scholarly journals Spatial Distribution of Dengue in Honduras during 2016-2019 Using Geographic Information Systems (GIS) – Implications During Epidemic for Public Health and Travel Medicine

2019 ◽  
Author(s):  
Lysien I. Zambrano ◽  
Edith Rodriguez ◽  
Iván Alfonso Espinoza-Salvado ◽  
Itzel Carolina Fuentes-Barahona ◽  
Tales Lyra de Oliveira ◽  
...  
Keyword(s):  
Public Health ◽  
Information Systems ◽  
Incidence Rate ◽  
Geographical Information Systems ◽  
Travel Medicine ◽  
Epidemiological Data ◽  
Incidence Rates ◽  
Geographical Information ◽  
The North ◽  
Disease Characteristics

Background: After serious epidemics of chikungunya (CHIKV) and Zika (ZIKV) in the Americas, dengue (DENV) have reemerged in most countries. We analyzed the incidence, incidence rates, and evolution of DENV cases in Honduras from 2015-2018 and the ongoing 2019 epidemic. Methods: Using epidemiological weeks (EW) surveillance data on the DENV in Honduras, we estimated incidence rates (cases/100,000 population), and developed maps at national, departmental, and municipal levels. Results: From 1 January 2016 to 21 July 2019, a total of 109,557 cases of DENV were reported, 28,603 in 2019, for an incidence rate of 312.32 cases/100,000 pop this year; 0.13% laboratory-confirmed. The highest peak was reached on the EW 28°, 2019 (5,299 cases; 57.89 cases/100,000 pop). The department with the highest number of cases and incidence rate was Cortes (8,404 cases, 479.68 cases/100,000 pop in 2019). Discussion: The pattern and evolution of DENV epidemic in 2019 in Honduras has been similar to that which occurred for in 2015. As previously reported, this epidemic involved the north and central areas of the country predominantly, reaching municipality incidences there >1,000 cases/100,000 pop (1%). Studies using geographical information systems linked with clinical disease characteristics are necessary to attain accurate epidemiological data for public health systems. Such information is also useful for assessment of risk for travelers who visit specific areas in a destination country.

scholarly journals Spatial Distribution of Zika in Honduras during 2016–2017 Using Geographic Information Systems (GIS)—Implications in Public Health and Travel Medicine

2019 ◽  
Author(s):  
Lysien I. Zambrano ◽  
Walter O. Vasquez-Bonilla ◽  
Itzel Carolina Fuentes-Barahona ◽  
José Cláudio da Silva ◽  
Jorge Alberto Valle-Reconco ◽  
...  
Keyword(s):  
Public Health ◽  
Information Systems ◽  
Incidence Rate ◽  
Geographical Information Systems ◽  
Travel Medicine ◽  
Epidemiological Data ◽  
Incidence Rates ◽  
Geographical Information ◽  
Zikv Infection ◽  
Disease Characteristics

Background: Zika virus (ZIKV) infection has significantly affected Latin America in 2015–2017. Most studies have been reported from Brazil and Colombia, and only a few from Central America. For these reasons we analyzed the incidence, incidence rates and evolution of cases in Honduras from 2016–2017. Methods: Using epidemiological weeks (EW) surveillance data on the ZIKV epidemics in Honduras, we estimated incidence rates (cases/100,000 population), and developed maps at national, departmental and municipal levels. Results: From 1 January 2016 to 31 December 2017, a total of 32,607 cases of ZIKV were reported (98.5% in 2016 for an incidence rate of 36.85 cases/100,000 pop; 1% confirmed by RT-PCR). The highest peak was reached on the EW 6°, 2016 (2,559 cases; 29.34 cases/100,000 pop). The department with the highest number of cases and incidence rate was Cortés (13,128 cases, 791.08 cases/100,000 pop in 2016). Discussion: The pattern and evolution of ZIKV infection in Honduras has been similar to that which occurred for chikungunya in 2015. As previously reported, infection with chikungunya involved predominantly the central and capital area of the country, reaching incidences there >750 cases/100,000 pop.  Studies using geographical information systems linked with clinical disease characteristics are necessary to attain accurate epidemiological data for public health systems. Such information is also useful for assessment of risk for travelers who visit specific areas in a destination country.

scholarly journals Spatial Distribution of COVID-19 in Honduras at the Early Phase of the Pandemic Using Geographic Information Systems (GIS)

2020 ◽  
Author(s):  
Lysien I. Zambrano ◽  
Manuel Antonio Sierra-Santos ◽  
Homer Mauricio Mejía-Santos ◽  
Elsa Yolanda Palou ◽  
Fausto Muñoz-Lara ◽  
...  
Keyword(s):  
Information Systems ◽  
Incidence Rate ◽  
Urban Areas ◽  
Geographical Information Systems ◽  
Epidemiological Data ◽  
Incidence Rates ◽  
Capital City ◽  
Geographical Information ◽  
Disease Characteristics ◽  
San Pedro

The epidemic of Coronavirus Disease 2019 (COVID-19) have affected all the regions of the world, nevertheless, in some countries there is a lack of studies on its main clinical and epidemiological features. We analyzed the incidence, incidence rates, and evolution of COVID-19 cases in Honduras from February 18-April 24, 2020.Methods: Using daily epidemiological data from surveillance about COVID-19 in Honduras, we calculated the rates of incidence (cases/100,000 population), and developed at national, departmental, and municipal levels GIS-based maps.Results: February 18 - April 24, 2020, a sum of 3,169 suspected COVID-19 cases have been assessed by RT-PCR, 533 (16.8%) of them were positive, for an incidence rate of 5.73 cases/100,000 pop. The highest peak was reached on March 31 (48 cases). The department with the highest number of cases and incidence rate was Cortes (383 cases, 71.9% of the total, 21.45 cases/100,000 pop). Discussion: The pattern and evolution of COVID-19 epidemic in Honduras has been particularly focused in the major urban areas, San Pedro Sula and Tegucigalpa, the capital city. Studies using geographical information systems linked with clinical disease characteristics are necessary to attain accurate epidemiological data for public health systems. Such information is also useful for assessment of the evolution of the pandemic and monitoring interventions.

scholarly journals Spatial Distribution of Zika in Honduras during 2016–2017 Using Geographic Information Systems (GIS)—Implications in Public Health and Travel Medicine

2018 ◽  
Author(s):  
Lysien I. Zambrano ◽  
Walter O. Vasquez-Bonilla ◽  
Itzel Carolina Fuentes-Barahona ◽  
José Cláudio da Silva ◽  
Jorge Alberto Valle-Reconco ◽  
...  
Keyword(s):  
Information Systems ◽  
Incidence Rate ◽  
Central America ◽  
Geographical Information Systems ◽  
Travel Medicine ◽  
Incidence Rates ◽  
Geographical Information ◽  
Clinical Aspects ◽  
Rt Pcr ◽  
Zikv Infection

Background: Zika virus (ZIKV) infection has affected significantly Latin America in 2015–2017. However, most studies have been reported from Brazil and Colombia, but few of them in Central America. For these reasons we analyzed the incidence, incidence rates and evolution of cases of Honduras during 2016–2017. Methods: Using epidemiological weeks (EW) surveillance data on the ZIKV epidemics in Honduras, we estimated incidence rates (cases/100,000 population), and developed maps at national, departments and municipal levels. Results: From January 1, 2016 to December 31, 2017, a total of 32,607 cases of Zika were reported (98.5% in 2016 for an incidence rate of 36.85 cases/100,000 pop; 1% confirmed by RT-PCR). The highest peak was reached on the EW 6°, 2016 (2,559 cases; 29.34 cases/100,000 pop). The department with the highest number of cases and incidence rate was Cortés (13,128 cases, 791.08 cases/100,000 pop in 2016). Discussion: Pattern and evolution of Zika in Honduras has been like those that occurred for chikungunya in 2015, that we analyzed and previously reported, affecting predominantly the central and capital area of the country, reaching also high incidences there >750 cases/100,000 pop. Studies using geographical information systems, to map its epidemiology, as well on the clinical aspects linked to, are necessary in this country, as well for the assessment of risk for travelers who visit specific areas in a destination country.

scholarly journals Mapping the residual incidence of taeniasis and cysticercosis in Colombia, 2009–2013, using geographical information systems: Implications for public health and travel medicine

2018 ◽  
Vol 22 ◽  
pp. 51-57 ◽  
Author(s):  
Alfonso J. Rodríguez-Morales ◽  
María Camila Yepes-Echeverri ◽  
Wilmer F. Acevedo-Mendoza ◽  
Hamilton A. Marín-Rincón ◽  
Carlos Culquichicón ◽  
...  
Keyword(s):  
Public Health ◽  
Information Systems ◽  
Geographical Information Systems ◽  
Travel Medicine ◽  
Geographical Information

scholarly journals Numerical Modeling for Gully Erosion in the North of Algeria based on Data of Remote Sensing and Geographic Information Systems

2017 ◽  
Vol 25 (1) ◽  
pp. 37-63
Author(s):  
mohammad abbas daoudi mohammad abbas daoudi
Keyword(s):  
Remote Sensing ◽  
Multivariate Analysis ◽  
Information Systems ◽  
Geographical Information Systems ◽  
Univariate Analysis ◽  
Probabilistic Approach ◽  
Geographical Information ◽  
Rainfall Erosivity ◽  
Erosion Risk ◽  
The North

The problems of soil erosion are largely widespread in the countries of the Mediterranean basin. The process of gullying is a complex phenomenon with disastrous consequences. It particularly affects northern Algeria, decreasing the potentialities of the water tanks, reducing cultivable lands availability and degrading infrastructures. Therefore, this work studies the analysis and the prediction of gullying erosion by using a probabilistic approach based on multisource data. The objective of this search is to answer to the three following questions: i) which factors support the process of gullying ? ii) how does a process of gullying develop? iii) which are the zones favourable to gullying ? Works are undertaken on the catchment area of the Isser River. We focused the applications on the upstream part of the basin. In this research, we study a North-South transect which corresponds to three under-basins slopes. The choice of these tests areas answers to four criteria defined in our method: the representativeness, the homogeneity, the availability of former data and, finally, the accessibility. After the completion of the multisource data, modelling and multivariate analysis for the prediction of gullying. The combination factor-process by the univariate analysis allows on the one hand, to highlight the variables controlling the process of gullying, and on the other hand, to analyse the variables on a hierarchical basis and to know their degree of influence. The multivariate analysis, by the logistic regression model (LRM), enabled us to select the significant variables and to locate the most favourable zones for the process of gullying. The validation of the models is evaluated using the curves of lift spin. The results suggest that the factors highlighted by the model to be most influential on gullying erosion are: the lithology, the slope, the morphopedology, the rainfall erosivity and the land cover. The synthesis of this approach is illustrated in the form of charts of gullying erosion risk maps in four classes of probability. The assessment of the study shows the fundamental interest of this approach using geographical information systems and remote sensing, in particular for the watersheds of the southern Mediterranean, with the possibility of extending this methodology to other regions.

scholarly journals Understanding the use of geographical information systems (GIS) in health informatics research: A review

2017 ◽  
Vol 24 (2) ◽  
pp. 228 ◽  
Author(s):  
Nicola Shaw ◽  
Suzanne McGuire
Keyword(s):  
Public Health ◽  
Information Systems ◽  
Medical Informatics ◽  
Health Research ◽  
Health Informatics ◽  
Geographical Information Systems ◽  
Geographical Information ◽  
Public Health Informatics ◽  
Quality Of Data ◽  
Gis Technologies

Background: The purpose of this literature review is to understand geographical information systems (GIS) and how they can be applied to public health informatics, medical informatics, and epidemiology.Method: Relevant papers that reflected the use of geographical information systems (GIS) in health research were identified from four academic databases: Academic Search Complete, BioMed Central, PubMed Central, and Scholars Portal, as well as Google Scholar. The search strategy used was to identify articles with “geographic information systems”, “GIS”, “public health”, “medical informatics”, “epidemiology”, and “health geography” as main subject headings or text words in titles and abstracts. Papers published between 1997 and 2014 were considered and a total of 39 articles were included to inform the authors on the use of GIS technologies in health informatics research.Results: The main applications of GIS in health informatics and epidemiology include disease surveillance, health risk analysis, health access and planning, and community health profiling. GIS technologies can significantly improve quality and efficiency in health research as substantial connections can be made between a population’s health and their geographical location.Conclusions: Gains in health informatics can be made when GIS are applied through research, however, improvements need to occur in the quantity and quality of data input for these systems to ensure better geographical health maps are used so that proper conclusions between public health and environmental factors may be made.

scholarly journals Geo-epidemiological reporting and spatial clustering of the 10 most prevalent cancers in Iran

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Ebrahim Babaee ◽  
Gholamreza Roshandel ◽  
Meysam Olfatifar ◽  
Arash Tehrani-Banihashemi ◽  
Arezou Ashaari ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Geographical Information Systems ◽  
Spatial Clustering ◽  
Incidence Rates ◽  
Geographical Information ◽  
Breast Cancers ◽  
Contributing Factors ◽  
Index Method ◽  
The North ◽  
Global And Local

Cancer is a problem of both global and local concern. We determined the geo-epidemiological and spatial distribution of the 10 most common cancers in Iran. We used the data of the Iranian Cancer Registry for the year 2014 analysing the prevalence of 112,131 registered cancer cases with the aim of detecting potential geographical underlying causes. The geographic distribution of cancers is reported as standardized incidence rates at the provincial level considering risk with respect to sex and age. A geographical information systems (GIS) approach based on Anselin Local Moran’s index method was used to map clusters and spatial autocorrelation patterns. The mean age of the patients was 55.6 (±17.8) and 61.7 (±18.2) for females and males, respectively, in the database which showed 46.1% (n=51,665) of all cases to be female. Analysis of the spatial distribution of cancers showed significant differences among the different provinces. Stomach and breast cancers were the most prevalent cancers in men and females, respectively. The highest incidence rates of stomach cancer were found in Ardabil and Zanjan provinces, with 48.38 and 48.08 per 100,000 population, respectively, while Tehran and Yazd provinces had the highest incidences of breast cancer, 51.0 and 47.5 per 100,000 population, respectively. Strong clustering patterns for stomach and breast cancers were identified in the north-western provinces and in Semnan Province, respectively. These patterns indicate a diversity of geo-epidemiological contributing factors to cancer incidence in Iran.

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