Notes

Bilateral Intense Optic Perineuritis Associated With COVID-19 within a Affected individual Using Seronegative Myelin Oligodendrocyte Glycoprotein (MOG) Antibody.
The increasing demand for more testing globally can benefit from application of pooling, especially in resource-restrained situations of the low- and middle-income countries or situations of high testing demand. Singular testing in situations of low prevalence should be systematically discouraged.
The increasing demand for more testing globally can benefit from application of pooling, especially in resource-restrained situations of the low- and middle-income countries or situations of high testing demand. Singular testing in situations of low prevalence should be systematically discouraged.
Multiple masculinities have been explicated through latent class analysis (LCA) in South Africa, and a question arises as to whether men can be similarly grouped by their behaviour in very different cultural contexts, and whether an analysis would point to similar origins to men's use of violence against women. The UN Multi-country Study on Men and Violence in Asia and the Pacific's data set enabled this question to be explored.

In nine sites in six countries, data were collected from one man (18-49 years) interviewed in each of a random sample of households. Using LCA, we categorised men based on their probability of having engaged in 10 acts of violence against women or other illegal or sexually risky behaviour. We present multinomial logistic regression models of factors associated with class membership and associated childhood and trauma experiences.

The LCA model with 5 classes fitted best the largest class (59.5% of men) had the lowest probabilities of engagement in the class-defining acts; men ine (intersectional) developmental processes transcend culture and setting. We need to prevent children's exposure to violence, and in gender transformative work with men, recognise and address past and present psychological distress stemming from trauma experience.
Closely paralleling the South African findings, we have highlighted the childhood origins of men's violent and anti-social behaviour, as well as the interrelationships with men's mental health, poverty and misogyny, showing that these (intersectional) developmental processes transcend culture and setting. We need to prevent children's exposure to violence, and in gender transformative work with men, recognise and address past and present psychological distress stemming from trauma experience.
Children in lower middle-income countries (LMICs) are more at risk of dying, than those in High Income Countries (HICs), due to highly prevalent deadly yet preventable childhood infections. Alongside concerns about the incidence of these infections, there has been a renewed interest in involving community health workers (CHWs) in various public health programs. However, as CHWs are increasingly asked to take on different tasks there is a risk that their workload may become unmanageable. One solution to help reduce this burden is the use of mobile health (mHealth) technology in the community through behaviour change. Considering there are various CHWs based mHealth approaches on illness management and education, therefore, we aimed to appraise the available literature on effectiveness of these mHealth approaches for caregivers to improve knowledge and management about common under-five childhood infections with respect to behaviour change.

We searched six databases between October to December 2019 using sus employed the use of any behaviour change model or any theoretical framework for selection of models in their studies.

Coupling mhealth with CHWs has the potential to benefit communities in improving management of illnesses in children under-five. High quality evidence on impact of such interventions on behaviour is relatively sparse and further studies should be conducted using theoretically informed behaviour change frameworks/models.

PROPSERO Registration number CRD42018117679.
PROPSERO Registration number CRD42018117679.
Statistical models are increasingly being used to estimate and project the prevalence and burden of asthma. Given substantial variations in these estimates, there is a need to critically assess the properties of these models and assess their transparency and reproducibility. We aimed to critically appraise the strengths, limitations and reproducibility of existing models for estimating and projecting the global, regional and national prevalence and burden of asthma.

We undertook a systematic review, which involved searching Medline, Embase, World Health Organization Library and Information Services (WHOLIS) and Web of Science from 1980 to 2017 for modelling studies. Two reviewers independently assessed the eligibility of studies for inclusion and then assessed their strengths, limitations and reproducibility using pre-defined quality criteria. Data were descriptively and narratively synthesised.

We identified 108 eligible studies, which employed a total of 51 models 42 models were used to derive nationa models used to derive these estimates lack the required reproducibility. There is a need for better-constructed models for estimating and projecting the prevalence and disease burden of asthma and a related need for better reporting of models, and making data and code available to facilitate replication.
Whilst global, regional and national estimates of asthma prevalence and burden continue to inform health policy and investment decisions on asthma, most models used to derive these estimates lack the required reproducibility. There is a need for better-constructed models for estimating and projecting the prevalence and disease burden of asthma and a related need for better reporting of models, and making data and code available to facilitate replication.
To infer relationships between populations of the semi-arid, mallee eucalypt,
, to build hypotheses regarding evolution of major disjunctions in the species' distribution and to expand understanding of the biogeographical history of southeastern Australia.

Southeastern Australia.

(Myrtaceae, Angiospermae).

We developed a large dataset of anonymous genomic loci for 97 samples from 11 populations of
using double digest restriction site-associated DNA sequencing (ddRAD-seq), to determine genetic relationships between the populations. These relationships, along with species distribution models, were used to construct hypotheses regarding environmental processes that have driven fragmentation of the species' distribution.

Greatest genetic divergence was between populations on either side of the Lower Murray Basin. see more Populations west of the Basin showed greater genetic divergence between one another than the eastern populations. The most genetically distinct population in the east (Long Forest) was separated from others by the Great Dividing Range.
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