Assessment of the temperature effect on childhood diarrhea using satellite imagery

Xu, Zhiwei; Liu, Yang; Ma, Zongwei; Toloo, Ghasem Sam; Hu, Wenbiao; Tong, Shilu

doi:10.1038/srep05389

Cited by 49 publications

(50 citation statements)

References 38 publications

(49 reference statements)

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“…The period of high incidence of BD in Chongqing is mainly concentrated in May-October of each year. In summer and autumn, the temperature in Chongqing rises, the air pressure decreases, rainwater is abundant and flies and bacteria breed easily, which provides good conditions for the reproduction and transmission of Shigella [28][29][30][31]. In addition, a significant increase in temperature can not only change people's eating habits but also have adverse effects on body temperature and metabolism.…”

Section: Discussionmentioning

confidence: 99%

Epidemiological characteristics of bacillary dysentery from 2009 to 2016 and its incidence prediction model based on meteorological factors

Meng

Liu

Xie

et al. 2019

Environ Health Prev Med

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Background: This study aimed to analyse the epidemiological characteristics of bacillary dysentery (BD) caused by Shigella in Chongqing, China, and to establish incidence prediction models based on the correlation between meteorological factors and BD, thus providing a scientific basis for the prevention and control of BD.Methods: In this study, descriptive methods were employed to investigate the epidemiological distribution of BD. The Boruta algorithm was used to estimate the correlation between meteorological factors and BD incidence. The genetic algorithm (GA) combined with support vector regression (SVR) was used to establish the prediction models for BD incidence. Results: In total, 68,855 cases of BD were included. The incidence declined from 36.312/100,000 to 23.613/100,000, with an obvious seasonal peak from May to October. Males were more predisposed to the infection than females (the ratio was 1.118:1). Children < 5 years old comprised the highest incidence (295.892/100,000) among all age categories, and pre-education children comprised the highest proportion (34,658 cases, 50.335%) among all occupational categories. Eight important meteorological factors, including the highest temperature, average temperature, average air pressure, precipitation and sunshine, were correlated with the monthly incidence of BD. The obtained mean absolute percent error (MAPE), mean squared error (MSE) and squared correlation coefficient (R 2 ) of GA_SVR_MONTH values were 0.087, 0.101 and 0.922, respectively.Conclusion: From 2009 to 2016, BD incidence in Chongqing was still high, especially in the main urban areas and among the male and pre-education children populations. Eight meteorological factors, including temperature, air pressure, precipitation and sunshine, were the most important correlative feature sets of BD incidence. Moreover, BD incidence prediction models based on meteorological factors had better prediction accuracies. The findings in this study could provide a panorama of BD in Chongqing and offer a useful approach for predicting the incidence of infectious disease. Furthermore, this information could be used to improve current interventions and public health planning.

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Section: Discussionmentioning

confidence: 99%

Epidemiological characteristics of bacillary dysentery from 2009 to 2016 and its incidence prediction model based on meteorological factors

Meng

Liu

Xie

et al. 2019

Environ Health Prev Med

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“…This has been recently demonstrated in a study of temperature and birth weight in Massachusetts (27). As a result, recently increasing epidemiological studies have used the finer scale exposure estimates from remote sensing (28-30). …”

Section: Discussionmentioning

confidence: 99%

Estimating daily air temperature across the Southeastern United States using high-resolution satellite data: A statistical modeling study

Shi

Liu

Kloog

et al. 2016

Environmental Research

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Accurate estimates of spatio-temporal resolved near-surface air temperature (Ta) are crucial for environmental epidemiological studies. However, values of Ta are conventionally obtained from weather stations, which have limited spatial coverage. Satellite surface temperature (Ts) measurements offer the possibility of local exposure estimates across large domains. The Southeastern United States has different climatic conditions, more small water bodies and wetlands, and greater humidity in contrast to other regions, which add to the challenge of modeling air temperature. In this study, we incorporated satellite Ts to estimate high resolution (1 km × 1 km) daily Ta across the southeastern USA for 2000-2014. We calibrated Ts to Ta measurements using mixed linear models, land use, and separate slopes for each day. A high out-of-sample cross-validated R2 of 0.952 indicated excellent model performance. When satellite Ts were unavailable, linear regression on nearby monitors and spatio-temporal smoothing was used to estimate Ta. The daily Ta estimations were compared to the NASA's Modern-Era Retrospective Analysis for Research and Applications (MERRA) model. A good agreement with an R2 of 0.969 and a mean squared prediction error (RMSPE) of 1.376 °C was achieved. Our results demonstrate that Ta can be reliably predicted using this Ts-based prediction model, even in a large geographical area with topography and weather patterns varying considerably.

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“…Although heat has an additional effect on childhood diarrhea, and this effect increases with the intensity and duration of heat waves, 21 there is no evidence that the primary dental eruption has an association with diarrhea, however, children with low birth weight have had more manifestations related to dentition, and were 2.9 times more likely to develop diarrhea compared to children born with adequate weight. 22 Maternal knowledge and beliefs are important predictors for the prevention of childhood diarrhea, since they increase mothers' confidence in promoting care that reduces their incidence.…”

Section: Maternal Knowledge For Prevention Of Childhood Diarrheamentioning

confidence: 92%

Influence of socio-economic conditions and maternal knowledge in self-effectiveness for prevention of childhood diarrhea

Oliveira

Bezerra

et al. 2017

Esc. Anna Nery

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Objective: To verify the association among socioeconomic conditions, maternal behaviors and knowledge with their self-efficacy to prevent childhood diarrhea. Method: Analytical, quantitative study. Interviews were conducted with 238 mothers of children under five admitted into a hospital from January to April 2016. Were collected Sociodemographic data, maternal knowledge on prevention and management of childhood diarrhea, and application of the Maternal Self-Efficacy Scale for Childhood Diarrhea. Referente aos conhecimentos sobre causas da diarreia verificou-se associação entre autoeficácia e as variáveis: quentura/calor (p = 0,021) e a dentição (p = 0,030). Houve ainda associação entre autoeficácia e as condutas preventivas: higiene do domicílio (p = 0,023) e prática do aleitamento materno (p = 0,028). Conclusão: Conclui-se que as condições socioeconômicas e os conhecimentos apresentados pelas mães podem influenciar o nível de autoeficácia materna para prevenção da diarreia infantil.Palavras-chave: Diarreia infantil; Autoeficácia; Conhecimento; Saúde da Criança; Enfermagem. resumen Objetivo: Investigar la asociación entre condiciones socioeconómicas, conductas y conocimientos maternos con su auto-eficacia para la prevención de la diarrea infantil. Método: Estudio analítico, cuantitativo. Participaron 238 madres de niños menores de cinco años, ingresados en una unidad hospitalaria entre enero-abril de 2016. Fueron recolectados datos socio-demográficos, conocimientos sobre prevención y tratamiento de la diarrea infantil y aplicación de la Escala de Auto-eficacia Materna para Prevención de la Diarrea Infantil. Resultados: Asociación entre variables socioeconómicas y auto-eficacia materna: ingresos familiares (p = 0,049); edad (p = 0,010); tipo de casa (p = 0,042), destinación de basuras (p = 0,037); tipo de alcantarillado (p = 0,016); tipo de sanitario (p = 0,006). Referente al conocimiento de las causas de la diarrea: calor (p = 0,021); dentición (p = 0,030). Asociación entre autoeficacia y medidas preventivas: higiene del hogar (p = 0,023); práctica de la lactancia materna (p = 0,028). Conclusión: Condiciones socioeconómicas y conocimientos proporcionados por las madres pueden influir en el nivel de auto-eficacia materna para prevenir la diarrea infantil.

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Assessment of the temperature effect on childhood diarrhea using satellite imagery

Cited by 49 publications

References 38 publications

Epidemiological characteristics of bacillary dysentery from 2009 to 2016 and its incidence prediction model based on meteorological factors

Epidemiological characteristics of bacillary dysentery from 2009 to 2016 and its incidence prediction model based on meteorological factors

Estimating daily air temperature across the Southeastern United States using high-resolution satellite data: A statistical modeling study

Influence of socio-economic conditions and maternal knowledge in self-effectiveness for prevention of childhood diarrhea

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