Publications by authors named "Fahmida Khanam"

Objectives: Dengue emerged as a significant health threat in endemic regions in recent years. However, inconsistent diagnostic accuracy in sequential dengue infections necessitate improved testing methods to ensure effective management of dengue cases. Here, we evaluated a portable, rapid, and sensitive molecular assay-reverse transcriptase recombinase polymerase amplification assay (RT-RAA)-utilizing a mobile suitcase laboratory to detect infections in suspected dengue cases in Bangladesh.

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This study aimed to determine patterns of respiratory, blood-borne and uropathogenic microbial pathogens among SARS-CoV-2-infected patients in a COVID-19-(coronavirus disease 2019) dedicated tertiary care hospital in Dhaka, Bangladesh. This was a cross-sectional study. In a COVID-19-dedicated tertiary care hospital in Dhaka, Bangladesh, conducted from March to June 2021.

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This data article provides spatially explicit data on greenhouse gas (GHG) emissions and mitigation potential at various administrative levels for the whole of Bangladesh. The results arising from analysis of this database are presented in research article "Quantifying opportunities for greenhouse gas emissions mitigation using big data from smallholder crop and livestock farmers across Bangladesh" [1]. We collected crop and livestock management data and associated soil and climatic data from variety of primary and secondary sources outlined below in our methodology.

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Climate change is and will continue to have significant implications for agricultural systems. While adaptation to climate change should be the priority for smallholder production systems, adoption of cost-effective mitigation options in agriculture not only contributes to food security but also reduces the extent of climate change and future adaptation needs. Utilizing management data from 16,413 and 12,548 crop and livestock farmers and associated soil and climatic data, we estimated GHG emissions generated from crop and livestock production using crop and livestock models, respectively.

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Objectives: To determine the national prevalence of risk factors of non-communicable diseases (NCD) in the adult population of Bangladesh.

Design: The study was a population-based national cross-sectional study.

Setting: This study used 496 primary sampling units (PSUs) developed by the Bangladesh Bureau of Statistics.

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Background: Widal test is the most widely used laboratory investigation for diagnosis of typhoid. However, the test interpretation remains controversial in the context of endemic regions such as Bangladesh, as agglutination occurs at varied titrations among a large percentage of healthy population. Paired Widal tests are often not feasible; hence single unpaired test has to be used for screening, diagnosis and treatment.

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This paper investigates if climate change skepticism, farmers' fatalistic beliefs, and insurance plan design influence interest in crop weather insurance. While studies of the influence of fatalism on disaster preparedness are common, the ways in which fatalism influences climate change skepticism, and in turn affects farmers' interest in crop insurance, have not been previously investigated. An additional objective was to understand farmers' preferences for index versus standard insurance options, the former entailing damage compensation based on post-hazard assessment, the latter tying damage compensation to a set of weather parameter thresholds.

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Theoretically, weather-index insurance is an effective risk reduction option for small-scale farmers in low income countries. Renewed policy and donor emphasis on bridging gender gaps in development also emphasizes the potential social safety net benefits that weather-index insurance could bring to women farmers who are disproportionately vulnerable to climate change risk and have low adaptive capacity. To date, no quantitative studies have experimentally explored weather-index insurance preferences through a gender lens, and little information exists regarding gender-specific preferences for (and constraints to) smallholder investment in agricultural weather-index insurance.

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