A large outbreak of hepatitis E occurred in urban Bangladesh during 2008–2009, resulting in increased maternal and neonatal mortality in the affected community. Case-patients who took paracetamol during their illness were more likely to die than other case-patients.

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.

Objectives: To estimate cumulative live birth rates (CLBRs) following repeated assisted reproductive technology (ART) ovarian stimulation cycles, including all fresh and frozen/thaw embryo transfers (complete cycles). Design, setting and participants: Prospective follow‐up of 56 652 women commencing ART in Australian and New Zealand during 2009–2012, and followed until 2014 or the first treatment‐dependent live birth. Main outcome measures: CLBRs and cycle‐specific live birth rates were calculated for up to eight cycles, stratified by the age of the women (< 30, 30–34, 35–39, 40–44, > 44 years). Conservative CLBRs assumed that women discontinuing treatment had no chance of achieving a live birth if had they continued treatment; optimal CLBRs assumed that they would have had the same chance as women who continued treatment. Results: The overall CLBR was 32.7% (95% CI, 32.2–33.1%) in the first cycle, rising by the eighth cycle to 54.3% (95% CI, 53.9–54.7%) (conservative) and 77.2% (95% CI, 76.5–77.9%) (optimal). The CLBR decreased with age and number of complete cycles. For women who commenced ART treatment before 30 years of age, the CLBR for the first complete cycle was 43.7% (95% CI, 42.6–44.7%), rising to 69.2% (95% CI, 68.2–70.1%) (conservative) and 92.8% (95% CI, 91.6–94.0) (optimal) for the seventh cycle. For women aged 40–44 years, the CLBR was 10.7% (95% CI, 10.1–11.3%) for the first complete cycle, rising to 21.0% (95% CI, 20.2–21.8%) (conservative) and 37.9% (95% CI, 35.9–39.9%) (optimal) for the eighth cycle. Conclusion: CLBRs based on complete cycles are meaningful estimates of ART success, reflecting contemporary clinical practice and encouraging safe practice. These estimates can be used when counselling patients and to inform public policy on ART treatment.

Abstract. Acute meningoencephalitis syndrome surveillance was initiated in three medical college hospitals in Bangladesh in October 2007 to identify Japanese encephalitis (JE) cases. We estimated the population-based incidence of JE in the three hospitals' catchment areas by adjusting the hospital-based crude incidence of JE by the proportion of catchment area meningoencephalitis cases who were admitted to surveillance hospitals. Instead of a traditional house-tohouse survey, which is expensive for a disease with low frequency, we attempted a novel approach to identify meningoencephalitis cases in the hospital catchment area through social networks among the community residents. The estimated JE incidence was 2.7/100,000 population in Rajshahi (95% confidence interval [CI] = 1.8-4.9), 1.4 in Khulna (95% CI = 0.9-4.1), and 0.6 in Chittagong (95% CI = 0.4-0.9). Bangladesh should consider a pilot project to introduce JE vaccine in high-incidence areas.

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BackgroundThe International Health Regulations outline core requirements to ensure the detection of public health threats of international concern. Assessing the capacity of surveillance systems to detect these threats is crucial for evaluating a country’s ability to meet these requirements.Methods and FindingsWe propose a framework to evaluate the sensitivity and representativeness of hospital-based surveillance and apply it to severe neurological infectious diseases and fatal respiratory infectious diseases in Bangladesh. We identified cases in selected communities within surveillance hospital catchment areas using key informant and house-to-house surveys and ascertained where cases had sought care. We estimated the probability of surveillance detecting different sized outbreaks by distance from the surveillance hospital and compared characteristics of cases identified in the community and cases attending surveillance hospitals.We estimated that surveillance detected 26% (95% CI 18%–33%) of severe neurological disease cases and 18% (95% CI 16%–21%) of fatal respiratory disease cases residing at 10 km distance from a surveillance hospital. Detection probabilities decreased markedly with distance. The probability of detecting small outbreaks (three cases) dropped below 50% at distances greater than 26 km for severe neurological disease and at distances greater than 7 km for fatal respiratory disease. Characteristics of cases attending surveillance hospitals were largely representative of all cases; however, neurological disease cases aged <5 y or from the lowest socioeconomic group and fatal respiratory disease cases aged ≥60 y were underrepresented.Our estimates of outbreak detection rely on suspected cases that attend a surveillance hospital receiving laboratory confirmation of disease and being reported to the surveillance system. The extent to which this occurs will depend on disease characteristics (e.g., severity and symptom specificity) and surveillance resources.ConclusionWe present a new approach to evaluating the sensitivity and representativeness of hospital-based surveillance, making it possible to predict its ability to detect emerging threats.

BackgroundWe combined hospital-based surveillance and health utilization survey data to estimate the incidence of respiratory viral infections associated hospitalization among children aged < 5 years in Bangladesh.MethodsSurveillance physicians collected respiratory specimens from children aged <5 years hospitalized with respiratory illness and residing in the primary hospital catchment areas. We tested respiratory specimens for respiratory syncytial virus, parainfluenza viruses, human metapneumovirus, influenza, adenovirus and rhinoviruses using rRT-PCR. During 2013, we conducted a health utilization survey in the primary catchment areas of the hospitals to determine the proportion of all hospitalizations for respiratory illness among children aged <5 years at the surveillance hospitals during the preceding 12 months. We estimated the respiratory virus-specific incidence of hospitalization by dividing the estimated number of hospitalized children with a laboratory confirmed infection with a respiratory virus by the population aged <5 years of the catchment areas and adjusted for the proportion of children who were hospitalized at the surveillance hospitals.ResultsWe estimated that the annual incidence per 1000 children (95% CI) of all cause associated respiratory hospitalization was 11.5 (10–12). The incidences per 1000 children (95% CI) per year for respiratory syncytial virus, parainfluenza, adenovirus, human metapneumovirus and influenza infections were 3(2–3), 0.5(0.4–0.8), 0.4 (0.3–0.6), 0.4 (0.3–0.6), and 0.4 (0.3–0.6) respectively. The incidences per 1000 children (95%CI) of rhinovirus-associated infections among hospitalized children were 5 (3–7), 2 (1–3), 1 (0.6–2), and 3 (2–4) in 2010, 2011, 2012 and 2013, respectively.ConclusionOur data suggest that respiratory viruses are associated with a substantial burden of hospitalization in children aged <5 years in Bangladesh.

Background: Depression is a chronic disorder, which often remains undiagnosed. There is a gross lack of evidence-based information about depressive illnesses among adult individuals from rural Bangladesh. Objective: The present study aimed to determine the factors that are associated with depressive illness but remain undiagnosed among rural healthy adult individuals. Methodology: A cross-sectional study was conducted in the Demographic Surveillance System area of rural Mirzapur sub-district, during April to September 2010. A total of 130 apparently healthy individuals [no history of hypertension, cardiovascular diseases, hepatic (serum alanine transaminase; ALT) or renal (serum creatinine) dysfunction; diabetic mellitus (fasting blood sugar)] aged 40 years and above were randomly selected from the DSS database. Level of depression was assessed using 30-item Geriatric Depression Scale. Results: Forty-two percent of the healthy participants were found to have mild depression, 17% were severely depressed. In multivariate analysis, females had a 2.79 [95% CI-0.94-8.26] times higher risk for depression compared to males. Healthy elderly individuals (≥60 years) had a 2.79 [0.94-8.33] times higher risk for depression compared to their middle-aged counterparts (40-59 years). Furthermore, individuals who consumed a vegetable-based diet were at 2.47 [0.85-7.15] times higher risk for depression; individuals with low monthly income were at 2.57 [0.94-7.01] times higher, and those with poor wealth index were 1.55 [1.07-2.25] times more likely to suffer from depression compared to their counterparts after adjusting for vitamin B12, folic acid, ALT, and blood hemoglobin. Conclusion: Healthy elderly individuals from rural Bangladesh were more depressed than middle-aged adults; and females with poor socioeconomic status were at higher risk for depression than males.