2018
DOI: 10.1186/s12936-018-2575-z
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Age and gender trends in insecticide-treated net use in sub-Saharan Africa: a multi-country analysis

Abstract: BackgroundThe degree to which insecticide-treated net (ITN) supply accounts for age and gender disparities in ITN use among household members is unknown. This study explores the role of household ITN supply in the variation in ITN use among household members in sub-Saharan Africa.MethodsData was from Malaria Indicator Surveys or Demographic and Health Surveys collected between 2011 and 2016 from 29 countries in sub-Saharan Africa. The main outcome was ITN use the previous night. Other key variables included IT… Show more

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Cited by 77 publications
(121 citation statements)
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“…Most of the malaria interventions at community or facility levels in Mozambique have been designed to reach women, often through multiple ANC visits, and children under 5 and pregnant women are consistently most likely users of ITNs [23]. A recent qualitative study in Zambézia Province found that barriers to ANC included gender inequality in decision-making, and the responsibility for pregnancy being seen to have to be largely shouldered by the woman [24].…”
Section: Exploring Gender Dynamicsmentioning
confidence: 99%
“…Most of the malaria interventions at community or facility levels in Mozambique have been designed to reach women, often through multiple ANC visits, and children under 5 and pregnant women are consistently most likely users of ITNs [23]. A recent qualitative study in Zambézia Province found that barriers to ANC included gender inequality in decision-making, and the responsibility for pregnancy being seen to have to be largely shouldered by the woman [24].…”
Section: Exploring Gender Dynamicsmentioning
confidence: 99%
“…Studies have shown that the major driver of ITN use is access to an ITN, because a person cannot use an ITN unless one is available [9][10][11]. However, individual, household, and community-level factors also in uence ITN usage.…”
Section: Introductionmentioning
confidence: 99%
“…Household-level determinants of ITN include household size, household composition, number of sleeping rooms, and intrahousehold sleeping arrangements [11,14,[18][19][20][21]. At the community level, factors such as residence, environmental conditions, and malaria seasonality have also been shown to in uence ITN usage [9,21,22].…”
Section: Introductionmentioning
confidence: 99%
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“…There are several factors that affect ITN access and use, including household size [23], user characteristics: age, gender, pregnancy status [24][25][26], and socio-economic status (SES) [27]. So, as nets wear out and access to nets declines, it is likely that households will prioritize who will use the remaining net(s) based on the number of net(s) currently available in the household and their condition [28][29][30]. Potential consequences of prioritization could be 1) crowding, i.e.…”
Section: Introductionmentioning
confidence: 99%