Assessing the impact of ecological, climatic, and socioeconomic factors on age-specific malaria incidence in India: a mixed-model approach using the Global Burden of Disease Study (2010–2019)

The study underscores the critical interactions between climatic variables and socio-economic factors in shaping the trends of malaria incidence across India. These findings highlight the necessity for adaptive, localized public health strategies that integrate environmental monitoring with socio-economic data to efficiently predict and manage malaria outbreaks.

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Publication Details

Journal
Malaria Journal
Published
2024-11-08
DOI
https://doi.org/10.1186/s12936-024-05151-2
Citations
4
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
2.17
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article

Assessing the impact of ecological, climatic, and socioeconomic factors on age-specific malaria incidence in India: a mixed-model approach using the Global Burden of Disease Study (2010–2019)

Sarvesh Rustagi, Abhay Gaidhane, Muhammed Shabil, Maha F. Al‐Subaie et al.
4 citations
Malaria Journal
Malaria Research and Control
2.17
article

Assessing the impact of ecological, climatic, and socioeconomic factors on age-specific malaria incidence in India: a mixed-model approach using the Global Burden of Disease Study (2010–2019)

Sarvesh Rustagi, Abhay Gaidhane, Muhammed Shabil, Maha F. Al‐Subaie, Prakasini Satapathy, Ali A. Rabaan, Maha A. Alshiekheid, Amal Sabour, Bijaya Kumar Padhi, Mohammed Garout, Ganesh Bushi, Suhas Ballal, Ahmed Saif, Balvir Singh Tomar, Hayam Ali AlRasheed, Fatimah S. Aljebaly, Mandeep Kumar, Pooja Bansal, Quazi Syed Zahiruddin, Nawal A. Al Kaabi, Ayash Ashraf, Pramod Rawat
article en
4 citations

Abstract

The study underscores the critical interactions between climatic variables and socio-economic factors in shaping the trends of malaria incidence across India. These findings highlight the necessity for adaptive, localized public health strategies that integrate environmental monitoring with socio-economic data to efficiently predict and manage malaria outbreaks.

Malaria JournalVol. 23(1)
Chandigarh University (IN), Princess Nourah bint Abdulrahman University (SA), Jain University (IN), Lovely Professional University (IN), Alfaisal University (SA), Qassim University (SA), Khalifa University of Science and Technology (AE), Umm al-Qura University (SA), NIMS University (IN), Saudi Aramco Medical Services Organization (SA), Sulaiman Al Rajhi Colleges (SA), University of Haripur (PK), King Saud University (SA), Uttaranchal University (IN), Jawaharlal Nehru Medical College (IN), Abu Dhabi Health Services (AE), Vivekananda Global University (IN), Datta Meghe Institute of Higher Education and Research (IN), Post Graduate Institute of Medical Education and Research (IN), Graphic Era University (IN), King Khalid University (SA), Saveetha University (IN)
Openalex Percentile: Top 12%
Malaria Research and Control
2.17
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