Background There is mixed evidence and lack of consensus on the impact of economic development on stunting, and likewise there is a dearth of empirical studies on this relationship in the case of sub-Saharan Africa.  https://www.selleckchem.com/products/jnj-42756493-erdafitinib.html  Thus, this paper examines whether economic growth is associated with childhood stunting in low-income and middle-income sub-Saharan African countries. Methods We analysed data from 89 Demographic and Health Surveys conducted between 1987 and 2016 available as of October 2018 using multivariable multilevel logistic regression models to show the association between gross domestic product (GDP) per capita and stunting. We adjusted the models for child's age, survey year, child's sex, birth order and country random effect, and presented adjusted and unadjusted ORs. Results We included data from 490 526 children. We found that the prevalence of stunting decreased with increasing GDP per capita (correlation coefficient=-0.606, p less then 0.0001). In the unadjusted model for full sample, for every US$10s higher among children from low-income countries, suggesting that households in the poorest quintile were typically the least likely to benefit from economic gains. The findings could serve as a building block needed to modify current policy as per child nutrition-related programmes in Africa. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Introduction In August 2017, a cholera outbreak started in Muna Garage Internally Displaced Persons camp, Borno state, Nigeria and >5000 cases occurred in six local government areas. This qualitative study evaluated perspectives about the emergency response to this outbreak. Methods We conducted 39 key informant interviews and focus group discussions, and reviewed 21 documents with participants involved with surveillance, water, sanitation, hygiene, case management, oral cholera vaccine (OCV), communications, logistics and coordination. Qualitative data analysis used thematic techniques comprising key words in context, word repetition and key sector terms. Results Authorities were alerted quickly, but outbreak declaration took 12 days due to a 10-day delay waiting for culture confirmation. Outbreak investigation revealed several potential transmission channels, but a leaking latrine around the index cases' house was not repaired for more than 7 days. Chlorine was initially not accepted by the community due tooral activities and meetings held at 1600 hours daily. The synergy between partners and government improved when each recognised the government's leadership role. Conclusion Despite a timely alert of the outbreak, delayed laboratory confirmation slowed initial response. Initial responses to the outbreak were not well coordinated but improved with the EOC. Understanding behaviours and community norms through rapid formative research should improve the effectiveness of the emergency response to a cholera outbreak. OCV distribution was efficient and benefited from the polio vaccine infrastructure. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.Introduction Our study aimed to identify factors that influence access to eye care and eye health outcomes for remote Indigenous Australians living with diabetes. Methods In collaboration with Indigenous Community-Based Researchers (CBR) and Aboriginal Community Controlled Health Services (ACCHS), a qualitative, participatory action research approach was taken, drawing on Indigenist and decolonising methodologies. The study was undertaken in four remote communities, in the Katherine region, Northern Territory and north-western New South Wales, Australia. Interviews and focus groups were undertaken with Indigenous adults aged ≥40 years living with diabetes (n=110), and primary care clinicians working in ACCHSs (n=37). A series of interviews with CBRs (n=13) were undertaken before and after data collection to add cultural insights and validation to participant accounts. Data were analysed inductively using grounded theory, in-depth discussion and NVivo V.11. Results More than one-third of all patients had little to no knowledge of how diabetes affects eye health. Limited access to health information and interpreters, language barriers, distrust of health providers and services, and limited cultural responsivity among non-Indigenous clinicians, were identified as determining factors in eye health and care. Discussion We outline a need to address gaps in trust and communication, through increased access to and resourcing of Indigenous language interpreters and cultural brokers, understandable and culturally sensitive diabetic eye health information and cultural responsivity training for non-Indigenous clinicians. Centring Indigenous cultures in healthcare practice will enable a shared understanding between clinicians and Indigenous patients, and subsequently more equitable eye health outcomes. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Objective To assess the extent to which maternal histories of newborn danger signs independently or combined with birth weight and/or gestational age (GA) can capture and/or predict postsecond day (age>48 hours) neonatal death. Methods Data from a cluster-randomised trial conducted in rural Bangladesh were split into development and validation sets. The prompted recall of danger signs and birth weight measurements were collected within 48 hours postchildbirth. Maternally recalled danger signs included cyanosis (any part of the infant's body was blue at birth), non-cephalic presentation (part other than head came out first at birth), lethargy (weak or no arm/leg movement and/or cry at birth), trouble suckling (infant unable to suckle/feed normally in the 2 days after birth or before death, collected 1-month postpartum or from verbal autopsy). Last menstrual period was collected at maternal enrolment early in pregnancy. Singleton newborns surviving 2 days past childbirth were eligible for analysis. Prognostic multivariable models were developed and internally validated.