Evidence map›Paper›PMID 35968472›Full record

ArticleFrontiers in public health2022

Jehangir Khan, Muhammad Adil, Gang Wang, Tsheten Tsheten, Dongjing Zhang, Wenjie Pan, Munir Ahmad Khan, Inayat Ur Rehman, Xiaoying Zheng, Zhongdao Wu and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Dengue Cases in the Eastern Region of Afghanistan, 2021-2023.Journal of epidemiology and global health · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Phylogeographic Patterns and Genetic Diversity ofTropical medicine and infectious disease · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

11 authors.

Jehangir KhanDepartment of Parasitology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Muhammad AdilPakistan Bureau of Statistics, Islamabad, Pakistan.
Gang WangDepartment of Parasitology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Tsheten TshetenDepartment of Global Health, Research School of Population Health, College of Health and Medicine, Australian National University, Canberra, ACT, Australia.
Dongjing ZhangDepartment of Parasitology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Wenjie PanGuangzhou SYSU Nuclear and Insect Biotechnology Co., Ltd., Guangzhou, China.
Munir Ahmad KhanMedical Unit, Khyber Teaching Hospital Peshawar, Peshawar, Pakistan.
Inayat Ur RehmanDepartment of Pharmacy, Abdul Wali Khan University Mardan, Mardan, Pakistan.
Xiaoying ZhengDepartment of Parasitology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Zhongdao WuDepartment of Parasitology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Yu WuDepartment of Parasitology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dengue fever has been responsible for around 12 countrywide large outbreaks in Pakistan, resulting in 286,262 morbidities and 1,108 deaths. Khyber Pakhtunkhwa (KP) is the most recently impacted province. This study aimed to investigate the molecular, epidemiological, and potential elements that contribute to increasing dengue transmission patterns, and knowledge, attitude, and practice (KAP) toward dengue in KP province. Method: This cross-sectional community-based study was conducted (June-December, 2021) in two phases. Phase I involved the epidemiological ( Results: Peshawar district had the highest dengue cases (60.0%) associated with the predominant co-circulation of DENV-2 (45.8%) and DENV-3 (50.4%) serotypes. A rise in cases was reported in October (41.8%) followed by September (27.9%) and August (14.4%; Conclusion: Multiple poor socioeconomic elements are influencing dengue fever transmission in the province. Higher KAP levels may explain the low frequency of dengue in non-hotspot districts. Our study emphasizes the need for effective and long-term public health education, strengthened vector surveillance, and expanded laboratory capacity for better diagnosis and management of dengue cases to better predict the burden and seasonality of disease in the country.

Indexed as

DengueCross-Sectional StudiesHealth Knowledge, Attitudes, PracticeHumansMalePakistanRisk FactorsDENVepidemiologyKAPserologySES

Identifiers

PMID35968472
PMCPMC9372552

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.