Investigating differences in village-level heterogeneity of malaria infection and household risk factors in Papua New Guinea
Abstract Malaria risk is highly heterogeneous. Understanding village and household-level spatial heterogeneity of malaria risk can support a transition to spatially targeted interventions for malaria elimination. This analysis uses data from cross-sectional prevalence surveys conducted in 2014 and 2...
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Nature Portfolio
2021
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oai:doaj.org-article:403ca72175c54da0aef0374b1abd21dd2021-12-02T15:10:34ZInvestigating differences in village-level heterogeneity of malaria infection and household risk factors in Papua New Guinea10.1038/s41598-021-95959-82045-2322https://doaj.org/article/403ca72175c54da0aef0374b1abd21dd2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95959-8https://doaj.org/toc/2045-2322Abstract Malaria risk is highly heterogeneous. Understanding village and household-level spatial heterogeneity of malaria risk can support a transition to spatially targeted interventions for malaria elimination. This analysis uses data from cross-sectional prevalence surveys conducted in 2014 and 2016 in two villages (Megiar and Mirap) in Papua New Guinea. Generalised additive modelling was used to characterise spatial heterogeneity of malaria risk and investigate the contribution of individual, household and environmental-level risk factors. Following a period of declining malaria prevalence, the prevalence of P. falciparum increased from 11.4 to 19.1% in Megiar and 12.3 to 28.3% in Mirap between 2014 and 2016, with focal hotspots observed in these villages in 2014 and expanding in 2016. Prevalence of P. vivax was similar in both years (20.6% and 18.3% in Megiar, 22.1% and 23.4% in Mirap) and spatial risk heterogeneity was less apparent compared to P. falciparum. Within-village hotspots varied by Plasmodium species across time and between villages. In Megiar, the adjusted odds ratio (AOR) of infection could be partially explained by household factors that increase risk of vector exposure, such as collecting outdoor surface water as a main source of water. In Mirap, increased AOR overlapped with proximity to densely vegetated areas of the village. The identification of household and environmental factors associated with increased spatial risk may serve as useful indicators of transmission hotspots and inform the development of tailored approaches for malaria control.Desmond GulDaniela Rodríguez-RodríguezElma NateAlma AuwanMary SalibLina LorryJohn B. KevenMichelle KatuseleJason RosadoNatalie HofmannMaria Ome-KaiusCristian KoepfliIngrid FelgerJames W. KazuraManuel W. HetzelIvo MuellerStephan KarlArchie C. A. ClementsFreya J. I. FowkesMoses LamanLeanne J. RobinsonNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021) |
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DOAJ |
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DOAJ |
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EN |
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Medicine R Science Q |
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Medicine R Science Q Desmond Gul Daniela Rodríguez-Rodríguez Elma Nate Alma Auwan Mary Salib Lina Lorry John B. Keven Michelle Katusele Jason Rosado Natalie Hofmann Maria Ome-Kaius Cristian Koepfli Ingrid Felger James W. Kazura Manuel W. Hetzel Ivo Mueller Stephan Karl Archie C. A. Clements Freya J. I. Fowkes Moses Laman Leanne J. Robinson Investigating differences in village-level heterogeneity of malaria infection and household risk factors in Papua New Guinea |
| description |
Abstract Malaria risk is highly heterogeneous. Understanding village and household-level spatial heterogeneity of malaria risk can support a transition to spatially targeted interventions for malaria elimination. This analysis uses data from cross-sectional prevalence surveys conducted in 2014 and 2016 in two villages (Megiar and Mirap) in Papua New Guinea. Generalised additive modelling was used to characterise spatial heterogeneity of malaria risk and investigate the contribution of individual, household and environmental-level risk factors. Following a period of declining malaria prevalence, the prevalence of P. falciparum increased from 11.4 to 19.1% in Megiar and 12.3 to 28.3% in Mirap between 2014 and 2016, with focal hotspots observed in these villages in 2014 and expanding in 2016. Prevalence of P. vivax was similar in both years (20.6% and 18.3% in Megiar, 22.1% and 23.4% in Mirap) and spatial risk heterogeneity was less apparent compared to P. falciparum. Within-village hotspots varied by Plasmodium species across time and between villages. In Megiar, the adjusted odds ratio (AOR) of infection could be partially explained by household factors that increase risk of vector exposure, such as collecting outdoor surface water as a main source of water. In Mirap, increased AOR overlapped with proximity to densely vegetated areas of the village. The identification of household and environmental factors associated with increased spatial risk may serve as useful indicators of transmission hotspots and inform the development of tailored approaches for malaria control. |
| format |
article |
| author |
Desmond Gul Daniela Rodríguez-Rodríguez Elma Nate Alma Auwan Mary Salib Lina Lorry John B. Keven Michelle Katusele Jason Rosado Natalie Hofmann Maria Ome-Kaius Cristian Koepfli Ingrid Felger James W. Kazura Manuel W. Hetzel Ivo Mueller Stephan Karl Archie C. A. Clements Freya J. I. Fowkes Moses Laman Leanne J. Robinson |
| author_facet |
Desmond Gul Daniela Rodríguez-Rodríguez Elma Nate Alma Auwan Mary Salib Lina Lorry John B. Keven Michelle Katusele Jason Rosado Natalie Hofmann Maria Ome-Kaius Cristian Koepfli Ingrid Felger James W. Kazura Manuel W. Hetzel Ivo Mueller Stephan Karl Archie C. A. Clements Freya J. I. Fowkes Moses Laman Leanne J. Robinson |
| author_sort |
Desmond Gul |
| title |
Investigating differences in village-level heterogeneity of malaria infection and household risk factors in Papua New Guinea |
| title_short |
Investigating differences in village-level heterogeneity of malaria infection and household risk factors in Papua New Guinea |
| title_full |
Investigating differences in village-level heterogeneity of malaria infection and household risk factors in Papua New Guinea |
| title_fullStr |
Investigating differences in village-level heterogeneity of malaria infection and household risk factors in Papua New Guinea |
| title_full_unstemmed |
Investigating differences in village-level heterogeneity of malaria infection and household risk factors in Papua New Guinea |
| title_sort |
investigating differences in village-level heterogeneity of malaria infection and household risk factors in papua new guinea |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/403ca72175c54da0aef0374b1abd21dd |
| work_keys_str_mv |
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