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 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 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 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 Mapping Zika virus infection using geographical information systems in Tolima, Colombia, 2015-2016

F1000Research ◽  
2016 ◽  
Vol 5 ◽  
pp. 568 ◽  
Author(s):  
Alfonso J. Rodriguez-Morales ◽  
Maria Leonor Galindo-Marquez ◽  
Carlos Julian García-Loaiza ◽  
Juan Alejandro Sabogal-Roman ◽  
Santiago Marin-Loaiza ◽  
...  
Keyword(s):  
Information Systems ◽  
Zika Virus ◽  
Geographical Information Systems ◽  
Incidence Rates ◽  
Geographical Information ◽  
Zikv Infection ◽  
High Incidence ◽  
Gis Software ◽  
And Control ◽  
Case Data

Objective: Geographical information systems (GIS) have been extensively used for the development of epidemiological maps of tropical diseases, however not yet specifically for Zika virus (ZIKV) infection.Methods: Surveillance case data of the ongoing epidemics of ZIKV in the Tolima department, Colombia (2015-2016) were used to estimate cumulative incidence rates (cases/100,000 pop.) to develop the first maps in the department and its municipalities, including detail for the capital, Ibagué. The GIS software used was Kosmo Desktop 3.0RC1®. Two thematic maps were developed according to municipality and communes incidence rates.Results: Up to March 5, 2016, 4,094 cases of ZIKV were reported in Tolima, for cumulated rates of 289.9 cases/100,000 pop. (7.95% of the country). Burden of ZIKV infection has been concentrated in its east area, where municipalities have reported >500 cases/100,000 pop. These municipalities are bordered by two other departments, Cundinamarca (3,778 cases) and Huila (5,338 cases), which also have high incidences of ZIKV infection. Seven municipalities of Tolima ranged from 250-499.99 cases/100,000 pop., of this group five border with high incidence municipalities (>250), including the capital, where almost half of the reported cases of ZIKV in Tolima are concentrated.Conclusions: Use of GIS-based epidemiological maps helps to  guide decisions for the prevention and control of diseases that represent significant issues in the region and the country, but also in emerging conditions such as ZIKV.

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

PROBLEMATIC ISSUES OF THE GEOGRAPHIC INFORMATION SYSTEMS USE IN SOCIO-HYGIENIC MONITORING AND RISK-BASED SUPERVISION

2019 ◽  
pp. 31-36 ◽  
Author(s):  
Е.М. Studenikina ◽  
Yu.I. Stepkin ◽  
O.V. Klepikov ◽  
I.V. Kolnet ◽  
L.V. Popova
Keyword(s):  
Information Systems ◽  
Technology Implementation ◽  
Geographical Information Systems ◽  
Geographical Information ◽  
Electronic Library ◽  
Information Portal ◽  
Software Products ◽  
Stage Of Development ◽  
Software Product ◽  
Information Systems Use

The paper considers the problematic issues of the geographical information systems (GIS) use in the sociohygienic monitoring (SHM). We analyzed scientific and practical publications on this subject that are freely available on the largest Russian information portal of scientific electronic library eLIBRARY.RU during 2014- 2018, which allowed us to formulate the principles of organization and requirements for effective operation of geographic and information systems in the socio-hygienic monitoring. An analysis of the implementation of these principles at the present stage of development for the socio-hygienic monitoring system is presented, the results of which were used in formulating priority tasks in the area of geographic and information technology implementation into socio-hygienic monitoring and risk-based planning of control and supervisory measures: to determine the necessary level of detail and an information list depicted on electronic maps for the implementation of risk-based control planning; to provide organizational and regulatory and methodological support for the hierarchical principle of GIS within Rospotrebnadzor operating on a single software product of domestic developers for organizations and institutions; to work out the need to combine GIS with similar systems of other departments involved in the data collection of social and hygienic monitoring (Rosstat, Roshydromet, Rosprirodnadzor, Ministry of Health, etc.) to enable automated data export and import; to solve staffing issues to ensure customization and subsequent GIS operation; to provide budget funding for the purchase of licensed software products for GIS in SHM, preferably of Russian developers.

scholarly journals COVID-19 among the inhabitants of the slums in the city of Buenos Aires: a population-based study

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e044592
Author(s):  
Alejandro Macchia ◽  
Daniel Ferrante ◽  
Gabriel Battistella ◽  
Javier Mariani ◽  
Fernán González Bernaldo de Quirós
Keyword(s):  
Incidence Rate ◽  
Buenos Aires ◽  
Reporting System ◽  
Incidence Rates ◽  
Health Reporting ◽  
Rt Pcr ◽  
Slum Dwellers ◽  
Integrated Health ◽  
The Impact ◽  
The City

ObjectiveTo summarise the unfolding of the COVID-19 epidemic among slum dwellers and different social strata in the city of Buenos Aires during the first 20 weeks after the first reported case.DesignObservational study using a time-series analysis. Natural experiment in a big city.SettingPopulation of the city of Buenos Aires and the integrated health reporting system records of positive RT-PCR for COVID-19 tests.ParticipantsRecords from the Argentine Integrated Health Reporting System for all persons with suspected and RT-PCR-confirmed diagnosis of COVID-19 between 31 January and 14 July 2020.OutcomesTo estimate the effects of living in a slum on the standardised incidence rate of COVID-19, corrected Poisson regression models were used. Additionally, the impact of socioeconomic status was performed using an ecological analysis at the community level.ResultsA total of 114 052 people were tested for symptoms related with COVID-19. Of these, 39 039 (34.2%) were RT-PCR positive. The incidence rates for COVID-19 towards the end of the 20th week were 160 (155 to 165) per 100 000 people among the inhabitants who did not reside in the slums (n=2 841 997) and 708 (674 to 642) among slums dwellers (n=233 749). Compared with the better-off socioeconomic quintile (1.00), there was a linear gradient on incidence rates: 1.36 (1.25 to 1.46), 1.61 (1.49 to 1.74), 1.86 (1.72 to 2.01), 2.94 (2.74 to 3.16) from Q2 to Q5, respectively. Slum dwellers were associated with an incidence rate of 14.3 (13.4 to 15.4).ConclusionsThe distribution of the epidemic is socially conditioned. Slum dwellers are at a much higher risk than the rest of the community. Slum dwellers should not be considered just another risk category but an entirely different reality that requires policies tailored to their needs.

Sign in / Sign up

Export Citation Format

Share Document