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Background: Indian subcontinent being an important region in the fight to eliminate cholera needs better cholera surveillance. Current methods miss most infections, skewing disease burden estimates. Triangulating serosurvey data, clinical cases, and risk factors could reveal India's true cholera risk. Methods: We synthesized data from a nationally representative serosurvey, outbreak reports and risk factors like water, sanitation and the Multidimensional Poverty Index, to create a composite vulnerability index for assessing state-wise cholera risk in India. We tested 7,882 stored sera samples collected during 2017–18 from individuals aged 9–45 years, for vibriocidal antibodies to Vibrio cholerae O1 using a cut-off titre ≥320 defining as elevated titre. We also extracted data from the 2015–19 Integrated Disease Surveillance Programme and published cholera reports. Results: Overall, 11.7% (CI: 10.4–13.3%) of the sampled population had an elevated titre of cholera vibriocidal antibodies (≥320). The Southern region experienced the highest incidence (16.8%, CI: 12.1–22.8), followed by the West (13.2%, CI: 10.0–17.3) and North (10.7%, CI: 9.3–12.3). Proportion of samples with an elevated vibriocidal titre (≥320) was significantly higher among individuals aged 18–45 years (13.0% CI: 11.2–15.1) compared to children 9–17 years (8.6%, CI 7.3–10.0, p<0.05); we found no differences between sex or urbanicity. Between 2015–2019, the Integrated Disease Surveillance Program (IDSP) reported 29,400 cases of cholera across the country. Using the composite vulnerability index, we found Karnataka, Madhya Pradesh, and West Bengal were the most vulnerable states in India in terms of risk of cholera. Conclusion: The present study showed that cholera infection is present in all five regions across India. The states with high cholera vulnerability could be prioritized for targeted prevention interventions. Author summary: Cholera remains a significant public health threat in areas with inadequate water, sanitation, and hygiene (WASH). The World Health Organization's Global Task Force on Cholera Control (GTFCC) launched "Ending Cholera: A Global Roadmap to 2030" to reduce cholera deaths and eliminate the disease in 20 countries by 2030 through targeted interventions, including improved WASH practices and disease surveillance. cholera surveillance, especially in developing countries seldom poses difficulty in terms of the need for laboratory infrastructure, and other resource constraints. Thereby, in this study, we utilized a viable approach with serosurvey data from 2017, cholera outbreak data, WASH indicators, and the Multidimensional Poverty Index (MPI) to create a composite vulnerability index for cholera risk in India. Overall, 11.7% of the sampled population had detectable levels of cholera antibodies reflecting previous infection. The Southern region of India experienced the highest incidence, followed by the West and North. the study showed that cholera infection is present in all five regions across India. Further, the vulnerability index which we built could be utilized in other settings so that effective tailored interventions could be applied in identified priority areas. [ABSTRACT FROM AUTHOR]

Through November 9, 2021, Bangladesh had reported >1.57 million COVID-19 cases and 27,904 deaths (1), with incidence and mortality rates substantially lower than in many other countries. Without performing population-based [...]

Nipah virus Bangladesh (NiVB) is a bat-borne zoonosis transmitted between people through the respiratory route. The risk posed by related henipaviruses, including Hendra virus (HeV) and Nipah virus Malaysia (NiVM), is less clear. We conducted a broad search of the literature encompassing both human infections and animal models to synthesize evidence about potential for person-to-person spread. More than 600 human infections have been reported in the literature, but information on viral shedding was only available for 40 case-patients. There is substantial evidence demonstrating person-to-person transmission of NiVB, and some evidence for NiVM. Less direct evidence is available about the risk for person-to-person transmission of HeV, but animals infected with HeV shed more virus in the respiratory tract than those infected with NiVM, suggesting potential for transmission. As the group of known henipaviruses continues to grow, shared protocols for conducting and reporting from human investigations and animal experiments are urgently needed. [ABSTRACT FROM AUTHOR]

Background Informally trained health care providers, such as village doctors in Bangladesh, are crucial in providing health care services to the rural poor in low-and middle-income countries. Despite being one of the primary vendors of antibiotics in rural Bangladesh, village doctors often have limited knowledge about appropriate antibiotic use, leading to varied and potentially inappropriate dispensing and treatment practices. In this study, we aimed to identify, map, and survey village doctors in the Sitakunda subdistrict of Bangladesh to understand their distribution, practice characteristics, clinical behaviours, access to technologies, and use of these technologies for clinical decision-making. Methods Using a 'snowball' sampling method, we identified and mapped 411 village doctors, with 371 agreeing to complete a structured survey. Results The median distance between a residential household and the closest village doctor practice was 0.37 km, and over half of the practices (51.2%) were within 100 m of the major highway. Village doctors were predominately male (98.7%), with a median age of 39. After completing village doctor training, 39.4% had completed an internship, with a median of 15 years of practice experience. Village doctors reported seeing a median of 84 patients per week, including a median of five paediatric diarrhoea cases per week. They stocked a range of antibiotics, with ciprofloxacin and metronidazole being the most prescribed for diarrhoea. Most had access to phones with an internet connection and used online resources for clinical decision-making and guidance. Conclusions The findings provide insights into the characteristics and practices of village doctors and point to the potential for internet and phone-based interventions to improve patient care and reduce inappropriate antibiotic use in this health care provider group [ABSTRACT FROM AUTHOR]

Emerging zoonoses pose a substantial threat to human health and well-being (1). Some of the most devastating human disease pandemics have been caused by diseases originating in livestock or wildlife, [...]

To the Editor: After an initial serosurvey (1) to understand the prevalence of total antibodies to severe acute respiratory syndrome coronavirus 2 (SARSCoV-2) in residents of the Sitakunda subdistrict was [...]

Despite well-documented evidence that structurally disadvantaged populations are disproportionately affected by infectious diseases, our understanding of the pathways that connect structural disadvantage to the burden of infectious diseases is limited. We propose a conceptual framework to facilitate more rigorous examination and testing of hypothesized mechanisms through which social and environmental factors shape the burden of infectious diseases and lead to persistent inequities. Drawing upon the principles laid out by Link and Phelan in their landmark paper on social conditions (J Health Soc Behav. 1995;(spec no.):80–94), we offer an explication of potential pathways through which structural disadvantage (e.g. racism, sexism, and economic deprivation) operates to produce infectious disease inequities. Specifically, we describe how the social environment affects an individual's risk of infectious disease by 1) increasing exposure to infectious pathogens and 2) increasing susceptibility to infection. This framework will facilitate both the systematic examination of the ways in which structural disadvantage shapes the burden of infectious disease and the design of interventions that can disrupt these pathways. [ABSTRACT FROM AUTHOR]

The authors offer a response to a commentary made by J. Zelner and colleagues on their article "Sociological Imagination and Infectious Disease." Zelner and colleagues highlight the importance of considering structural factors as fundamental causes of disease. The authors offer follow-up points that clarify the reasoning behind their perspective and highlight how failure to consider both frameworks proposed by B. G. Link and J. Phelan limits research and furthers health inequities.

A lack of fine, spatially-resolute case data for the U.S. has prevented the examination of how COVID-19 burden has been distributed across neighborhoods, a known geographic unit of both risk and resilience, and is hampering efforts to identify and mitigate the long-term fallout from COVID-19 in vulnerable communities. Using spatially-referenced data from 21 states at the ZIP code or census tract level, we documented how the distribution of COVID-19 at the neighborhood-level varies significantly within and between states. The median case count per neighborhood (IQR) in Oregon was 3,608 (2,487) per 100,000 population, indicating a more homogenous distribution of COVID-19 burden, whereas in Vermont the median case count per neighborhood (IQR) was 8,142 (11,031) per 100,000. We also found that the association between features of the neighborhood social environment and burden varied in magnitude and direction by state. Our findings underscore the importance of local contexts when addressing the long-term social and economic fallout communities will face from COVID-19.