Evidence map›Paper›PMID 31404290›Full record

ArticleThe Pan African medical journal2019

Rapid response to meningococcal disease cluster in Foya district, Lofa County, Liberia January to February 2018.

Julius Monday Rude, Lavele Kortimai, Fallah Mosoka, Baller April, Mouhamoud Nuha, Victoria Katawera, Thomas Nagbe, Alpha Tamba, Williams Desmound, Richard Mulbah and 10 more

Open access · goldAbstract read
In one paragraph

Article in The Pan African medical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
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

20 authors at 5 institutions in 4 countries.

Julius Monday RudeWorld Health Organization, Monrovia, Liberia.
Lavele KortimaiMinistry of Health, Voinjama, Liberia.
Fallah MosokaNational Public Health Institute, Monrovia, Liberia.
Baller AprilWorld Health Organization, Monrovia, Liberia.
Mouhamoud NuhaWorld Health Organization, Monrovia, Liberia.
Victoria KataweraWorld Health Organization, Monrovia, Liberia.
Thomas NagbeNational Public Health Institute, Monrovia, Liberia.
Alpha TambaMinistry of Health, Voinjama, Liberia.
Williams DesmoundUS Centers for Disease Control and Prevention, Monrovia, Liberia.
Richard MulbahWorld Health Organization, Monrovia, Liberia.
Formenty PierreWorld Health Organization, Geneva, Switzerland.
Emmanuel Musa OnucheWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
Joseph Okeibunor ChukwudiWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
Ambrose TalisunaWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
Ali Ahmed YahayaWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
Soatiana RajatonirinaWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
Tolbert NyenswahNational Public Health Institute, Monrovia, Liberia.
Bernice DahnMinistry of Health, Monrovia, Liberia.
Alex GasasiraWorld Health Organization, Monrovia, Liberia.
Ibrahima Socé FallWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
University of Liberia · LRWorld Health Organization Regional Office for Africa · CGNational Public Health Institute of Liberia · LRWorld Health Organization - Pakistan · PKWorld Health Organization · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

introductionEarly detection of disease outbreaks is paramount to averting associated morbidity and mortality. In January 2018, nine cases including four deaths associated with meningococcal disease were reported in three communities of Foya district, Lofa County, Liberia. Due to the porous borders between Lofa County and communities in neighboring Sierra Leone and Guinea, the possibility of epidemic spread of meningococcal disease could not be underestimated.

methodsThe county incidence management system (IMS) was activated that coordinated the response activities. Daily meetings were conducted to review response activities progress and challenges. The district rapid response team (DRRT) was the frontline responders. The case based investigation form; case line list and contacts list were used for data collection. A data base was established and analysed daily for action. Tablets Ciprofloxacin were given for chemoprophylaxis.

resultsSixty-seven percent (67%) of the cases were males and also 67% of the affected age range was 3 to 14 years and attending primary school. The attack rate was 7/1,000 population and case fatality rate was 44.4 % with majority of the deaths occurring within 24-48 hours of symptoms onset. Three of the cases tested positive for Neisseria Meningitidis sero-type W while six cases were Epi-linked. None of the cases had recent meningococcal vaccination and no health-worker infections were registered.

conclusionThis cluster of cases of meningococcal disease during the meningitis season in a country that is not traditionally part of the meningitis belt emphasized the need for strengthening surveillance, preparedness and response capacity to meningitis.

Indexed as

Disease OutbreaksAdolescentAged, 80 and overAnti-Bacterial AgentsChildChild, PreschoolCiprofloxacinFemaleHumansLiberiaMaleMeningitis, MeningococcalMeningococcal InfectionsMiddle AgedNeisseria meningitidisPopulation SurveillanceAnti-Bacterial AgentsCiprofloxacinFoyaKlemabenduLofameningitis beltMeningococcal diseaserapid response

Identifiers

PMID31404290
PMCPMC6675931
OpenAlexW2947348997

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.