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Several studies have identified a host of factors to be considered when attempting to reduce food postharvest loss (PHL). However, very few studies have ranked those factors by their importance in driving PHL. This study used the Random Forest model to rank the critical drivers of PHL in maize, mango, and tomato, cultivated in Tanzania, Kenya, and Nigeria, respectively. The study then predicted the maize, mango, and tomato PHLs by changing the levels of the most critical drivers of PHL and the number of farmers at each level. The results indicate that the most critical drivers of PHL consist of pre-harvest and harvest variables in the field, such as the quantity of maize harvested in the maize value chain, the method used to know when to begin mango harvest, and the type of pest that attacks plants in the tomato value chain. Furthermore, changes in the levels of a critical driver and changes in the number of smallholder farmers at a given level both have an impact on PHL, although the impact of the former is much higher than the latter. This study also revealed that the critical drivers of PHL can be categorized as either passive and difficult to manipulate, such as the geographic area within which a smallholder farmer lives, or active and easier to control, such as services provided by the Rockefeller Foundation YieldWise Initiative. Moreover, the affiliation of smallholder farmers to the YieldWise Initiative and a smallholder farmer's geographic location are ubiquitous critical drivers across all three value chains. Finally, an online dashboard was created to allow users to explore further the relationship between several critical drivers, the PHL of each crop, and a desired number of smallholder farmers. [ABSTRACT FROM AUTHOR]

Globally, supplemental immunization activities (SIAs) are known to be a major strategy for attainment of the global measles elimination goal of less than one measles case per million population within a geographic area by the year 2020. Adequate planning is critical to the success of a vaccination campaign. To achieve a quality SIA implementation for effective interruption of measles transmission, the World Health Organization introduced the SIA Readiness Assessment Tool, which includes the readiness dashboard. It is a strategic planning tool used to ensure critical activities are completed before SIAs. Nigeria implemented a phased measles SIA in 2017/2018 and used the readiness assessment tool in the planning for the campaign. In this article, we report the use of the readiness assessment dashboard in the 2017/2018 measles SIA, we also reviewed its contributions to the outcome of the campaign looking at the post campaign coverage survey results for the states. We conducted a retrospective review of the readiness assessment dashboard used during the 2017/2018 measles vaccination campaign in Nigeria. The readiness dashboard tool was designed using Microsoft Excel 2016. We reported results in frequencies and proportions using charts and tables. The states with 100% readiness a week prior to the campaign scored a post campaign coverage survey result of 84.6 – 96.5% with just one out of the eight states in this category getting a score below 90%. In the same vein, of the eight states that their readiness score at one week to the campaign was below 85%, six had post campaign coverage survey score of less than 90% with the highest score in this category being 92.3%. Some states with good readiness scores also had poor post campaign coverage survey which has been attributed to other factors other than readiness. The readiness assessment dashboard for the measles vaccination campaign provided a platform for tracking states readiness. It is our view that a link between readiness assessment and coverage should be examined in future studies. [ABSTRACT FROM AUTHOR]

The RapidSMS is an online database system which was introduced in Nigeria in 2011 as an open source software tool for monitoring birth registration process. The innovation allows real-time tracking of the local government and regional birth registration activities with the core machinery being registration at the local levels. Birth registrars are reporting aggregated numbers and registration disaggregated in four age groups < 1, 1–4, 5–9, 10–17 by sex, geographical location and by registration centre. The center-by-center data collection mechanism reflects the children's population data indicating where birth registration coverage varies substantially between states and in some cases between local government/community setting. The dashboard is helping to identify where non-registered children likely account for some of the most excluded and vulnerable children in Nigerian communities and where rates are often lowest for such children. These statistics are mostly found in rural areas, from poor families and with parents who have minimal or no formal education. The innovation (with its functionality improved on consistent basis) is helping to identify disparities in service delivery and facilitating prompt, evidence-based responses to areas where birth registration levels are low. It is assisting with tracking the trend of registration that will help the country reach the Sustainable Development Goals (SDGs) – birth registration-goal 16.9 by 2030. Specific focus is on how the dashboard is helping to improve data acquisition and analysis including registration coverage and not just registration events. The write up further explores how the RapidSMS is providing a platform for real-time analysis of decentralized birth registration data as an essential information for understanding efficient service delivery, improved local level registration and developing specific solutions where state level analysis and solutions are often too broad. [ABSTRACT FROM AUTHOR]

Nigeria made a coordinated effort to be certified by the World Health Organization's African Region for interrupting endemic transmission of wild poliovirus type-1 (WPV1) in August 2020 as a response to the resurgence of WPV1 cases in August 2016 after going two years without a case. The NEOC Data Working Group (DWG) was instrumental in providing quality and timely surveillance and campaign information for decision-making in order to interrupt WPV1 transmission and provide data toward documentation of its elimination for regional certification. The polio pre-campaign dashboard was used to assess the level of preparedness for Oral Poliovirus Vaccine (OPV) polio supplementary immunization activities (SIA) at three weeks, two weeks, one week, and three days to the start of each campaign implemented during 2016-2020. The administrative tally sheet, independent monitoring survey, and Lot Quality Assurance Sampling (LQAS) survey data collected and shared from the implementation level were analyzed by the EOC DWG to provide information by person, place, and time. Using a 90% threshold in LQAS surveys defining quality SIAs, the proportion of Local Government Areas (LGAs) in Nigeria's states in which post-SIA LQAS surveys were conducted that met this threshold were assessed over time. The highest level of preparedness attained by 3 days to a polio campaign during August 2016-February 2020 was 95% and the lowest attained was 77%. The admin, independent monitoring, and LQAS data analysis results were given to EOC working groups for assessing the performance and quality of each campaign. Twenty-twenty five percent of LGAs that failed LQAS were identified for repeat vaccination. Further, acute flaccid paralysis and environmental surveillance data and laboratory results were analyzed and shared with NEOC and partners. The government and partners used the information generated by the Data Working Group to take evidence-based action including determining the scope of the polio campaign, intensification of surveillance and routine immunization activities, and special intervention activities. On average, 12% of the 774 LGAs were identified as polio high risk LGAs for intervention using selected surveillance, routine immunization (RI), SIAs, and other relevant data sets. National Emergency Operation Centre Data Working Group provided quality and timely information that supported decision-making processes for the polio program in Nigeria. The quality and timely information enabled the NEOC to make evidence-based and timely decisions that contributed to gap identification and decision-making., Competing Interests: The authors declare no competing interests., (©Tesfaye Erbeto et al.)

Introduction: a district health information system 2 tool with a customized routine immunization (RI) module and indicator dashboard was introduced in Kano State, Nigeria, in November 2014 to improve data management and analysis of RI services. We assessed the use of the module for program monitoring and decision-making, as well as the enabling factors and barriers to data collection and use., Methods: a mixed-methods approach was used to assess user experience with the RI data module and dashboard, including 1) a semi-structured survey questionnaire administered at 60 health facilities administering vaccinations and 2) focus group discussions and 16 in-depth interviews conducted with immunization program staff members at the local government area (LGA) and state levels., Results: in health facilities, a RI monitoring chart was used to review progress toward meeting vaccination coverage targets. At the LGA, staff members used RI dashboard data to prioritize health facilities for additional support. At the State level, immunization program staff members use RI data to make policy decisions. They viewed the provision of real-time data through the RI dashboard as a "game changer". Use of immunization data is facilitated through review meetings and supportive supervision visits. Barriers to data use among LGA staff members included inadequate understanding of the data collection tools and computer illiteracy., Conclusion: the routine immunization data dashboard facilitated access to and use of data for decision-making at the LGA, State and national levels, however, use at the health facility level remains limited. Ongoing data review meetings and training on computer skills and data collection tools are recommended., (©Dieula Delissaint Tchoualeu et al.)

Introduction: Nigeria is among the 3 countries in which polio remains endemic. The country made significant efforts to reduce polio transmission but remains challenged by poor-quality campaigns and poor team performance in some areas. This article demonstrates the application of geographic information system technology to track vaccination teams to monitor settlement coverage, reduce the number of missed settlements, and improve team performance., Methods: In each local government area where tracking was conducted, global positioning system-enabled Android phones were given to each team on a daily basis and were used to record team tracks. These tracks were uploaded to a dashboard to show the level of coverage and identify areas missed by the teams., Results: From 2012 to June 2015, tracking covered 119 immunization days. A total of 1149 tracking activities were conducted. Of these, 681 (59%) were implemented in Kano state. There was an improvement in the geographic coverage of settlements and an overall reduction in the number of missed settlements., Conclusions: The tracking of vaccination teams provided significant feedback during polio campaigns and enabled supervisors to evaluate performance of vaccination teams. The reports supported other polio program activities, such as review of microplans and the deployment of other interventions, for increasing population immunity in northern Nigeria., (© 2016 World Health Organization; licensee Oxford Journals.)