Understanding heterogeneities in mosquito-bite exposure and infection distributions for the elimination of lymphatic filariasis
It is well known that individuals in the same community can be exposed to a highly variable number of mosquito bites. This heterogeneity in bite exposure has consequences for the control of vector-borne diseases because a few people may be contributing significantly to transmission. However, very fe...
| Main Authors: | , , , |
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| Format: | Journal article |
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Royal Society
2018
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| _version_ | 1797096679271301120 |
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| author | Irvine, M Kazura, J Hollingsworth, T Reimer, L |
| author_facet | Irvine, M Kazura, J Hollingsworth, T Reimer, L |
| author_sort | Irvine, M |
| collection | OXFORD |
| description | It is well known that individuals in the same community can be exposed to a highly variable number of mosquito bites. This heterogeneity in bite exposure has consequences for the control of vector-borne diseases because a few people may be contributing significantly to transmission. However, very few studies measure sources of heterogeneity in a way which is relevant to decision-making. We investigate the relationship between two classic measures of heterogeneity, spatial and individual, within the context of lymphatic filariasis, a parasitic mosquito-borne disease. Using infection and mosquito-bite data for five villages in Papua New Guinea, we measure biting characteristics to model what impact bed-nets have had on control of the disease. We combine this analysis with geospatial modelling to understand the spatial relationship between disease indicators and nightly mosquito bites. We found a weak association between biting and infection heterogeneity within villages. The introduction of bed-nets increased biting heterogeneity, but the reduction in mean biting more than compensated for this, by reducing prevalence closer to elimination thresholds. Nightly biting was explained by a spatial heterogeneity model, while parasite load was better explained by an individual heterogeneity model. Spatial and individual heterogeneity are qualitatively different with profoundly different policy implications. |
| first_indexed | 2024-03-07T04:44:58Z |
| format | Journal article |
| id | oxford-uuid:d2ed44dc-1d79-417a-9ce9-12e0647d63f4 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T04:44:58Z |
| publishDate | 2018 |
| publisher | Royal Society |
| record_format | dspace |
| spelling | oxford-uuid:d2ed44dc-1d79-417a-9ce9-12e0647d63f42022-03-27T08:07:38ZUnderstanding heterogeneities in mosquito-bite exposure and infection distributions for the elimination of lymphatic filariasisJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:d2ed44dc-1d79-417a-9ce9-12e0647d63f4Symplectic Elements at OxfordRoyal Society2018Irvine, MKazura, JHollingsworth, TReimer, LIt is well known that individuals in the same community can be exposed to a highly variable number of mosquito bites. This heterogeneity in bite exposure has consequences for the control of vector-borne diseases because a few people may be contributing significantly to transmission. However, very few studies measure sources of heterogeneity in a way which is relevant to decision-making. We investigate the relationship between two classic measures of heterogeneity, spatial and individual, within the context of lymphatic filariasis, a parasitic mosquito-borne disease. Using infection and mosquito-bite data for five villages in Papua New Guinea, we measure biting characteristics to model what impact bed-nets have had on control of the disease. We combine this analysis with geospatial modelling to understand the spatial relationship between disease indicators and nightly mosquito bites. We found a weak association between biting and infection heterogeneity within villages. The introduction of bed-nets increased biting heterogeneity, but the reduction in mean biting more than compensated for this, by reducing prevalence closer to elimination thresholds. Nightly biting was explained by a spatial heterogeneity model, while parasite load was better explained by an individual heterogeneity model. Spatial and individual heterogeneity are qualitatively different with profoundly different policy implications. |
| spellingShingle | Irvine, M Kazura, J Hollingsworth, T Reimer, L Understanding heterogeneities in mosquito-bite exposure and infection distributions for the elimination of lymphatic filariasis |
| title | Understanding heterogeneities in mosquito-bite exposure and infection distributions for the elimination of lymphatic filariasis |
| title_full | Understanding heterogeneities in mosquito-bite exposure and infection distributions for the elimination of lymphatic filariasis |
| title_fullStr | Understanding heterogeneities in mosquito-bite exposure and infection distributions for the elimination of lymphatic filariasis |
| title_full_unstemmed | Understanding heterogeneities in mosquito-bite exposure and infection distributions for the elimination of lymphatic filariasis |
| title_short | Understanding heterogeneities in mosquito-bite exposure and infection distributions for the elimination of lymphatic filariasis |
| title_sort | understanding heterogeneities in mosquito bite exposure and infection distributions for the elimination of lymphatic filariasis |
| work_keys_str_mv | AT irvinem understandingheterogeneitiesinmosquitobiteexposureandinfectiondistributionsfortheeliminationoflymphaticfilariasis AT kazuraj understandingheterogeneitiesinmosquitobiteexposureandinfectiondistributionsfortheeliminationoflymphaticfilariasis AT hollingswortht understandingheterogeneitiesinmosquitobiteexposureandinfectiondistributionsfortheeliminationoflymphaticfilariasis AT reimerl understandingheterogeneitiesinmosquitobiteexposureandinfectiondistributionsfortheeliminationoflymphaticfilariasis |