Evidence map›Paper›PMID 32357933›Full record

ArticleBMC public health2020

A rapid assessment of the implementation of integrated disease surveillance and response system in Northeast Nigeria, 2017.

Luka Mangveep Ibrahim, Mary Stephen, Ifeanyi Okudo, Samuel Mutbam Kitgakka, Ibrahim Njida Mamadu, Isha Fatma Njai, Saliu Oladele, Sadiq Garba, Olubunmi Ojo, Chikwe Ihekweazu and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 3 countries.

Luka Mangveep IbrahimWorld health Organization, Rivers House, #83 Ralph Shodeinde Street, Abuja, Nigeria. ibrahiml@who.int.
Mary StephenWHO Africa Regional Office, Brazzaville, Congo.
Ifeanyi OkudoWorld health Organization, Rivers House, #83 Ralph Shodeinde Street, Abuja, Nigeria.
Samuel Mutbam KitgakkaWorld health Organization, Rivers House, #83 Ralph Shodeinde Street, Abuja, Nigeria.
Ibrahim Njida MamaduWorld health Organization, Rivers House, #83 Ralph Shodeinde Street, Abuja, Nigeria.
Isha Fatma NjaiWorld health Organization, Rivers House, #83 Ralph Shodeinde Street, Abuja, Nigeria.
Saliu OladeleWorld health Organization, Rivers House, #83 Ralph Shodeinde Street, Abuja, Nigeria.
Sadiq GarbaNigerian Center for Disease Control, Jabi, Abuja, Nigeria.
Olubunmi OjoNigerian Center for Disease Control, Jabi, Abuja, Nigeria.
Chikwe IhekweazuNigerian Center for Disease Control, Jabi, Abuja, Nigeria.
Clement Lugala Peter LasubaWorld health Organization, Rivers House, #83 Ralph Shodeinde Street, Abuja, Nigeria.
Ali Ahmed YahayaWHO Africa Regional Office, Brazzaville, Congo.
Peter NsubugaGlobal Public Health Solutions, Atlanta, GA, USA.
Wondimagegnehu AlemuInternational Health Consultancy, Atlanta, GA, USA.
World Health Organization - Nigeria · NGNigeria Centre for Disease Control · NGWorld Health Organization Regional Office for Africa · CGPublic Health Solutions · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntegrated disease surveillance and response (IDSR) is the strategy adopted for public health surveillance in Nigeria. IDSR has been operational in Nigeria since 2001 but the functionality varies from state to state. The outbreaks of cerebrospinal meningitis and cholera in 2017 indicated weakness in the functionality of the system. A rapid assessment of the IDSR was conducted in three northeastern states to identify and address gaps to strengthen the system.

methodThe survey was conducted at the state and local government areas using standard IDSR assessment tools which were adapted to the Nigerian context. Checklists were used to extract data from reports and records on resources and tools for implementation of IDSR. Questionnaires were used to interview respondents on their capacities to implement IDSR. Quantitative data were entered into an MS Excel spreadsheet, analysed and presented in proportions. Qualitative data were summarised and reported by thematic area.

resultsA total of 34 respondents participated in the rapid survey from six health facilities and six local government areas (LGAs). Of the 2598 health facilities in the three states, only 606 (23%) were involved in reporting IDSR. The standard case definitions were available in all state and LGA offices and health facilities visited. Only 41 (63%) and 31 (47.7%) of the LGAs in the three states had rapid response teams and epidemic preparedness and response committees respectively. The Disease Surveillance and Notification Officers (DSNOs) and clinicians' knowledge were limited to only timeliness and completeness among over 10 core indicators for IDSR. Review of the facility registers revealed many missing variables; the commonly missed variables were patients' age, sex, diagnosis and laboratory results.

conclusionsThe major gaps were poor documentation of patients' data in the facility registers, inadequate reporting tools, limited participation of health facilities in IDSR and limited capacities of personnel to identify, report IDSR priority diseases, analyze and interpret IDSR data for decision making. Training of surveillance focal persons, provision of IDSR reporting tools and effective supportive supervisions will strengthen the system in the country.

Indexed as

Communicable Disease ControlDisaster PlanningDisease OutbreaksEpidemicsHumansNeeds AssessmentNigeriaPopulation SurveillancePublic Health SurveillanceSurveys and QuestionnairesImplementationIntegrated disease surveillance and responseNigeriaRapid assessment

Identifiers

PMID32357933
PMCPMC7195793
OpenAlexW3020900849

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.