BMJ Open 2021;11:e042279. doi:10.1136/bmjopen-2020-042279. Neglected tropical diseases tend to cluster in the same poor populations, and to make progress with their control, they will have to be dealt with in an integrated manner. Peptide microarrays may be a solution to tese problems, where diagnos...is for co-infection can be detected simultaneously using the one tool.
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PLoS Negl Trop Dis 16(10): e0009774. Although the practice of communication is often called upon when intervening asn involgvingcommunties affected by NTD's, the disciplinary framewokr of healt communication research has been largely absent from NTD strategies. To illustrate how practices conceptual...ized and developed within the communication field habe been applied in the context of NTD elimination, we conducted a scoping review focusing on two diseases currently targeted for elimination by the WHO: lymphatic filariasis and Chagas disease
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Chagas disease is currently endemic and also predicted to be at increased transmission risk under future climate change scenarios. Similarly, an expansion of areas in the United States at increased risk for Chagas disease transmission is also expected over the next several decades under climate chan...ge scenarios. Of particular interest is the predicted northern shift of triatomine species to central regions of the United States with historically unsuitable climates for T. cruzi vectors. The weight of evidence regarding the influences climate change may pose on T. cruzi vector species distributions demonstrates the sensitivity of Chagas disease transmission to future climate variability. In order to advance forecasts for the impact climate change may have on Chagas disease transmission in the Americas, it is imperative to
further develop, utilize, and perhaps combine predictive species distribution modeling approaches that integrate accurate, long term data on climate variables, vector species distributions, Chagas disease incidence, as well as other socio-ecological variables.
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The application of digital health technology is growing at a rapid rate in Africa, with the goals of improving the delivery of healthcare services and more effectively reaching out to remote and underserved communities. The lack of enabling guidelines and standards across the continent, on the other... hand, makes it difficult to share data in a meaningful way across the continent.
Considering this, Africa Centres for Disease Control and Prevention (Africa CDC) established a task force of 24 members to provide expertise and guidance in the development of AU HIE guidelines and standards. Members of the task force were subject matter experts working in Africa and internationally on the collection, analysis, and exchange of health information. Some of these experts had been involved in previous consultations on defining Africa CDC’s health information systems strategy. A chairperson, co-chairperson, and secretary were elected to engage the task force members in different technical working groups.
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Presentation on WASH in Malawi
“2022 was an eventful year for the WHO Country Office in Ghana,” says Dr Francis Kasolo, WHO Representative to Ghana.
In 2022, WHO Ghana collaborated with partners to deliver interventions in support of the Government of Ghana's health sector agenda to ensure healthy lives for all towards ach...ieving Universal Health Coverage. This 2022 annual report highlights some of the achievements that were chalked in our efforts to help promote the health and wellbeing of Ghanaians
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This publication articulates the WHO Botswana Country Office’s focus and investment needs for the biennium 2022–2023, building on achievements, networks, and partnerships fostered in 2020-2021.
As the leading health authority within the United Nations system in Botswana, the WHO Country Offi...ce has been at the forefront of supporting the government to improve health since 1996. The WHO Country Office supports the Ministry of Health in realizing the health goals the Government of Botswana defines. Acknowledging that as an upper middle-income country, Botswana provides the bulk of its resources for implementing health programmes, the WHO directly brings technical expertise to the table by collaborating with relevant partners. Where the country office has limitations in terms of human resources with the requisite expertise to answer the country’s needs, the regional level and headquarters of the WHO will be mobilized to provide the necessary support.
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This report presents findings from research conducted by Economist Impact to assess the health, demographic, social and economic impacts associated with different scenarios for financing the HIV epidemic across 13 selected countries in Sub-Saharan Africa. The sponsorship of UNAIDS towards this repor...t is gratefully acknowledged. However, the findings and ideas expressed herein represent those of Economist Impact. They do not necessarily reflect the views and opinions of UNAIDS, nor do they engage the responsibility of UNAIDS.
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The Global Action Plan for Healthy Lives and Well-being for All (SDG3 GAP) is a set of commitments by 13 multilateral agencies to strengthen their collaboration. For this purpose several accelerators were created and an invitation for public comment was started. This document focuses on Accelerator ...Discussion Paper 1: Sustainable Financing.
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Since 2002 the distribution of external funding to reproductive, maternal, newborn, and child health (RMNCH) has become more equitable and better targeted at the poorest countries and those experiencing the highest mortality. The aid envelope is not large enough or well enough concentrated to close ...gaps in domestic government fund ing between the poorest and middle income countries. Donors and governments of low and middle income countries should increase their investments for RMNCH . Donors should further concentrate their funds on the poorest countries and those with the highest maternal, newborn, and child mortality. Investment is also needed to close serious data and methodological gaps for assessing equity of financing between and within countries
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The cholera outbreak has affected 14 countries in the WHO African Region. The climate-induced natural disasters such as cyclone and flooding in the southern African region and drought in the Horn of Africa led to increase in cases of cholera in many of the affected countries. With the rainy season c...ommencement in the west African region there is risk of more cholera outbreaks on the horizon. The trend across the region is being closely monitored and this highlights the need for Member States to enhance readiness, heighten surveillance and institute preventive and control measures in communities and around border crossings to prevent and mitigate cross border infection. Since 1 January 2022, a cumulative number of 213 443 cholera cases has been reported to the WHO Regional Office for Africa (AFRO), including 3 951 deaths with a case fatality ratio (CFR) of 1.9% as of 16 July 2023 (Table 1). Malawi accounts for 28% (58 941) of the total cases and 45% (1 766) of all deaths reported, and together with Cameroon, Democratic Republic of the Congo, Mozambique, and Nigeria contribute to 85% (181 300) of the overall caseload and 88% (3 464) of cumulative deaths. In Epidemiologic week 28, six countries Burundi, Cameroon, Ethiopia, Kenya, Malawi and Mozambique reported a total of 667 new cases.
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The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr...ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
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The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr...ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
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The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr...ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
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The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr...ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
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The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr...ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
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The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr...ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
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The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr...ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
more
The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr...ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
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I examine the effectiveness of donors in targeting the highest burden of malaria in the Democratic Republic of Congo when health information structure is fragmented. I exploit local variations in the burden of malaria induced by mining activities as well as financial and epidemiological data from he...alth facilities to estimate how local aid is matching local health needs. Using a regression discontinuity design, I find significant but quantitatively small variations in aid to health facilities located within mining areas. Comparing local aid with the additional cost of treatment and prevention associated with the increased risk of malaria transmission, I find suggestive evidence that local populations with the highest burden of the disease receive a proportionately lower share of aid compared to neighbouring areas with reduced exposure to malaria infection. The evidence of disparities in the allocation of aid for malaria supports the view that donors may have inaccurate information about local population needs.
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