Additional file 1: of Immunisation coverage and its determinants among children aged 12-23 months in Atakumosa-west district, Osun State Nigeria: a cross-sectional study

Data set on immunisation coverage survey in Atakumosa west LGA, Osun State Nigeria. (XLS 1246 kb

MOESM2 of Bottlenecks, concerns and needs in malaria operational research: the perspectives of key stakeholders in Nigeria

Additional file 2. Working experience of the study participants on MOR and its associated challenges. A tabular data summarising the study participants’ working experiences and challenges faced while conducting MOR in Nigeria

MOESM1 of Bottlenecks, concerns and needs in malaria operational research: the perspectives of key stakeholders in Nigeria

Additional file 1. Agenda-setting for operational research (national malaria elimination programme). A semi-structured questionnaire used to elicit information on personal biodata, area of expertise, experience in MOR in Nigeria, challenges, bottlenecks in MOR and needs to address the gaps identified

A qualitative exploration of malaria operational research situation in Nigeria

<div><p>Background</p><p>Malaria, remains one of the leading causes of high morbidity and mortality in Nigeria despite implementation of several public health interventions for its control. Operational limitations and methodological gaps have been associated with malaria control interventions and research, and these have necessitated the need for a well-tailored Malaria Operational Research (MOR) agenda. However, there is paucity of evidence-based information on relevant stakeholders’ experience, awareness, perceptions and use of MOR and suggestions on setting MOR agenda. As part of a larger study to provide data for national MOR agenda setting, we assessed the MOR research situation from the perspectives of key stakeholders in Nigeria and contribution of MOR to the malaria elimination agenda</p><p>Methods</p><p>We conducted key informant interviews among 40 purposively selected stakeholders from the six geo-political zones in Nigeria. Data was collected using a pre-tested key informant interview guide which comprised issues related to experience, awareness, use of MOR and MOR needs, and suggestions for MOR. We conducted a detailed content analysis.</p><p>Results</p><p>Half of the participants had participated in MOR. Participants perceived MOR as important. Only few were aware of existing framework for MOR in Nigeria while above half expressed that MOR is yet to be used to inform policy in Nigeria. Participants identified several MOR needs such as development of improved diagnostic techniques, and interventions for promoting early diagnosis, prompt treatment and quality programmatic data. Participants opined the need for country-specific prioritised MOR agenda that cut across malaria thematic areas including malaria prevention and case management. Participants suggested the involvement of various stakeholders and multi-disciplinary approach in setting MOR.</p><p>Conclusion</p><p>Although some stakeholders have been involved in MOR, it is still rarely used to inform policy and several needs exist across thematic areas. A broad-based stakeholder involvement, multi-disciplinary approach to agenda setting and its wide dissemination have been suggested.</p></div

Socio-demographic profile, affiliation, designation and research focus of participants [N = 40].

<p>Socio-demographic profile, affiliation, designation and research focus of participants [N = 40].</p

Screen shot of ODK collect App on mobile phones and ehealth follow up Ebola sense.

<p>Screen shot of ODK collect App on mobile phones and ehealth follow up Ebola sense.</p

Screen shot of web dashboard built with python and git hub using PLSQL Database.

<p>Screen shot of web dashboard built with python and git hub using PLSQL Database.</p

Screen shot of Form Hub page.

<p>Screen shot of Form Hub page.</p

Coverage estimates with third dose of diphtheria-pertussis-tetanus vaccine (DPT3) across 40 local government areas (LGAs), by state–Northern Nigeria, 2014–2015.

<p>LGAs are grouped by state to illustrate variability in coverage across LGAs within the same state. This data is not representative of state-level coverage since LGAs were purposefully selected. Black vertical lines depict 95% confidence intervals. For comparison, administrative coverage for each LGA (source: World Health Organization, Nigeria; DVD-MT data, 2013) is represented with a black dot.</p