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HIV-1-infected adults are at increased risk for malaria. Insecticide-treated bednets protect individuals from malaria. Little is known about correlates of ownership and use of bednets among HIV-1-infected individuals. We conducted a cross-sectional survey of 388 HIV-1-infected adults recruited from three sites in Kenya (Kilifi, Kisii, and Kisumu) to determine factors associated with ownership and use of optimal bednets. We defined an optimal bednet as an untorn, insecticide-treated bednet. Of 388 participants, 134(34.5%) reported owning an optimal bednet. Of those that owned optimal bednets, most (76.9%) reported using it daily. In a multivariate model, higher socioeconomic status as defined as postsecondary education [OR = 2.8 (95% CI: 1.3-6.4), p = 0.01] and living in a permanent home [OR = 1.7(1.03-2.9), p = 0.04] were significantly associated with optimal bednet ownership. Among individuals who owned bednets, employed individuals were less likely [OR = 0.2(0.04-0.8), p = 0.01] and participants from Kilifi were more likely to use bednets [OR = 2.9 (95% CI 1.04-8.1), p = 0.04] in univariate analysis. Participants from Kilifi had the least education, lowest income, and lowest rate of employment. Our findings suggest that lower socioeconomic status is a barrier to ownership of an optimal bednet. However, consistent use is high once individuals are in possession of an optimal bednet. Increasing access to optimal bednets will lead to high uptake and use.

Purpose. We examined the relationship between various health parameters and aflatoxin B1 (AFB1) albumin adduct levels in plasma.Design. A cross‐sectional field study was conducted in four villages ...

Humoral immune responses play a pivotal role in naturally acquired immunity to malaria. Understanding which humoral responses are impaired among individuals at higher risk for malaria may improve our understanding of malaria immune control and contribute to vaccine development.We compared humoral responses with 483 Plasmodium falciparum antigens between adults in, Kisumu (high, year-long malaria transmission leading to partial immunity), and adults in Kisii (low, seasonal malaria transmission). Then within each site, we compared malaria-specific humoral responses between those at higher risk for malaria (CD4(+) ≤500) and those at lower risk for malaria (CD4(+)500). A protein microarray chip containing 483 P. falciparum antigens and 71 HIV antigens was used. Benjamini-Hochberg adjustments were made to control for multiple comparisons.Fifty-seven antigens including CSP, MSP1, LSA1 and AMA1 were identified as significantly more reactive in Kisumu than in Kisii. Ten of these antigens had been identified as protective in an earlier study. CD4(+) T-cell count did not significantly impact humoral responses.Protein microarrays are a useful method to screen multiple humoral responses simultaneously. This study provides useful clues for potential vaccine candidates. Modest decreases in CD4 counts may not significantly impact malaria-specific humoral immunity.

Many countries in Africa, including Sierra Leone, have adopted artemisinin-based combination therapy as first-line therapy for treatment of patients with malaria. Because laboratory testing is often unavailable in rural areas, the cost-benefit and viability of this approach may depend on accurately diagnosing malaria by using clinical criteria. We assessed the accuracy of syndromic diagnosis for malaria in three peripheral health units in rural Sierra Leone and determined factors that were associated with an accurate malaria diagnosis. Of 175 children diagnosed with malaria on syndromic grounds, 143 (82%) were confirmed by the Paracheck-Pf test. In a multivariate analysis, splenomegaly (P = 0.04) was the only clinical sign significantly associated with laboratory-confirmed malaria, and sleeping under a bed net was protective (P = 0.05). Our findings show that clinical malaria is diagnosed relatively accurately in rural Sierra Leone. Incorporating bed net use and splenomegaly into the national Integrated Management of Childhood Illness guidelines for evaluation of fever may further enhance diagnostic accuracy for malaria.

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