Análisis espacial en epidemiología: revisión de métodos

Valbuena‐Garcia, Ana María; Rodríguez-Villamizar, Laura Andrea

doi:10.18273/revsal.v50n4-2018009

Cited by 12 publications

(13 citation statements)

References 21 publications

(31 reference statements)

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“…Sin embargo, expone que no siempre se cuenta con suficientes datos actualizados y de calidad que impulsen regularmente la generación de documentos que reflejen la realidad sobre su situación de salud del país (28) . Esto se debe a que, el análisis espacial en epidemiología es quizá poco utilizado en el entendimiento de la dinámica de transmisión de enfermedades vectoriales como el dengue, un estudio realizado en Colombia indica que la elaboración de mapas ayuda a visibilizar los eventos en salud y a mejorar las perspectivas que se tienen sobre ella, y propone que los mapas coropléticos también sirven para comparar eventos y generar hipótesis en torno al comportamiento observado (29) .…”

Section: Discussionunclassified

Spatial stratification of the entomological risk for dengue transmission in neighborhoods of Asunción - Paraguay

Burgos

Álvarez

Rúa‐Uribe

2021

Rev. salud publica Parag

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Introduction: Dengue is the main mosquito-borne viral disease. Every year, more than 350 million cases are reported worldwide and nearly 50% of the population is at risk of acquiring it. Paraguay is no stranger to this problem. In 2019, 11,811 cases were recorded, and Asunción was one of the most affected cities in the country. The disease is transmitted by the bite of Aedes aegypti, a mosquito that oviposits in containers inside homes, this fact has made it possible to design entomological indicators to calculate the risk of transmission. The availability of entomological information related to the spatial distribution of dengue makes it possible to build risk or heat maps, which is very useful information for the authorities and the stakeholders to design prevention and control strategies.Objective: To stratify the entomological risk for dengue transmission in the neighborhoods of Asunción, Paraguay. Methods:Retrospective observational and analytical study, employing the Survey of Rapid Aedes Index (LIRA), periodically estimated in Asunción neighborhoods between 2014 and 2018, to stratify, according to p75 and p25 percentiles, high-and low-risk neighborhoods, respectively.Results: 14 high entomological risk neighborhoods, 17 low risk neighborhoods, 33 medium risk neighborhoods and 3 neighborhoods with scores for both groups were identified. Conclusion:The spatial analysis of LIRA allows stratification of the risk of dengue transmission, which provides valuable information for targeting surveillance and control of the disease.

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Section: Discussionunclassified

Spatial stratification of the entomological risk for dengue transmission in neighborhoods of Asunción - Paraguay

Burgos

Álvarez

Rúa‐Uribe

2021

Rev. salud publica Parag

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“…This number is above what several countries in America and other continents have reported [24]. However, several COVID-19 studies on Amazonas focus on the characterization of individuals at a particular time [25]. The analysis and understanding of the temporal variations of COVID-19 mortality and lethality can lead to opportunely and satisfactory interventions for the prevention of more harmful consequences [26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Deciphering Multifactorial Correlations of COVID-19 Incidence and Mortality in the Brazilian Amazon Basin

Daboin

Bezerra

Morais

et al. 2022

IJERPH

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Amazonas suffered greatly during the COVID-19 pandemic. The mortality and fatality rates soared and scarcity of oxygen and healthcare supplies led the health system and funerary services to collapse. Thus, we analyzed the trends of incidence, mortality, and lethality indicators of COVID-19 and the dynamics of their main determinants in the state of Amazonas from March 2020 to June 2021. This is a time-series ecological study. We calculated the lethality, mortality, and incidence rates with official and public data from the Health Department. We used the Prais–Winsten regression and trends were classified as stationary, increasing, or decreasing. The effective reproduction number (Rt) was also estimated. Differences were considered significant when p < 0.05. We extracted 396,772 cases of and 13,420 deaths from COVID-19; 66% of deaths were in people aged over 60; 57% were men. Cardiovascular diseases were the most common comorbidity (28.84%), followed by diabetes (25.35%). Rural areas reported 53% of the total cases and 31% of the total deaths. The impact of COVID-19 in the Amazon is not limited to the direct effects of the pandemic itself; it may present characteristics of a syndemic due to the interaction of COVID-19 with pre-existing illnesses, endemic diseases, and social vulnerabilities.

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“…Even though screening for metabolic disorders has been available through public health care for some years in Ecuador, there are no studies on rates and distribution of NBS disorders in the country, neither in public health records or medical literature. Geospatial studies are wide use in epidemiological studies; their purpose is to use tools that help analyze the spatial variability of diseases and health determinants in a geographic area [15]. This study described the spatial distribution of individuals with an inborn metabolic disease by using data from the Newborn Screening Program in Ecuador between 2012 and 2019.…”

Section: Introductionmentioning

confidence: 99%

Spatial Distribution of Congenital Disorders Diagnosed by the Newborn Screening Program in Ecuador

García-Díaz

Cruz

Porras

et al. 2021

J. inborn errors metab. screen.

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The newborn screening program in Ecuador has been operating since 2011 under the responsibility of the Ministry of Health. This program is centralized and diagnoses four diseases: congenital hypothyroidism, phenylketonuria, galactosemia, and congenital adrenal hyperplasia. This study aimed to assess the geographical distribution of newborn screening cases in Ecuador. Spatial analysis techniques were applied using the records of the National Newborn Screening Program with a congenital disease confirmed from January 2012 to December 2019. Morbidity rates per 100,000 were calculated by newborn screening disease detected and the province of birth, posteriorly, the map of its distribution was graphed and assessed using the QGIS 3.12 software. In total, 393 cases born confirmed between 2012 and 2019 were registered. The distribution of every disease tends to be different in all provinces in Ecuador; the spatial variation was significant and relative rates showed a higher incidence in some eastern provinces. In conclusion, we found a different distribution and rates of newborn screening disorders in Ecuador. The high incidence of congenital hypothyroidism, phenylketonuria, galactosemia, and congenital adrenal hyperplasia in some areas should be investigated, due could be related to ethnic, genetic, and cultural aspects of the population.

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Análisis espacial en epidemiología: revisión de métodos

Cited by 12 publications

References 21 publications

Spatial stratification of the entomological risk for dengue transmission in neighborhoods of Asunción - Paraguay

Spatial stratification of the entomological risk for dengue transmission in neighborhoods of Asunción - Paraguay

Deciphering Multifactorial Correlations of COVID-19 Incidence and Mortality in the Brazilian Amazon Basin

Spatial Distribution of Congenital Disorders Diagnosed by the Newborn Screening Program in Ecuador

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