Evidence map›Paper›PMID 27800077›Full record

ArticleThe Pan African medical journal2016

Cholera public health surveillance in the Republic of Cameroon-opportunities and challenges.

Moise Chi Ngwa, Song Liang, Leonard Mbam Mbam, Arabi Mouhaman, Andrew Teboh, Kaousseri Brekmo, Onana Mevoula, John Glenn Morris

Abstract read
In one paragraph

Article in The Pan African medical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

28 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

8 authors.

Moise Chi NgwaEmerging Pathogens Institute, University of Florida, Gainesville, Florida, USA; Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, USA.
Song LiangEmerging Pathogens Institute, University of Florida, Gainesville, Florida, USA; Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, USA.
Leonard Mbam MbamWorld Health Organization country office for the Republic of Cameroon, Yaoundé, Cameroon.
Arabi MouhamanDepartment of Environmental Sciences, Higher Institute of the Sahel, University of Maroua, Maroua, Cameroon.
Andrew TebohCentral Africa Field Epidemiology and Laboratory Training Program, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon.
Kaousseri BrekmoRegional Public Health Delegation for the Far North Region, Maroua, Cameroon.
Onana MevoulaWorld Health Organization country office, Far North Region, Maroua, Cameroon.
John Glenn MorrisEmerging Pathogens Institute, University of Florida, Gainesville, Florida, USA; Department of Medicine, College of Medicine, University of Florida, Gainesville, Florida, USA.

Funding

Cholera Transmission in Gressier Region, HaitiR01AI097405 · NIAID · UNIVERSITY OF FLORIDA · PI MORRIS, JOHN GLENN · 2012 to 2015
$2.7M
NIAID NIH HHS R01 AI097405World Health Organization 001
6 · The paper itself

Abstract

introductionIn Cameroon, cholera has periodically resurfaced since it was first reported in 1971. In 2003, Cameroon adapted the Integrated Disease Surveillance and Response (IDSR) strategy to strengthen surveillance in the country. This study was an in-depth description and assessment of the structure, core and support functions, and attributes of the current cholera surveillance system in Cameroon. It also discussed its strengths and challenges with hope that lessons learned could improve the system in Cameroon and in other countries in Africa implementing the IDSR strategy.

methodsSemi-structured key informant interviews, peer reviewed articles, and government record review were conducted in the Far North and Centre Regions of Cameroon. We used the matrix and conceptual framework from the World Health Organization (WHO) and Centers for Disease Control and Prevention, WHO Regional Office for Africa Technical Guidelines to frame the study. Site visits included the WHO country office, the ministry of public health (MoPH), two Regional Public Health Delegations (RPHDs), eight health districts (HDs) and health facilities (HFs) including two labs.

resultsCholera surveillance is passive but turns active during outbreaks and follows a hierarchical structure. Cholera data are collected at HFs and sent to HDs where data are compiled and sent to the RPHD in paper format. RPHDs de-identify, digitalize, and send the data to the MoPH via internet and from there to the WHO. The case definition was officially changed in 2010 but the outdated definition was still in use in 2013. Nationally, there are 3 laboratories that have the ability to confirm cholera cases; the lack of laboratory capacity at HFs hampers case and outbreak confirmation. The absence of structured data analysis at the RPHD, HD, and HF further compounds the situation, making the goal of IDSR of data analysis and rapid response at the HD very challenging. Feedback is strongest at the central level (MoPH) and non-existent at the levels below it, with only minimal training and supervision of staff. In 2012, mobile phone coverage expanded to all 183 HDs and to HFs in 2014 in the Far North and North Regions. The phones improved immediate reporting and outbreak control. Further, the creation of cholera command and control centers, and introduction of laptops at all RPHDs are major strengths in the surveillance system. Completeness and timeliness of reporting varied considerably among levels.

conclusionSignificant milestones in the hierarchical structure towards integration and achieving early detection and rapid response in cholera surveillance are in effective use; however, some challenges exist. The surveillance system lack labs at HFs and there is no data analysis at HD level. Thus, the goal of IDSR-strategy of early detection, data analysis, and rapid response at the HD level is a challenge. Both human and material resources are needed at the HD level to achieve this goal.

Indexed as

CameroonCell PhoneCholeraDisease OutbreaksHumansProgram DevelopmentPublic Health SurveillanceCameroonCholeraIntegrated Disease Surveillance Response strategysurveillance

Identifiers

PMID27800077
PMCPMC5075464

What OpenQuestion holds

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Registered trials

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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.