Literature DB >> 18165515

Is there evidence for dual causation between malaria and socioeconomic status? Findings from rural Tanzania.

Masha F Somi1, James R G Butler, Farshid Vahid, Joseph Njau, S Patrick Kachur, Salim Abdulla.   

Abstract

Malaria's relationship with socioeconomic status at the macroeconomic level has been established. This is the first study to explore this relationship at the microeconomic (household) level and estimate the direction of association. Malaria prevalence was measured by parasitemia, and household socioeconomic status was measured using an asset based index. Results from an instrumental variable probit model suggest that socioeconomic status is negatively associated with malaria parasitemia. Other variables that are significantly associated with parasitemia include age of the individual, use of a mosquito net on the night before interview, the number of people living in the household, whether the household was residing at their farm home at the time of interview, household wall construction, and the region of residence. Matching estimators indicate that malaria parasitemia is associated with reduced household socioeconomic status.

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Year:  2007        PMID: 18165515

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   2.345


  38 in total

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2.  House Structure Is Associated with Plasmodium falciparum Infection in a Low-Transmission Setting in Southern Zambia.

Authors:  Matthew M Ippolito; Kelly M Searle; Harry Hamapumbu; Timothy M Shields; Jennifer C Stevenson; Philip E Thuma; William J Moss
Journal:  Am J Trop Med Hyg       Date:  2017-08-18       Impact factor: 2.345

3.  Occupational activities associated with a reported history of malaria among women working in small-scale agriculture in South Africa.

Authors:  Saloshni Naidoo; Leslie London; Alex Burdorf; Rajen N Naidoo; Hans Kromhout
Journal:  Am J Trop Med Hyg       Date:  2011-11       Impact factor: 2.345

4.  Placental malaria and the risk of malaria in infants in a high malaria transmission area in ghana: a prospective cohort study.

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Journal:  J Infect Dis       Date:  2013-08-01       Impact factor: 5.226

5.  Equity implications of coverage and use of insecticide treated nets distributed for free or with co-payment in two districts in Tanzania: A cross-sectional comparative household survey.

Authors:  George M Ruhago; Phares Gm Mujinja; Ole F Norheim
Journal:  Int J Equity Health       Date:  2011-07-21

6.  The economic costs of malaria in four Kenyan districts: do household costs differ by disease endemicity?

Authors:  Jane Chuma; Vincent Okungu; Catherine Molyneux
Journal:  Malar J       Date:  2010-06-02       Impact factor: 2.979

7.  Principal component analysis of socioeconomic factors and their association with malaria in children from the Ashanti Region, Ghana.

Authors:  Anne Caroline Krefis; Norbert Georg Schwarz; Bernard Nkrumah; Samuel Acquah; Wibke Loag; Nimako Sarpong; Yaw Adu-Sarkodie; Ulrich Ranft; Jürgen May
Journal:  Malar J       Date:  2010-07-13       Impact factor: 2.979

8.  Using sexually transmitted infection biomarkers to validate reporting of sexual behavior within a randomized, experimental evaluation of interviewing methods.

Authors:  Paul C Hewett; Barbara S Mensch; Manoel Carlos S de A Ribeiro; Heidi E Jones; Sheri A Lippman; Mark R Montgomery; Janneke H H M van de Wijgert
Journal:  Am J Epidemiol       Date:  2008-06-04       Impact factor: 4.897

9.  Socio-economic and household determinants of malaria in adults aged 45 and above: analysis of longitudinal ageing survey in India, 2017-2018.

Authors:  Indumathi Mohan; Naveen Kumar Kodali; Savitha Chellappan; Balasubramani Karuppusamy; Sujit Kumar Behera; Gopalan Natarajan; Praveen Balabaskaran Nina
Journal:  Malar J       Date:  2021-07-07       Impact factor: 2.979

10.  Is malaria illness among young children a cause or a consequence of low socioeconomic status? evidence from the united Republic of Tanzania.

Authors:  Marcia Caldas de Castro; Monica G Fisher
Journal:  Malar J       Date:  2012-05-09       Impact factor: 2.979

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