Spatial distribution of Giardia lamblia infection among general population in Mazandaran Province, north of Iran

Siyadatpanah, Abolghasem; Sharif, Mehdi; Daryani, Ahmad; Sarvi, Shahabeddin; Kohansal, Mohammad Hasan; Barzegari, Saeed; Pagheh, Abdol Sattar; Gholami, Shirzad

doi:10.1007/s12639-018-0976-0

Cited by 9 publications

(3 citation statements)

References 23 publications

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“…These results were in agreement with that obtained by El-Kowrany et al, (2016)who did a similar study in Gharbia Governorate. Also, similar results were obtained by Siyadatpanah et al, (2018), they studied Giardiasis distribution in Iran.…”

Section: Resultssupporting

confidence: 82%

Prevalence of Giardia intestinalis and Cryptosporidium parvum Parasites in Drinking Water in Menoufia Governorate, Egypt

Shafey¹,

M.M²,

Diab³

et al. 2019

Int.J.Curr.Microbiol.App.Sci

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Entero-parasites protozoan of the genera Cryptosporidium and Giardia have emerged over the past decades as major waterborne pathogens with an increasing number of outbreaks reaching over one hundred and sixty. In line with the national goals of providing safe drinking water supplies, this research was designed. We aimed to estimate the prevalence of Cryptosporidium parvum and Giardia intestinalis infections in surface water plants from ShebinAl-Kom and Tala, Menoufia Governorate and to evaluate routine water purification methods used for parasitic elimination. The following methods were used for assessment of samples; mechanical filtration, staining techniques and qPCR assay for detecting DNA of (oo) cysts n water samples.Water samples collected over one year (four seasons) were 87 samples. Microscopic examination (our golden test) revealed, 49 samples positive for cryptosporidium, fourteen positive samples for Giardia and four samples were positive for both of them whereas, qPCR revealed only eight positive samples for Giardia and ten positive samples for cryptosporidium. A statistically significant result concerning seasonal variation was documented where water contamination crested in Summer (p < 0.05). The intensity of infection decreased significantly after water treatment in both Shebin and Tala water stations (P= 0.01).From the present survey, we found that the prevalence of giardiasis and cryptosporidiosis accounted for 29.8% and 47.1% in Shebin Al-Kom and Tala respectively. The parasitic cyst wall structure rendered diagnosis by qPCR. Genotyping of water samples is recommended for sourcing of infection which may be accused of water-borne outbreaks.

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Section: Resultssupporting

confidence: 82%

Prevalence of Giardia intestinalis and Cryptosporidium parvum Parasites in Drinking Water in Menoufia Governorate, Egypt

Shafey¹,

M.M²,

Diab³

et al. 2019

Int.J.Curr.Microbiol.App.Sci

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“…A major advantage of GWR model is the presentation of local variability and local collinearity [77] which are not available in modelling with ANN, SVM and GLM. Local variability for each rural district shows the power of the model in different locations across the study area.…”

Section: Discussionmentioning

confidence: 99%

Prediction mapping of human leptospirosis using ANN, GWR, SVM and GLM approaches

et al. 2019

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Background: Recent reports of the National Ministry of Health and Treatment of Iran (NMHT) show that Gilan has a higher annual incidence rate of leptospirosis than other provinces across the country. Despite several efforts of the government and NMHT to eradicate leptospirosis, it remains a public health problem in this province. Modelling and Prediction of this disease may play an important role in reduction of the prevalence. Methods: This study aims to model and predict the spatial distribution of leptospirosis utilizing Geographically Weighted Regression (GWR), Generalized Linear Model (GLM), Support Vector Machine (SVM) and Artificial Neural Network (ANN) as capable approaches. Five environmental parameters of precipitation, temperature, humidity, elevation and vegetation are used for modelling and predicting of the disease. Data of 2009 and 2010 are used for training, and 2011 for testing and evaluating the models. Results: Results indicate that utilized approaches in this study can model and predict leptospirosis with high significance level. To evaluate the efficiency of the approaches, MSE (GWR = 0.050, SVM = 0.137, GLM = 0.118 and ANN = 0.137), MAE (0.012, 0.063, 0.052 and 0.063), MRE (0.011, 0.018, 0.017 and 0.018) and R 2 (0.85, 0.80, 0.78 and 0.75) are used. Conclusion: Results indicate the practical usefulness of approaches for spatial modelling and predicting leptospirosis. The efficiency of models is as follow: GWR > SVM > GLM > ANN. In addition, temperature and humidity are investigated as the most influential parameters. Moreover, the suitable habitat of leptospirosis is mostly within the central rural districts of the province.

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“…They used local Moran's I and found the city of Amol as a major high-risk area among 15 cities in the province. 18 In another study conducted by Asfaram et al in the same province, the Savadkooh region was identified as a high-risk area in terms of B hominis. 19 There are other studies related to spatial analysis of parasitic diseases in different geographical areas of Iran, most of which conducted in a particular area or province, not the whole country.…”

Section: Introductionmentioning

confidence: 90%

Comparing spatio‐temporal distribution of the most common human parasitic infections in Iran over two periods 2007 to 2012 and 2013 to 2018: A systematic quantitative literature review

Kiani

Raouf-Rahmati

Bergquist

et al. 2020

Health Planning & Management

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Summary This study analyses the spatio‐temporal trend of the prevalence of the four most prevalent parasitic diseases in Iran over two periods, 2007 to 2012 and 2013 to 2018, indicating high‐risk and low‐risk areas. Out of 19 126 articles, we selected 220 articles for data extraction and calculated the pooled prevalence for cutaneous leishmaniasis, human toxoplasmosis, giardiasis and blastocystosis for all 31 provinces in the country. Anselin local Moran's I was used to identify clusters and outliers in the prevalence rates. The mean prevalence of cutaneous leishmaniasis patients was found 35.12 per 100 000 in 2007 to 2012 but fell to 19.12 per 100 000 in the 2013 to 2018 period. The mean prevalence of acute and chronic toxoplasmosis was 2.36% and 32.5%, respectively, in 2007 to 2012, which changed to 2.28% and 31.14% in 2013 to 2018. The total prevalence of giardiasis declined from 9.8% in 2007 to 2012 to 4.8% in 2013 to 2018, while the mean prevalence of blastocystosis declined from 8.9% in 2007 to 2012 to 6.76% in the 2013 to 2018 period. There was only one high‐high cluster in 2007 to 2012 and that was due to giardiasis, while there were two in 2013 to 2018, one for blastocystosis and one for chronic toxoplasmosis. The total prevalence of blastocystosis, giardiasis and cutaneous leishmaniasis in Iran has continually declined since 2007. In contrast, the prevalence of toxoplasmosis in pregnant Iranian women has not been changed. Iran's Midwest has more parasitic infections compared to the Mideast, which may be explained by the existence of vast deserts and consequently dry and hot climate in the latter part of the country.

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Spatial distribution of Giardia lamblia infection among general population in Mazandaran Province, north of Iran

Cited by 9 publications

References 23 publications

Prevalence of Giardia intestinalis and Cryptosporidium parvum Parasites in Drinking Water in Menoufia Governorate, Egypt

Prevalence of Giardia intestinalis and Cryptosporidium parvum Parasites in Drinking Water in Menoufia Governorate, Egypt

Prediction mapping of human leptospirosis using ANN, GWR, SVM and GLM approaches

Comparing spatio‐temporal distribution of the most common human parasitic infections in Iran over two periods 2007 to 2012 and 2013 to 2018: A systematic quantitative literature review

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