Evidence map›Paper›PMID 36032477›Full record

ArticleAfrican health sciences2022

Incidence of Dengue fever, serotypes, clinical features, and laboratory markers: a case study of 2019 outbreak at district Shangla, KP, Pakistan.

Abid Ur Rehman, Faheem Anwar, Muhammad Tayyab, Ihteshamul Haq, Mohsina Haq, Ashfaq Ahmed, Hala Haq, Abbas Saleem Khan

Abstract read
In one paragraph

Article in African health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

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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

5 citing papers in PubMed.

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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.

Abid Ur RehmanDepartment of Biotechnology and Genetic Engineering, Hazara University, Mansehra 21300, KP, Pakistan.
Faheem AnwarDepartment of Biotechnology and Genetic Engineering, Hazara University, Mansehra 21300, KP, Pakistan.
Muhammad TayyabInstitute of Biotechnology and Genetic Engineering, The University of Agriculture, Peshawar, KP Pakistan.
Ihteshamul HaqDepartment of Biotechnology and Genetic Engineering, Hazara University, Mansehra 21300, KP, Pakistan.
Mohsina HaqPeshawar Medical College, Riphah International University, Warsak Road Peshawar KP Pakistan.
Ashfaq AhmedDepartment of Microbiology, Peshawar Medical College, Riphah International University, Warsak Road Peshawar KP Pakistan.
Hala HaqHaematology, Pathology Department National University of Medical Sciences Rawalpindi Pakistan.
Abbas Saleem KhanPeshawar Dental College, Riphah International University, Warsak Road Peshawar KP Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dengue is a widely spread mosquito-borne infection in humans, which in recent decades declared is public health problem globally. The dengue virus contains 4 different serotypes (DENV-1, DENV-2, DENV-3, and DENV-4) which belong to the genus Flavivirus. Aims: A descriptive experimental study was conducted to determine the epidemiology, types of Dengue serotypes, clinical features, laboratory probe, and markers for primary diagnosis of dengue virus infection in hospitalized patients. Methodology: A total of 691 suspects were diagnosed from August to October 2019 in district Shangla KP, Pakistan. Serological tests were used for nonstructural protein-1 antigen (NS1), and antibodies (immunoglobulin-M (IgM) & Immunoglobulin-G (IgG)) while real-time PCR was used to confirm the cases. The data was statistically analyzed using IBM-SPSS Statistics 20 version. Results: The dengue virus infection was more prevalent in the male group (68.09%) than the female group (31.1%). A large number of patients were from rural areas (63.5%) while from urban areas were (36.4%), whereas Besham tehsil was found the most affected compared to other regions. The most prevalent serotype observed in our study was DENV-3 (56.60%) while DENV-4 was the least prevalent serotype (1.88%). Among the age-wise analysis of dengue-virus-infected individuals, the age group of 19-37 years (64.07%) was found the most affected group. The month-wise analysis revealed that the highest number of infections (49.8%) were recorded in September. Significant differences were noticed among blood parameters. Conclusion: The possible reasons for the dengue overwhelming in the study area could be less or lack of awareness particularly regarding the transmission of viral infections, improper sewage management, and no effective vector control strategies that lead the dengue outbreaks in the study population.

Indexed as

DengueDengue VirusAdultAnimalsAntibodies, ViralBiomarkersDisease OutbreaksFemaleHumansImmunoglobulin GIncidenceMaleMosquito VectorsPakistanSerogroupViral Nonstructural ProteinsAntibodies, ViralBiomarkersImmunoglobulin GViral Nonstructural ProteinsDengueDENVOutbreakPakistanreal-time PCRRNA Virus

Identifiers

PMID36032477
PMCPMC9382532

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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.