Epidemiological Studies of Waterborne Diseases in Relation to Bacteriological Quality of Water

Abdulkadir, Nafi’u; Afolabi, R. O.; Usman, Hizbullahi M; Mustapha, Gani; Abubakar, Umar

doi:10.9734/mrji/2019/v28i430141

Cited by 3 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This strategy was tested in many areas during the SARS-CoV-2 pandemic and was validated by a number of authors [9,10]. Another benefit of pathogen identification through sewage is the ability to monitor both endemic and Waterborne Datasets (WBDs) [9,[11][12][13]. The latter are collections of microorganisms primarily related to diarrhoea disorders that are transferred by water or food irrigated in polluted water and generate large-scale outbreaks.…”

Section: Introductionmentioning

confidence: 99%

A New COVID-19 Detection Method Based on CSK/QAM Visible Light Communication and Machine Learning

Soto

Zamorano-Illanes

Becerra

et al. 2023

Sensors

View full text Add to dashboard Cite

This article proposes a novel method for detecting coronavirus disease 2019 (COVID-19) in an underground channel using visible light communication (VLC) and machine learning (ML). We present mathematical models of COVID-19 Deoxyribose Nucleic Acid (DNA) gene transfer in regular square constellations using a CSK/QAM-based VLC system. ML algorithms are used to classify the bands present in each electrophoresis sample according to whether the band corresponds to a positive, negative, or ladder sample during the search for the optimal model. Complexity studies reveal that the square constellation N=22i×22i,(i=3) yields a greater profit. Performance studies indicate that, for BER = 10−3, there are gains of −10 [dB], −3 [dB], 3 [dB], and 5 [dB] for N=22i×22i,(i=0,1,2,3), respectively. Based on a total of 630 COVID-19 samples, the best model is shown to be XGBoots, which demonstrated an accuracy of 96.03%, greater than that of the other models, and a recall of 99% for positive values.

show abstract

Section: Introductionmentioning

confidence: 99%

A New COVID-19 Detection Method Based on CSK/QAM Visible Light Communication and Machine Learning

Soto

Zamorano-Illanes

Becerra

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…Common waterborne illnesses in Nigeria include dysentery, diarrhea, cholera, typhoid fever and schistosomiasis among others. Diseases such as these are usually associated with bacteria, protozoans, viruses and helminthes [4,5].…”

Section: Introductionmentioning

confidence: 99%

Effect of Plant Extract on Pathogens Isolated from Water Source

Eze

Stanley

Nwankwo

2023

IJPR

View full text Add to dashboard Cite

This study was designed to evaluate the effect of Aloe barbadensis Miller (Aloe vera) and Cymbopogon citratus (Lemongrass) extracts on pathogenic bacteria isolated from surface and ground water samples in Port Harcourt Metropolis. Samples of Aloe vera and Lemon grass were collected, pre-treated and extracted using n-hexane and ethanol respectively. The plant extracts were qualitatively and quantitatively assessed for their phytochemical properties using standard methods. Surface and ground water samples were collected and characterized for their physico-chemical and microbiological properties using standard methods. The pathogenic bacteria isolated from the water samples were subjected to antibacterial susceptibility tests using selected commercial antibiotics and the plant extracts respectively. Result revealed the presence of eight phytochemicals namely alkaloid, flavonoid, saponnin, tannin, glycoside, steroid, phenol and terpene in both hexane and ethanol extracts of the Lemongrass and Aloe vera with varying degrees. Four bacterial pathogens namely Streptococcus spp., Shigella spp., Pseudomonas spp. and Staphylococcus spp. were identified in the water samples. All of them were susceptible to both hexane and ethanol extracts of the Lemongrass and Aloe vera plants with zones of inhibition ranging from 10.2 mm to 14.5 mm and 16.7 mm to 20.9 mm and 4.2 mm to 9.5 mm and 6.7 mm to 11.2 mm, respectively. Commercial antibiotics such as Ciproflox, Streptomycin, Chloramphenicol and Cuntamycin were active against all the bacteria pathogens, with zones of inhibition ranging from 15.7 mm to 21.2 mm, 13.2 mm to 21.3 mm, 3.1 mm to 14.5 mm and 3.3 mm to 14.7 mm, respectively. The antibacterial action of ethanol extract of the Lemongrass on all four pathogens was comparable to that of commercial antibiotics such as Ciproflox, Streptomycin and Ofloxacin which also demonstrated higher antibacterial action on the pathogens. This study has revealed the usefulness of Aloe vera and Lemongrass plants in phyto-antibiotics and phyto-medicine.

show abstract

An Impact of Climatic Change on Water-borne Diseases: A Review

Fadhil

Ruswan

Ismail

et al. 2021

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Climatic change has a great impact on the water cyclus, impacts on water resources, the frequency and intensity of floods because of high rainfall, the natural environment and human health. In this article, a survey of the effect of climatic change on waterborne diseases. Materials and Methods The keywords “climate change”, “waterborne diseases” were used in combination with “or” and “and” by performing electronic searches on Google and Google Scholar. The search was operated with a publication year insulate among January 2019 and October 2020. Results: Of the 34 articles collected, 19 articles were excluded because they had no correlation, while 15 articles were submitted and met the inclusion criteria. The literature reviewed shows that, most of the research has been carried out in wealthy countries, and approximation of the effect of climatic change on waterborne diseases are uncertain for the following reasons: 1) Hesitation about the spread of disease through climate change due to changing rainfall patterns 2) Hesitation about direct and indirect connection among climatic and human health 3) Hesitation about the connection among climatic and waterborne diseases as a consequence of changes in health. Conclusion: The hesitation in this estimate has led to little research in this regard.

show abstract

Epidemiological Studies of Waterborne Diseases in Relation to Bacteriological Quality of Water

Cited by 3 publications

References 8 publications

A New COVID-19 Detection Method Based on CSK/QAM Visible Light Communication and Machine Learning

A New COVID-19 Detection Method Based on CSK/QAM Visible Light Communication and Machine Learning

Effect of Plant Extract on Pathogens Isolated from Water Source

An Impact of Climatic Change on Water-borne Diseases: A Review

Contact Info

Product

Resources

About