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14 results for “Survey of Pakistan”

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zenodo44/100

CLDF dataset derived from Backstrom and Radloff's "Sociolinguistic Survey of Northern Pakistan" from 1992

<p>Cite the source of the dataset as:</p> <blockquote> <p>Backstrom, Peter C. and Radloff, Carla F. (1992): Sociolinguistic Survey of Northern Pakistan, Volume 2. Languages of Northern Areas. Islamabad: National Institute of Pakistan Studies.</p> </blockquote>

opencc-by-4.0Jul 2021View details →
zenodo36/100

Ground Truthing Survey Data of Crop Type in Pakistan (Rabi 2022‒Kharif 2023)

<p>The dataset comprises ground truthing survey data collected during the winter (Rabi) season of 2022&ndash;23 and the summer (Kharif) season of 2023 in Pakistan. These surveys were conducted as part of the Asian Development Bank's (ADB) initiative to support Pakistan's Ministry of National Food Security and Research (MNFSR) and provincial Crop Reporting Service (CRS) departments in adopting technology-based data collection practices. There were 43,892 data points collected during the winter (Rabi) season and 92,951 during the summer (Kharif) season. The data collected is available in the below-mentioned format.</p> <div> <table> <tbody> <tr> <td> <p><strong>Variable Name</strong></p> </td> <td> <p><strong>Description</strong></p> </td> <td> <p><strong>Data Type</strong></p> </td> <td> <p><strong>Example Values</strong></p> </td> </tr> <tr> <td> <p>ID</p> </td> <td> <p>Unique identifier for each data point</p> </td> <td> <p>Text</p> </td> <td> <p>3-324-20-2-19082023-1-1</p> </td> </tr> <tr> <td> <p>Season</p> </td> <td> <p>Season in which data was collected</p> </td> <td> <p>Text</p> </td> <td> <p>Rabi</p> </td> </tr> <tr> <td> <p>Province</p> </td> <td> <p>Name of the province where data was collected</p> </td> <td> <p>Categorical</p> </td> <td> <p>Khyber Pakhtunkhwa</p> </td> </tr> <tr> <td> <p>District</p> </td> <td> <p>Name of the district where data was collected</p> </td> <td> <p>Categorical</p> </td> <td> <p>Malakand</p> </td> </tr> <tr> <td> <p>Date</p> </td> <td> <p>Date showing when the data was collected</p> </td> <td> <p>Date</p> </td> <td> <p>19/08/2023</p> </td> </tr> <tr> <td> <p>Latitude</p> </td> <td> <p>Latitude coordinate of the data point</p> </td> <td> <p>Float</p> </td> <td> <p>34.449521</p> </td> </tr> <tr> <td> <p>Longitude</p> </td> <td> <p>Longitude coordinate of the data point</p> </td> <td> <p>Float</p> </td> <td> <p>71.907877</p> </td> </tr> <tr> <td> <p>Code</p> </td> <td> <p>Numeric code representing specific crop (e.g. Wheat is given code 1)</p> </td> <td> <p>Integer</p> </td> <td> <p>14</p> </td> </tr> <tr> <td> <p>Land</p> </td> <td> <p>Type of land</p> </td> <td> <p>Categorical</p> </td> <td> <p>Rice, Intercropping</p> </td> </tr> <tr> <td> <p>Description</p> </td> <td> <p>Detail of land type</p> </td> <td> <p>Categorical</p> </td> <td> <p>Orchard (Apple)</p> </td> </tr> <tr> <td> <p>Stage</p> </td> <td> <p>Stage of crop at the time of data collection</p> </td> <td> <p>Categorical</p> </td> <td> <p>Reproductive</p> </td> </tr> </tbody> </table> </div> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Apr 2024View details →
dryad32/100

Impact of national drug pricing policy 2018 on access to medicines in Lahore Division, Pakistan: A pre-post survey study using WHO/HAI methodology

<p><span><b>Objective: </b>To evaluate the impact of new national drug pricing policy (NDPP) 2018 on the access to medicines in terms of prices, availability, and affordability.<b> </b></span></p> <p><span><b>Design: </b>Two cross-sectional surveys were undertaken before and after the launch of NDPP 2018, using a modified WHO/HAI methodology.</span></p> <p><span><b>Setting: </b>Four districts of Lahore division, Pakistan.  </span></p> <p><span><b>Participants: </b>16 public sector hospitals and 16 private sector retail pharmacies. </span></p> <p><span><b>Measures: </b>The pre- and post-survey data on prices and availability of Lowest Price Generics (LPGs) and Originator Brands (OBs) of 50 medicines were obtained by visiting the same public and private sector health facilities (n=32). Out of 50, 46 surveyed medicines were from National Essential Medicines List (NEML). Inflation-adjusted median unit prices (MUPs) and median price ratios (MPRs) from 2019 were used for price comparison. Affordability was calculated in terms of number of days' wages required to get a standard treatment by the lowest paid unskilled government worker.</span></p> <p><span><b>Results:</b> The overall mean percent availabilities remained poor in both years i.e. far less than 80%. In public sector, the mean percent availability of OBs improved from 6.8% to 33.1% whereas, in case of LPGs it was reduced from 35.1% to 9%. In private sector, the mean percent availability of both OBs and LPGs demonstrated slight improvements in 2019 i.e. 55.0% to 58.3% and 20.3% to 32.3%. The adjusted MUPs and MPRs of OBs significantly increased by a median of 4.29% (Wilcoxon test p=0.001, p=0.0001).  Whereas, the adjusted MUPs and MPRs of LPGs were increased by a median of 15.7% (p=0.002, p=0.0002). Overall the affordability of many medicines for common ailments reduced significantly in 2019.</span></p> <p><span><b>Conclusion</b><b>s</b><b>: </b>The availability of medicines slightly improved, except in the case of LPGs which was reduced at public sector. The implementation of NDPP 2018 led to increase in drug prices, making the standard treatment for some of the most prevalent ailments unaffordable. So verily, the drug pricing policy must be reviewed to ensure access to essential medicines.</span></p>

opencc-zeroSep 2020View details →
dryad32/100

A cross-sectional survey on bat human interaction in Pakistan: one health perspective

<p><b>Background and Aim</b></p> <p class="MDPI17abstract">Serologic evidence has identified <i>Lyssavirus</i> exposure among bats in the Indian subcontinent. This study aims to investigate the perception of people regarding bats and the frequency of bat human interaction with One Health implications.</p> <p class="MDPI17abstract"><b>Material and Method </b></p> <p class="MDPI17abstract">A cross-sectional study was conducted using a structured questionnaire among individuals (n=1466) in two distinct topographic residential backgrounds (Mountainous and Plain regions) in Punjab and Khyber Pakhtunkhwa province in Pakistan.</p> <p class="MDPI17abstract"><b>Result </b></p> <p class="MDPI21heading1"><span><span><span>A considerable number of respondents (28%) reported bat's left fruits in their gardens. People who saw bat left fruits in their garden had also reported more bat conflict incidences (32%) as compared to those who had not seen bat left fruit (16%). A higher proportion of respondents from the mountainous districts (23%) reported bat conflict incidents, compared to the plain region respondents (17%). Univariate analysis model also highlighted that topographic residential background (mountainous vs plain residential area) had significance (p&lt;0.05) in describing bat conflict and suspected human rabies-related deaths, in comparison with provincial residential background (Punjab vs Khyber Pakhtunkhwa).  </span></span></span></p> <p class="MDPI17abstract"><b>Conclusion </b></p> <p class="MDPI17abstract">Our findings indicate the necessity of a One Health comprehensive surveillance system for emerging and re-emerging zoonotic pathogens, including wildlife as a potential Lyssavirus reservoir, within a context of increased public health education efforts targeted at bats. Epidemiologic and ecologic investigations, as well as laboratory characterization of the virus responsible for human deaths in the mountainous regions, in Pakistan, will provide essential information required to develop strategies for zoonotic pathogen prevention and control.</p>

opencc-zeroSep 2020View details →
dryad32/100

Knowledge, attitude and practice (KAP) survey of canine rabies in Khyber Pakhtunkhwa and Punjab Province of Pakistan

<div> <div class="sec sec-first"> Background <p class="p p-first-last">This study aimed to assess the extent of knowledge and understanding of rabies disease in rural and urban communities of Pakistan. It also identified malpractices after suspected dog bite that might pose a risk for humans contracting rabies.</p> </div> <div class="sec"> Methods <p class="p p-first-last">A cross-sectional study was conducted (<em>n</em> = 1466) on people having different age groups and educational levels in four different geographic regions of Punjab and Khyber Pakhtunkhwa provinces in Pakistan. Knowledge, attitude, and practices of people were assessed using a structured questionnaire. We used a bivariate and multivariate analysis to study the association between rabies related mortalities in near or extended family members and different risk behaviors.</p> </div> <div class="sec"> Results <p class="p p-first">Our results demonstrate that the majority of the juvenile population (less than 18 years of age) were not aware of the clinical signs of rabies in animals. 75% of the total respondents were not vaccinated against rabies, 60% did not seek a doctor's advice after a suspected animal bite, and 55% had inadequate health care facilities for rabies patients in local hospitals.</p> <p class="p p-last">Respondents that had pets at home had not vaccinated (38%; <em>p</em> &lt; 0.05; odds ratio 1.58) themselves against rabies due to lack of knowledge and awareness of pre-exposure prophylaxis for rabies (51%; <em>p</em> &lt; 0.05; odds ratio 1.25). They also tend to not visit doctor after suspected bite (52%; <em>p &lt;</em> 0.05; odds ratio 1.97), which may had resulted in more deaths (65%; <em>p &lt;</em> 0.05; odds ratio 1.73) of someone in their near or extended family due to rabies.</p> </div> <div class="sec sec-last"> Conclusions <p class="p p-first-last">Lack of knowledge about the nature of rabies disease and prophylaxis has contributed to increase of rabies related deaths. Inadequate health care facilities and poor attitude of not seeking medical attention after suspected dog bite are the major reasons of rabies related deaths. These findings could help in devising a targeted management strategy and awareness program to control and reduce the incidence of human rabies related deaths in Pakistan.</p> </div> </div>

opencc-zeroSep 2020View details →
zenodo32/100

500k Maps of Pakistan by Survey of Pakistan

<p>29 maps of Pakistan with scale 1:500,000 issued between 1968 and 1987.&nbsp; These maps use the modern international numbering system instead of the earlier India and Adjacent Countries (I&amp;AC) system introduced by the Survey of India.</p>

opencc-by-4.0Jan 2024View details →
dryad32/100

Data from: Gendered disparities in quality of cataract surgery in a marginalised population in Pakistan: the Karachi marine fishing communities eye and general health survey

Open the record for dataset details and reuse information.

publicJun 2016View details →
dryad32/100

A cross-sectional survey on bat human interaction in Pakistan: one health perspective

Open the record for dataset details and reuse information.

publicOct 2021View details →
dryad32/100

Impact of national drug pricing policy 2018 on access to medicines in Lahore Division, Pakistan: A pre-post survey study using WHO/HAI methodology

Open the record for dataset details and reuse information.

publicSep 2020View details →
dryad32/100

Knowledge, attitude and practice (KAP) survey of canine rabies in Khyber Pakhtunkhwa and Punjab Province of Pakistan

Open the record for dataset details and reuse information.

publicSep 2020View details →
zenodo24/100

Survey of India and Pakistan 63 / 50k map index

<p>This chart contains hyperlinks to each block of Survey of India or Pakistan 63 / 50 k maps.&nbsp; Download this map to link to the page with each block of maps.</p>

opencc-by-4.0Jun 2023View details →
ClinicalTrials.gov24/100

Exploring the Risk Factors for Colorectal Cancer in Our General Population Using Asian Pacific Screening Score: a Survey From Pakistan

ClinicalTrials.gov study NCT05617378. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Residual Symptoms and the Quality of Life in Individuals Recovered From COVID-19 Infection: A Survey From Pakistan

ClinicalTrials.gov study NCT05148676. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Pakistan Epidemiological Survey in Acute Pharyngitis

ClinicalTrials.gov study NCT01720927. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

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