scholarly journals Development of IOT Device for Sensing Weather and Environmental Pollutants

Author(s):  
T. E. Babalola ◽  
A. D. Babalola ◽  
M. S. Olokun

Pollutants emitted into the atmosphere, such as ozone, which raises temperature, contributes to climate change. This may have inverse effect on the local air quality. However, other Particulate Matter (PM) components can heat or cool the temperature. Weather and environmental pollution can cause headaches, heart disease, respiratory problems, acid rain, fever, and other symptoms that are harmful to both people and the environment. This research center on development of smart sensors to monitor our environment's exposure to weather and environmental contaminants. This was made possible by developing an interface between data collection and monitoring equipment that interfaced with a website and analysis software. The online portal records and analyzes the measured data from the monitoring device in accordance with the WHO (World Health Organization) standard. It also compares the measured data from various locations. The main microcontroller in this work is an Arduino UNO which helps in data collection; and the CoolTerm application which helps exchange data with hardware connected to serial ports with the microcontroller. The system monitors environmental changes such as temperature and precipitation. The data is displayed as graphical statistics on the web site's design in the form of web portal information. Offices on the Federal Polytechnic Ile Oluji campus, in addition to the production powerhouse, are used to test the equipment. Each dataset was generated in three minutes and compared to the WHO standard. People who live near generators, according to the findings, face a greater risk to their health.

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 758-762
Author(s):  
Amit Biswas ◽  
KunalChandankhede

Wuhan originated Covid-19 disease is caused by SARC-COV 2 virus. It is a contagious disease it spread all over the world. World health organization declared a global pandemic disease. In Covid-19 immunity plays an important role. In old age people or having other co-morbid conditions the mortality rate is more. Ayurveda has a big role in improved immunity or to intact immunity. The principle of Ayurveda is to keep individual swastha (diseases free). To maintain individual disease-free Ritucharya is one of the important subjects of Ayurveda. Aimed of study is to find out Ritucharya literature from the Ayurveda and modern research specifically Varsha and Sharad ritu. Ritucharya contains dietary regimen, living modification, common medicine, and contraindicated things those changing according to environmental change. Upcoming season in India is Varsha and Sharad ritu. Environmental changes are huge in this season and it directly affected human beings. So this study reveals property of ritu, dietary regimen, living modification, common medicine and contraindicated things in upcoming varsha and sharad ritu.


2019 ◽  
Vol 4 (2) ◽  
pp. 238146831989454
Author(s):  
Joe Brew ◽  
Christophe Sauboin

Background. The World Health Organization is planning a pilot introduction of a new malaria vaccine in three sub-Saharan African countries. To inform considerations about including a new vaccine in the vaccination program of those and other countries, estimates from the scientific literature of the incremental costs of doing so are important. Methods. A systematic review of scientific studies reporting the costs of recent vaccine programs in sub-Saharan countries was performed. The focus was to obtain from each study an estimate of the cost per dose of vaccine administered excluding the acquisition cost of the vaccine and wastage. Studies published between 2000 and 2018 and indexed on PubMed could be included and results were standardized to 2015 US dollars (US$). Results. After successive screening of 2119 titles, and 941 abstracts, 58 studies with 80 data points (combinations of country, vaccine type, and vaccination approach–routine v. campaign) were retained. Most studies used the so-called ingredients approach as costing method combining field data collection with documented unit prices per cost item. The categorization of cost items and the extent of detailed reporting varied widely. Across the studies, the mean and median cost per dose administered was US$1.68 and US$0.88 with an interquartile range of US$0.54 to US$2.31. Routine vaccination was more costly than campaigns, with mean cost per dose of US$1.99 and US$0.88, respectively. Conclusion. Across the studies, there was huge variation in the cost per dose delivered, between and within countries, even in studies using consistent data collection tools and analysis methods, and including many health facilities. For planning purposes, the interquartile range of US$0.54 to US$2.31 may be a sufficiently precise estimate.


2018 ◽  
Vol 10 (2) ◽  
pp. 20-24
Author(s):  
Al Al Muhajirin ◽  
Armein Armein Sjuhary Rowi

According to World Health Organization (WHO) surveillance data it is stated that the incidence of nosocomial infections is quite high at 5% per year, 9 million people out of 190 million hospitalized patients. Occurrence of phlebitis becomes indicator of hospital minimum service quality with standard of incidence ≤1,5%. The purpose of the study was to analyze the relationship of nursecompliance in running SPO infusion with the incidence of phlebitis class 2, class 3 and Emegergency room at RSAU dr M. Hassan Toto Hospital Bogor. The research design used was analytic survey. Sample of this study amounted to 46 nurses obtained by Acidental Sampling. This research was conducted in March 2017. Data collection was done by observing the infusion by nurses and observation of phlebitis occurrence. The results showed 46 respondents who obtained results 22 people (84.6%) obedient and not phlebitis during hospitalization. Result of statistical test using Creamer got value P = 0,009 which mean p value ˂0,05 mean Ho rejected. From the result of the research, it can be concluded that there is nurse compliance relationship in running SPO infusion with


2021 ◽  

This regional report on the situation of tuberculosis (TB) in the Americas contains information from 2019, provided by the countries of the Region through the World Health Organization TB data collection system. These data have been consolidated and analyzed at the regional level. In addition to presenting the epidemiological and programmatic situation of TB in the Americas, the report aims to raise awareness and to motivate and encourage all stakeholders in the prevention and control of this disease, to accelerate efforts towards TB elimination in the Region, and to achieve the targets of the End TB Strategy. The report records the Region's achievements, but also the gaps in the work being carried out in diagnosis, treatment, comorbidities, vulnerable populations, risk factors, and funding, among other issues. Based on the information presented, specific recommendations are provided for further progress.


2021 ◽  
Vol 15 (5) ◽  
pp. e0009351
Author(s):  
Jaspreet Toor ◽  
Jonathan I. D. Hamley ◽  
Claudio Fronterre ◽  
María Soledad Castaño ◽  
Lloyd A. C. Chapman ◽  
...  

Locally tailored interventions for neglected tropical diseases (NTDs) are becoming increasingly important for ensuring that the World Health Organization (WHO) goals for control and elimination are reached. Mathematical models, such as those developed by the NTD Modelling Consortium, are able to offer recommendations on interventions but remain constrained by the data currently available. Data collection for NTDs needs to be strengthened as better data are required to indirectly inform transmission in an area. Addressing specific data needs will improve our modelling recommendations, enabling more accurate tailoring of interventions and assessment of their progress. In this collection, we discuss the data needs for several NTDs, specifically gambiense human African trypanosomiasis, lymphatic filariasis, onchocerciasis, schistosomiasis, soil-transmitted helminths (STH), trachoma, and visceral leishmaniasis. Similarities in the data needs for these NTDs highlight the potential for integration across these diseases and where possible, a wider spectrum of diseases.


10.2196/23897 ◽  
2021 ◽  
Vol 23 (1) ◽  
pp. e23897 ◽  
Author(s):  
Luca Bastiani ◽  
Loredana Fortunato ◽  
Stefania Pieroni ◽  
Fabrizio Bianchi ◽  
Fulvio Adorni ◽  
...  

Background Confirmed COVID-19 cases have been registered in more than 200 countries, and as of July 28, 2020, over 16 million cases have been reported to the World Health Organization. This study was conducted during the epidemic peak of COVID-19 in Italy. The early identification of individuals with suspected COVID-19 is critical in immediately quarantining such individuals. Although surveys are widely used for identifying COVID-19 cases, outcomes, and associated risks, no validated epidemiological tool exists for surveying SARS-CoV-2 infection in the general population. Objective We evaluated the capability of self-reported symptoms in discriminating COVID-19 to identify individuals who need to undergo instrumental measurements. We defined and validated a method for identifying a cutoff score. Methods Our study is phase II of the EPICOVID19 Italian national survey, which launched in April 2020 and included a convenience sample of 201,121 adults who completed the EPICOVID19 questionnaire. The Phase II questionnaire, which focused on the results of nasopharyngeal swab (NPS) and serological tests, was mailed to all subjects who previously underwent NPS tests. Results Of 2703 subjects who completed the Phase II questionnaire, 694 (25.7%) were NPS positive. Of the 472 subjects who underwent the immunoglobulin G (IgG) test and 421 who underwent the immunoglobulin M test, 22.9% (108/472) and 11.6% (49/421) tested positive, respectively. Compared to NPS-negative subjects, NPS-positive subjects had a higher incidence of fever (421/694, 60.7% vs 391/2009, 19.5%; P<.001), loss of taste and smell (365/694, 52.6% vs 239/2009, 11.9%; P<.001), and cough (352/694, 50.7% vs 580/2009, 28.9%; P<.001). With regard to subjects who underwent serological tests, IgG-positive subjects had a higher incidence of fever (65/108, 60.2% vs 43/364, 11.8%; P<.001) and pain in muscles/bones/joints (73/108, 67.6% vs 71/364, 19.5%; P<.001) than IgG-negative subjects. An analysis of self-reported COVID-19 symptom items revealed a 1-factor solution, the EPICOVID19 diagnostic scale. The following optimal scores were identified: 1.03 for respiratory problems, 1.07 for chest pain, 0.97 for loss of taste and smell 0.97, and 1.05 for tachycardia (ie, heart palpitations). These were the most important symptoms. For adults aged 18-84 years, the cutoff score was 2.56 (sensitivity: 76.56%; specificity: 68.24%) for NPS-positive subjects and 2.59 (sensitivity: 80.37%; specificity: 80.17%) for IgG-positive subjects. For subjects aged ≥60 years, the cutoff score was 1.28, and accuracy based on the presence of IgG antibodies improved (sensitivity: 88.00%; specificity: 89.58%). Conclusions We developed a short diagnostic scale to detect subjects with symptoms that were potentially associated with COVID-19 from a wide population. Our results support the potential of self-reported symptoms in identifying individuals who require immediate clinical evaluations. Although these results come from the Italian pandemic period, this short diagnostic scale could be optimized and tested as a screening tool for future similar pandemics.


2020 ◽  
Author(s):  
Luca Bastiani ◽  
Loredana Fortunato ◽  
Stefania Pieroni ◽  
Fabrizio Bianchi ◽  
Fulvio Adorni ◽  
...  

BACKGROUND Confirmed COVID-19 cases have been registered in more than 200 countries, and as of July 28, 2020, over 16 million cases have been reported to the World Health Organization. This study was conducted during the epidemic peak of COVID-19 in Italy. The early identification of individuals with suspected COVID-19 is critical in immediately quarantining such individuals. Although surveys are widely used for identifying COVID-19 cases, outcomes, and associated risks, no validated epidemiological tool exists for surveying SARS-CoV-2 infection in the general population. OBJECTIVE We evaluated the capability of self-reported symptoms in discriminating COVID-19 to identify individuals who need to undergo instrumental measurements. We defined and validated a method for identifying a cutoff score. METHODS Our study is phase II of the EPICOVID19 Italian national survey, which launched in April 2020 and included a convenience sample of 201,121 adults who completed the EPICOVID19 questionnaire. The Phase II questionnaire, which focused on the results of nasopharyngeal swab (NPS) and serological tests, was mailed to all subjects who previously underwent NPS tests. RESULTS Of 2703 subjects who completed the Phase II questionnaire, 694 (25.7%) were NPS positive. Of the 472 subjects who underwent the immunoglobulin G (IgG) test and 421 who underwent the immunoglobulin M test, 22.9% (108/472) and 11.6% (49/421) tested positive, respectively. Compared to NPS-negative subjects, NPS-positive subjects had a higher incidence of fever (421/694, 60.7% vs 391/2009, 19.5%; <i>P</i>&lt;.001), loss of taste and smell (365/694, 52.6% vs 239/2009, 11.9%; <i>P</i>&lt;.001), and cough (352/694, 50.7% vs 580/2009, 28.9%; <i>P</i>&lt;.001). With regard to subjects who underwent serological tests, IgG-positive subjects had a higher incidence of fever (65/108, 60.2% vs 43/364, 11.8%; <i>P</i>&lt;.001) and pain in muscles/bones/joints (73/108, 67.6% vs 71/364, 19.5%; <i>P</i>&lt;.001) than IgG-negative subjects. An analysis of self-reported COVID-19 symptom items revealed a 1-factor solution, the EPICOVID19 diagnostic scale. The following optimal scores were identified: 1.03 for respiratory problems, 1.07 for chest pain, 0.97 for loss of taste and smell 0.97, and 1.05 for tachycardia (ie, heart palpitations). These were the most important symptoms. For adults aged 18-84 years, the cutoff score was 2.56 (sensitivity: 76.56%; specificity: 68.24%) for NPS-positive subjects and 2.59 (sensitivity: 80.37%; specificity: 80.17%) for IgG-positive subjects. For subjects aged ≥60 years, the cutoff score was 1.28, and accuracy based on the presence of IgG antibodies improved (sensitivity: 88.00%; specificity: 89.58%). CONCLUSIONS We developed a short diagnostic scale to detect subjects with symptoms that were potentially associated with COVID-19 from a wide population. Our results support the potential of self-reported symptoms in identifying individuals who require immediate clinical evaluations. Although these results come from the Italian pandemic period, this short diagnostic scale could be optimized and tested as a screening tool for future similar pandemics.


2020 ◽  
Vol 4 (1) ◽  
pp. 8
Author(s):  
Norwidya Priansiska

The World Health Organization (WHO) found the number of infant deaths at 560,000, which is caused by infection of the umbilicalcord. Mothers who lack knowledge in teating the cord, causing the mother to usetraditional medicine clostridium tetanithus enabling the development of which can cause to infant mortality a baby. Types of quantitative analytic research. Cross sectional research design. The total of respondents as a sample of 20 postpartum. Data collection technique with accidental sampling and data analysis using univariate analysis and bivariate analysis. The result of univariate analysis showed that the majority of parity correctly as much as  10 postpartum (50%) , then knowledge the majority correctly as much as 13 postpartum (65%) . From bivariate analysis shows that there is a relationship between parity with postpartum knowledge about the umbilical cord carebecause ρ value < 0,05 (ρ value = 0,034).


2019 ◽  
Vol 2 (3) ◽  
pp. 2
Author(s):  
Lucia Otero Varela ◽  
Chelsea Doktorchik ◽  
Natalie Wiebe ◽  
Catherine Eastwood ◽  
Hude Quan

Background:  The International Classification of Diseases (ICD) is globally used for coding morbidity and mortality statistics, however, its use, as well as the data collection features vary greatly across countries. Objective: To characterize hospital ICD-coded data collection worldwide. Methods: After an in-depth grey and academic literature review, an online survey was created to poll the 194 World Health Organization (WHO) member countries. Questions focused on hospital data collection systems and ICD-coded data features. The survey was distributed, using different methods, to potential participants that met the specific criteria, as well as organizations specialized in the topic, such as WHO Collaborating Centers (WHO-CC) or International Federation of Health Information Management Association (IFHIMA), to be forwarded to their representatives. Answers were analyzed using descriptive statistics. Results: Data from 48 respondents from 26 different countries has been collected. Results reveal worldwide use of ICD, with variations in the maximum allowable coding fields for diagnoses and interventions. For instance, in some countries there is an unlimited number of coding fields (Netherlands, Thailand and Iran), as opposed to others with only 1-6 available (Guatemala or Mauritius). Disparities also exist in the definition of a main condition, as 60% of the countries use “reason for admission” and 40% utilize “resource use”. Additionally, the mandatory type of data fields in the hospital morbidity database (e.g. patient demographics, admission type, discharge disposition, diagnoses, …) differ among countries, with diagnosis timing and physician information being the least frequently required. Conclusion: These survey data will establish the current state of ICD use internationally, which will ultimately be valuable to the WHO for the promotion of ICD and the rollout of ICD-11. Additionally, it will improve international comparisons of health data, and encourage further research on how to improve ICD coding.


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