environmental factors affecting the mosquito population in Seoul Metropolitan city were the mean temperature and rainfall. We predicted the following equations by the generalized linear model analysis: ln(Mosquito population) = 2.519 + 0.08 × mean temperature + 0.001 × rainfall. Conclusions We expect that the mosquito forecast system would be used for predicting the mosquito population and to prevent the spread of disease through mosquitoes.

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Lurking in the depth: Pond depth predicts microhabitat selection by Rhinella icterica (Anura: Bufonidae) tadpoles at two different sampling scales

Herpetozoa ◽

10.3897/herpetozoa.34.e56326 ◽

2021 ◽

Vol 34 ◽

pp. 149-158

Author(s):

Gabriel Preuss ◽

Anna Victoria Silverio Righetto Mauad ◽

Rafael Shinji Akiyama Kitamura ◽

Thara Santiago de Assis ◽

Marina Corrêa Scalon ◽

...

Keyword(s):

Habitat Selection ◽

Environmental Factors ◽

Habitat Degradation ◽

Ecological Factors ◽

Environmental Data ◽

Ecological Processes ◽

Factors Affecting ◽

Environmental Perturbations ◽

Species Establishment ◽

The Tropics

Habitat selection has long been a central theme in ecology and has historically considered both physiological responses and ecological factors affecting species establishment. Investigating habitat selection patterns at different scales can provide important information on the relative roles of the environmental factors influencing the organisms’ abilities to use their surrounding habitat. This work aimed at investigating which environmental factors determine habitat selection by Rhinella icterica tadpoles, and also took the opportunity to investigate how the scale in which tadpoles and environmental data are sampled might influence the habitat selection results. A total of 2.240 tadpoles were counted in the whole sampling area, and while substrate cover and depth were the variables that better explained the abundance of tadpoles at the larger scale (plot level), depth and water turbidity better explained tadpoles’ abundance at the smaller scale (subplot level). The results suggest that avoiding predation by matching the background color is a likely process explaining tadpoles’ occupancy at both scales. Depth is known to influence tadpole habitat use in the tropics, and although its combination with turbidity and substrate cover varied between scales, our study suggests that sampling at different scales might not affect the inferred ecological processes driving habitat selection. This information might also be useful to predict tadpoles’ responses to micro-environmental perturbations and help in guiding the choice of parameters that should be taken into account when analyzing the effects of habitat degradation in Atlantic Forest amphibian populations.

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Environmental Factors Affecting Sustainable Uses of Sewage Sludge as Agricultural Fertilizer

Journal of Environmental Systems ◽

10.2190/chlr-590x-d8pl-33qp ◽

1994 ◽

Vol 23 (1) ◽

pp. 83-96 ◽

Cited By ~ 4

Author(s):

Denis Couillard

Keyword(s):

Sewage Sludge ◽

Environmental Factors ◽

Factors Affecting ◽

Agricultural Fertilizer

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Environmental factors affecting reproducibility of bioremediation field assays in Antarctica

Cold Regions Science and Technology ◽

10.1016/j.coldregions.2019.102915 ◽

2020 ◽

Vol 169 ◽

pp. 102915 ◽

Cited By ~ 2

Author(s):

L.M. Martínez Álvarez ◽

L.A.M. Ruberto ◽

J.M. Gurevich ◽

W.P. Mac Cormack

Keyword(s):

Environmental Factors ◽

Factors Affecting

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Environmental factors affecting seed germination and seedling emergence of three Phalaris species

Crop Protection ◽

10.1016/j.cropro.2021.105743 ◽

2021 ◽

pp. 105743

Author(s):

M. Rezvani ◽

S. Nadimi ◽

F. Zaefarian ◽

B.S. Chauhan

Keyword(s):

Seed Germination ◽

Environmental Factors ◽

Seedling Emergence ◽

Factors Affecting

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Cohort profile: the Chinese Pregnant Women Cohort Study and Offspring Follow-up (CPWCSaOF)

BMJ Open ◽

10.1136/bmjopen-2020-044933 ◽

2021 ◽

Vol 11 (3) ◽

pp. e044933

Author(s):

Tianchen Lyu ◽

Yunli Chen ◽

Yongle Zhan ◽

Yingjie Shi ◽

Hexin Yue ◽

...

Keyword(s):

Cohort Study ◽

Pregnant Women ◽

First Trimester ◽

Health Problems ◽

Environmental Data ◽

Geographical Information ◽

Obstetric Outcomes ◽

Factors Affecting ◽

Link Type

PurposeA multicentre prospective cohort study, known as the Chinese Pregnant Women Cohort Study (CPWCS), was established in 2017 to collect exposure data during pregnancy (except environmental exposure) and analyse the relationship between lifestyle during pregnancy and obstetric outcomes. Data about mothers and their children’s life and health as well as children’s laboratory testing will be collected during the offspring follow-up of CPWCS, which will enable us to further investigate the longitudinal relationship between exposure in different periods (during pregnancy and childhood) and children’s development.Participants9193 pregnant women in 24 hospitals in China who were in their first trimester (5–13 weeks gestational age) from 25 July 2017 to 26 November 2018 were included in CPWCS by convenience sampling. Five hospitals in China which participated in CPWCS with good cooperation will be selected as the sample source for the Chinese Pregnant Women Cohort Study (Offspring Follow-up) (CPWCS-OF).Findings to dateSome factors affecting pregnancy outcomes and health problems during pregnancy have been discovered through data analysis. The details are discussed in the ‘Findings to date’ section.Future plansInfants and children and their mothers who meet the criteria will be enrolled in the study and will be followed up every 2 years. The longitudinal relationship between exposure (questionnaire data, physical examination and biospecimens, medical records, and objective environmental data collected through geographical information system and remote sensing technology) in different periods (during pregnancy and childhood) and children’s health (such as sleeping problem, oral health, bowel health and allergy-related health problems) will be analysed.Trail registration numberCPWCS was registered with ClinicalTrials.gov on 18 January 2018: NCT03403543. CPWCS-OF was registered with ClinicalTrials.gov on 24 June 2020: NCT04444791.

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The impact of environmental variables on the spread of COVID-19 in the Republic of Korea

Scientific Reports ◽

10.1038/s41598-021-85493-y ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Yong Kwan Lim ◽

Oh Joo Kweon ◽

Hye Ryoun Kim ◽

Tae-Hyoung Kim ◽

Mi-Kyung Lee

Keyword(s):

Environmental Factors ◽

Virus Disease ◽

Environmental Parameters ◽

Environmental Data ◽

Republic Of Korea ◽

Metropolitan Region ◽

Health Concern ◽

Ozone Level ◽

The Republic ◽

The Impact

AbstractCorona virus disease 2019 (COVID-19) has been declared a global pandemic and is a major public health concern worldwide. In this study, we aimed to determine the role of environmental factors, such as climate and air pollutants, in the transmission of COVID-19 in the Republic of Korea. We collected epidemiological and environmental data from two regions of the Republic of Korea, namely Seoul metropolitan region (SMR) and Daegu-Gyeongbuk region (DGR) from February 2020 to July 2020. The data was then analyzed to identify correlations between each environmental factor with confirmed daily COVID-19 cases. Among the various environmental parameters, the duration of sunshine and ozone level were found to positively correlate with COVID-19 cases in both regions. However, the association of temperature variables with COVID-19 transmission revealed contradictory results when comparing the data from SMR and DGR. Moreover, statistical bias may have arisen due to an extensive epidemiological investigation and altered socio-behaviors that occurred in response to a COVID-19 outbreak. Nevertheless, our results suggest that various environmental factors may play a role in COVID-19 transmission.

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