This guide is an introduction on how to integrate logistics management information systems (LMIS) with geographic information systems (GIS). It covers the value of integrating these two systems, the steps in assessing if it is currently viable to link the systems, how to set the linkage, the process
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es for using LMIS within a GIS platform, and finally how to sustain the linkage. The aim of this guide is to assist logistics managers, decisionmakers and technical experts in understanding the value of integrating GIS and of the process involved in integrating these two systems.
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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
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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 authors conduct an integrated survey of Antimicrobial Resistant Organisms (AMR) in drinking water, wastewater and surface water in three settings in Bangladesh: rural households, rural poultry farms, and urban food markets. Results show that untreated water discharged from rural households, poul
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try farms and urban markets are major contributors to surface water pollution and antibiotic resistant bacteria genes, calling for increased surveillance and monitoring.
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Objetivos.
Estimar la carga de tuberculosis (TB) en menores de 15 años y describir las características clínico, epidemiológicas y los resultados del tratamiento antituberculoso en Ecuador.
Métodos.
Se realizó un estudio retrospectivo utilizando los datos del programa nacional de TB de los
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años 2015 y 2016. Se estimaron la tasa y el porcentaje de casos de TB infantil y se describieron las características de la enfermedad y el resultado del tratamiento según las categorías de edad: 0-4, 5-9 y 10-14 años.
Resultados.
De los 10 991 casos de TB diagnosticados, 223 (2,03%) fueron menores de 15 años; según la región del país esta carga varió entre 0 y 5,5%. De los 223 casos, en 213 se había registrado el resultado del tratamiento y fueron incluidos en el estudio; 78 (37%) eran menores de 5 años y en 147 (69%) no hubo registro de la investigación de contactos. Sesenta y cinco (68%) de los adolescentes y 40 (51%) de los menores de 5 años tenían diagnóstico de TB pulmonar. La prevalencia de VIH fue 11,5% en los menores 5 años y 6,3% en el grupo de 10-14 años. El tratamiento fue satisfactorio en el 93% de los casos, (curación, 36,6%, tratamiento terminado, 56,8%).
Conclusiones:
Ecuador presenta un alto porcentaje de subdiagnóstico de TB infantil y una carga menor a la esperada, principalmente en menores de 5 años. La alta prevalencia de VIH y la falta de sistematización adecuada de la investigación de contactos en los adolescentes revelan la necesidad de considerar estrategias centradas en la familia y que involucren la capacitación del personal de salud en el manejo del paciente pediátrico centrándose en las necesidades específicas de cada población.
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This study aimed to analyze the geographical distribution of coronavirus disease 2019 (COVID-19) and to identify high-risk areas in space and time for the occurrence of cases and deaths in the indigenous population of Brazil. This is an ecological study carried out between 24 March and 26 October 20
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20 whose units of analysis were the Special Indigenous Sanitary Districts. The Getis-Ord General G and Getis-Ord Gi* techniques were used to verify the spatial association of the phenomena and a retrospective space–time scan was performed. There were 32 041 confirmed cases of COVID-19 and 471 deaths. The non-randomness of cases (z score = 5.40; P < 0.001) and deaths (z score = 3.83; P < 0.001) were confirmed. Hotspots were identified for cases and deaths in the north and midwest regions of Brazil. Sixteen high-risk space–time clusters were identified for the occurrence of cases with a higher RR = 21.23 (P < 0.001) and four risk clusters for deaths with a higher RR = 80.33 (P < 0.001). These clusters were identified from 22 May and were active until 10 October 2020. The results indicate critical areas in the indigenous territories of Brazil and contribute to better directing the actions of control of COVID-19 in this population.
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WHO recently conducted a survey to assess the availability and cost of a national tracer list of essential medicines in the outpatient sector in Ukraine using a new collection tool – the WHO Essential Medicines and Health Products Price and Availability Monitoring Mobile Application. This tool fac
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ilitates rapid and inexpensive data collection at the facility level.
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The World Health Organization (WHO) endorses the use of population-based prevalence surveys for estimating the prevalence of trachoma. In general, the prevalence of TF in children aged 1–9 years and the prevalence of TT in adults aged ≥ 15 years are measured at the same time in any district bein
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g surveyed. This was the approach of the Global Trachoma Mapping Project, which undertook baseline surveys in > 1500 districts worldwide in order to provide the data required to start interventions where needed.
The survey design recommended by WHO is a two-stage cluster random sample survey, which uses probability proportional to size sampling to select 20–30 villages, and random, systematic or quasi-random sampling to select 25–30 households in each of those villages. In most surveys, everyone aged ≥ 1 year living in selected households is examined.
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The World Health Organization (WHO) endorses the use of population-based prevalence surveys for estimating the prevalence of trachoma. In general, the prevalence of TF in children aged 1–9 years and the prevalence of TT in adults aged ≥ 15 years are measured at the same time in any district bein
...
g surveyed. This was the approach of the Global Trachoma Mapping Project, which undertook baseline surveys in > 1500 districts worldwide in order to provide the data required to start interventions where needed.
The survey design recommended by WHO is a two-stage cluster random sample survey, which uses probability proportional to size sampling to select 20–30 villages, and random, systematic or quasi-random sampling to select 25–30 households in each of those villages. In most surveys, everyone aged ≥ 1 year living in selected households is examined.
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Survey report
Four health surveys were performed in Kutupalong Makeshift Settlment (KMS), Balukhali Makeshift Settlement (BMS), Kutupalong Makeshift Settlement Extension (KMS Extension) and Balukhali Makeshift Settlement Extension (BMS Extension). These sites were chosen to ensure that the health
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status and conditions were measured in both the new settlements and the pre-existing settlements. The surveys measured current and retrospective mortality, the main morbidities affecting the population, global and severe acute malnutrition rates, vaccination coverage rates for key antigens and health-seeking behaviour. Simple random sampling was used with a recall period from 25th February 2017 until the date of interview (30th October to 12th November): approximately 260 days.
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WHO published the first COVID-19 Strategic Response and Preparedness Plan (SPRP) on 3 February, 2020. This report highlights the main points of progress that were made up to 30 June 2020 under the three objectives outlined in the SPRP: scaling up international coordination and support; scaling up co
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untry preparedness and response by pillar; and accelerating research and innovation. The report also discusses some of the key challenges faced so far, and provides an update on the resource requirements for the next phase of WHO’s response as part of an unprecedented whole-of-UN approach to the pandemic.
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The APCA Atlas provides the most up-to-date information of palliative care development in nearly all countries in Africa, using indicators derived, rated, and chosen by in-country African experts followed by a thorough Delphi consensus process with a panel of international experts on palliative care
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indicators
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WHO recently conducted a survey to assess the availability and cost of a national tracer list of essential medicines in the outpatient sector in Ukraine using a new collection tool – the WHO Essential Medicines and Health Products Price and Availability Monitoring Mobile Application. This tool fac
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ilitates rapid and inexpensive data collection at the facility level.
more
Analysis with WorldView-3 Data Acquired 07 March 2015
This map illustrates the IDP camp at the UNMISS Protection of Civilian (PoC) area adjacent to the UNMISS base in Bentiu, Rubkona County, Unity State, South Sudan. Using high-resolution optical satellite imagery collected by the WorldView-3 sat
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ellite on 07 March 2015, UNOSAT identified a total of 9,713 structures. Approximately 9,515 of these were classified as tent shelters and 198 as administrative buildings. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
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This map illustrates satellite-detected, potential damaged structures in Muisne, Esmeraldas Province, Ecuador. The analyzed area is located approximately 30 km north of the 16 April 2016 Muisne earthquake mainshock epicenter. This analysis is carried out using Pléiades satellite image acquired 20 A
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pril 2016 and a WorldView-3 image acquired 12 March 2016. UNITAR-UNOSAT identified 450 potentially damaged structures of which 139 are destroyed, 206 severely damaged, and 105 moderately damaged. This map illustrates satellite-detected, potential damaged structures in Muisne, Esmeraldas Province, Ecuador. The analyzed area is located approximately 30 km north of the 16 April 2016 Muisne earthquake mainshock epicenter. This analysis is carried out using Pléiades satellite image acquired 20 April 2016 and a WorldView-3 image acquired 12 March 2016. UNITAR-UNOSAT identified 450 potentially damaged structures of which 139 are destroyed, 206 severely damaged, and 105 moderately damaged. This is a preliminary analysis and not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
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DHS ANALYTICAL STUDIES 62