Risk of human helminthiases: geospatial distribution and targeted control
Objectives: We conducted a cross-sectional survey in 2012 among 22 rural barangays in Northern Samar, the Philippines in order to determine the prevalence of single and multiple species helminth infections, their geospatial distribution and underlying risk factors. Methods: A total of 10,434 individ...
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| Format: | Article |
| Language: | English |
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Elsevier
2017-02-01
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| Series: | International Journal of Infectious Diseases |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1201971216316563 |
| _version_ | 1819266922516054016 |
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| author | Weiwei Yu Allen G. Ross Remigio M. Olveda Donald A. Harn Yuesheng Li Delia Chy Gail M. Williams |
| author_facet | Weiwei Yu Allen G. Ross Remigio M. Olveda Donald A. Harn Yuesheng Li Delia Chy Gail M. Williams |
| author_sort | Weiwei Yu |
| collection | DOAJ |
| description | Objectives: We conducted a cross-sectional survey in 2012 among 22 rural barangays in Northern Samar, the Philippines in order to determine the prevalence of single and multiple species helminth infections, their geospatial distribution and underlying risk factors.
Methods: A total of 10,434 individuals who had completed both a medical questionnaire and a stool examination were included in the analysis. Barangay specific prevalence rates were displayed in ArcMap.
Results: The prevalence of Trichuris trichiura infection was found to be the highest at 62.4%, followed by Ascaris lumbricoides, hookworm and S. japonicum with the prevalence rates of 40.2%, 31.32%, and 27.1%, respectively. 52.7% of people were infected with at least two parasites and 4.8% with all four parasites. Males aged 10-19 years were the most vulnerable to coinfection infection. Students, fishermen, farmers and housewives were the most vulnerable occupations for co-infection of A. lumbricoides and T. trichiura. Considerable heterogeneity in the spatial distribution was observed for the different parasite species. There was a considerably higher risk of A. lumbricoides and T. trichiura co-infection in villages with no schistosomiasis infection (P < 0.0001) regardless of MDA treatment.
Conclusions: A better understanding of the geospatial distribution of multi-parasitism will guide future integrated strategies leading to elimination. |
| first_indexed | 2024-12-23T21:08:58Z |
| format | Article |
| id | doaj.art-7dfb358b7b274bb69ab41a56414a6437 |
| institution | Directory Open Access Journal |
| issn | 1201-9712 1878-3511 |
| language | English |
| last_indexed | 2024-12-23T21:08:58Z |
| publishDate | 2017-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Infectious Diseases |
| spelling | doaj.art-7dfb358b7b274bb69ab41a56414a64372022-12-21T17:31:09ZengElsevierInternational Journal of Infectious Diseases1201-97121878-35112017-02-0155C13113810.1016/j.ijid.2016.12.013Risk of human helminthiases: geospatial distribution and targeted controlWeiwei Yu0Allen G. Ross1Remigio M. Olveda2Donald A. Harn3Yuesheng Li4Delia Chy5Gail M. Williams6School of Public Health, University of Queensland, Brisbane, AustraliaMenzies Health Institute Queensland, Griffith University, Gold Coast, AustraliaResearch Institute for Tropical Medicine, Department of Health, the PhilippinesCentre for Tropical and Emerging Global Health Diseases, University of Georgia, USAQIMR Berghofer Medical Research Institute, AustraliaMunicipal Medical Officer of Health, Palapag, Northern SamarSchool of Public Health, University of Queensland, Brisbane, AustraliaObjectives: We conducted a cross-sectional survey in 2012 among 22 rural barangays in Northern Samar, the Philippines in order to determine the prevalence of single and multiple species helminth infections, their geospatial distribution and underlying risk factors. Methods: A total of 10,434 individuals who had completed both a medical questionnaire and a stool examination were included in the analysis. Barangay specific prevalence rates were displayed in ArcMap. Results: The prevalence of Trichuris trichiura infection was found to be the highest at 62.4%, followed by Ascaris lumbricoides, hookworm and S. japonicum with the prevalence rates of 40.2%, 31.32%, and 27.1%, respectively. 52.7% of people were infected with at least two parasites and 4.8% with all four parasites. Males aged 10-19 years were the most vulnerable to coinfection infection. Students, fishermen, farmers and housewives were the most vulnerable occupations for co-infection of A. lumbricoides and T. trichiura. Considerable heterogeneity in the spatial distribution was observed for the different parasite species. There was a considerably higher risk of A. lumbricoides and T. trichiura co-infection in villages with no schistosomiasis infection (P < 0.0001) regardless of MDA treatment. Conclusions: A better understanding of the geospatial distribution of multi-parasitism will guide future integrated strategies leading to elimination.http://www.sciencedirect.com/science/article/pii/S1201971216316563Intestinal helminthsRisk FactorsMass Drug Administration (MDA)ControlGeospatial DistributionArcMap |
| spellingShingle | Weiwei Yu Allen G. Ross Remigio M. Olveda Donald A. Harn Yuesheng Li Delia Chy Gail M. Williams Risk of human helminthiases: geospatial distribution and targeted control International Journal of Infectious Diseases Intestinal helminths Risk Factors Mass Drug Administration (MDA) Control Geospatial Distribution ArcMap |
| title | Risk of human helminthiases: geospatial distribution and targeted control |
| title_full | Risk of human helminthiases: geospatial distribution and targeted control |
| title_fullStr | Risk of human helminthiases: geospatial distribution and targeted control |
| title_full_unstemmed | Risk of human helminthiases: geospatial distribution and targeted control |
| title_short | Risk of human helminthiases: geospatial distribution and targeted control |
| title_sort | risk of human helminthiases geospatial distribution and targeted control |
| topic | Intestinal helminths Risk Factors Mass Drug Administration (MDA) Control Geospatial Distribution ArcMap |
| url | http://www.sciencedirect.com/science/article/pii/S1201971216316563 |
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