Dataset Information

Prevalence of Giardia duodenalis and Cryptosporidium species infections among children and cattle in North Shewa Zone, Ethiopia.

ABSTRACT:

Background

Giardia and Cryptosporidium are the most common causes of protozoan diarrhea that lead to significant morbidity and mortality worldwide. The purpose of this study was to determine the prevalence of Giardia duodenalis and Cryptosporidium species infections among children and cattle, and to assess the potential risk of zoonotic transmission.

Methods

This cross-sectional study was conducted between January and April 2009 in Girar Jarso and Dera Districts of North Shewa Zone, Oromia Region, Ethiopia. A total of 768 stool specimens were collected and examined for intestinal parasites using direct wet mount with saline and formalin ether concentration methods. The modified Ziehl-Neelsen staining method was used for the detection of Cryptosporidium species. Statistical analysis was performed using SPSS software version 15.

Results

Out of 384 children examined, 53 (13.8%) and 28 (7.3%) were positive for Giardia and Cryptosporidium infections, respectively. Similarly, of the total 384 cattle examined, 9 (2.3%) were positive for Giardia duodenalis and 30 (7.8%) were positive for Cryptosporidium infection. The prevalence of giardiasis was significantly higher among children who had close contact with cattle 33 (18.7%) compared to children who had no contact with cattle 20 (9.6%) (P?ConclusionsHigher prevalence of Giardia duodenalis infection detected among children was significantly associated with contact with cattle and manure that the children had. Further analysis using molecular techniques is needed to explain the existence of zoonotic transmission in the study area.

SUBMITTER: Wegayehu T

PROVIDER: S-EPMC3849630 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Prevalence of Giardia duodenalis and Cryptosporidium species infections among children and cattle in North Shewa Zone, Ethiopia.

Wegayehu Teklu T Adamu Haileeyesus H Petros Beyene B

BMC infectious diseases 20130908

<h4>Background</h4>Giardia and Cryptosporidium are the most common causes of protozoan diarrhea that lead to significant morbidity and mortality worldwide. The purpose of this study was to determine the prevalence of Giardia duodenalis and Cryptosporidium species infections among children and cattle, and to assess the potential risk of zoonotic transmission.<h4>Methods</h4>This cross-sectional study was conducted between January and April 2009 in Girar Jarso and Dera Districts of North Shewa Zon ...[more]

PMID: 24010794

Similar Datasets

Project description:BackgroudGiardia duodenalis and Cryptosporidium spp. are enteric protozoan causing gastrointestinal illness in humans and animals. Giardiasis and cryptosporidiosis are not formally considered as neglected tropical diseases, but belong to the group of poverty-related infectious diseases that impair the development and socio-economic potential of infected individuals in developing countries.MethodsWe report here the prevalence and genetic diversity of G. duodenalis and Cryptosporidium spp. in children attending rural primary schools in the Bahir Dar district of the Amhara Region, Ethiopia. Stool samples were collected from 393 children and analysed by molecular methods. G. duodenalis was detected by real-time PCR, and the assemblages and sub-assemblages were determined by multilocus sequence-based genotyping of the glutamate dehydrogenase and β-giardin genes of the parasite. Detection and identification of Cryptosporidium species was carried out by sequencing of a partial fragment of the small-subunit ribosomal RNA gene.Principal findingsThe PCR-based prevalences of G. duodenalis and Cryptosporidium spp. were 55.0% (216/393) and 4.6% (18/393), respectively. A total of 78 G. duodenalis isolates were successfully characterized, revealing the presence of sub-assemblages AII (10.3%), BIII (28.2%), and BIV (32.0%). Discordant typing results AII/AIII and BIII/BIV were identified in 7.7% and 15.4% of the isolates, respectively. An additional five (6.4%) isolates were assigned to assemblage B. No mixed infections of assemblages A+B were found. Extensive genetic variation at the nucleotide level was observed within assemblage B (but no within assemblage A), resulting in the identification of a large number of sub-types. Cryptosporidium diversity was demonstrated by the occurrence of C. hominis, C. parvum, and C. viatorum in the population under study.ConclusionsOur data suggest an epidemiological scenario with an elevated transmission intensity of a wide range of G. duodenalis genetic variants. Importantly, the elevated degree of genetic diversity observed within assemblage B is consistent with the occurrence of intra-assemblage recombination in G. duodenalis.

Project description:BackgroundAnkober District has long been inhabited by people who have a long tradition of using medicinal plants to treat human ailments. Overexploitation of medicinal plants coupled with an ever-increasing population growth, deforestation and agricultural land expansion threatens plants in the area. Hence, this study aimed at documenting and analyzing the plant-based ethnomedicinal knowledge of the people in order to preserve the dwindling indigenous knowledge.MethodsEthnobotanical data were collected using semi-structured interviews, focus group discussions, participant observation and walk-in-the-woods. Quantitative approaches were used to determine Informant Consensus Factor (ICF) and Fidelity level (FL) values. Statistical tests were used to compare the indigenous knowledge on medicinal plants among different informant categories.ResultsA total of 135 medicinal plant species belonging to 128 genera and 71 botanical families were reported to treat human diseases in the District. Families Asteraceae (12 species, 9%) and Fabaceae (10, 7.4%) were found to be best represented in the area. About 44% of preparations were reported to be obtained from roots. Significant difference (P?<?0.05) was observed on the mean number of medicinal plants reported by groups of respondents compared within age, literacy level and experience parameters. Highest ICF values were recorded for gastro-intestinal & parasitic and dermatological disease categories (0.70 each) indicating best agreement among informants knowledge on medicinal plants used to treat aliments in these categories. Highest fidelity level values were recorded for Zehneria scabra (95%) and Hagenia abyssinica (93.75%) showing conformity of knowledge on species of best healing potential. Podocarpus falcatus was ranked first in a direct matrix ranking exercise of multipurpose medicinal plants. The output of preference ranking exercise indicated that Olea europaea subsp. cuspidata was the most preferred species to treat atopic eczema.ConclusionThe study revealed that Ankober District is rich in medicinal plant diversity and associated indigenous knowledge. However, anthropogenic factors coupled with acculturation and very poor conservation efforts threaten medicinal plant survival in the area. Promoting a complementary in situ and ex situ conservation strategy for medicinal plants of the District is highly recommended.

Project description:BackgroundIn Ethiopia, the majority of animal owners throughout the country depend on traditional healthcare practices to manage their animals' health problems. This ethnoveterinary study was carried out in Ensaro District, North Showa Zone, and Amhara Region, Ethiopia, to identify medicinal plant species used by the local community to treat various livestock ailments.MethodsTo collect ethnobotanical information, a total of 389 informants (283 men and 106 women) were selected. Among these 95 traditional medicine practitioners were purposely chosen, while the remaining 294 were selected through a systematic random sampling method. Ethnobotanical data were collected through semi-structured interviews, participant observation, guided filed walks and focus group discussions. The Informant Consensus Factor (ICF) and Fidelity Level (FL) values, preference, and direct matrix exercise ranking were determined using quantitative methods. Statistical tests were used to compare indigenous knowledge of medicinal plants among different informant groups.ResultsA total of 44 ethnoveterinary medicinal plant species were collected and identified that were distributed across 43 genera and 28 families. The family Solanaceae stood first by contributing 4 species followed by Amaranthaceae, Asteraceae, Euphorbiaceae, Fabaceae and lamiaceae with 3 species each. Thirty- seven (88.09%) medicinal plants were collected from wild habitats, 6 medicinal plant species were collected from home garden. The most frequently used life form was shrubs (23 species, 54.76%) followed by herbs (13 species, 30.95%). The widely used parts of medicinal plants were leaves followed by roots. Prepared remedies were administered through drenching, dropping, smearing, eating, wrapping, fumigating and washing. There was significant difference in the indigenous knowledge of medicinal plants between gender, urban and rural people, general and key informants and among age groups.ConclusionEnsaro District is a relatively rich in diversity of ethnoveterinary medicinal plants together with a rich indigenous knowledge in the local communities to collect and effectively utilize for the management different livestock diseases. On the other hand, these days, agricultural expansion, fuel wood collection, cutting plants for fence, furniture and charcoal production are the major threatening factors of these plant resources. Thus, people of the study area must implement in situ and ex-situ conservation strategies to ensure sustainable utilization of these species.

Dataset Information

Prevalence of Giardia duodenalis and Cryptosporidium species infections among children and cattle in North Shewa Zone, Ethiopia.

Background

Methods

Results

Publications

Prevalence of Giardia duodenalis and Cryptosporidium species infections among children and cattle in North Shewa Zone, Ethiopia.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets