Geospatial Health最新文献_第10页

A spatiotemporal analysis of the impact of the COVID-19 outbreak on noise pollution in Tehran, Iran. 新冠肺炎疫情对伊朗德黑兰噪声污染影响的时空分析

IF 1.7 4区医学

Geospatial Health Pub Date : 2022-11-29 DOI: 10.4081/gh.2022.1114

Omid Reza Abbasi, Yasser Ebrahimian Ghajari, Ali Asghar Alesheikh

{"title":"A spatiotemporal analysis of the impact of the COVID-19 outbreak on noise pollution in Tehran, Iran.","authors":"Omid Reza Abbasi, Yasser Ebrahimian Ghajari, Ali Asghar Alesheikh","doi":"10.4081/gh.2022.1114","DOIUrl":"https://doi.org/10.4081/gh.2022.1114","url":null,"abstract":"Noise pollution is one of the non-natural hazards in cities. Long-term exposure to this kind of pollution has severe destructive effects on human health, including mental illness, stress, anxiety, hormonal disorders, hypertension and therefore also cardiovascular disease. One of the primary sources of noise pollution in cities is transportation. The COVID-19 outbreak caused a significant change in the pattern of transportation in cities of Iran. In this article, we studied the spatial and temporal patterns of noise pollution levels in Tehran before and after the outbreak of this disease. An overall analysis from one year before until one year after the outbreak, which showed that noise pollution in residential areas of Tehran had increased by 7% over this period. In contrast, it had diminished by about 2% in the same period in the city centre and around Tehran's Grand Bazaar. Apart from these changes, we observed no specific pattern in other city areas. However, a monthly data analysis based on the t-test, the results show that the early months of the virus outbreak were associated with a significant pollution reduction. However, this reduction in noise pollution was not sustained; instead a gradual increase in pollution occurred over the following months. In the months towards the end of the period analysed, noise pollution increased to a level even higher than before the outbreak. This increase can be attributed to the gradual reopening of businesses or people ignoring the prevailing conditions.","PeriodicalId":56260,"journal":{"name":"Geospatial Health","volume":"17 2","pages":""},"PeriodicalIF":1.7,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10492797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatio-temporal analysis of tuberculosis incidence in North Aceh District, Indonesia 2019-2021. 2019-2021年印度尼西亚北亚齐地区结核病发病率时空分析

IF 1.7 4区医学

Geospatial Health Pub Date : 2022-11-29 DOI: 10.4081/gh.2022.1148

Farrah Fahdhienie, Frans Yosep Sitepu

{"title":"Spatio-temporal analysis of tuberculosis incidence in North Aceh District, Indonesia 2019-2021.","authors":"Farrah Fahdhienie, Frans Yosep Sitepu","doi":"10.4081/gh.2022.1148","DOIUrl":"https://doi.org/10.4081/gh.2022.1148","url":null,"abstract":"Tuberculosis (TB) infection continues to present as a leading cause of morbidity and mortality in North Aceh District, Aceh Province, Indonesia. Local TB spatial risk factors have been investigated but space-time clusters of TB in the district have not yet been the subject of study. To that end, research was undertaken to detect clusters of TB incidence during 2019-2021 in this district. First, the office of each of the 27 sub-districts wasgeocoded by collecting data of their geographical coordinates. Then, a retrospective space-time scan statistics analysis based on population data and annual TB incidence was performed using SaTScan TM v9.4.4. The Poisson model was used to identify the areas at high risk of TB and the clusters found were ranked by their likelihood ratio (LLR), with the significance level set at 0.05.There were 2,266 TB cases reported in North Aceh District and the annualized average incidence was 122.91 per 100,000 population. The SaTScan analysis identified that there were three most like clusters and ten secondary clusters, while Morans'Ishowed that there was spatial autocorrelation of TB in the district. The sub-district of GeureudongPase was consistently the location of most likely clusters. The indicators showed that there were significant differences between TB data before the COVID-19 pandemic and those found during the study period. These findings may assist health authorities to improve the TB preventive strategies and develop public health interventions, with special reference to the areas where the clusters were found.","PeriodicalId":56260,"journal":{"name":"Geospatial Health","volume":"17 2","pages":""},"PeriodicalIF":1.7,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10549418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Assessing spatial patterns of HIV prevalence and interventions in semi-urban settings in South Africa. Implications for spatially targeted interventions. 评估南非半城市环境中艾滋病毒流行的空间格局和干预措施。对空间定向干预的影响。

IF 1.7 4区医学

Geospatial Health Pub Date : 2022-08-29 DOI: 10.4081/gh.2022.1084

Lucy Chimoyi, Zvifadzo Matsena-Zingoni, Salome Charalambous, Edmore Marinda, Samuel Manda, Eustasius Musenge

{"title":"Assessing spatial patterns of HIV prevalence and interventions in semi-urban settings in South Africa. Implications for spatially targeted interventions.","authors":"Lucy Chimoyi, Zvifadzo Matsena-Zingoni, Salome Charalambous, Edmore Marinda, Samuel Manda, Eustasius Musenge","doi":"10.4081/gh.2022.1084","DOIUrl":"https://doi.org/10.4081/gh.2022.1084","url":null,"abstract":"Equitable allocation of resources targeting the human immunodeficiency virus (HIV) at the local level requires focusing interventions in areas of the greatest need. Understanding the geographical variation in the HIV epidemic and uptake of selected HIV prevention and treatment programmes are necessary to identify such areas. Individual-level HIV data were obtained from a 2012 national HIV survey in South Africa. Spatial regression models on each outcome measure (HIV infection, sub-optimal condom use or non-anti-retroviral treatment (ART) adjusted for spatial random effects at the ward level were fitted using WINBUGS software. In addition, ward-level data was utilized to estimate condom use coverage and ART initiation rates which were obtained from routinely collected data in 2012. Ordinary Kriging was used to produce smoothed maps of HIV infection, condom use coverage and ART initiation rates. HIV infection was associated with individuals undertaking tertiary education [posterior odds ratio (POR): 19.53; 95% credible intervals (CrI): 3.22- 84.93]. Sub-optimal condom use increased with age (POR: 1.09; 95%CrI: 1.06-1.11) and was associated with being married (POR: 4.14; 95%CrI: 1.23-4.28). Non-ART use was associated with being married (POR: 6.79; 95%CrI: 1.43-22.43). There were clusters with high HIV infection, sub-optimal condom use, and non- ART use in Ekurhuleni, an urban and semi-urban district in Gauteng province, South Africa. Findings show the need for expanding condom programmes and/or strengthening other HIV prevention programmes such as pre-exposure prophylaxis and encouraging sustained engagement in HIV care and treatment in the identified areas with the greatest need in Ekurhuleni Metropolitan Municipality.","PeriodicalId":56260,"journal":{"name":"Geospatial Health","volume":"17 2","pages":""},"PeriodicalIF":1.7,"publicationDate":"2022-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9892013/pdf/nihms-1857374.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10643636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Use of soil moisture active passive satellite data and WorldClim 2.0 data to predict the potential distribution of visceral leishmaniasis and its vector Lutzomyia longipalpis in Sao Paulo and Bahia states, Brazil. 利用土壤湿度主动-被动卫星数据和WorldClim 2.0数据预测巴西圣保罗州和巴伊亚州内脏利什曼病及其媒介长须Lutzomyia的潜在分布。

IF 1.7 4区医学

Geospatial Health Pub Date : 2022-06-08 DOI: 10.4081/gh.2022.1095

M. M. Rodgers, E. Fonseca, P. Nieto, J. Malone, J. Luvall, J. McCarroll, R. Avery, M. Bavia, R. Guimarães, Xue Wen, M. M. N. Silva, D. D. M. T. Carneiro, L. Cardim

{"title":"Use of soil moisture active passive satellite data and WorldClim 2.0 data to predict the potential distribution of visceral leishmaniasis and its vector Lutzomyia longipalpis in Sao Paulo and Bahia states, Brazil.","authors":"M. M. Rodgers, E. Fonseca, P. Nieto, J. Malone, J. Luvall, J. McCarroll, R. Avery, M. Bavia, R. Guimarães, Xue Wen, M. M. N. Silva, D. D. M. T. Carneiro, L. Cardim","doi":"10.4081/gh.2022.1095","DOIUrl":"https://doi.org/10.4081/gh.2022.1095","url":null,"abstract":"Visceral leishmaniasis (VL) is a neglected tropical disease transmitted by Lutzomyia longipalpis, a sand fly widely distributed in Brazil. Despite efforts to strengthen national control programs reduction in incidence and geographical distribution of VL in Brazil has not yet been successful; VL is in fact expanding its range in newly urbanized areas. Ecological niche models (ENM) for use in surveillance and response systems may enable more effective operational VL control by mapping risk areas and elucidation of eco-epidemiologic risk factors. ENMs for VL and Lu. longipalpis were generated using monthly WorldClim 2.0 data (30-year climate normal, 1-km spatial resolution) and monthly soil moisture active passive (SMAP) satellite L4 soil moisture data. SMAP L4 Global 3-hourly 9-km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data V004 were obtained for the first image of day 1 and day 15 (0:00-3:00 hour) of each month. ENM were developed using MaxEnt software to generate risk maps based on an algorithm for maximum entropy. The jack-knife procedure was used to identify the contribution of each variable to model performance. The three most meaningful components were used to generate ENM distribution maps by ArcGIS 10.6. Similar patterns of VL and vector distribution were observed using SMAP as compared to WorldClim 2.0 models based on temperature and precipitation data or water budget. Results indicate that direct Earth-observing satellite measurement of soil moisture by SMAP can be used in lieu of models calculated from classical temperature and precipitation climate station data to assess VL risk.","PeriodicalId":56260,"journal":{"name":"Geospatial Health","volume":" 8","pages":""},"PeriodicalIF":1.7,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41254278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Spatial epidemiology and meteorological risk factors of COVID-19 in Fars Province, Iran. 伊朗法尔斯省新冠肺炎的空间流行病学和气象危险因素。

IF 1.7 4区医学

Geospatial Health Pub Date : 2022-06-08 DOI: 10.4081/gh.2022.1065

M. Zare, A. Semati, A. Mirahmadizadeh, Abdulrasool Hemmati, M. Ebrahimi

引用次数: 0

There is more to satellite imagery than meets the eye. 卫星图像比我们看到的要丰富得多。

IF 1.7 4区医学

Geospatial Health Pub Date : 2022-05-31 DOI: 10.4081/gh.2022.1106

R. Bergquist, J. Malone

引用次数: 0

Post-traumatic stress in people from the interior drylands of the Maule region, Chile in the context of climate change. 在气候变化的背景下，智利毛勒地区内陆旱地的人们遭受创伤后的压力。

IF 1.7 4区医学

Geospatial Health Pub Date : 2022-05-18 DOI: 10.4081/gh.2022.1045

Cristián Cáceres, Marcelo Leiva-Bianchi, Yony Ormazábal, Carlos Mena, Juan Carlos Cantillana

{"title":"Post-traumatic stress in people from the interior drylands of the Maule region, Chile in the context of climate change.","authors":"Cristián Cáceres, Marcelo Leiva-Bianchi, Yony Ormazábal, Carlos Mena, Juan Carlos Cantillana","doi":"10.4081/gh.2022.1045","DOIUrl":"https://doi.org/10.4081/gh.2022.1045","url":null,"abstract":"Progressive changes in local environmental scenarios, accelerated by global climate change, can negatively affect the mental health of people who inhabit these areas. The magnitude of these effects may vary depending on the socioeconomic conditions of people and the characteristics of the environment, so certain territories can be more vulnerable than others. In this context, the present study aimed to geographically analyse the levels of psychosocial impact and the types of disruptive responses related to the new territorial scenarios caused by climate change in the coastal drylands of the Maule region, Chile. For this purpose, 223 people from two communes (Curepto and Pencahue) were psychosocially evaluated for post-traumatic stress disorder (PTSD) together with a survey of the prevailing sociodemographic and socioeconomic conditions in relation to the environmental variables of the territory. All information was georeferenced, stored within an ArcGIS Desktop geographic information system (GIS) and then investigated by application of contingency tables, ANOVA and local clustering analysis using SSP statistical software. The results indicated a high level of PTSD in the population, with significant differences related to age and education as well as employment conditions and income. The spatial results showed high PTSD values in the communal capital of Curepto in the central agricultural valley near the estuary of the local river, while the existence of coldspots was observed in the central valley of the Pencahue commune. It was concluded that proximity to population centres and surface water sources played the greatest role for the development of PTSD.","PeriodicalId":56260,"journal":{"name":"Geospatial Health","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44897794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Clusters of malaria cases at sub-district level in endemic area in Java Island, Indonesia. 印度尼西亚爪哇岛流行区分区一级的聚集性疟疾病例。

IF 1.7 4区医学

Geospatial Health Pub Date : 2022-05-18 DOI: 10.4081/gh.2022.1048

D. Rejeki, Sri Nurlaela, Devi Octaviana, Bangun Wijayanto, Solikhah Solikhah

{"title":"Clusters of malaria cases at sub-district level in endemic area in Java Island, Indonesia.","authors":"D. Rejeki, Sri Nurlaela, Devi Octaviana, Bangun Wijayanto, Solikhah Solikhah","doi":"10.4081/gh.2022.1048","DOIUrl":"https://doi.org/10.4081/gh.2022.1048","url":null,"abstract":"Malaria remains one of the essential public health problems in Indonesia. The year 2015 was originally set as the elimination target in Java Island, but there are still several regencies on Java reporting malaria cases. Spatial technology helps determine local variations in malaria transmission, control risk areas and assess the outcome of interventions. Information on distribution patterns of malaria at the sub-district level, presented as spatial, temporal, and spatiotemporal data, is vital in planning control interventions. Information on malaria transmission at the sub-district level in three regencies in Java (Banyumas, Kebumen, and Purbalingga) was collected from the Agency for Regional Development (Bappeda), the Population and Civil Registration Agency (Disdukcapil) and Statistics Indonesia (BPS). Global spatial autocorrelation and space-time clustering was investigated together with purely spatial and purely temporal analyses using geographical information systems (GIS) by ArcGis 10.2 and SaTScan 8.0 to detect areas at high risk of malaria. Our results show that malaria was spatially clustered in the study area in central Java, in particular in the Banyumas and Purbalingga regencies. The temporal analysis revealed that malaria clusters predominantly appeared in the period January-April. The results of the spatiotemporal analysis showed that there was one most likely malaria cluster and three secondary clusters in southern central Java. The most likely cluster was located in Purbalingga Regency covering one sub-district and remaining from the beginning of 2016 to the end of 2018. The approach used can assist the setting of resource priorities to control and eliminate malaria.","PeriodicalId":56260,"journal":{"name":"Geospatial Health","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45191086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Spatial analysis of stunting determinants in 514 Indonesian districts/cities: Implications for intervention and setting of priority. 514个印度尼西亚地区/城市发育迟缓决定因素的空间分析：对干预和确定优先事项的影响。

IF 1.7 4区医学

Geospatial Health Pub Date : 2022-05-17 DOI: 10.4081/gh.2022.1055

T. Eryando, Tiopan Sipahutar, Meiwita Paulina Budhiharsana, K. Siregar, Muhammad Nur Aidi, Minarto Minarto, D. Utari, Martya Rahmaniati, H. Hendarwan

{"title":"Spatial analysis of stunting determinants in 514 Indonesian districts/cities: Implications for intervention and setting of priority.","authors":"T. Eryando, Tiopan Sipahutar, Meiwita Paulina Budhiharsana, K. Siregar, Muhammad Nur Aidi, Minarto Minarto, D. Utari, Martya Rahmaniati, H. Hendarwan","doi":"10.4081/gh.2022.1055","DOIUrl":"https://doi.org/10.4081/gh.2022.1055","url":null,"abstract":"While the national prevalence of stunting in Indonesia has decreased, the level remains high in many districts/cities and there is significant variation. This ecological study employed aggregated data from the Basic Health Research Report and the District/City Poverty Data from 2018. We investigated the determinants of stunting prevalence at the district/city level, including autocorrelation applying the spatial autoregressive (SAR) model. The analyses revealed stunting prevalence above the national average in 282 districts/cities (54.9%), i.e. ≥30% in 297 districts/cities (57.8%) and ≥40% in 91 districts/cities (17.7%). Autocorrelation was found between Sumatra, Java, Sulawesi as well as Bali, East Nusa Tenggara and West Nusa Tenggara (Bali NTT NTB). The SAR modelling revealed the following variables with significant impact on the stunting prevalence in various parts of the country: closet defecation, hand washing, at least four antenatal care visits during pregnancy, poverty, immunisation and supplementary food for children under 5 years.","PeriodicalId":56260,"journal":{"name":"Geospatial Health","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45605820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Habitat suitability map of Ixodes ricinus tick in France using multi-criteria analysis. 利用多标准分析法绘制法国蓖麻蜱生境适宜性图。

IF 1.7 4区医学

Geospatial Health Pub Date : 2022-05-17 DOI: 10.4081/gh.2022.1058

I. Lebert, Séverine Bord, C. Saint-Andrieux, Eva Cassar, P. Gasqui, F. Beugnet, K. Chalvet-Monfray, S. Vanwambeke, G. Vourc'h, M. René-Martellet

{"title":"Habitat suitability map of Ixodes ricinus tick in France using multi-criteria analysis.","authors":"I. Lebert, Séverine Bord, C. Saint-Andrieux, Eva Cassar, P. Gasqui, F. Beugnet, K. Chalvet-Monfray, S. Vanwambeke, G. Vourc'h, M. René-Martellet","doi":"10.4081/gh.2022.1058","DOIUrl":"https://doi.org/10.4081/gh.2022.1058","url":null,"abstract":"The tick Ixodes ricinus is widely distributed across Europe and is responsible for the transmission of several pathogens to humans and animals. In this study, we used a knowledge-based method to map variations in habitat suitability for I. ricinus ticks throughout continental France and Corsica. The multi-criteria decision analysis (MCDA) integrated four major biotic and abiotic factors known to influence tick populations: climate, land cover, altitude and the density of wild ungulates. For each factor, habitat suitability index (HSI) values were attributed to different locations based on knowledge regarding its impact on tick populations. For the MCDA, two methods of factor combination were tested, additive and multiplicative, both which were evaluated at the spatial scales of departments and local municipalities. The resulting habitat suitability maps (resolution=100x100 m) revealed that conditions are suitable for I. ricinus over most of France and Corsica. Particularly suitable habitats were located in central, north-eastern and south-western France, while less-suitable habitats were found in the Mediterranean and mountainous regions. To validate the approach, the HSI scores were compared to field data of I. ricinus nymph abundance. Regardless of scale, the correlation between abundance indicator and HSI score was stronger for the additive than for the multiplicative approach. Overall, this study demonstrates the value of MCDA for estimating habitat suitability maps for I. ricinus abundance, which could be especially useful in highlighting areas of the tick's distribution where preventive measures should be prioritised.","PeriodicalId":56260,"journal":{"name":"Geospatial Health","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46663833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1