scholarly journals The First exploratory spatial distribution analysis of tuberculosis and associated factors in Tonala, Mexico

2020 ◽  
Vol 14 (02) ◽  
pp. 207-213
Author(s):  
Alejandro Escobar-Gutierrez ◽  
Armando Martinez-Guarneros ◽  
Gustavo Mora-Aguilera ◽  
Carlos Arturo Vazquez-Chacon ◽  
Gerardo Acevedo-Sanchez ◽  
...  

Introduction: The US-Mexico region is at high risk of elevated tuberculosis (TB) incidence due to mobility and migration. Knowledge of how socio-demographic factors varies geographically, provides clues to understanding the determinants of tuberculosis and may provide guidance for regional prevention and control strategies to improve public health in Mexico. The aim of the present study was to describe the epidemiologic characteristics and spatial patterns of the incidence of tuberculosis in Tonala, Jalisco (Mexico) from 2013-2015. Methodology: The Surveillance System Database from the Health Department, complemented by information from the National Institute of Statistics and Geography, was used to obtain data for a spatial-temporal analysis of TB cases. For the geographical analysis map creation and geoinformation storing, ArcGIS software was used. Results: This study sought to characterize problem areas and jurisdictional locations of TB via a spatial approach based on analyses of case distributions and individual patient variables. The study found that tuberculosis cases were dispersed throughout Tonala County and were mainly concentrated on the Guadalajara city border. The TB cases were mainly individuals between 31 and 45 years old. Most of the cases reported during the observation period were male patients, and most cases primarily had lung involvement; however, there were quite a few cases with lymph node and intestinal disease. Conclusion: Our findings show that TB cases are essentially located in areas close to the city of Guadalajara and that most TB cases were pulmonary cases spread throughout the whole jurisdiction.

2010 ◽  
Vol 15 (21) ◽  
Author(s):  
E Jelastopulu ◽  
G Merekoulias ◽  
E C Alexopoulos

This study investigates the completeness of the reporting of infectious diseases in the prefecture of Achaia, western Greece in the period of 1999-2004. We collected hospital records relating to infectious diseases retrospectively from three major hospitals in the region and compared the records to corresponding records at the prefectural public health department (PHD). After record-linkage and cross-validation a total of 1,143 notifiable cases were identified in the three hospitals, of which 707 were reported to the PHD of Achaia, resulting in an observed underreporting of infectious diseases of 38% during the study period. At prefecture level, a further 259 cases were notified by other sources, mainly by the fourth hospital of the region not included in our study, resulting in a total of 966 cases reported to the PHD; 73% of these were reported from the three hospitals included in our study, 27% were notified by the fourth hospital not included in our study and less then 0,3% by physicians working in a private practice or health centre. Meningitis (51%), tuberculosis (12%) and salmonellosis (8%) were the most frequently reported diseases followed by hospitalised cases of varicella (7%), brucellosis (6%) and hepatitis (6%). During the study period, clustering of specific diseases like brucellosis, meningitis, mumps, and salmonellosis was observed, indicating possible outbreaks. Our results show that notification system needs to be improved, in order to ensure proper health resources allocation and implementation of focused prevention and control strategies.


2021 ◽  
Author(s):  
Tesfaye Solomon ◽  
Mamo Nigatu ◽  
Birhanu Areda

Abstract Background: Measles is a leading vaccine-preventable childhood disease, which has been designated for elimination. Despite the success of measles control, measles is still responsible for 145,700 deaths worldwide each year, with many of the outbreaks in developing countries including Ethiopia. We analyzed to characterize the epidemiology of measles and recommend better prevention and control strategies in West Arsi Zone, Ethiopia. Methods: Data from 2011–2015 from the Public Health Emergency Management Unit of the West Arsi Zonal Health Department database were obtained using a semi-standard checklist. We analyzed and described the data by person, place, and time.Results: We identified 1735 cases of measles between 2011- 2015. The annual average measles incidence rate during 2011-2014 was 3.4/100,000 while the incidence rate in 2015 was 14/100,000. During 2011-2015, most of the cases occurred in children age less than 15 years old (87%), and 33 % were under five. Measles cases were reported every month, and March had the highest number of cases (24%). The districts with the highest incidence rates of measles had high routine measles vaccination coverage. The proportion of districts with an annual detection rate for non-measles febrile rash was 67% both in 2014 and 2015 which was below the national target (>80%).Conclusions: Measles outbreaks in children in 2015 in an area with high routine vaccination coverage were identified. We recommended improving vaccine management and supplementary vaccination for children less than 15 years. It needs further study to identify contributing factors for measles outbreaks and evaluating the effectiveness of measles control and prevention strategies.


2021 ◽  
Vol 10 (3) ◽  
pp. 178
Author(s):  
Fabiola Denegri ◽  
Judith Ley-García

In developing countries, crime is a serious problem that affects the operation and viability of firms. Offenses such as vandalism, robbery, and theft raise the operating costs of firms and imposes on them indirect costs. The literature on spatial analysis of crime is vast; however, relatively little research has addressed business crime, especially in developing countries’ cities. Spatial and temporal analysis of crime concentration represents a basic input for the design and implementation of appropriate prevention and control strategies. This article explores the spatial concentration and stability of thefts committed against commercial establishments in the city of Mexicali, Mexico, from 2009 to 2011 using the Gini coefficient, Lorenz curve, and decile maps. Results revealed that thefts were highly concentrated in a small percentage of urban basic geostatistical areas. Moreover, a portion of these areas were classified as having the highest deciles of thefts (hot spots) and remained in this group throughout the period. In both cases, the relationship between crime and place was close to the 80/20 rule, or the Pareto principle.


2021 ◽  
Author(s):  
Tesfaye Solomon ◽  
Mamo Nigatu ◽  
Birhanu Areda

Abstract Background Measles is a leading vaccine-preventable childhood disease, which has been designated for elimination. Despite the success of measles control, measles is still responsible for 145,700 deaths worldwide each year, with many of the outbreaks in developing countries including Ethiopia. We analyzed to characterize the epidemiology of measles and recommend better prevention and control strategies in West Arsi Zone, Ethiopia. Methods Data from 2011–2015 from the Public Health Emergency and Management Unit of the West Arsi Zone Health Department database were obtained using a semi-standard checklist. We analyzed and described the data by person, place, and time. Results We identified 1735 cases of measles between 2011–2015. The annual average measles incidence rate during 2011–2014 was 3.4/100,000 while the incidence rate in 2015 was 14/100,000. During 2011–2015, most of the cases occurred in children age less than 15 years old (87%), and 33 % were under five. Measles cases were reported every month, and March had the highest number of cases (24%). The districts with the highest incidence rates of measles had high routine measles vaccination coverage’s. The proportion of districts with an annual detection rate for non-measles febrile rash was 67% both in 2014 and 2015 which was below the national target (> 80%). Conclusions Measles outbreaks in children in 2015 in an area with high routine vaccination coverage were identified. We recommended improving vaccine management and supplementary vaccination for children less than 15 years. It needs further study to identify contributing factors for measles outbreaks and evaluating the effectiveness of measles control and prevention strategies.


2019 ◽  
Vol 13 (01) ◽  
pp. 35-43
Author(s):  
Fudong Li ◽  
Fan He ◽  
Jimin Sun ◽  
Yujia Zhai ◽  
Jianmin Jiang ◽  
...  

Introduction: Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease first discovered in northeast and central China in 2009, and SFTS cases increased year by year in China. This study aimed to identify the spatial and temporal clusters of SFTS in Zhejiang Province, China. Methodology: We analyzed the surveillance data of SFTS in Zhejiang Province during 2011 - 2015. Descriptive statistics were used to analyze the general characteristics and overall trend of SFTS. Circular statistic method was utilized to identify the seasonality. Space–time scan analysis was performed to explore the high risk spatio-temporal clusters of SFTS cases at county level. Results: A total of 194 confirmed SFTS cases were reported in Zhejiang Province during 2011 - 2015. We found a significant increase in overall time trend since 2011. The seasonality was statistically significant (P < 0.001), with a mean date (95% CI) of 21st June (12th ~ 30th in June). Totally 21 (23%) counties reported the occurrence of SFTS, which gradually spread throughout Zhejiang. Three spatio-temporal clusters were detected, with one principle cluster (Daishan County, RR 234.48, June 2013 - November 2015) and two secondary clusters (6 counties, RR 30.73, April - October in 2015; Anji County, RR 373.26, May 2014). Conclusions: Our results suggested that SFTS has increased and spatially expanded over the past years, with a remarkable seasonality. Three spatio-temporal clusters were identified. These findings are important for the improvement of SFTS surveillance and control strategies.


2020 ◽  
Author(s):  
Daniel Poremski ◽  
Sandra Henrietta Subner ◽  
Grace Lam Fong Kin ◽  
Raveen Dev Ram Dev ◽  
Mok Yee Ming ◽  
...  

The Institute of Mental Health in Singapore continues to attempt to prevent the introduction of COVID-19, despite community transmission. Essential services are maintained and quarantine measures are currently unnecessary. To help similar organizations, strategies are listed along three themes: sustaining essential services, preventing infection, and managing human and consumable resources.


1989 ◽  
Vol 24 (3) ◽  
pp. 463-477
Author(s):  
Stephen G. Nutt

Abstract Based on discussions in workshop sessions, several recurring themes became evident with respect to the optimization and control of petroleum refinery wastewater treatment systems to achieve effective removal of toxic contaminants. It was apparent that statistical process control (SPC) techniques are finding more widespread use and have been found to be effective. However, the implementation of real-time process control strategies in petroleum refinery wastewater treatment systems is in its infancy. Considerable effort will need to be expended to demonstrate the practicality of on-line sensors, and the utility of automated process control in petroleum refinery wastewater treatment systems. This paper provides a summary of the discussions held at the workshop.


Author(s):  
Ivan Herreros

This chapter discusses basic concepts from control theory and machine learning to facilitate a formal understanding of animal learning and motor control. It first distinguishes between feedback and feed-forward control strategies, and later introduces the classification of machine learning applications into supervised, unsupervised, and reinforcement learning problems. Next, it links these concepts with their counterparts in the domain of the psychology of animal learning, highlighting the analogies between supervised learning and classical conditioning, reinforcement learning and operant conditioning, and between unsupervised and perceptual learning. Additionally, it interprets innate and acquired actions from the standpoint of feedback vs anticipatory and adaptive control. Finally, it argues how this framework of translating knowledge between formal and biological disciplines can serve us to not only structure and advance our understanding of brain function but also enrich engineering solutions at the level of robot learning and control with insights coming from biology.


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