Littoral Environnement et Sociétés (LIENSs), UMR 7266, CNRS-Université de La Rochelle, 2 Rue Olympe de Gouges, 17042, La Rochelle Cedex 01, France. tamas.malkocs@gmail.com.
Pál Juhász-Nagy Doctoral School of Biology and Environmental Sciences, University of Debrecen, Egyetem tér 1, 4032, Debrecen, Hungary. tamas.malkocs@gmail.com.
Institute of Biology and Ecology, University of Debrecen, Egyetem tér 1, 4032, Debrecen, Hungary. tamas.malkocs@gmail.com.
Institute of Aquatic Ecology, Centre for Ecological Research, 4026, Debrecen, Hungary. tamas.malkocs@gmail.com.
Ctedra Diversidad Animal I and Laboratorio de Virologa y Gentica Molecular; Facultad de Ciencias Naturales y Ciencias de la Salud; Universidad Nacional de la Patagonia San Juan Bosco; 9 de Julio y Belgrano s/n; 9100 Trelew; Chubut; ARGENTINA. jgloreley@gmail.com.
Museo Argentino de Ciencias Naturales Bernardino Rivadavia; Av. ngel Gallardo 470; C1405DJR Ciudad Autnoma de Buenos Aires; ARGENTINA. gpastorino@macn.gov.ar.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: gsmedley@iastate.edu.
Department of Zoology, University of São Paulo, Rua do Matão, Travessa 14, n. 101, 05508-090 São Paulo, SP, Brazil. Electronic address: jorgeaudino@ib.usp.br.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: courtney.grula@ndsu.edu.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: aporathk@umn.edu.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: apairett@iastate.edu.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: aalejand@whittier.edu.
Faculty of Science, Health, Education, and Engineering, University of the Sunshine Coast, Maroochydore DC, Queensland 4558, Australia. Electronic address: felicity.masters@research.usc.edu.au.
Faculty of Science, Health, Education, and Engineering, University of the Sunshine Coast, Maroochydore DC, Queensland 4558, Australia. Electronic address: pduncan@usc.edu.au.
Department of Invertebrate Zoology, National Museum of National History, Smithsonian Institution, 10th and Constitution Ave NW, Washington, DC 20560, USA. Electronic address: StrongE@si.edu.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: serb@iastate.edu.
The rising concentration of carbon in the atmosphere leads to increasing climate change, and it has become a worldwide consensus to reduce emissions. Considering the degree of economic development and...
The local indicators of spatial association (LISA) are important measures for spatial autocorrelation analysis. However, there is an inadvertent fault in the mathematical processes of deriving LISA in...
Bitcoin mining is not only the fundamental process to maintain Bitcoin network, but also the key linkage between the virtual cryptocurrency and the physical world. A variety of issues associated with ...
There are many public health situations within the United States that require fine geographical scale data to effectively inform response and intervention strategies. However, a condition for accessin...
Few researchers have studied the national prevalence of Keshan disease (KD) in China using spatial epidemiological methods. This study aimed to provide geographically precise and visualized evidence f...
We surveyed and analyzed 237,000 people in 280 out of 328 KD-endemic counties (85.4%) in mainland China using a design of key investigation based on case-searching in 2015-2016. ArcGIS version 9.0 was...
Global autocorrelation analysis showed that global clustering of latent Keshan disease (LKD) prevalence was noted (Moran's...
This spatial epidemiological study revealed that LKD prevention and control should be strengthened in areas with high values of clustering. Our findings provided spatially, geographically precise and ...
Alcohol consumption during pregnancy is a known contributor to teratogen and causes a range of effects on pregnancy and birth outcomes. This study aimed to investigate the spatial variation and determ...
A secondary data analysis was conducted using the 2016 Ethiopian Demographic and Health Survey data. A total of 1,135 pregnant women were included in the analysis. ArcGIS version 10.7 software was use...
The result showed that the prevalence of alcohol consumption during pregnancy was 22.49% (with a 95% CI: 18.18 to 26.17). The spatial analysis showed that the spatial distribution of alcohol consumpti...
Alcohol consumption during pregnancy in Ethiopia was high. The spatial distribution of alcohol consumption was significantly varied across the country. Therefore, public health interventions targeting...
Institutional delivery is crucial to reduce maternal and neonatal mortality as well as serious morbidities. However, in Ethiopia, home delivery (attended by an unskilled birth attendant) after antenat...
A secondary data analysis was conducted using the 2019 mini Ethiopian demographic and health survey. A total of 2,923 women who had ANC visits were included. Spatial analysis was done by using GIS 10....
Home delivery after ANC visit was spatially clustered in Ethiopia(Moran's index = 0.52, p-value <0.01). The primary clusters were detected in Oromia and SNNP region (LLR = 37.48, p < 0.001 and RR = 2....
Home delivery after ANC visit was spatially clustered in Ethiopia. Factors like maternal education, wealth index, number of ANC visits, residency and region were significantly associated with home del...
Despite the proven benefit of early initiation of first antenatal care visits as a means to achieve good maternal and neonatal health outcomes through early detection and prevention of risks during pr...
To determine the spatial distribution and predictors of late initiation of first antenatal care visits among reproductive-age women in Ethiopia....
The 2019 Ethiopian Mini Demographic and Health Survey (EMDHS) data were used. A total weighted sample of 2,935 reproductive-age women who gave birth in the five years preceding the survey and who had ...
The prevalence of late initiation of first ANC visits in Ethiopia was 62.6%. The spatial analysis showed that the late initiation of first ANC visits significantly varied across regions of Ethiopia. T...
A clustered pattern of areas with high rates of late initiation of the first ANC visit was detected in Ethiopia. Public health intervention targeting the identified hotspot areas, and women's empowerm...
Antimicrobial resistance (AMR) is a global major health concern. Spatial analysis is considered an invaluable method in health studies. Therefore, we explored the usage of spatial analysis in Geograph...