Mapping the stability of febrile illness hotspots in Punjab from 2012 to 2019-a spatial clustering and regression analysis

M Verma, S Panwar, SS Sahoo, GS Grover… - BMC Public Health, 2023 - Springer
Introduction Febrile illnesses (FI) represent a typical spectrum of diseases in low-resource
settings, either in isolation or with other common symptoms. They contribute substantially to …

Febrile illness mapping—much of the world without data and without evidence-based treatments

PN Newton, PJ Guerin - BMC medicine, 2020 - Springer
Background The COVID-19 pandemic has highlighted the world-changing impact of
infectious diseases to all 7.8 billion people. Our distant ancestors were aware of the …

Mapping the stability of malaria hotspots in Bangladesh from 2013 to 2016

A Noé, SI Zaman, M Rahman, AK Saha… - Malaria journal, 2018 - Springer
Background Malaria claims hundreds of thousands of lives each year, most of them children.
A “malaria-free world” is the World Health Organization's vision, but elimination from the …

[HTML][HTML] A spatio-temporal analysis of influenza-like illness in Iran from 2011 to 2016

MH Panahi, M Parsaeian, MA Mansournia… - Medical Journal of the …, 2020 - ncbi.nlm.nih.gov
Background: Investigating the spatial aspects of the disease can help decision-makers and
researchers better understand the pattern of the disease, and is also very important in the …

Estimating the spatial distribution of acute undifferentiated fever (AUF) and associated risk factors using emergency call data in India. A symptom-based approach for …

B Kauhl, E Pilot, R Rao, O Gruebner, J Schweikart… - Health & place, 2015 - Elsevier
Abstract The System for Early-warning based on Emergency Data (SEED) is a pilot project to
evaluate the use of emergency call data with the main complaint acute undifferentiated fever …

Spatio-temporal investigations of dengue fever in Pakistan through an HL7 based public health framework for hotspot analysis

F Khalique, R Shaheen, SA Khan - IEEE Access, 2020 - ieeexplore.ieee.org
The importance of a standard based interoperability framework is now widely recognized. In
order to understand the challenges, feasibility and impact of outcomes of such architectures …

Etiological spectrum of persistent fever in the tropics and predictors of ubiquitous infections: a prospective four-country study with pooled analysis

E Bottieau, L Van Duffel, S El Safi, KD Koirala… - BMC medicine, 2022 - Springer
Background Persistent fever, defined as fever lasting for 7 days or more at first medical
evaluation, has been hardly investigated as a separate clinical entity in the tropics. This …

Evaluating the surveillance system for spotted fever in Brazil using machine-learning techniques

DM Lopez, FVL De Mello, CM Giordano Dias… - Frontiers in Public …, 2017 - frontiersin.org
This work analyses the performance of the Brazilian spotted fever (SF) surveillance system
in diagnosing and confirming suspected cases in the state of Rio de Janeiro (RJ), from 2007 …

A spatial statistical approach to analyze malaria situation at micro level for priority control in Ranchi district, Jharkhand

R Saxena, BN Nagpal, MK Das… - Indian Journal of …, 2012 - journals.lww.com
Methods: Spatial statistics tools like Global Moran's I index, Getis-Ord Gi* and Standard
Deviational Ellipse were used in GIS domain for analysis. Results: Spatial distribution …

Febrile Illness Evaluation in a Broad Range of Endemicities (FIEBRE): protocol for a multisite prospective observational study of the causes of fever in Africa and Asia

H Hopkins, Q Bassat, CIR Chandler, JA Crump… - BMJ open, 2020 - bmjopen.bmj.com
Introduction Fever commonly leads to healthcare seeking and hospital admission in sub-
Saharan Africa and Asia. There is only limited guidance for clinicians managing non …