Publications by authors named "Mao Sokny"

Article Synopsis
  • The study explored the formation and stability of malaria hotspots and their effectiveness for targeted elimination in eastern Cambodia over a two-year period.
  • Results showed a decrease in Plasmodium infection prevalence from 8.4% in 2016 to 3.6% in 2017, with living in a malaria-positive household being a stronger predictor of future infection than living in a malaria hotspot.
  • The findings suggest that malaria risk is more clustered at the household level rather than in broader hotspots, indicating that malaria elimination efforts should focus on household-based strategies.
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Heterogeneity in malaria risk is considered a challenge for malaria elimination. A cross-sectional study was conducted to describe and explain micro-epidemiological variation in Plasmodium infection prevalence at household and village level in three villages in Ratanakiri Province, Cambodia. A two-level logistic regression model with a random intercept fitted for each household was used to model the odds of Plasmodium infection, with sequential adjustment for individual-level then household-level risk factors.

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Background: Cambodia reduced malaria incidence by more than 75% between 2000 and 2015, a target of the Millennium Development Goal 6. The Cambodian Government aims to eliminate all forms of malaria by 2025. The country's malaria incidence is highly variable at provincial level, but less is known at village level.

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Background: Although effective topical repellents provide personal protection against malaria, whether mass use of topical repellents in addition to long-lasting insecticidal nets can contribute to a further decline of malaria is not known, particularly in areas where outdoor transmission occurs. We aimed to assess the epidemiological efficacy of a highly effective topical repellent in addition to long-lasting insecticidal nets in reducing malaria prevalence in this setting.

Methods: A cluster randomised controlled trial was done in the 117 most endemic villages in Ratanakiri province, Cambodia, to assess the efficacy of topical repellents in addition to long-lasting insecticidal nets in controlling malaria in a low-endemic setting.

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Scaling up of insecticide treated nets has contributed to a substantial malaria decline. However, some malaria vectors, and most arbovirus vectors, bite outdoors and in the early evening. Therefore, topically applied insect repellents may provide crucial additional protection against mosquito-borne pathogens.

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Background: To achieve the goal of malaria elimination in low transmission areas such as in Cambodia, new, inexpensive, high-throughput diagnostic tools for identifying very low parasite densities in asymptomatic carriers are required. This will enable a switch from passive to active malaria case detection in the field.

Methods: DNA extraction and real-time PCR assays were implemented in an "in-house" designed mobile laboratory allowing implementation of a robust, sensitive and rapid malaria diagnostic strategy in the field.

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Article Synopsis
  • - The study investigates malaria transmission linked to outdoor-biting mosquitoes in forested regions of Cambodia, where traditional control methods primarily target indoor-biting vectors.
  • - Researchers conducted mosquito collections and blood sample analyses in 12 villages and surrounding forests, discovering that geographical factors significantly influenced mosquito density and early biting rates.
  • - Findings highlight the importance of outdoor malaria transmission, indicating that deforestation could shift vector dynamics, potentially increasing secondary mosquito populations in formerly forested areas.
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Background: In Cambodia, malaria transmission is low and most cases occur in forested areas. Sero-epidemiological techniques can be used to identify both areas of ongoing transmission and high-risk groups to be targeted by control interventions. This study utilizes repeated cross-sectional data to assess the risk of being malaria sero-positive at two consecutive time points during the rainy season and investigates who is most likely to sero-convert over the transmission season.

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Aims: To present a new approach for estimating the "true prevalence" of malaria and apply it to datasets from Peru, Vietnam, and Cambodia.

Methods: Bayesian models were developed for estimating both the malaria prevalence using different diagnostic tests (microscopy, PCR & ELISA), without the need of a gold standard, and the tests' characteristics. Several sources of information, i.

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