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Burden of diarrhea and antibiotic use among children in low-resource settings preventable by Shigella vaccination: A simulation study

Leveraging data from 1715 children in the MAL-ED birth cohort study, Stephanie A Brennhofer and colleagues model the expected reduction in diarrhea episodes, antibiotic use, and bystander pathogen exposure to antibiotics through the administration of Shigella vaccines.

A multi-country, prospective cohort study to measure rate and risk of relapse among children recovered from severe acute malnutrition in Mali, Somalia, and South Sudan: a study protocol | BMC Nutrition

The Community-Based Management of Acute Malnutrition (CMAM) model transformed the treatment of severe acute malnutrition (SAM) by shifting treatment from inpatient facilities to the community. Evidence shows that while CMAM programs are effective in the initial recovery from SAM, recovery is not sustained for some children requiring them to receive treatment repeatedly. This indicates a potential gap in the model, yet little evidence is available on the incidence of relapse, the determinants of the phenomena, or its financial implications on program delivery. This study is a multi-country prospective cohort study following “post-SAM” children (defined as children following anthropometric recovery from SAM through treatment in CMAM) and matched community controls (defined as children not previously experiencing acute malnutrition (AM)) monthly for six months. The aim is to assess the burden and determinants of relapse to SAM. This study design enables the quantification of r

Pathogens that Cause Illness Clinically Indistinguishable from Lassa Fever, Nigeria, 2018

New weapon in the fight against gastrointestinal disease in informal settlements

 E-Mail Monash University researchers have validated a way to successfully detect a diverse range of bacteria (pathogens) that cause diarrhoeal disease in informal settlements. Better protection from disease for people living in communities facing water, sanitation and hygiene challenges is essential, as microbes that cause gastrointestinal disease (enteropathogens) are responsible for 1.4 million deaths per year, predominantly in children under five, and cause impaired nutrition and development. However, it is highly challenging to effectively monitor their spread due to the sheer number of pathogens and sources involved. Numerous enteropathogens cause diarrhoea and other gastrointestinal diseases, spanning viruses, bacteria, amoeba, and worms, each with distinct characteristics. Moreover, they are spread through complex pathways via human, animal, environmental, and food sources. Traditionally, microbiologists only monitor select pathogens and each source is usually tested sep

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