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Background Among 13 endemic districts, the Chittagong Hill Tracts bear more than 90% of Bangladesh’s malaria burden. Despite the private sector’s prominence in rural healthcare, its role in malaria management remains underutilized. This study aimed to strategize leveraging the for-profit private sector, such as diagnostic and treatment centers, to bolster national malaria surveillance and control, advancing Bangladesh toward malaria elimination by 2030. Methods This mixed-method study commenced with a questionnaire-based cross-sectional survey followed by selected focused group discussions (FGDs) among the participants. Three FGDs were held with the for-profit service providers so that further insights and qualitative viewpoints of them can be utilized in situation analysis. Based on the endemicity and strategic priorities, a comprehensive mapping of private for-profit facilities from the regions comprising 15 sub-districts across 8 chosen districts (7 malaria endemic districts and the rest non-endemic districts) was created. For the non-endemic zone, the sub-districts were selected based on their proximity to an area with high malaria transmission. Results Among the 104 representative participants, majority were male ( n  = 92, 88.5%), had a diploma in their respective fields ( n  = 53, 51%) and were involved either in laboratory work ( n  = 49, 47.1%) or as owners/managers of health centers ( n  = 41, 39.4%). The selected health facilities were close to the corresponding Upazila Health Complexes (mean distance 2.8 km), but were distantly located from the designated district hospitals (mean distance 48.9 km). The main sources of RDT kits (62.3%) and anti-malarial drugs (63.2%) were local wholesale markets. A large share of the corresponding facilities neither provided malaria treatment services (81.7%) nor worked with the NMEP (93.3%). Conclusions This study highlights challenges and recommendations for engaging private for-profit health facilities in Bangladesh’s malaria elimination efforts. The identified challenges include low-quality RDTs, staff shortages, and inadequate capacity building. Recommendations emphasize effective training, stakeholder interaction, and enhanced oversight for successful malaria control efforts.

Primaquine and tafenoquine are the only licensed drugs with activity against Plasmodium vivax hypnozoites but cause haemolysis in patients with glucose–6–phosphate dehydrogenase (G6PD) deficiency. Malaria also causes haemolysis, leading to the replacement of older erythrocytes with low G6PD activity by reticulocytes and young erythrocytes with higher activity. Aim of this study was to assess the impact of acute malaria on G6PD activity. Selected patients with uncomplicated malaria were recruited in Bangladesh (n = 87), Indonesia (n = 75), and Ethiopia (n = 173); G6PD activity was measured at the initial presentation with malaria and a median of 176 days later (range 140 to 998) in the absence of malaria. Among selected participants (deficient participants preferentially enrolled in Bangladesh but not at other sites) G6PD activity fell between malaria and follow up by 79.1% (95%CI: 40.4 to 117.8) in 6 participants classified as deficient (<30% activity), 43.7% (95%CI: 34.2 to 53.1) in 39 individuals with intermediate activity (30% to <70%), and by 4.5% (95%CI: 1.4 to 7.6) in 290 G6PD normal (≥70%) participants. In Bangladesh and Indonesia G6PD activity was significantly higher during acute malaria than when the same individuals were retested during follow up (40.9% (95%CI: 33.4–48.1) and 7.4% (95%CI: 0.2 to 14.6) respectively), whereas in Ethiopia G6PD activity was 3.6% (95%CI: -1.0 to -6.1) lower during acute malaria. The change in G6PD activity was apparent in patients presenting with either P . vivax or P . falciparum infection. Overall, 66.7% (4/6) severely deficient participants and 87.2% (34/39) with intermediate deficiency had normal activities when presenting with malaria. These findings suggest that G6PD activity rises significantly and at clinically relevant levels during acute malaria. Prospective case-control studies are warranted to confirm the degree to which the predicted population attributable risks of drug induced haemolysis is lower than would be predicted from cross sectional surveys.

Bangladesh has a warm climate and landscapes favourable for the proliferation of mosquitoes. Mosquito-borne pathogens including malaria and arthropod-borne viruses (arboviruses) remain a serious threat to the public health requiring constant vector control and disease surveillance. From November 2018 to April 2019, Anopheles mosquitoes were collected in three unions in the Ramu Upazila (sub-district) of Cox’s Bazar District, Bangladesh. The mosquito specimens were combined into pools based on date of collection, household ID, and sex. Metagenome next-generation sequencing was conducted to elucidate diversity of virus sequences in each pool. Homology-based taxonomic classification and phylogenetic analyses identified a broad diversity of putative viruses from 12 known families, with additional unclassified viruses also likely present. Analysis of male mosquitoes showed some of these viruses are likely capable of being vertically transmitted. Moreover, many of the assembled virus sequences share homology and phylogenetic affinity with segments in sequenced Anopheles genomes, and may represent endogenous viral elements derived from a past evolutionary relationship between these putative viruses and their mosquito hosts.

More than 200 million malaria clinical cases are reported each year due to Plasmodium vivax, the most widespread Plasmodium species in the world. This species has been neglected and understudied for a long time, due to its lower mortality in comparison with Plasmodium falciparum. A renewed interest has emerged in the past decade with the discovery of antimalarial drug resistance and of severe and even fatal human cases. Nonetheless, today there are still significant gaps in our understanding of the population genetics and evolutionary history of P. vivax, particularly because of a lack of genetic data from Africa. To address these gaps, we genotyped 14 microsatellite loci in 834 samples obtained from 28 locations in 20 countries from around the world. We discuss the worldwide population genetic structure and diversity and the evolutionary origin of P. vivax in the world and its introduction into the Americas. This study demonstrates the importance of conducting genome-wide analyses of P. vivax in order to unravel its complex evolutionary history.

Background Information related to malaria vectors is very limited in Bangladesh. In the changing environment and various Anopheles species may be incriminated and play role in the transmission cycle. This study was designed with an intention to identify anopheline species and possible malaria vectors in the border belt areas, where the malaria is endemic in Bangladesh. Methods Anopheles mosquitoes were collected from three border belt areas (Lengura, Deorgachh and Matiranga) during the peak malaria transmission season (May to August). Three different methods were used: human landing catches, resting collecting by mouth aspirator and CDC light traps. Enzyme-linked immunosorbent assay (ELISA) was done to detect Plasmodium falciparum , Plasmodium vivax -210 and Plasmodium vivax -247 circumsporozoite proteins (CSP) from the collected female species. Results A total of 634 female Anopheles mosquitoes belonging to 17 species were collected. Anopheles vagus (was the dominant species (18.6%) followed by Anopheles nigerrimus (14.5%) and Anopheles philippinensis (11.0%). Infection rate was found 2.6% within 622 mosquitoes tested with CSP-ELISA. Eight (1.3%) mosquitoes belonging to five species were positive for P. falciparum , seven (1.1%) mosquitoes belonging to five species were positive for P. vivax -210 and a single mosquito (0.2%) identified as Anopheles maculatus was positive for P. vivax -247. No mixed infection was found. Highest infection rate was found in Anopheles karwari (22.2%) followed by An. maculatus (14.3%) and Anopheles barbirostris (9.5%). Other positive species were An. nigerrimus (4.4%), An. vagus (4.3%), Anopheles subpictus (1.5%) and An. philippinensis (1.4%). Anopheles vagus and An. philippinensis were previously incriminated as malaria vector in Bangladesh. In contrast, An. karwari , An. maculatus , An. barbirostris , An. nigerrimus and An. subpictus had never previously been incriminated in Bangladesh. Conclusion Findings of this study suggested that in absence of major malaria vectors there is a possibility that other Anopheles species may have been playing role in malaria transmission in Bangladesh. Therefore, further studies are required with the positive mosquito species found in this study to investigate their possible role in malaria transmission in Bangladesh.

Solar geoengineering is often framed as a stopgap measure to decrease the magnitude, impacts, and injustice of climate change. However, the benefits or costs of geoengineering for human health are largely unknown. We project how geoengineering could impact malaria risk by comparing current transmission suitability and populations-at-risk under moderate and high greenhouse gas emissions scenarios (Representative Concentration Pathways 4.5 and 8.5) with and without geoengineering. We show that if geoengineering deployment cools the tropics, it could help protect high elevation populations in eastern Africa from malaria encroachment, but could increase transmission in lowland sub-Saharan Africa and southern Asia. Compared to extreme warming, we find that by 2070, geoengineering would nullify a projected reduction of nearly one billion people at risk of malaria. Our results indicate that geoengineering strategies designed to offset warming are not guaranteed to unilaterally improve health outcomes, and could produce regional trade-offs among Global South countries that are often excluded from geoengineering conversations. Solar geoengineering, an emergency climate intervention, could shift one billion people back into areas of malaria risk. Regional tradeoffs and potential adverse outcomes point to the need for health sector planning with Global South leadership.

Dengue, a viral infection transmitted by Aedes species mosquitoes, presents a substantial global public health concern, particularly in tropical regions. In Bangladesh, where dengue prevalence is noteworthy, accurately mapping the distribution of high-risk and low-risk areas and comprehending the clustering of dengue cases throughout the year is essential for the development of effective risk-based prevention and control strategies. Our objective was to identify dengue hotspots and temporal patterns over the years across Bangladesh in the years 2019-2023 excluding year 2020. A sequential spatial analysis was employed for each year to identify high-risk areas for dengue cases. Choropleth graphs were used to visualize the geographic distribution of dengue incidence rates per million population across the areas. Monthly distribution analysis was performed to identify temporal trends over the year 2022 and 2023. Additionally, the global Moran's I test was used to assess the overall geographical pattern. Subsequently, Anselin local Moran's I test was employed to identified clustering and hotspots of dengue incidences. Dengue cases in Bangladesh exhibited a significant increase from 2019 to 2023 (excluding 2020 data), with a cumulative total of 513,344 reported cases. Dhaka city initially bore substantial burden, accounting for over half (51%) of the 101,354 cases in 2019. The case fatality rate also demonstrated a steadily rise, reaching 0.5% in 2023 with 321,179 cases (a five-fold increase compare to 2022). Interestingly, the proportion of cases in Dhaka city decreased from 51% in 2019 to 34% in 2023. Notably, the southeast and central regions of Bangladesh showed the highest dengue rates, persisting throughout the study period. Cases were concentrated in urban regions, with Dhaka exhibiting the highest caseload in most years, followed by Manikganj in 2023. A distinct temporal shift in dengue transmission was observed in 2023, when the peak incidence occurred three months earlier in July with complete geographic coverage (all the 64 districts) compared to the peak in October 2022 (covering 95%, 61 districts). Positive global autocorrelation analysis revealed spatial dependence, with more stable trends in 2023 compared to previous years. Several districts like, Bagerhat, Barisal, and Faridpur remained persistent hotspots or emerged as new hotspots in 2023. Conversely, districts like Dinajpur, Gaibandha, Nilphamari, Rangpur and Sylhet consistently exhibited low caseloads, categorized as dengue coldspots throughout most of the years. Jhalokati in 2019 and Gopalganj in 2022, both initially classified as low-incidence district surrounded by high-incidence districts, emerged as hotspots in 2023. This study sheds light on the spatiotemporal dynamics of dengue transmission in Bangladesh, particularly by identifying hotspots and clustering patterns. These insights offer valuable information for designing and implementing targeted public health interventions and control strategies. Furthermore, the observed trends highlight the need for adaptable strategies to address the region's evolving nature of dengue transmission effectively.

Glucose-6-Phosphate dehydrogenase (G6PD) deficiency is the most common enzymopathy worldwide, no reliable bedside diagnostic tests to quantify G6PD activity exist. This study evaluated two novel quantitative G6PD diagnostics. Participants with known G6PD activity were enrolled in Bangladesh. G6PD activity was measured by spectrophotometry, Biosensor (BS; AccessBio/CareStart, USA) and STANDARD G6PD (SG; SDBiosensor, ROK). G6PD activity was measured repeatedly in a subset of samples stored at room temperature and 4°C. 158 participants were enrolled, 152 samples tested by BS, 108 samples by SG and 102 samples were tested by all three methods. In comparison to spectrophotometry BS had sensitivity and specificity of 72% (95%CI: 53-86) and 100% (95%CI: 97-100) at 30% cut off respectively, while SG had a sensitivity of 100% (95%CI: 88-100) and specificity of 97% (95%CI: 91-99) at the same cut off. The sensitivity and specificity at 70% cut off activity were 71% (95%CI: 59-82) and 98% (95%CI, 92-100) respectively for BS and 89% (95%CI: 77-96) and 93% (95%CI: 83-98) respectively for SG. When an optimal cut-off was applied the sensitivity of the BS at 70 cut off rose to 91% [95%CI: 80-96] and specificity to 82% [95%CI: 83-89]; a diagnostic accuracy comparable to that of the SG (p = 0.879). G6PD activity dropped significantly (-0.31U/gHb, 95%CI: -0.61 to -0.01, p = 0.022) within 24 hours in samples stored at room temperature, but did not fall below 90% of baseline activity until day 13 (-0.87U/gHb, 95%CI: (-1.11 to -0.62), p<0.001). BS and SG are the first quantitative diagnostics to measure G6PD activity reliably at the bedside and represent suitable alternatives to spectrophotometry in resource poor settings. If samples are stored at 4°C, G6PD activity can be measured reliably for at least 7 days after sample collection.

Serostudies are needed to answer generalizable questions on disease risk. However, recruitment is usually biased by age or location. We present a nationally-representative study for dengue from 70 communities in Bangladesh. We collected data on risk factors, trapped mosquitoes and tested serum for IgG. Out of 5866 individuals, 24% had evidence of historic infection, ranging from 3% in the north to >80% in Dhaka. Being male (aOR:1.8, [95%CI:1.5–2.0]) and recent travel (aOR:1.3, [1.1–1.8]) were linked to seropositivity. We estimate that 40 million [34.3–47.2] people have been infected nationally, with 2.4 million ([1.3–4.5]) annual infections. Had we visited only 20 communities, seropositivity estimates would have ranged from 13% to 37%, highlighting the lack of representativeness generated by small numbers of communities. Our findings have implications for both the design of serosurveys and tackling dengue in Bangladesh. Dengue is a mosquito-borne virus that infects millions of people each year. Often the countries most affected by the virus, such as Bangladesh, do not have the resources needed to tackle the disease. For resources sent to these countries to have the greatest impact, it is important to know which areas are most affected, and which subsets of the population are most at risk. A way to gather this information is to test for dengue virus antibodies a protein produced by the immune system in response to the infection in the blood of individuals. However, previous efforts to use these tests to understand dengue risk in communities have generally only been done in single locations, typically a major city, and the findings of these tests are unlikely to be applicable to the wider population. Now, Salje et al. have visited 70 different communities from all around Bangladesh and used these tests on blood samples collected from over 5,000 individuals from a range of age-groups. From these measurements it was estimated that an average 2.4 million people are infected with dengue each year in Bangladesh, with major cities, such as Dhaka, experiencing more concentrated levels. The exposure to dengue outside major cities was much lower, and men, who tend to travel more, were found to be at greater risk of infection. Salje et al. also showed that using a small number of communities to estimate national levels of infection led to misleading results. This highlights the danger of using information collected from a limited number of places to represent the effects of a disease on the wider population. Public health agencies in Bangladesh will be able to use this information to tackle dengue more effectively, focusing on the areas and the populations most affected by the disease. In addition, the design and analytical approaches used in this study could be applied to other countries, and to different diseases.

Background Dengue fever poses an extreme public health risk in the tropical and subtropical zones around the world. Prompt and correct diagnosis is critical for dengue case management and control. Dengue NS1 antigen detection is the basic diagnostic method for dengue. Although PCR is the gold standard for detecting dengue, it is expensive, equipment-intensive, and requires skilled personnel posing major challenges for many healthcare facilities. A rapid and affordable diagnostic method for dengue is essential to address these limitations. Methods This study examine the clinical performance of OnSite ® Dengue Ag Rapid Test (developed by CTK Biotech Inc., Poway, CA, USA) utilizing 316 symptomatic patients from three outreach centers of icddr, b diagnostic unit of Dhaka, Bangladesh. RT-PCR was used as the gold standard and Bioline™ Dengue NS1 Ag (developed by Abbott Laboratories, Illinois, U.S.) was used as comparator. Results The Overall sensitivity and specificity of OnSite ® Dengue Ag Rapid Test were 96.93% (95% CI: 95.03%- 98.83%) and 99.35% (95% CI: 98.46-100.23%) respectively against RT-PCR. These values were slightly higher than those of comparator device, which demonstrated sensitivity and specificity of 93.87% (95% CI: 91.22%-96.51%) and 96.73% (95% CI: 94.77%-98.69%) respectively. Between two and five days following the onset of fever, the RDT kit can detect patients and is able to detect dengue NS1 even in samples with very low viral load (high RT-PCR Ct values ≤ 36.96), indicating its high sensitivity and accuracy. Conclusions OnSite ® Dengue Ag Rapid Test demonstrated substantial potential for clinical diagnosis of symptomatic dengue patients, providing a fast, cheap and reliable detection method. Its simplicity, ease of use and minimal equipment requirements make it highly suitable for use in diverse healthcare settings, particularly in resource-limited areas around the world.