Cargando…
Individual and Household Level Risk Factors Associated with Malaria in Nchelenge District, a Region with Perennial Transmission: A Serial Cross-Sectional Study from 2012 to 2015
BACKGROUND: The scale-up of malaria control interventions has resulted in substantial declines in transmission in some but not all regions of sub-Saharan Africa. Understanding factors associated with persistent malaria transmission despite control efforts may guide targeted interventions to high-ris...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4900528/ https://www.ncbi.nlm.nih.gov/pubmed/27281028 http://dx.doi.org/10.1371/journal.pone.0156717 |
_version_ | 1782436651751964672 |
---|---|
author | Pinchoff, Jessie Chaponda, Mike Shields, Timothy M. Sichivula, James Muleba, Mbanga Mulenga, Modest Kobayashi, Tamaki Curriero, Frank C. Moss, William J. |
author_facet | Pinchoff, Jessie Chaponda, Mike Shields, Timothy M. Sichivula, James Muleba, Mbanga Mulenga, Modest Kobayashi, Tamaki Curriero, Frank C. Moss, William J. |
author_sort | Pinchoff, Jessie |
collection | PubMed |
description | BACKGROUND: The scale-up of malaria control interventions has resulted in substantial declines in transmission in some but not all regions of sub-Saharan Africa. Understanding factors associated with persistent malaria transmission despite control efforts may guide targeted interventions to high-risk areas and populations. METHODS: Household malaria surveys were conducted in Nchelenge District, Luapula Province, in northern Zambia. Structures that appeared to be households were enumerated from a high-resolution satellite image and randomly sampled for enrollment. Households were enrolled into cross-sectional (single visit) or longitudinal (visits every other month) cohorts but analyses were restricted to cross-sectional visits and the first visit to longitudinal households. During study visits, a questionnaire was administered to adults and caretakers of children and a blood sample was collected for a malaria rapid diagnostic test (RDT) from all household residents. Characteristics associated with RDT positivity were analyzed using multi-level models. RESULTS: A total of 2,486 individuals residing within 742 households were enrolled between April 2012 and July 2015. Over this period, 51% of participants were RDT positive. Forty-three percent of all RDT positive individuals were between the ages of 5 and 17 years although this age group comprised only 30% of study participants. In a multivariable model, the odds being RDT positive were highest in 5–17 year olds and did not vary by season. Children 5–17 years of age had 8.83 higher odds of being RDT positive compared with those >18 years of age (95% CI: 6.13, 12.71); there was an interaction between age and report of symptoms, with an almost 50% increased odds of report of symptoms with decreasing age category (OR = 1.49; 95% CI 1.11, 2.00). CONCLUSIONS: Children and adolescents between the ages of 5 and 17 were at the highest risk of malaria infection throughout the year. School-based programs may be effective at targeting this high-risk group. |
format | Online Article Text |
id | pubmed-4900528 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-49005282016-06-24 Individual and Household Level Risk Factors Associated with Malaria in Nchelenge District, a Region with Perennial Transmission: A Serial Cross-Sectional Study from 2012 to 2015 Pinchoff, Jessie Chaponda, Mike Shields, Timothy M. Sichivula, James Muleba, Mbanga Mulenga, Modest Kobayashi, Tamaki Curriero, Frank C. Moss, William J. PLoS One Research Article BACKGROUND: The scale-up of malaria control interventions has resulted in substantial declines in transmission in some but not all regions of sub-Saharan Africa. Understanding factors associated with persistent malaria transmission despite control efforts may guide targeted interventions to high-risk areas and populations. METHODS: Household malaria surveys were conducted in Nchelenge District, Luapula Province, in northern Zambia. Structures that appeared to be households were enumerated from a high-resolution satellite image and randomly sampled for enrollment. Households were enrolled into cross-sectional (single visit) or longitudinal (visits every other month) cohorts but analyses were restricted to cross-sectional visits and the first visit to longitudinal households. During study visits, a questionnaire was administered to adults and caretakers of children and a blood sample was collected for a malaria rapid diagnostic test (RDT) from all household residents. Characteristics associated with RDT positivity were analyzed using multi-level models. RESULTS: A total of 2,486 individuals residing within 742 households were enrolled between April 2012 and July 2015. Over this period, 51% of participants were RDT positive. Forty-three percent of all RDT positive individuals were between the ages of 5 and 17 years although this age group comprised only 30% of study participants. In a multivariable model, the odds being RDT positive were highest in 5–17 year olds and did not vary by season. Children 5–17 years of age had 8.83 higher odds of being RDT positive compared with those >18 years of age (95% CI: 6.13, 12.71); there was an interaction between age and report of symptoms, with an almost 50% increased odds of report of symptoms with decreasing age category (OR = 1.49; 95% CI 1.11, 2.00). CONCLUSIONS: Children and adolescents between the ages of 5 and 17 were at the highest risk of malaria infection throughout the year. School-based programs may be effective at targeting this high-risk group. Public Library of Science 2016-06-09 /pmc/articles/PMC4900528/ /pubmed/27281028 http://dx.doi.org/10.1371/journal.pone.0156717 Text en © 2016 Pinchoff et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Pinchoff, Jessie Chaponda, Mike Shields, Timothy M. Sichivula, James Muleba, Mbanga Mulenga, Modest Kobayashi, Tamaki Curriero, Frank C. Moss, William J. Individual and Household Level Risk Factors Associated with Malaria in Nchelenge District, a Region with Perennial Transmission: A Serial Cross-Sectional Study from 2012 to 2015 |
title | Individual and Household Level Risk Factors Associated with Malaria in Nchelenge District, a Region with Perennial Transmission: A Serial Cross-Sectional Study from 2012 to 2015 |
title_full | Individual and Household Level Risk Factors Associated with Malaria in Nchelenge District, a Region with Perennial Transmission: A Serial Cross-Sectional Study from 2012 to 2015 |
title_fullStr | Individual and Household Level Risk Factors Associated with Malaria in Nchelenge District, a Region with Perennial Transmission: A Serial Cross-Sectional Study from 2012 to 2015 |
title_full_unstemmed | Individual and Household Level Risk Factors Associated with Malaria in Nchelenge District, a Region with Perennial Transmission: A Serial Cross-Sectional Study from 2012 to 2015 |
title_short | Individual and Household Level Risk Factors Associated with Malaria in Nchelenge District, a Region with Perennial Transmission: A Serial Cross-Sectional Study from 2012 to 2015 |
title_sort | individual and household level risk factors associated with malaria in nchelenge district, a region with perennial transmission: a serial cross-sectional study from 2012 to 2015 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4900528/ https://www.ncbi.nlm.nih.gov/pubmed/27281028 http://dx.doi.org/10.1371/journal.pone.0156717 |
work_keys_str_mv | AT pinchoffjessie individualandhouseholdlevelriskfactorsassociatedwithmalariainnchelengedistrictaregionwithperennialtransmissionaserialcrosssectionalstudyfrom2012to2015 AT chapondamike individualandhouseholdlevelriskfactorsassociatedwithmalariainnchelengedistrictaregionwithperennialtransmissionaserialcrosssectionalstudyfrom2012to2015 AT shieldstimothym individualandhouseholdlevelriskfactorsassociatedwithmalariainnchelengedistrictaregionwithperennialtransmissionaserialcrosssectionalstudyfrom2012to2015 AT sichivulajames individualandhouseholdlevelriskfactorsassociatedwithmalariainnchelengedistrictaregionwithperennialtransmissionaserialcrosssectionalstudyfrom2012to2015 AT mulebambanga individualandhouseholdlevelriskfactorsassociatedwithmalariainnchelengedistrictaregionwithperennialtransmissionaserialcrosssectionalstudyfrom2012to2015 AT mulengamodest individualandhouseholdlevelriskfactorsassociatedwithmalariainnchelengedistrictaregionwithperennialtransmissionaserialcrosssectionalstudyfrom2012to2015 AT kobayashitamaki individualandhouseholdlevelriskfactorsassociatedwithmalariainnchelengedistrictaregionwithperennialtransmissionaserialcrosssectionalstudyfrom2012to2015 AT currierofrankc individualandhouseholdlevelriskfactorsassociatedwithmalariainnchelengedistrictaregionwithperennialtransmissionaserialcrosssectionalstudyfrom2012to2015 AT mosswilliamj individualandhouseholdlevelriskfactorsassociatedwithmalariainnchelengedistrictaregionwithperennialtransmissionaserialcrosssectionalstudyfrom2012to2015 AT individualandhouseholdlevelriskfactorsassociatedwithmalariainnchelengedistrictaregionwithperennialtransmissionaserialcrosssectionalstudyfrom2012to2015 |