7% were aged 45 years or older. Overall, the prevalence of lathyrism was 5.5%, and it was higher in males (7.9%) than in females (2.5%). Moreover, the prevalence was higher among farmers (7.0%), very poor economic status (7.2%), those who produce grass pea (9.6%), and those who use clay pottery for cooking (6.2%) than their counterparts. The prevalence of lathyrism in Northeast Ethiopia is remarkably high. Therefore, we recommend lathyrism to be among the list of reportable health problems and incorporated in the national routine surveillance system.Before the COVID-19 pandemic ravaged Africa, a large percentage of Africans were already affected by poverty and food insecurity. The pandemic wreaked havoc on their already unfavorable situation. The direct and indirect impacts of COVID-19 included but not limited to illness and deaths of food systems' workers, interruption of food supply chains, unemployment, depreciation of currency value, and disruption of social protection programs. COVID-19 will lead to further economic fallout. Thus, the situation needs careful observation and timely intervention to safeguard the vulnerable African communities. Although Africa has sought ways to lessen the dire impact of the pandemic on food security, short-term solutions should include and enhance social and economic relief initiatives such as monetary intervention and social safety net. Considering a balance between health benefits of COVID-19 restrictions and their economic implications, the African countries, at the regional level, must preserve open and efficient social protection programs and cross-border supply and distribution networks for agricultural inputs. Africa's medium- and long-term strategies for improving food security should include improving and diversifying its agricultural productivity and production of key food commodities. This will reduce Africa's dependence on importation of these key commodities, and will help the continent address underlying economic vulnerabilities and better manage food, pandemic, and/or health-related crises affecting food security in the long term. Novel approaches to case identification and linkage to antiretroviral therapy (ART) are needed to close gaps in early infant diagnosis (EID) of HIV. Point-of-care (POC) EID is a recent innovation that eliminates the long turnaround times of conventional EID that limit patient management in the inpatient setting. The initial deployment of POC EID in Mozambique focused primarily on outpatient clinics; however, 2 high-volume tier-4 pediatric referral hospitals were also included. To assess the impact of inpatient POC EID, a retrospective review of testing and care data from Hospital Central de Beira (HCB) and Hospital Central de Maputo (HCM) was performed for the period September 2017 to July 2018, with comparison to the 8-month pre-POC period when dried blood spots were used for conventional EID. Monthly testing volume increased from 8.5 tests pre-POC to 17.6 tests with POC ( <.001). Among 511 children with POC testing, the median age was 5 months, there was ongoing breastfeeding in 326 (63.8%), and 1 site for EID and ART initiation that have historically been overlooked in programming for prevention of mother-to-child transmission. POC platforms represent a transformative opportunity to increase inpatient testing, make definitive diagnoses, and improve timely linkage to ART. Scale-up plans should prioritize pediatric wards.[This corrects the article DOI 10.2196/18528.]. COVID-19, caused by SARS-CoV-2, has led to a global pandemic. The World Health Organization has also declared an infodemic (ie, a plethora of information regarding COVID-19 containing both false and accurate information circulated on the internet). Hence, it has become critical to test the veracity of information shared online and analyze the evolution of discussed topics among citizens related to the pandemic. This research analyzes the public discourse on COVID-19. It characterizes risk communication patterns in four Asian countries with outbreaks at varying degrees of severity South Korea, Iran, Vietnam, and India. We collected tweets on COVID-19 from four Asian countries in the early phase of the disease outbreak from January to March 2020. The data set was collected by relevant keywords in each language, as suggested by locals. We present a method to automatically extract a time-topic cohesive relationship in an unsupervised fashion based on natural language processing. The extracted topics were evompares similarities and differences of pandemic-related social media discourse in Asian countries. https://www.selleckchem.com/products/c188-9.html We observed multiple prominent peaks in the daily tweet counts across all countries, indicating multiple issue-attention cycles. Our analysis identified which topics the public concentrated on; some of these topics were related to misinformation and hate speech. These findings and the ability to quickly identify key topics can empower global efforts to fight against an infodemic during a pandemic.This paper aims to provide a perspective on data sharing practices in the context of the COVID-19 pandemic. The scientific community has made several important inroads in the fight against COVID-19, and there are over 2500 clinical trials registered globally. Within the context of the rapidly changing pandemic, we are seeing a large number of trials conducted without results being made available. It is likely that a plethora of trials have stopped early, not for statistical reasons but due to lack of feasibility. Trials stopped early for feasibility are, by definition, statistically underpowered and thereby prone to inconclusive findings. Statistical power is not necessarily linear with the total sample size, and even small reductions in patient numbers or events can have a substantial impact on the research outcomes. Given the profusion of clinical trials investigating identical or similar treatments across different geographical and clinical contexts, one must also consider that the likelihood of a substant policies, processes, and interests, this is the time to advance scientific cooperation and shift the clinical research enterprise toward a data-sharing culture to maximize our response in the service of public health.