Seasonally timed treatment programs for Ascaris lumbricoides to increase impact : an investigation using mathematical models
- Author
- Emma L Davis, Leon Danon, Joaquín M Prada, Sharmini A Gunawardena, James E Truscott, Johnny Vlaminck (UGent) , Roy M Anderson, Bruno Levecke (UGent) , Eric R Morgan and T Deirdre Hollingsworth
- Organization
- Abstract
- There is clear empirical evidence that environmental conditions can influence Ascaris spp. free-living stage development and host reinfection, but the impact of these differences on human infections, and interventions to control them, is variable. A new model framework reflecting four key stages of the A. lumbricoides life cycle, incorporating the effects of rainfall and temperature, is used to describe the level of infection in the human population alongside the environmental egg dynamics. Using data from South Korea and Nigeria, we conclude that settings with extreme fluctuations in rainfall or temperature could exhibit strong seasonal transmission patterns that may be partially masked by the longevity of A. lumbricoides infections in hosts; we go on to demonstrate how seasonally timed mass drug administration (MDA) could impact the outcomes of control strategies. For the South Korean setting the results predict a comparative decrease of 74.5% in mean worm days (the number of days the average individual spend infected with worms across a 12 month period) between the best and worst MDA timings after four years of annual treatment. The model found no significant seasonal effect on MDA in the Nigerian setting due to a narrower annual temperature range and no rainfall dependence. Our results suggest that seasonal variation in egg survival and maturation could be exploited to maximise the impact of MDA in certain settings.
- Keywords
- FREE-LIVING STAGES, GASTROINTESTINAL NEMATODE INFECTIONS, ANTHELMINTIC RESISTANCE, HAEMONCHUS-CONTORTUS, HELMINTH INFECTIONS, SIMULATED RAINFALL, SUUM EGGS, SHEEP, PARASITES, TEMPERATURE
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8548676
- MLA
- Davis, Emma L., et al. “Seasonally Timed Treatment Programs for Ascaris Lumbricoides to Increase Impact : An Investigation Using Mathematical Models.” PLOS NEGLECTED TROPICAL DISEASES, vol. 12, no. 1, 2018, doi:10.1371/journal.pntd.0006195.
- APA
- Davis, E. L., Danon, L., Prada, J. M., Gunawardena, S. A., Truscott, J. E., Vlaminck, J., … Hollingsworth, T. D. (2018). Seasonally timed treatment programs for Ascaris lumbricoides to increase impact : an investigation using mathematical models. PLOS NEGLECTED TROPICAL DISEASES, 12(1). https://doi.org/10.1371/journal.pntd.0006195
- Chicago author-date
- Davis, Emma L, Leon Danon, Joaquín M Prada, Sharmini A Gunawardena, James E Truscott, Johnny Vlaminck, Roy M Anderson, Bruno Levecke, Eric R Morgan, and T Deirdre Hollingsworth. 2018. “Seasonally Timed Treatment Programs for Ascaris Lumbricoides to Increase Impact : An Investigation Using Mathematical Models.” PLOS NEGLECTED TROPICAL DISEASES 12 (1). https://doi.org/10.1371/journal.pntd.0006195.
- Chicago author-date (all authors)
- Davis, Emma L, Leon Danon, Joaquín M Prada, Sharmini A Gunawardena, James E Truscott, Johnny Vlaminck, Roy M Anderson, Bruno Levecke, Eric R Morgan, and T Deirdre Hollingsworth. 2018. “Seasonally Timed Treatment Programs for Ascaris Lumbricoides to Increase Impact : An Investigation Using Mathematical Models.” PLOS NEGLECTED TROPICAL DISEASES 12 (1). doi:10.1371/journal.pntd.0006195.
- Vancouver
- 1.Davis EL, Danon L, Prada JM, Gunawardena SA, Truscott JE, Vlaminck J, et al. Seasonally timed treatment programs for Ascaris lumbricoides to increase impact : an investigation using mathematical models. PLOS NEGLECTED TROPICAL DISEASES. 2018;12(1).
- IEEE
- [1]E. L. Davis et al., “Seasonally timed treatment programs for Ascaris lumbricoides to increase impact : an investigation using mathematical models,” PLOS NEGLECTED TROPICAL DISEASES, vol. 12, no. 1, 2018.
@article{8548676, abstract = {{There is clear empirical evidence that environmental conditions can influence Ascaris spp. free-living stage development and host reinfection, but the impact of these differences on human infections, and interventions to control them, is variable. A new model framework reflecting four key stages of the A. lumbricoides life cycle, incorporating the effects of rainfall and temperature, is used to describe the level of infection in the human population alongside the environmental egg dynamics. Using data from South Korea and Nigeria, we conclude that settings with extreme fluctuations in rainfall or temperature could exhibit strong seasonal transmission patterns that may be partially masked by the longevity of A. lumbricoides infections in hosts; we go on to demonstrate how seasonally timed mass drug administration (MDA) could impact the outcomes of control strategies. For the South Korean setting the results predict a comparative decrease of 74.5% in mean worm days (the number of days the average individual spend infected with worms across a 12 month period) between the best and worst MDA timings after four years of annual treatment. The model found no significant seasonal effect on MDA in the Nigerian setting due to a narrower annual temperature range and no rainfall dependence. Our results suggest that seasonal variation in egg survival and maturation could be exploited to maximise the impact of MDA in certain settings.}}, articleno = {{e0006195}}, author = {{Davis, Emma L and Danon, Leon and Prada, Joaquín M and Gunawardena, Sharmini A and Truscott, James E and Vlaminck, Johnny and Anderson, Roy M and Levecke, Bruno and Morgan, Eric R and Hollingsworth, T Deirdre}}, issn = {{1935-2735}}, journal = {{PLOS NEGLECTED TROPICAL DISEASES}}, keywords = {{FREE-LIVING STAGES,GASTROINTESTINAL NEMATODE INFECTIONS,ANTHELMINTIC RESISTANCE,HAEMONCHUS-CONTORTUS,HELMINTH INFECTIONS,SIMULATED RAINFALL,SUUM EGGS,SHEEP,PARASITES,TEMPERATURE}}, language = {{eng}}, number = {{1}}, pages = {{20}}, title = {{Seasonally timed treatment programs for Ascaris lumbricoides to increase impact : an investigation using mathematical models}}, url = {{http://doi.org/10.1371/journal.pntd.0006195}}, volume = {{12}}, year = {{2018}}, }
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