Measuring and characterizing night time human behaviour as it relates to residual malaria transmission in sub-Saharan Africa: a review of the published literature.


Journal

Malaria journal
ISSN: 1475-2875
Titre abrégé: Malar J
Pays: England
ID NLM: 101139802

Informations de publication

Date de publication:
11 Jan 2019
Historique:
received: 19 11 2018
accepted: 08 01 2019
entrez: 13 1 2019
pubmed: 13 1 2019
medline: 12 2 2019
Statut: epublish

Résumé

Malaria cases and deaths decreased dramatically in recent years, largely due to effective vector control interventions. Persistence of transmission after good coverage has been achieved with high-quality vector control interventions, namely insecticide-treated nets or indoor residual spraying, poses a significant challenge to malaria elimination efforts. To understand when and where remaining transmission is occurring, it is necessary to look at vector and human behaviour, and where they overlap. To date, a review of human behaviour related to residual malaria transmission has not been conducted. Studies were identified through PubMed and Google Scholar. Hand searches were conducted for all references cited in articles identified through the initial search. The review was limited to English language articles published between 2000 and 2017. Publications with primary data from a malaria endemic setting in sub-Saharan Africa and a description of night time human behaviours were included. Twenty-six publications were identified that met inclusion criteria. Study results fit into two broad categories: when and where people are exposed to malaria vectors and what people are doing at night that may increase their contact with malaria vectors. Among studies that quantified human-vector interaction, a majority of exposure occurred indoors during sleeping hours for unprotected individuals, with some variation across time, contexts, and vector species. Common night time activities across settings included household chores and entertainment during evening hours, as well as livelihood and large-scale socio-cultural events that can last throughout the night. Shifting sleeping patterns associated with travel, visitors, illness, farming practices, and outdoor sleeping, which can impact exposure and use of prevention measures, were described in some locations. While the importance of understanding human-vector interaction is well-established, relatively few studies have included human behaviour when measuring exposure to malaria vectors. Broader application of a standardized approach to measuring human-vector interaction could provide critical information on exposure across settings and over time. In-depth understanding of night time activities that occur during times when malaria vectors are active and barriers to prevention practices in different contexts should also be considered. This information is essential for targeting existing interventions and development and deployment of appropriate complementary prevention tools.

Sections du résumé

BACKGROUND BACKGROUND
Malaria cases and deaths decreased dramatically in recent years, largely due to effective vector control interventions. Persistence of transmission after good coverage has been achieved with high-quality vector control interventions, namely insecticide-treated nets or indoor residual spraying, poses a significant challenge to malaria elimination efforts. To understand when and where remaining transmission is occurring, it is necessary to look at vector and human behaviour, and where they overlap. To date, a review of human behaviour related to residual malaria transmission has not been conducted.
METHODS METHODS
Studies were identified through PubMed and Google Scholar. Hand searches were conducted for all references cited in articles identified through the initial search. The review was limited to English language articles published between 2000 and 2017. Publications with primary data from a malaria endemic setting in sub-Saharan Africa and a description of night time human behaviours were included.
RESULTS RESULTS
Twenty-six publications were identified that met inclusion criteria. Study results fit into two broad categories: when and where people are exposed to malaria vectors and what people are doing at night that may increase their contact with malaria vectors. Among studies that quantified human-vector interaction, a majority of exposure occurred indoors during sleeping hours for unprotected individuals, with some variation across time, contexts, and vector species. Common night time activities across settings included household chores and entertainment during evening hours, as well as livelihood and large-scale socio-cultural events that can last throughout the night. Shifting sleeping patterns associated with travel, visitors, illness, farming practices, and outdoor sleeping, which can impact exposure and use of prevention measures, were described in some locations.
CONCLUSIONS CONCLUSIONS
While the importance of understanding human-vector interaction is well-established, relatively few studies have included human behaviour when measuring exposure to malaria vectors. Broader application of a standardized approach to measuring human-vector interaction could provide critical information on exposure across settings and over time. In-depth understanding of night time activities that occur during times when malaria vectors are active and barriers to prevention practices in different contexts should also be considered. This information is essential for targeting existing interventions and development and deployment of appropriate complementary prevention tools.

Identifiants

pubmed: 30634963
doi: 10.1186/s12936-019-2638-9
pii: 10.1186/s12936-019-2638-9
pmc: PMC6329148
doi:

Substances chimiques

Insecticides 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

6

Subventions

Organisme : United States Agency for International Development
ID : Cooperative Agreement No. AID-OAA-A-14-00057

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Auteurs

April Monroe (A)

PMI VectorWorks Project, Johns Hopkins Center for Communication Programs, Baltimore, MD, USA. amonro10@jhu.edu.
Swiss Tropical and Public Health Institute, Basel, Switzerland. amonro10@jhu.edu.
University of Basel, Basel, Switzerland. amonro10@jhu.edu.
Ifakara Health Institute, Dar es Salaam, Tanzania. amonro10@jhu.edu.

Sarah Moore (S)

Swiss Tropical and Public Health Institute, Basel, Switzerland.
University of Basel, Basel, Switzerland.
Ifakara Health Institute, Dar es Salaam, Tanzania.

Hannah Koenker (H)

PMI VectorWorks Project, Johns Hopkins Center for Communication Programs, Baltimore, MD, USA.

Matthew Lynch (M)

PMI VectorWorks Project, Johns Hopkins Center for Communication Programs, Baltimore, MD, USA.

Emily Ricotta (E)

Swiss Tropical and Public Health Institute, Basel, Switzerland.
University of Basel, Basel, Switzerland.

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Classifications MeSH