Prediction Model with Validation for Polioseronegativity in Malnourished Children from Poliomyelitis Transmission High-Risk Area of the Democratic Republic of the Congo (DRC).

Background: Malnutrition is identified as a risk factor for insufficient polio seroconversion in the context of a vaccine-derived poliovirus (VDPV) outbreak-prone region. In the Democratic Republic of Congo (DRC), underweight decreased from 31% (in 2001) to 26% (in 2018). Since 2004, VDPV serotype 2 outbreaks (cVDPV2) have been documented and were geographically limited around the Haut-Lomami and Tanganyika Provinces.

PROTOCOL: The use of information and communications technologies (ICT) for contributing to the prevention of, and response to, sexual and gender-based violence against women and children in lower- and middle-income countries: an evidence and gap map.

This is the protocol for the development of a Campbell Collaboration evidence and gaps map (EGM). The primary objective of this evidence and gap map (EGM) is to answer the following question: (1) What is the evidence connected with the use of information and communications technologies (ICT) for preventing and responding to sexual and gender-based violence (SGBV) against women and children in lower- and middle-income countries (LMIC)? (a) the EGM will provide a structured and accessible contextual framework for research to stakeholders and policymakers in SGBV and ICT; (b) the EGM will identify gaps in the available ICT and SGBV evidence; (c) the EGM will identify clusters of evidence suitable for systematic review; and (d) the EGM will look for and build connections between related areas of research in ICT and SGBV. As part of identifying the evidence connected with the use of ICT for preventing and responding to SGBV we seek to answer the following questions based upon the available evidence: (a)Does the use of ICT prevent SGBV against women and children in LMIC?(b)How effective is ICT at improving access to quality services for SGBV survivors in LMIC?(c)Does the use of ICT contribute to effectively achieving intermediate outcomes that lead to the prevention of SGBV against women and children, and/or improving access for SGBV survivors to response services in LMIC?(d)What are the enabling factors associated with the implementation of ICT and SGBV interventions?

The Impact of an mHealth Voice Message Service (mMitra) on Infant Care Knowledge, and Practices Among Low-Income Women in India: Findings from a Pseudo-Randomized Controlled Trial.

Objectives mHealth interventions for MNCH have been shown to improve uptake of antenatal and neonatal services in low- and middle-income countries (LMICs). However, little systematic analysis is available about their impact on infant health outcomes, such as reducing low birth weight or malnutrition among children under the age of five. The objective of this study is to determine if an age- and stage-based mobile phone voice messaging initiative for women, during pregnancy and up to 1 year after delivery, can reduce low birth weight and child malnutrition and improve women's infant care knowledge and practices.

Impacts of e-health on the outcomes of care in low- and middle-income countries: where do we go from here?

E-health encompasses a diverse set of informatics tools that have been designed to improve public health and health care. Little information is available on the impacts of e-health programmes, particularly in low- and middle-income countries. We therefore conducted a scoping review of the published and non-published literature to identify data on the effects of e-health on health outcomes and costs.

Enhancing 'M-health' with south-to-south collaborations.

Partnerships among health care and information technology researchers and designers worldwide are creating mobile health tools tailored to local community needs and resources. Much of the hardware and infrastructure comes from developed countries of the so-called global North. From both these countries as well as developing countries in the global "South" are coming applications that enable health workers to collect and organize data, access diagnostic and treatment support, and promote healthy behavior.